Multiagent systems: a modern approach to distributed artificial intelligence
Multiagent systems: a modern approach to distributed artificial intelligence
SIAM Review
Evaluation of Interest Point Detectors
International Journal of Computer Vision - Special issue on a special section on visual surveillance
Distinctive Image Features from Scale-Invariant Keypoints
International Journal of Computer Vision
An Efficient Dense and Scale-Invariant Spatio-Temporal Interest Point Detector
ECCV '08 Proceedings of the 10th European Conference on Computer Vision: Part II
A region-based active contour method for extraction of breast skin-line in mammograms
ISBI'10 Proceedings of the 2010 IEEE international conference on Biomedical imaging: from nano to Macro
An evaluation of bags-of-words and spatio-temporal shapes for action recognition
WACV '11 Proceedings of the 2011 IEEE Workshop on Applications of Computer Vision (WACV)
Multi-agent system for moving object segmentation and tracking
AVSS '11 Proceedings of the 2011 8th IEEE International Conference on Advanced Video and Signal Based Surveillance
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The problem of segmentation and tracking is of great importance. It is an important task within the field of computer vision. The goal of this paper is to describe a novel video sequences segmentation and tracking system based on MAS "multi-agent systems" when we use spatio-temporal interest points detection on video frames by HOG3D descriptor to initialize agents. The used agents are supervisor and explorator agents, they communicate between them and they inspire in their behavior from Fast Marching Method.