Title :
An interacting multi-pattern joint probabilistic data association algorithm
Author :
Hong, Lang ; Cui, Ning Zhou
Author_Institution :
Dept. of Electr. Eng., Wright State Univ., Dayton, OH, USA
Abstract :
A newly developed algorithm for multi-target tracking using multi-pattern data association is presented. Multi-pattern data association is based on a novel approach for tracking multiple targets using multiple patterns extracted from measurement sequences
Keywords :
pattern recognition; probability; target tracking; data association; joint probabilistic data association; multiple-pattern data association; multiple-target tracking; Data mining; Dynamic programming; Feature extraction; Filter bank; Kinematics; Logic programming; Spatial resolution; Target tracking; Trajectory; Uncertainty;
Conference_Titel :
American Control Conference, 2000. Proceedings of the 2000
Conference_Location :
Chicago, IL
Print_ISBN :
0-7803-5519-9
DOI :
10.1109/ACC.2000.877045
