Performance of optical flow techniques
International Journal of Computer Vision
Robot Vision
Development of a video-rate stereo machine
IROS '95 Proceedings of the International Conference on Intelligent Robots and Systems-Volume 3 - Volume 3
Robust Salient Motion Detection with Complex Background for Real-Time Video Surveillance
WACV-MOTION '05 Proceedings of the IEEE Workshop on Motion and Video Computing (WACV/MOTION'05) - Volume 2 - Volume 02
Fuzzy Sets and Systems
A Contour-Based Moving Object Detection and Tracking
ICCCN '05 Proceedings of the 14th International Conference on Computer Communications and Networks
An iterative image registration technique with an application to stereo vision
IJCAI'81 Proceedings of the 7th international joint conference on Artificial intelligence - Volume 2
Image segmentation in video sequences: a probabilistic approach
UAI'97 Proceedings of the Thirteenth conference on Uncertainty in artificial intelligence
Fast block matching algorithm based on the winner-update strategy
IEEE Transactions on Image Processing
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A region-growing algorithm for detecting moving objects in video sequences based on optical flow is suggested; it calculates the optical flow only for moving objects and does not consider stationary image regions. The algorithm has linear complexity depending on the value of the optical flow window, uses SSE2/SSE3 instructions for significant acceleration of the calculations, and can be used in the real-time mode in problems of detection and tracking of moving objects in video sequences with fragmentary filling of frames with moving objects.