ECCV '02 Proceedings of the 7th European Conference on Computer Vision-Part I
On-Line Selection of Discriminative Tracking Features
ICCV '03 Proceedings of the Ninth IEEE International Conference on Computer Vision - Volume 2
Tracking Across Multiple Cameras With Disjoint Views
ICCV '03 Proceedings of the Ninth IEEE International Conference on Computer Vision - Volume 2
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
Privacy in video surveilled spaces
Journal of Computer Security - Privacy, Security and Trust (PST) Technologies: Evolution and Challenges
Multi-object tracking driven event detection for evaluation
AREA '08 Proceedings of the 1st ACM workshop on Analysis and retrieval of events/actions and workflows in video streams
Privacy in video surveilled areas
Proceedings of the 2006 International Conference on Privacy, Security and Trust: Bridge the Gap Between PST Technologies and Business Services
Multi-object tracking evaluated on sparse events
Multimedia Tools and Applications
Tracking of individuals in very long video sequences
ISVC'06 Proceedings of the Second international conference on Advances in Visual Computing - Volume Part I
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We present a monocular object tracker, able to detect and track multiple objects in non-controlled environments. Bayesian per-pixel classification is used to build a tracking framework that segments an image into foreground and background objects, based on observations of object appearances and motions. Gaussian mixtures are used to build the color appearance models. The system adapts to changing lighting conditions, handles occlusions, and works in real-time.