Chengjun Liu
Chengjun Liu
Professor, Computer Science
4306 Guttenberg Information Technologies Center (GITC)
About Me
Chengjun Liu received his Ph.D. from George Mason University in 1999, and he is presently a Professor of Computer Science at New Jersey Institute of Technology.
Education
Ph.D.; George Mason University; ; 1999
M.S.; Harbin Institute of Technology; ; 1993
B.S.; Harbin Institute of Technology; ; 1990
M.S.; Harbin Institute of Technology; ; 1993
B.S.; Harbin Institute of Technology; ; 1990
Website
2024 Fall Courses
CS 701B - MASTER'S THESIS
CS 792 - PRE-DOCTORAL RESEARCH
CS 670 - ARTIFICIAL INTELLIGENCE
CS 790A - DOCT DISSERTATION & RES
CS 488 - INDEPENDENT STUDY IN CS
CS 700B - MASTER'S PROJECT
CS 725 - INDEPENDENT STUDY I
CS 726 - INDEPENDENT STUDY II
CS 792 - PRE-DOCTORAL RESEARCH
CS 670 - ARTIFICIAL INTELLIGENCE
CS 790A - DOCT DISSERTATION & RES
CS 488 - INDEPENDENT STUDY IN CS
CS 700B - MASTER'S PROJECT
CS 725 - INDEPENDENT STUDY I
CS 726 - INDEPENDENT STUDY II
Teaching Interests
Computer Vision
Pattern Recognition and Applications
Face Recognition and Video Processing
Image Processing
Artificial Intelligence
Computer Programming and Problem Solving
Pattern Recognition and Applications
Face Recognition and Video Processing
Image Processing
Artificial Intelligence
Computer Programming and Problem Solving
Past Courses
CS 101: COMP PROG & PROB SOLVING
CS 370: INTRO TO ARTIFCL INTELLGNCE
CS 370: INTRO TO ARTIFICIAL INTELLIGENC
CS 370: INTRODUCTION TO ARTIFICIAL INTELLIGENCE
CS 670: ARTIFICIAL INTELLIGENCE
CS 780: COMPUTER VISION
CS 782: PATTERN RECOGNITION & APPLICATN
CS 782: PATTERN RECOGNTN & APPLCTNS
CS 370: INTRO TO ARTIFCL INTELLGNCE
CS 370: INTRO TO ARTIFICIAL INTELLIGENC
CS 370: INTRODUCTION TO ARTIFICIAL INTELLIGENCE
CS 670: ARTIFICIAL INTELLIGENCE
CS 780: COMPUTER VISION
CS 782: PATTERN RECOGNITION & APPLICATN
CS 782: PATTERN RECOGNTN & APPLCTNS
Research Interests
Video Analytics,
Pattern Recognition (Face/Iris Recognition),
Machine Learning (Statistical Learning, Kernel Methods, Similarity Measures),
Computer Vision (Object/Face Detection, Video Processing),
Security (Biometrics),
Image Processing (New Color Spaces, Gabor Image Representation)
Pattern Recognition (Face/Iris Recognition),
Machine Learning (Statistical Learning, Kernel Methods, Similarity Measures),
Computer Vision (Object/Face Detection, Video Processing),
Security (Biometrics),
Image Processing (New Color Spaces, Gabor Image Representation)
Conference Proceeding
Federated Learning Aided Deep Convolutional Neural Network Solution for Smart Traffic Management
2023
Federated Learning Aided Deep Convolutional Neural Network Solution for Smart Traffic Management
IEEE, May 2023
Ammunition Component Classification Using Deep Learning
the 18th International Conference on Machine Learning and Data Mining, MLDM 2022, July 16-21, 2022, New York, USA., July (3rd Quarter/Summer) 2022
Traffic Surveillance Video Analytics: A Concise Survey
the 18th International Conference on Machine Learning and Data Mining, MLDM 2022, July 16-21, 2022, New York, USA., July (3rd Quarter/Summer) 2022
Illumination-Aware Image Segmentation for Real-Time Moving Cast Shadow Suppression
IEEE, the 2022 IEEE International Conference on Imaging Systems and Techniques, IST 2022, June 21-23, 2022, Virtual., June 2022
2023
Federated Learning Aided Deep Convolutional Neural Network Solution for Smart Traffic Management
IEEE, May 2023
Ammunition Component Classification Using Deep Learning
the 18th International Conference on Machine Learning and Data Mining, MLDM 2022, July 16-21, 2022, New York, USA., July (3rd Quarter/Summer) 2022
Traffic Surveillance Video Analytics: A Concise Survey
the 18th International Conference on Machine Learning and Data Mining, MLDM 2022, July 16-21, 2022, New York, USA., July (3rd Quarter/Summer) 2022
Illumination-Aware Image Segmentation for Real-Time Moving Cast Shadow Suppression
IEEE, the 2022 IEEE International Conference on Imaging Systems and Techniques, IST 2022, June 21-23, 2022, Virtual., June 2022
SHOW MORE
Real-Time Accident Detection in Traffic Surveillance Using Deep Learning
IEEE, the 2022 IEEE International Conference on Imaging Systems and Techniques, IST 2022, June 21-23, 2022, Virtual., June 2022
Real-Time Hysteresis Foreground Detection in Video Captured by Moving Cameras
IEEE, the 2022 IEEE International Conference on Imaging Systems and Techniques, IST 2022, June 21-23, 2022, Virtual., June 2022
Unsupervised Anomaly Detection in Traffic Surveillance Based on Global Foreground Modeling
IEEE, the 2022 IEEE International Conference on Imaging Systems and Techniques, IST 2022, June 21-23, 2022, Virtual., June 2022
A New Online Approach for Moving Cast Shadow Suppression in Traffic Videos
IEEE, the 24th IEEE International Conference on Intelligent Transportation Systems, ITSC 2021, September 19-22, 2021, Indianapolis, IN, United States., September 2021
An Innovative Video Quality Assessment Method and An Impairment Video Dataset
IEEE, 2021 IEEE International Conference on Imaging Systems and Techniques, IST 2021, August 24-26, 2021, New York, USA., August 2021
Anomalous Driving Detection for Traffic Surveillance Video Analysis
IEEE, 2021 IEEE International Conference on Imaging Systems and Techniques, IST 2021, August 24-26, 2021, New York, USA., August 2021
Automatic Road Detection in Traffic Videos
IEEE, 10th IEEE International Conference on Big Data and Cloud Computing, December 17-19, 2020., December 2020
A New Adaptive Bidirectional Region-of-Interest Detection Method for Intelligent Traffic Video Analysis
IEEE, the 3rd IEEE International Conference on Artificial Intelligence and Knowledge Engineering, December 9-11, 2020., December 2020
A Statistical Modeling Method for Road Recognition in Traffic Video Analytics
11th IEEE International Conference on Cognitive Infocommunications, Sep 23-25, 2020., September 2020
Robust Road Region Extraction in Video Under Various Illumination and Weather Conditions
IEEE, Fourth IEEE International Conference on Image Processing, Applications and Systems, 9-11 December 2020, Genova, Italy, September 2020
