Using Adaptive Tracking to Classify and Monitor Activities in a Site
CVPR '98 Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition
Application of the Self-Organizing Map to Trajectory Classification
VS '00 Proceedings of the Third IEEE International Workshop on Visual Surveillance (VS'2000)
Personal authentication using digital retinal images
Pattern Analysis & Applications
Detection of abnormal behaviors using a mixture of Von Mises distributions
AVSS '07 Proceedings of the 2007 IEEE Conference on Advanced Video and Signal Based Surveillance
Algorithm for registration of full Scanning Laser Ophthalmoscope video sequences
Computer Methods and Programs in Biomedicine
Unconstrained multiple-people tracking
DAGM'06 Proceedings of the 28th conference on Pattern Recognition
IEEE Transactions on Image Processing
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Path analysis becomes a powerful tool when dealing with behavior analysis, i. e., detecting abnormal movements. In a multiple target scenario it is complicated to obtain each object path because of collision events, such as grouping and splitting targets, and occlusions, both total or partial. In this work, a method to obtain the similarity between different trajectories is presented, based in register techniques. In addition, an hierarchical architecture is used to obtain the corresponding paths of the objects in a scene, to cope with collision events. Experimental results show promising results in path analysis, enabling it to establish thresholds to abnormal path detection.