Title :
Fuzzy data association for image-based tracking in dense scenarios
Author :
Garcia, JesÉs ; Besada, Juan A. ; Molina, José M. ; Portillo, Javier I. ; De Miguel, Gonzalo
Author_Institution :
Univ. Carlos III, Madrid, Spain
fDate :
6/24/1905 12:00:00 AM
Abstract :
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
Keywords :
correlation methods; data mining; fuzzy set theory; heuristic programming; image sequences; tracking; video signal processing; JPDA formulation; blob contribution; correlation level; dense scenarios; fuzzy data association; ground operations; heuristics; image-based tracking; video image sequences; Air traffic control; Airports; Automatic control; Cameras; Fuzzy systems; Image sequences; Robustness; Sensor phenomena and characterization; System performance; Target tracking;
Conference_Titel :
Fuzzy Systems, 2002. FUZZ-IEEE'02. Proceedings of the 2002 IEEE International Conference on
Conference_Location :
Honolulu, HI
Print_ISBN :
0-7803-7280-8
DOI :
10.1109/FUZZ.2002.1006624
