Morphological multiscale segmentation for image coding
Proceedings of of the IEEE winter workshop on Nonlinear digital signal processing
Hierarchical segmentation of video sequences for content manipulation and adaptive coding
Signal Processing - Video segmentation for content-based processing manipulation
Mosaicing on Adaptive Manifolds
IEEE Transactions on Pattern Analysis and Machine Intelligence
Detection and Tracking of Moving Objects using a New Level Set Based Method
ICPR '00 Proceedings of the International Conference on Pattern Recognition - Volume 3
Multi-object particle filter tracking with automatic event analysis
Proceedings of the first ACM international workshop on Analysis and retrieval of tracked events and motion in imagery streams
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We propose a method for tracking of objects contained in video sequences. Each video object is represented by a set of polygonal regions. A bottom up approach (spatial segmentation/motion estimation) is applied for the initialisation of the method, a limited human interaction is used to build the semantic map of the first frame in video sequence. The tracking of this model along a video sequence is based on detecting and indexing new objects in a video scene. Semantic rules are used to label new objects and, the current state of segmentation is validated by forward projection of the background.