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

Volume

2

fYear

2002

fDate

6/24/1905 12:00:00 AM

Firstpage

902

Lastpage

907

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;

fLanguage

English

Publisher

ieee

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

Type

conf

DOI

10.1109/FUZZ.2002.1006624

Filename

1006624