A Real Time Accident Detection Framework for Traffic Video Analysis
16th International Conference on Machine Learning and Data Mining, July (3rd Quarter/Summer) 2020
A Real Time Accident Detection Framework for Traffic Video Analysis
the 16th International Conference on Machine Learning and Data Mining, July 18-23, 2020., July (3rd Quarter/Summer) 2020
Moving Cast Shadow Detection in Video Based on New Chromatic Criteria and Statistical Modeling
18th IEEE International Conference on Machine Learning and Applications (ICMLA 2019), December 2019
An Unsupervised Statistical Moving Shadow Detection Method for Video Analysis
the 15th International Conference on Machine Learning and Data Mining, July (3rd Quarter/Summer) 2019
Vehicle Classication in Video Using Deep Learning
the 15th International Conference on Machine Learning and Data Mining, July (3rd Quarter/Summer) 2019
A two-tier edge computing based model for advanced traffic detection
2018
A Two-Tier Edge Computing Based Model for Advanced Traffic Detection
2018
A two-tier edge computing based model for advanced traffic detection
2018
A Two-Tier Edge Computing Based Model for Advanced Traffic Detection
2018
A two-tier edge computing based model for advanced traffic detection
October (4th Quarter/Autumn) 2018
A New Foreground Segmentation Method for Video Analysis in Different Color Spaces
the 24th International Conference on Pattern Recognition, August 20-24, 2018, , August 2018
A New Global Foreground Modeling and Local Background Modeling Method for Video Analysis
the 14th International Conference on Machine Learning and Data Mining, July 14-19, 2018, , July (3rd Quarter/Summer) 2018
Generative and Discriminative Sparse Coding for Image Classification Applications
the IEEE Winter Conference on Applications of Computer Vision, March 12-14, 2018, , March 2018
Multiple Anthropological Fisher Kernel Framework And its Application to Kinship Verification
the IEEE Winter Conference on Applications of Computer Vision, March 12-14, 2018, , March 2018
Sparse Representation Based Complete Kernel Marginal Fisher Analysis Framework for Computational Art Painting Categorization
the 14th European Conference on Computer Vision, ECCV 2016, October (4th Quarter/Autumn) 2016
SIFT Flow Based Genetic Fisher Vector Feature for Kinship Verification
the 23rd IEEE International Conference on Image Processing, September 2016
A Novel Inheritable Color Space with Application to Kinship Verification
the IEEE Winter Conference on Applications of Computer Vision, March 2016
Color Multi-Fusion Fisher Vector Feature for Fine Art Painting Categorization and Influence Analysis
the IEEE Winter Conference on Applications of Computer Vision, March 2016
Improving the Soft-Assignment Coding While Keeping its Efficiency
the IEEE International Conference on Image Processing, September 2015
Learning the Discriminative Dictionary for Sparse Representation by a General Fisher Regularized Model
the IEEE International Conference on Image Processing, September 2015
Inheritable Fisher Vector Feature for Kinship Verification
the IEEE Seventh International Conference on Biometrics: Theory, Applications and Systems, September 2015
A Novel Locally Linear KNN Model for Visual Recognition
the IEEE Computer Society Conference on Computer Vision and Pattern Recognition, June 2015
A Novel Hierarchical Interaction Model and HITS Map for Action Recognition in Static Images
IEEE International Conference on Systems, Man, and Cybernetics, October (4th Quarter/Autumn) 2014
A New Locally Linear KNN Method with an Improved Marginal Fisher Analysis for Image Classification
International Joint Conference on Biometrics, September 2014
HaarHOG: Improving the HOG Descriptor for Image Classification
IEEE International Conference on Systems, Man, and Cybernetics, October (4th Quarter/Autumn) 2013
A New Bag of Words LBP (BoWL) Descriptor for Scene Image Classification
15th international conference on Computer Analysis of Images and Patterns, August 2013
Novel Color Gabor-LBP-PHOG (GLP) Descriptors for Object and Scene Image Classification
The Eighth Indian Conference on Vision, Graphics and Image Processing, December 2012
Gabor-Based Novel Local, Shape and Color Features for Image Classification
the 19th International Conference on Neural Information Processing, November 2012
Novel Gabor-PHOG Features for Object and Scene Image Classification
Structural, Syntactic, and Statistical Pattern Recognition, Lecture Notes in Computer Science, November 2012
Novel Color HWML Descriptors for Scene and Object Image Classification
the 3rd International Conference on Image Processing Theory, Tools & Applications, October (4th Quarter/Autumn) 2012
Scene Image Classification: Some Novel Descriptors
IEEE International Conference on Systems, Man, and Cybernetics, October (4th Quarter/Autumn) 2012
Novel Color, Shape and Texture-based Scene Image Descriptors
IEEE International Conference on Intelligent Computer Communication and Processing, September 2012
A New Feature Local Binary Patterns (FLBP) Method
16th International Conference on Image Processing, Computer Vision, and Pattern Recognition, July (3rd Quarter/Summer) 2012
Gabor-Based Novel Color Descriptors for Object and Scene Image Classification
16th International Conference on Image Processing, Computer Vision, and Pattern Recognition, July (3rd Quarter/Summer) 2012
Local Quaternary Patterns and Feature Local Quaternary Patterns
16th International Conference on Image Processing, Computer Vision, and Pattern Recognition, July (3rd Quarter/Summer) 2012
Object and Scene Image Classification Using Unconventional Color Descriptors
16th International Conference on Image Processing, Computer Vision, and Pattern Recognition, July (3rd Quarter/Summer) 2012
Fast Eye Detection Using Different Color Spaces
IEEE International Conference on Systems, Man, and Cybernetics, October (4th Quarter/Autumn) 2011
Precise Eye Detection Using Discriminating HOG Features
14th International Conference on Computer Analysis of Images and Patterns, August 2011
