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Fuzzy data association for image-based tracking in dense scenarios

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5 Author(s)
Garcia, J. ; Univ. Carlos III, Madrid, Spain ; Besada, J.A. ; Molina, J.M. ; Portillo, J.I.
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A new approach for data association problems in video image sequences is presented, which uses JPDA formulation adapted to cope with video data peculiarities. A correlation level is computed to weight each blob contribution to each track, by means of a fuzzy system integrating different heuristics inferred from system performance under real situations. Results obtained in representative ground operations show the system capabilities to solve complex scenarios and improve tracking accuracy

Published in:

Fuzzy Systems, 2002. FUZZ-IEEE'02. Proceedings of the 2002 IEEE International Conference on  (Volume:2 )

Date of Conference:

2002