Lecturer Position Detection for Distribution System Using High Resolution Partial Images
PCM '02 Proceedings of the Third IEEE Pacific Rim Conference on Multimedia: Advances in Multimedia Information Processing
Foreground object detection from videos containing complex background
MULTIMEDIA '03 Proceedings of the eleventh ACM international conference on Multimedia
Segmentation and Tracking of Multiple Moving Objects for Intelligent Video Analysis
BT Technology Journal
Traffic object detections and its action analysis
Pattern Recognition Letters
ACM Computing Surveys (CSUR)
Moving object tracking under varying illumination conditions
Pattern Recognition Letters
Anthropocentric video segmentation for lecture webcasts
Journal on Image and Video Processing - Anthropocentric Video Analysis: Tools and Applications
Change detection using a statistical model in an optimally selected color space
Computer Vision and Image Understanding
SIP '07 Proceedings of the Ninth IASTED International Conference on Signal and Image Processing
Patch-based background initialization in heavily cluttered video
IEEE Transactions on Image Processing
IEEE Transactions on Intelligent Transportation Systems
An object-based change detection approach by integrating intensity and texture differences
CAR'10 Proceedings of the 2nd international Asia conference on Informatics in control, automation and robotics - Volume 3
IEEE Transactions on Image Processing
Histogram-based foreground object extraction for indoor and outdoor scenes
Proceedings of the Seventh Indian Conference on Computer Vision, Graphics and Image Processing
An experimental evaluation of foreground detection algorithms in real scenes
EURASIP Journal on Advances in Signal Processing - Special issue on video analysis for human behavior understanding
Robust moving object detection against fast illumination change
Computer Vision and Image Understanding
A kalman filter based background updating algorithm robust to sharp illumination changes
ICIAP'05 Proceedings of the 13th international conference on Image Analysis and Processing
Facial expression recognition using geometric and appearance features
Proceedings of the 4th International Conference on Internet Multimedia Computing and Service
Video synchronization as one-class learning
Proceedings of the 27th Conference on Image and Vision Computing New Zealand
Efficient background subtraction under abrupt illumination variations
ACCV'12 Proceedings of the 11th Asian conference on Computer Vision - Volume Part I
Steering kernel-based video moving objects detection with local background texture dictionaries
Computers and Electrical Engineering
A novel background subtraction method based on color invariants
Computer Vision and Image Understanding
Journal of Real-Time Image Processing
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We propose a novel technique for robust change detection based upon the integration of intensity and texture differences between two frames. A new accurate texture difference measure based on the relations between gradient vectors is proposed. The mathematical analysis shows that the measure is robust with respect to noise and illumination changes. Two ways to integrate the intensity and texture differences have been developed. The first combines the two measures adaptively according to the weightage of texture evidence, while the second does it optimally with additional constraint of smoothness. The parameters of the algorithm are selected automatically based on a statistic analysis. An algorithm is developed for fast implementation. The computational complexity analysis indicates that the proposed technique can run in real-time. The experiment results are evaluated both visually and quantitatively. They show that by exploiting both intensity and texture differences for change detection, one can obtain much better segmentation results than using the intensity or structure difference alone