A New Efficient SVM and Its Application to A Real-time Accurate Eye Localization System
International Joint Conference on Neural Networks (IJCNN), July (3rd Quarter/Summer) 2011
Discriminant Analysis of Haar Features for Accurate Eye Detection
15th International Conference on Image Processing, Computer Vision, and Pattern Recognition, July (3rd Quarter/Summer) 2011
Novel Color LBP Descriptors for Scene and Image Texture Classification
15th International Conference on Image Processing, Computer Vision, and Pattern Recognition, July (3rd Quarter/Summer) 2011
Fusion of Color SIFT Features for Image Classification with Applications to Biometrics
The Eleventh IAPR International Conference on Pattern Recognition and Information Processing, May 2011
Novel EFM-KNN Classifier and a New Color Descriptor for Image Classification
IEEE Wireless and Optical Communications Conference, April (2nd Quarter/Spring) 2011
A New Color SIFT Descriptor and Methods for Image Category Classification
the 2010 International Congress on Computer Applications and Computational Science, December 2010
Eye Detection Using Color Information and a New Efficient SVM
Fourth IEEE International Conference on Biometrics Theory, Applications and Systems, September 2010
Learning-based Image Representation and Method for Face Recognition
IEEE Third International Conference on Biometrics: Theory, Applications and Systems, September 2009
Robust Face Recognition Using Color Information
The 3rd IAPR/IEEE International Conference on Biometrics,, June 2009
A Discriminant Color Space Method for Face Representation and Verification on a Large-scale Database
the 19th International Conference on Pattern Recognition, December 2008
Fusing Frequency, Spatial and Color Features for Face Recognition
IEEE Second International Conference on Biometrics: Theory, Applications and Systems, Sept 29 - Oct 1, 2008, Arlington, Virginia, USA., October (4th Quarter/Autumn) 2008
IEEE, the 2022 IEEE International Conference on Imaging Systems and Techniques, IST 2022, June 21-23, 2022, Virtual., June 2022
Real-Time Hysteresis Foreground Detection in Video Captured by Moving Cameras
IEEE, the 2022 IEEE International Conference on Imaging Systems and Techniques, IST 2022, June 21-23, 2022, Virtual., June 2022
Unsupervised Anomaly Detection in Traffic Surveillance Based on Global Foreground Modeling
IEEE, the 2022 IEEE International Conference on Imaging Systems and Techniques, IST 2022, June 21-23, 2022, Virtual., June 2022
A New Online Approach for Moving Cast Shadow Suppression in Traffic Videos
IEEE, the 24th IEEE International Conference on Intelligent Transportation Systems, ITSC 2021, September 19-22, 2021, Indianapolis, IN, United States., September 2021
An Innovative Video Quality Assessment Method and An Impairment Video Dataset
IEEE, 2021 IEEE International Conference on Imaging Systems and Techniques, IST 2021, August 24-26, 2021, New York, USA., August 2021
Anomalous Driving Detection for Traffic Surveillance Video Analysis
IEEE, 2021 IEEE International Conference on Imaging Systems and Techniques, IST 2021, August 24-26, 2021, New York, USA., August 2021
Automatic Road Detection in Traffic Videos
IEEE, 10th IEEE International Conference on Big Data and Cloud Computing, December 17-19, 2020., December 2020
A New Adaptive Bidirectional Region-of-Interest Detection Method for Intelligent Traffic Video Analysis
IEEE, the 3rd IEEE International Conference on Artificial Intelligence and Knowledge Engineering, December 9-11, 2020., December 2020
A Statistical Modeling Method for Road Recognition in Traffic Video Analytics
11th IEEE International Conference on Cognitive Infocommunications, Sep 23-25, 2020., September 2020
Robust Road Region Extraction in Video Under Various Illumination and Weather Conditions
IEEE, Fourth IEEE International Conference on Image Processing, Applications and Systems, 9-11 December 2020, Genova, Italy, September 2020
A Real Time Accident Detection Framework for Traffic Video Analysis
16th International Conference on Machine Learning and Data Mining, July (3rd Quarter/Summer) 2020
A Real Time Accident Detection Framework for Traffic Video Analysis
the 16th International Conference on Machine Learning and Data Mining, July 18-23, 2020., July (3rd Quarter/Summer) 2020
Moving Cast Shadow Detection in Video Based on New Chromatic Criteria and Statistical Modeling
18th IEEE International Conference on Machine Learning and Applications (ICMLA 2019), December 2019
An Unsupervised Statistical Moving Shadow Detection Method for Video Analysis
the 15th International Conference on Machine Learning and Data Mining, July (3rd Quarter/Summer) 2019
Vehicle Classication in Video Using Deep Learning
the 15th International Conference on Machine Learning and Data Mining, July (3rd Quarter/Summer) 2019
A two-tier edge computing based model for advanced traffic detection
2018
A Two-Tier Edge Computing Based Model for Advanced Traffic Detection
2018
A two-tier edge computing based model for advanced traffic detection
2018
A Two-Tier Edge Computing Based Model for Advanced Traffic Detection
2018
A two-tier edge computing based model for advanced traffic detection
October (4th Quarter/Autumn) 2018
A New Foreground Segmentation Method for Video Analysis in Different Color Spaces
the 24th International Conference on Pattern Recognition, August 20-24, 2018, , August 2018
A New Global Foreground Modeling and Local Background Modeling Method for Video Analysis
the 14th International Conference on Machine Learning and Data Mining, July 14-19, 2018, , July (3rd Quarter/Summer) 2018
Generative and Discriminative Sparse Coding for Image Classification Applications
the IEEE Winter Conference on Applications of Computer Vision, March 12-14, 2018, , March 2018
Multiple Anthropological Fisher Kernel Framework And its Application to Kinship Verification
the IEEE Winter Conference on Applications of Computer Vision, March 12-14, 2018, , March 2018
Sparse Representation Based Complete Kernel Marginal Fisher Analysis Framework for Computational Art Painting Categorization
