Multimedia surveillance: content-based retrieval with multicamera people tracking
Proceedings of the 4th ACM international workshop on Video surveillance and sensor networks
A system for automatic face obscuration for privacy purposes
Pattern Recognition Letters
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
A system for automatic face obscuration for privacy purposes
Pattern Recognition Letters - Special issue on vision for crime detection and prevention
Pattern Recognition Letters - Special issue on vision for crime detection and prevention
Real-time people localization and tracking through fixed stereo vision
Applied Intelligence
Mobile video surveillance with low-bandwidth low-latency video streaming
Proceedings of the international workshop on Workshop on mobile video
HECOL: Homography and epipolar-based consistent labeling for outdoor park surveillance
Computer Vision and Image Understanding
An Appearance-Based Particle Filter for Visual Tracking in Smart Rooms
Multimodal Technologies for Perception of Humans
VNBA '08 Proceedings of the 1st ACM workshop on Vision networks for behavior analysis
MetroSurv: detecting events in subway stations
Multimedia Tools and Applications
Probabilistic people tracking with appearance models and occlusion classification: The AD-HOC system
Pattern Recognition Letters
An adaptive gradient enhanced texture based tracking algorithm for video monitoring applications
Transactions on edutainment VI
Unsupervised learning in body-area networks
Proceedings of the Fifth International Conference on Body Area Networks
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This work presents a novel people tracking approach, able to cope with frequent shape changes and large occlusions. In particular, the tracks are described by means of probabilistic masks and appearance models. Occlusions due to other tracks or due to background objects and false occlusions are discriminated. The tracking system is general enough to be applied with any motion segmentation module, it can track people interacting each other and it maintains the pixel assignment to track even with large occlusions. At the same time, the update model is very reactive, so as to cope with sudden body motion and silhouette's shape changes. Due to its robustness, it has been used in many experiments of people behavior control in indoor situations.