A survey of advances in vision-based human motion capture and analysis
Computer Vision and Image Understanding - Special issue on modeling people: Vision-based understanding of a person's shape, appearance, movement, and behaviour
Tracking a moving hypothesis for visual data with explicit switch detection
CISDA'09 Proceedings of the Second IEEE international conference on Computational intelligence for security and defense applications
Pedestrian detection using global-local motion patterns
ACCV'07 Proceedings of the 8th Asian conference on Computer vision - Volume Part I
Human detection in indoor environments using multiple visual cues and a mobile robot
CIARP'07 Proceedings of the Congress on pattern recognition 12th Iberoamerican conference on Progress in pattern recognition, image analysis and applications
Human detection using motion and appearance based feature
ICICS'09 Proceedings of the 7th international conference on Information, communications and signal processing
Abstract rendering of human activity in a dynamic distributed learning environment
MM '11 Proceedings of the 19th ACM international conference on Multimedia
Tracking of individuals in very long video sequences
ISVC'06 Proceedings of the Second international conference on Advances in Visual Computing - Volume Part I
On collaborative people detection and tracking in complex scenarios
Image and Vision Computing
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This paper presents a method for detection of humans in video sequences. The intended application of the method is outdoor surveillance. In such an uncontrolled environment, the appearance of humans varies hugely due to clothing, identity, weather and amount and direction of light. The idea is therefore to detect patterns of human motion, which to a large extent is independent of the differences in appearance. To this end, a Support Vector Machine is trained with dense optical flow patterns originating from humans. The subjects are moving in different angles to the camera plane, on different image scales. This trained SVM is the core of a human detection algorithm which searches optical flow images for human-like motion patterns.