the 14th European Conference on Computer Vision, ECCV 2016, October (4th Quarter/Autumn) 2016
SIFT Flow Based Genetic Fisher Vector Feature for Kinship Verification
the 23rd IEEE International Conference on Image Processing, September 2016
A Novel Inheritable Color Space with Application to Kinship Verification
the IEEE Winter Conference on Applications of Computer Vision, March 2016
Color Multi-Fusion Fisher Vector Feature for Fine Art Painting Categorization and Influence Analysis
the IEEE Winter Conference on Applications of Computer Vision, March 2016
Improving the Soft-Assignment Coding While Keeping its Efficiency
the IEEE International Conference on Image Processing, September 2015
Learning the Discriminative Dictionary for Sparse Representation by a General Fisher Regularized Model
the IEEE International Conference on Image Processing, September 2015
Inheritable Fisher Vector Feature for Kinship Verification
the IEEE Seventh International Conference on Biometrics: Theory, Applications and Systems, September 2015
A Novel Locally Linear KNN Model for Visual Recognition
the IEEE Computer Society Conference on Computer Vision and Pattern Recognition, June 2015
A Novel Hierarchical Interaction Model and HITS Map for Action Recognition in Static Images
IEEE International Conference on Systems, Man, and Cybernetics, October (4th Quarter/Autumn) 2014
A New Locally Linear KNN Method with an Improved Marginal Fisher Analysis for Image Classification
International Joint Conference on Biometrics, September 2014
HaarHOG: Improving the HOG Descriptor for Image Classification
IEEE International Conference on Systems, Man, and Cybernetics, October (4th Quarter/Autumn) 2013
A New Bag of Words LBP (BoWL) Descriptor for Scene Image Classification
15th international conference on Computer Analysis of Images and Patterns, August 2013
Novel Color Gabor-LBP-PHOG (GLP) Descriptors for Object and Scene Image Classification
The Eighth Indian Conference on Vision, Graphics and Image Processing, December 2012
Gabor-Based Novel Local, Shape and Color Features for Image Classification
the 19th International Conference on Neural Information Processing, November 2012
Novel Gabor-PHOG Features for Object and Scene Image Classification
Structural, Syntactic, and Statistical Pattern Recognition, Lecture Notes in Computer Science, November 2012
Novel Color HWML Descriptors for Scene and Object Image Classification
the 3rd International Conference on Image Processing Theory, Tools & Applications, October (4th Quarter/Autumn) 2012
Scene Image Classification: Some Novel Descriptors
IEEE International Conference on Systems, Man, and Cybernetics, October (4th Quarter/Autumn) 2012
Novel Color, Shape and Texture-based Scene Image Descriptors
IEEE International Conference on Intelligent Computer Communication and Processing, September 2012
A New Feature Local Binary Patterns (FLBP) Method
16th International Conference on Image Processing, Computer Vision, and Pattern Recognition, July (3rd Quarter/Summer) 2012
Gabor-Based Novel Color Descriptors for Object and Scene Image Classification
16th International Conference on Image Processing, Computer Vision, and Pattern Recognition, July (3rd Quarter/Summer) 2012
Local Quaternary Patterns and Feature Local Quaternary Patterns
16th International Conference on Image Processing, Computer Vision, and Pattern Recognition, July (3rd Quarter/Summer) 2012
Object and Scene Image Classification Using Unconventional Color Descriptors
16th International Conference on Image Processing, Computer Vision, and Pattern Recognition, July (3rd Quarter/Summer) 2012
Fast Eye Detection Using Different Color Spaces
IEEE International Conference on Systems, Man, and Cybernetics, October (4th Quarter/Autumn) 2011
Precise Eye Detection Using Discriminating HOG Features
14th International Conference on Computer Analysis of Images and Patterns, August 2011
A New Efficient SVM and Its Application to A Real-time Accurate Eye Localization System
International Joint Conference on Neural Networks (IJCNN), July (3rd Quarter/Summer) 2011
Discriminant Analysis of Haar Features for Accurate Eye Detection
15th International Conference on Image Processing, Computer Vision, and Pattern Recognition, July (3rd Quarter/Summer) 2011
Novel Color LBP Descriptors for Scene and Image Texture Classification
15th International Conference on Image Processing, Computer Vision, and Pattern Recognition, July (3rd Quarter/Summer) 2011
Fusion of Color SIFT Features for Image Classification with Applications to Biometrics
The Eleventh IAPR International Conference on Pattern Recognition and Information Processing, May 2011
Novel EFM-KNN Classifier and a New Color Descriptor for Image Classification
IEEE Wireless and Optical Communications Conference, April (2nd Quarter/Spring) 2011
A New Color SIFT Descriptor and Methods for Image Category Classification
the 2010 International Congress on Computer Applications and Computational Science, December 2010
Eye Detection Using Color Information and a New Efficient SVM
Fourth IEEE International Conference on Biometrics Theory, Applications and Systems, September 2010
Learning-based Image Representation and Method for Face Recognition
IEEE Third International Conference on Biometrics: Theory, Applications and Systems, September 2009
Robust Face Recognition Using Color Information
The 3rd IAPR/IEEE International Conference on Biometrics,, June 2009
A Discriminant Color Space Method for Face Representation and Verification on a Large-scale Database
the 19th International Conference on Pattern Recognition, December 2008
Fusing Frequency, Spatial and Color Features for Face Recognition
IEEE Second International Conference on Biometrics: Theory, Applications and Systems, Sept 29 - Oct 1, 2008, Arlington, Virginia, USA., October (4th Quarter/Autumn) 2008
COLLAPSE
Journal Article
Ghahremannezhad, Hadi, & Shi, Hang, & Liu, Chengjun (2023). Object Detection in Traffic Videos: A Survey. IEEE Transactions on Intelligent Transportation Systems, 24(7), 6780-6799.
