Pfinder: Real-Time Tracking of the Human Body
IEEE Transactions on Pattern Analysis and Machine Intelligence
Fuzzy Sets and Systems: Theory and Applications
Fuzzy Sets and Systems: Theory and Applications
Compressed Domain Action Classi .cation Using HMM
CBAIVL '01 Proceedings of the IEEE Workshop on Content-based Access of Image and Video Libraries (CBAIVL'01)
Event Detection from MPEG Video in the Compressed Domain
ICPR '00 Proceedings of the International Conference on Pattern Recognition - Volume 1
Video Indexing Using MPEG Motion Compensation Vectors
ICMCS '99 Proceedings of the 1999 IEEE International Conference on Multimedia Computing and Systems - Volume 02
A probabilistic framework for semantic video indexing, filtering,and retrieval
IEEE Transactions on Multimedia
IEEE Transactions on Circuits and Systems for Video Technology
Approximating optical flow within the MPEG-2 compressed domain
IEEE Transactions on Circuits and Systems for Video Technology
Real-time moving object segmentation in H.264 compressed domain based on approximate reasoning
International Journal of Approximate Reasoning
Approximate reasoning and finite state machines to the detection of actions in video sequences
International Journal of Approximate Reasoning
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In this paper we present a system that, directly from compressed video domain, establishes a correspondence between objects in motion in a video scene and a concrete behaviour. This behaviour is expressed by using linguistic variables. Besides, with this fuzzy logic-based approach, the imprecision and vagueness of our primary source of information, MPEG motion vectors, is reduced. Proposed algorithms for segmentation and tracking are based on fuzzification of MPEG motion data. Once the tracking phase has finished, a linguistic model for each objective in the scene is generated and compared with each one of the behaviour models previously described in a linguistic manner. Finally, a practical application of this system for detection, tracking and behaviour analysis of vehicles in complex traffic scenes is presented.