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
Multiview-based cooperative tracking of multiple human objects
Journal on Image and Video Processing - Anthropocentric Video Analysis: Tools and Applications
Continuously tracking objects across multiple widely separated cameras
ACCV'07 Proceedings of the 8th Asian conference on Computer vision - Volume Part I
Vs-star: A visual interpretation system for visual surveillance
Pattern Recognition Letters
Target tracking under occlusion by combining integral-intensity-matching with multi-block-voting
ICIC'05 Proceedings of the 2005 international conference on Advances in Intelligent Computing - Volume Part I
Object tracking across non-overlapping cameras using adaptive models
ACCV'12 Proceedings of the 11th international conference on Computer Vision - Volume 2
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In people tracking, one of the most challenging issues is occlusion handling. To cope with it, we introduce a Bayesian network which involves human 2D ellipse models and an extra hidden process for occlusion relation. The 2D ellipse model combines color and spatial information simultaneously by creating color histograms for serval sub-regions. The extra hidden process for occlusion indicates the depth information of people through occlusions. The tracking process is performed using a Condensation algorithm. Experiments show the effectiveness of the proposed method.