Liu, Guanxiong, & Shi, Hang, & Kiani, Abbas, & Khreishah, Abdallah, & Lee, Joyoung, & Ansari, Nirwan, & Liu, Chengjun, & Yousef, Mustafa Mohammad (2022). Smart Traffic Monitoring System Using Computer Vision and Edge Computing. IEEE Transactions on Intelligent Transportation Systems, 23(8), 12027-12038.
Liu, Guanxiong, & Shi, Hang, & Kiani, Abbas, & Khreishah, Abdallah, & Lee, Joyoung, & Ansari, Nirwan, & Liu, Chengjun, & Yousef, Mustafa Mohammad (2021). Smart Traffic Monitoring System using Computer Vision and Edge Computing. IEEE Transactions on Intelligent Transportation Systems,
Liu, Guanxiong, & Shi, Hang, & Kiani, Abbas, & Khreishah, Abdallah, & Lee, Joyoung, & Ansari, Nirwan, & Liu, Chengjun, & Yousef, Mustafa Mohammad (2021). Smart traffic monitoring system using computer vision and edge computing. IEEE Transactions on Intelligent Transportation Systems, 23(8), 12027--12038.
Liu, Guanxiong, & Shi, Hang, & Kiani, Abbas, & Khreishah, Abdallah, & Lee, Joyoung, & Ansari, Nirwan, & Liu, Chengjun, & Yousef, Mustafa Mohammad (2021). Smart Traffic Monitoring System Using Computer Vision and Edge Computing. IEEE Transactions on Intelligent Transportation Systems,
Liu, Guanxiong, & Shi, Hang, & Kiani, Abbas, & Khreishah, Abdallah, & Lee, Joyoung, & Ansari, Nirwan, & Liu, Chengjun, & Yousef, Mustafa Mohammad (2022). Smart Traffic Monitoring System Using Computer Vision and Edge Computing. IEEE Transactions on Intelligent Transportation Systems, 23(8), 12027-12038.
Liu, Guanxiong, & Shi, Hang, & Kiani, Abbas, & Khreishah, Abdallah, & Lee, Joyoung, & Ansari, Nirwan, & Liu, Chengjun, & Yousef, Mustafa Mohammad (2021). Smart Traffic Monitoring System using Computer Vision and Edge Computing. IEEE Transactions on Intelligent Transportation Systems,
Liu, Guanxiong, & Shi, Hang, & Kiani, Abbas, & Khreishah, Abdallah, & Lee, Joyoung, & Ansari, Nirwan, & Liu, Chengjun, & Yousef, Mustafa Mohammad (2021). Smart traffic monitoring system using computer vision and edge computing. IEEE Transactions on Intelligent Transportation Systems, 23(8), 12027--12038.
Liu, Guanxiong, & Shi, Hang, & Kiani, Abbas, & Khreishah, Abdallah, & Lee, Joyoung, & Ansari, Nirwan, & Liu, Chengjun, & Yousef, Mustafa Mohammad (2021). Smart Traffic Monitoring System Using Computer Vision and Edge Computing. IEEE Transactions on Intelligent Transportation Systems,
SHOW MORE
Shi, Hang, & Liu, Chengjun (2020). A New Cast Shadow Detection Method for Traffic Surveillance Video Analysis Using Color and Statistical Modeling. Image and Vision Computing, 94, 103863, 2020. Elsevier.,
Liu, Q., & Liu, Chengjun (2017). A Novel Locally Linear KNN Method with Application to Visual Recognition. IEEE Transactions on Neural Networks and Learning Systems, 28(9), 2010-2021.
Puthenputhussery, Ajit, & Liu, Qingfeng, & Liu, Chengjun (2017). A Sparse Representation Model Using the Complete Marginal Fisher Analysis Framework And Its Applications to Visual Recognition. IEEE Transactions on Multimedia, 19(8), 1757-1770.
Chen, Shuo, & Liu, Chengjun (2015). Eye detection using discriminatory Haar features and a new efficient SVM. Image and Vision Computing, 33, 68-77.
Chen, S., & Liu, Chengjun (2014). Clustering-based Discriminant Analysis for Eye Detection. IEEE Transactions on Image Processing, 23(4), 1629-1638.
Sinha, Atreyee, & Banerji, Sugata, & Liu, Chengjun (2014). New Color GPHOG Descriptors for Object and Scene Image Classification. Machine Vision and Applications, 25(2), 361-375.
Liu, Chengjun (2014). Discriminant Analysis and Similarity Measure. Pattern Recognition, 47(1), 359-367.
Banerji, Sugata, & Sinha, Atreyee, & Liu, Chengjun (2013). New Image Descriptors based on Color, Texture, Shape, and Wavelets for Object and Scene Image Classification. Neurocomputing, 117, 173-185.
Gu, Jiayu, & Liu, Chengjun (2013). Feature Local Binary Patterns with Application to Eye Detection. Neurocomputing, 113, 138-152.
Liu, Chengjun (2013). Effective Use of Color Information for Large Scale Face Verification. Neurocomputing, 101, 43-51.
Verma, A., & Liu, Chengjun, & Jia, J. (2012). Iris Recognition Based on Robust Iris Segmentation and Image Enhancement. International Journal of Biometrics, 4(1), 56-76.
Liu, Chengjun (2011). Extracting Discriminatory Color Features for Face Recognition. Pattern Recognition Letters, 32(14), 1796-1804.
Shih, P., & Liu, Chengjun (2011). An Effective Color Feature Extraction Method Using Evolutionary Computation for Face Recognition. International Journal of Biometrics, 3(3), 206-227.
Verma, A., & Liu, Chengjun, & Jia, J. (2011). New Color SIFT Descriptors for Image Classification with Applications to Biometrics. International Journal of Biometrics, 3(1), 56-75.
Liu, Z., & Yang, J., & Liu, Chengjun (2010). Extracting Multiple Features in the CID Color Space for Face Recognition. IEEE Transactions on Image Processing, 19(9), 2502–2509.
Liu, Z., & Liu, Chengjun (2010). Fusion of Color, Local Spatial and Global Frequency Information for Face Recognition. Pattern Recognition, 43(8), 2882-2890.
Yang, J., & Liu, Chengjun, & Yang, J.Y. (2010). What Kind of Color Spaces Is Suitable for Color Face Recognition?. Neurocomputing, 73, 2140-2146.
Yang, J., & Liu, Chengjun, & Zhang, L. (2010). Color Space Normalization: Enhancing the Discriminating Power of Color Spaces for Face Recognition. Pattern Recognition, 43(4), 1454-1466.
Yang, J., & Liu, Chengjun (2008). Color Image Discriminant Models and Algorithms for Face Recognition. IEEE Transactions on Neural Networks, 19(12), 2088–2098.
Liu, Z., & Liu, Chengjun (2008). A Hybrid Color and Frequency Features Method for Face Recognition. IEEE Transactions on Image Processing, 17(10), 1975–1980.
Liu, Z., & Liu, Chengjun (2008). Fusion of the Complementary Discrete Cosine Features in the YIQ Color Space for Face Recognition. Computer Vision and Image Understanding, 111(3), 249–262.
Liu, Chengjun (2008). Clarification of Assumptions in the Relationship between the Bayes Decision Rule and the Whitened Cosine Similarity Measure. IEEE Transactions on Pattern Analysis and Machine Intelligence,, 30(6), 1116-1117.
Liu, Chengjun (2008). Learning the Uncorrelated, Independent, and Discriminating Color Spaces for Face Recognition. IEEE Transactions on Information Forensics and Security,, 3(2), 213-222.
Liu, Q., & Liu, Chengjun (2017). A Novel Locally Linear KNN Method with Application to Visual Recognition. IEEE Transactions on Neural Networks and Learning Systems, 28(9), 2010-2021.
Puthenputhussery, Ajit, & Liu, Qingfeng, & Liu, Chengjun (2017). A Sparse Representation Model Using the Complete Marginal Fisher Analysis Framework And Its Applications to Visual Recognition. IEEE Transactions on Multimedia, 19(8), 1757-1770.
Chen, Shuo, & Liu, Chengjun (2015). Eye detection using discriminatory Haar features and a new efficient SVM. Image and Vision Computing, 33, 68-77.
Chen, S., & Liu, Chengjun (2014). Clustering-based Discriminant Analysis for Eye Detection. IEEE Transactions on Image Processing, 23(4), 1629-1638.
Sinha, Atreyee, & Banerji, Sugata, & Liu, Chengjun (2014). New Color GPHOG Descriptors for Object and Scene Image Classification. Machine Vision and Applications, 25(2), 361-375.
Liu, Chengjun (2014). Discriminant Analysis and Similarity Measure. Pattern Recognition, 47(1), 359-367.
Banerji, Sugata, & Sinha, Atreyee, & Liu, Chengjun (2013). New Image Descriptors based on Color, Texture, Shape, and Wavelets for Object and Scene Image Classification. Neurocomputing, 117, 173-185.
Gu, Jiayu, & Liu, Chengjun (2013). Feature Local Binary Patterns with Application to Eye Detection. Neurocomputing, 113, 138-152.
Liu, Chengjun (2013). Effective Use of Color Information for Large Scale Face Verification. Neurocomputing, 101, 43-51.
Verma, A., & Liu, Chengjun, & Jia, J. (2012). Iris Recognition Based on Robust Iris Segmentation and Image Enhancement. International Journal of Biometrics, 4(1), 56-76.
Liu, Chengjun (2011). Extracting Discriminatory Color Features for Face Recognition. Pattern Recognition Letters, 32(14), 1796-1804.
Shih, P., & Liu, Chengjun (2011). An Effective Color Feature Extraction Method Using Evolutionary Computation for Face Recognition. International Journal of Biometrics, 3(3), 206-227.
Verma, A., & Liu, Chengjun, & Jia, J. (2011). New Color SIFT Descriptors for Image Classification with Applications to Biometrics. International Journal of Biometrics, 3(1), 56-75.
Liu, Z., & Yang, J., & Liu, Chengjun (2010). Extracting Multiple Features in the CID Color Space for Face Recognition. IEEE Transactions on Image Processing, 19(9), 2502–2509.
Liu, Z., & Liu, Chengjun (2010). Fusion of Color, Local Spatial and Global Frequency Information for Face Recognition. Pattern Recognition, 43(8), 2882-2890.
Yang, J., & Liu, Chengjun, & Yang, J.Y. (2010). What Kind of Color Spaces Is Suitable for Color Face Recognition?. Neurocomputing, 73, 2140-2146.
Yang, J., & Liu, Chengjun, & Zhang, L. (2010). Color Space Normalization: Enhancing the Discriminating Power of Color Spaces for Face Recognition. Pattern Recognition, 43(4), 1454-1466.
Yang, J., & Liu, Chengjun (2008). Color Image Discriminant Models and Algorithms for Face Recognition. IEEE Transactions on Neural Networks, 19(12), 2088–2098.
Liu, Z., & Liu, Chengjun (2008). A Hybrid Color and Frequency Features Method for Face Recognition. IEEE Transactions on Image Processing, 17(10), 1975–1980.
Liu, Z., & Liu, Chengjun (2008). Fusion of the Complementary Discrete Cosine Features in the YIQ Color Space for Face Recognition. Computer Vision and Image Understanding, 111(3), 249–262.
Liu, Chengjun (2008). Clarification of Assumptions in the Relationship between the Bayes Decision Rule and the Whitened Cosine Similarity Measure. IEEE Transactions on Pattern Analysis and Machine Intelligence,, 30(6), 1116-1117.
Liu, Chengjun (2008). Learning the Uncorrelated, Independent, and Discriminating Color Spaces for Face Recognition. IEEE Transactions on Information Forensics and Security,, 3(2), 213-222.
COLLAPSE
Chapter
Ghahremannezhad, Hadi, & Liu, Chengjun, & Shi, Hang (2023). Intelligent Traffic Video Analytics, E. El-Alfy, G. Bebis, M. Zhou (Eds.), CRC Press. (pp. 44). CRC Press
Chen, S., & Liu, Chengjun (2017). A New Efficient SVM (eSVM) with Applications to Accurate and Efficient Eye Search in Images, C. Liu (Ed.), Springer. (pp. 115-144). Springer
Liu, Q., & Lavinia, Y., & Verma, A., & Lee, J., & Spasovic, L., & Liu, Chengjun (2017). Feature Representation and Extraction for Image Search and Video Retrieval, C. Liu (Ed.), Springer. (pp. 1-19). Springer
Liu, Q., & Liu, Chengjun (2017). Improved Soft Assignment Coding for Image Classification, C. Liu (Ed.), Springer. (pp. 45-63). Springer
Liu, Q., & Liu, Chengjun (2017). Inheritable Color Space (InCS) and Generalized InCS Framework with Applications to Kinship Verification, C. Liu (Ed.), Springer. (pp. 65-89). Springer
Chen, S., & Liu, Chengjun (2017). A New Efficient SVM (eSVM) with Applications to Accurate and Efficient Eye Search in Images, C. Liu (Ed.), Springer. (pp. 115-144). Springer
Liu, Q., & Lavinia, Y., & Verma, A., & Lee, J., & Spasovic, L., & Liu, Chengjun (2017). Feature Representation and Extraction for Image Search and Video Retrieval, C. Liu (Ed.), Springer. (pp. 1-19). Springer
Liu, Q., & Liu, Chengjun (2017). Improved Soft Assignment Coding for Image Classification, C. Liu (Ed.), Springer. (pp. 45-63). Springer
Liu, Q., & Liu, Chengjun (2017). Inheritable Color Space (InCS) and Generalized InCS Framework with Applications to Kinship Verification, C. Liu (Ed.), Springer. (pp. 65-89). Springer
SHOW MORE
Puthenputhussery, A., & Chen, S., & Lee, J., & Spasovic, L., & Liu, Chengjun (2017). Learning and Recognition Methods for Image Search and Video Retrieval, C. Liu (Ed.), Springer. (pp. 21-43). Springer
Puthenputhussery, A., & Liu, Chengjun (2017). Novel Sparse Kernel Manifold Learner for Image Classification Applications, C. Liu (Ed.), Springer. (pp. 91-114). Springer
Verma, A., & Liu, Chengjun (2017). SIFT Features in Multiple Color Spaces for Improved Image Classification, C. Liu (Ed.), Springer. (pp. 145-166). Springer
Liu, Qingfeng, & Lavinia, Yukhe , & Verma, Abhishek , & Lee, Joyoung, & Spasovic, Lazar, & Liu, Chengjun (2017). Feature Representation and Extraction for Image Search and Video Retrieval, Springer. Springer
Puthenputhussery, Ajit, & Chen, Shuo, & Lee, Joyoung, & Spasovic, Lazar, & Liu, Chengjun (2017). Learning and Recognition Methods for Image Search and Video Retrieval, Springer. Springer
Gu, J., & Liu, Chengjun (2012). Local Texture Descriptors for Biometric Detection: New Local Quaternary Pattern Descriptors and Case Study on Eye Detection, K. Saeed and T. Nagashima (Eds.), Biometrics and Kansei Engineering. (pp. 129-151). Springer: Biometrics and Kansei Engineering
Gu, J., & Liu, Chengjun (2012). Feature Local Binary Patterns, C. Liu and V. Mago (Eds.), Cross Disciplinary Biometric Systems. (pp. 1-13). Springer: Cross Disciplinary Biometric Systems
Liu, Z., & Liu, Chengjun (2012). Frequency and Color Fusion for Face Verification, C. Liu and V. Mago (Eds.), Cross Disciplinary Biometric Systems. (pp. 53-71). Springer: Cross Disciplinary Biometric Systems
Liu, Z., & Liu, Chengjun (2012). Gabor-DCT Features with Application to Face Recognition, C. Liu and V. Mago (Eds.), Cross Disciplinary Biometric Systems. (pp. 35-51). Springer: Cross Disciplinary Biometric Systems
Banerji, S., & Verma, A., & Liu, Chengjun (2012). LBP and Color Descriptors for Image Classification, C. Liu and V. Mago (Eds.), Cross Disciplinary Biometric Systems. (pp. 205-225). Springer: Cross Disciplinary Biometric Systems
Liu, Chengjun (2012). Mixture of Classifiers for Face Recognition Across Pose, C. Liu and V. Mago (Eds.), Cross Disciplinary Biometric Systems. (pp. 73-92). Springer: Cross Disciplinary Biometric Systems
Liu, Chengjun (2012). New Color Features for Pattern Recognition, C. Liu and V. Mago (Eds.), Cross Disciplinary Biometric Systems. (pp. 15-34). Springer: Cross Disciplinary Biometric Systems
Chen, Shuo, & Liu, Chengjun (2012). Various Discriminatory Features for Eye Detection, C. Liu and V. Mago (Eds.), Cross Disciplinary Biometric Systems. (pp. 183-203). Springer: Cross Disciplinary Biometric Systems
Shih, P., & Liu, Chengjun (2012). Wavelet Features for 3D Face Recognition, C. Liu and V. Mago (Eds.), Cross Disciplinary Biometric Systems. (pp. 93-116). Springer: Cross Disciplinary Biometric Systems
Liu, Chengjun, & Mago, V. (2012). Cross Disciplinary Biometric Systems, Springer. New York: Springer
Verma, A., & Liu, Chengjun (2012). Efficient Iris Identification with Improved Segmentation Techniques, V.K. Mago and N. Bhatia (Eds.), Cross-Disciplinary Applications of Artificial Intelligence and Pattern Recognition: Advancing Technologies. IGI Global: Cross-Disciplinary Applications of Artificial Intelligence and Pattern Recognition: Advancing Technologies
Chen, Shuo, & Liu, Chengjun (2012). Eye Detection Using Color, Haar Features, and Efficient Support Vector Machine, V.K. Mago and N. Bhatia (Eds.), Cross-Disciplinary Applications of Artificial Intelligence and Pattern Recognition: Advancing Technologies. IGI Global: Cross-Disciplinary Applications of Artificial Intelligence and Pattern Recognition: Advancing Technologies
Jian, Y., & Liu, Chengjun (2011). Generating-Kernel Based Nonlinear Feature Extraction Methods, M.D. Fournier (Ed.), Nova Science Publishers: Perspectives on Pattern Recognition. New York, New York: Nova Science Publishers: Perspectives on Pattern Recognition
Yang, J., & Liu, Chengjun, & Yang, J. (2010). Improving the Performance of Color Spaces for Face Recognition by Color Space Normalization and Rotation, H. Schuster and W. Metzger (Eds.), Nova Science Publishers: Biometrics: Methods, Applications and Analyses. (pp. 109-129). New York, New York: Nova Science Publishers: Biometrics: Methods, Applications and Analyses
Yang, J., & Liu, Chengjun, & Yang, J. (2008). Discriminating Color Faces For Recognition, K. Delac, M. Grgic and M.S. Bartlett (Eds.), Recent Advances in Face Recognition. (pp. 207-222). Vienna/I-Tech Education and Publishing: Recent Advances in Face Recognition
Puthenputhussery, A., & Liu, Chengjun (2017). Novel Sparse Kernel Manifold Learner for Image Classification Applications, C. Liu (Ed.), Springer. (pp. 91-114). Springer
Verma, A., & Liu, Chengjun (2017). SIFT Features in Multiple Color Spaces for Improved Image Classification, C. Liu (Ed.), Springer. (pp. 145-166). Springer
Liu, Qingfeng, & Lavinia, Yukhe , & Verma, Abhishek , & Lee, Joyoung, & Spasovic, Lazar, & Liu, Chengjun (2017). Feature Representation and Extraction for Image Search and Video Retrieval, Springer. Springer
Puthenputhussery, Ajit, & Chen, Shuo, & Lee, Joyoung, & Spasovic, Lazar, & Liu, Chengjun (2017). Learning and Recognition Methods for Image Search and Video Retrieval, Springer. Springer
Gu, J., & Liu, Chengjun (2012). Local Texture Descriptors for Biometric Detection: New Local Quaternary Pattern Descriptors and Case Study on Eye Detection, K. Saeed and T. Nagashima (Eds.), Biometrics and Kansei Engineering. (pp. 129-151). Springer: Biometrics and Kansei Engineering
Gu, J., & Liu, Chengjun (2012). Feature Local Binary Patterns, C. Liu and V. Mago (Eds.), Cross Disciplinary Biometric Systems. (pp. 1-13). Springer: Cross Disciplinary Biometric Systems
Liu, Z., & Liu, Chengjun (2012). Frequency and Color Fusion for Face Verification, C. Liu and V. Mago (Eds.), Cross Disciplinary Biometric Systems. (pp. 53-71). Springer: Cross Disciplinary Biometric Systems
Liu, Z., & Liu, Chengjun (2012). Gabor-DCT Features with Application to Face Recognition, C. Liu and V. Mago (Eds.), Cross Disciplinary Biometric Systems. (pp. 35-51). Springer: Cross Disciplinary Biometric Systems
Banerji, S., & Verma, A., & Liu, Chengjun (2012). LBP and Color Descriptors for Image Classification, C. Liu and V. Mago (Eds.), Cross Disciplinary Biometric Systems. (pp. 205-225). Springer: Cross Disciplinary Biometric Systems
Liu, Chengjun (2012). Mixture of Classifiers for Face Recognition Across Pose, C. Liu and V. Mago (Eds.), Cross Disciplinary Biometric Systems. (pp. 73-92). Springer: Cross Disciplinary Biometric Systems
Liu, Chengjun (2012). New Color Features for Pattern Recognition, C. Liu and V. Mago (Eds.), Cross Disciplinary Biometric Systems. (pp. 15-34). Springer: Cross Disciplinary Biometric Systems
Chen, Shuo, & Liu, Chengjun (2012). Various Discriminatory Features for Eye Detection, C. Liu and V. Mago (Eds.), Cross Disciplinary Biometric Systems. (pp. 183-203). Springer: Cross Disciplinary Biometric Systems
Shih, P., & Liu, Chengjun (2012). Wavelet Features for 3D Face Recognition, C. Liu and V. Mago (Eds.), Cross Disciplinary Biometric Systems. (pp. 93-116). Springer: Cross Disciplinary Biometric Systems
Liu, Chengjun, & Mago, V. (2012). Cross Disciplinary Biometric Systems, Springer. New York: Springer
Verma, A., & Liu, Chengjun (2012). Efficient Iris Identification with Improved Segmentation Techniques, V.K. Mago and N. Bhatia (Eds.), Cross-Disciplinary Applications of Artificial Intelligence and Pattern Recognition: Advancing Technologies. IGI Global: Cross-Disciplinary Applications of Artificial Intelligence and Pattern Recognition: Advancing Technologies
Chen, Shuo, & Liu, Chengjun (2012). Eye Detection Using Color, Haar Features, and Efficient Support Vector Machine, V.K. Mago and N. Bhatia (Eds.), Cross-Disciplinary Applications of Artificial Intelligence and Pattern Recognition: Advancing Technologies. IGI Global: Cross-Disciplinary Applications of Artificial Intelligence and Pattern Recognition: Advancing Technologies
Jian, Y., & Liu, Chengjun (2011). Generating-Kernel Based Nonlinear Feature Extraction Methods, M.D. Fournier (Ed.), Nova Science Publishers: Perspectives on Pattern Recognition. New York, New York: Nova Science Publishers: Perspectives on Pattern Recognition
Yang, J., & Liu, Chengjun, & Yang, J. (2010). Improving the Performance of Color Spaces for Face Recognition by Color Space Normalization and Rotation, H. Schuster and W. Metzger (Eds.), Nova Science Publishers: Biometrics: Methods, Applications and Analyses. (pp. 109-129). New York, New York: Nova Science Publishers: Biometrics: Methods, Applications and Analyses
Yang, J., & Liu, Chengjun, & Yang, J. (2008). Discriminating Color Faces For Recognition, K. Delac, M. Grgic and M.S. Bartlett (Eds.), Recent Advances in Face Recognition. (pp. 207-222). Vienna/I-Tech Education and Publishing: Recent Advances in Face Recognition
COLLAPSE
Book
Liu, Chengjun (2017). Recent Advances in Intelligent Image Search and Video Retrieval. Springer