Title :
Tracking dim moving point target using modified probabilistic data association filter
Author :
Askar, H. ; Chen, Ying ; Li, Aiming
Author_Institution :
Coll. of Commun. & Inf. Eng., Univ. of Electron. Sci. & Technol. of China, Chengdu, China
fDate :
29 June-1 July 2002
Abstract :
For tracking dim moving point target in IR image sequences, a recursive algorithm based on the basic idea of a probabilistic data association method which was used widely in many areas such as a maneuvering target tracking in radar is presented. Some theoretical and experimental results are also given.
Keywords :
Kalman filters; filtering theory; image sequences; infrared imaging; probability; radar imaging; radar tracking; recursive filters; target tracking; tracking filters; IR image sequences; Kalman filter; dim moving point target tracking; maneuvering target tracking; probabilistic data association filter; radar target tracking; recursive algorithm; Coordinate measuring machines; Equations; Filters; Image sequences; Information filtering; Infrared detectors; Radar tracking; Target tracking; Time measurement; Velocity measurement;
Conference_Titel :
Communications, Circuits and Systems and West Sino Expositions, IEEE 2002 International Conference on
Print_ISBN :
0-7803-7547-5
DOI :
10.1109/ICCCAS.2002.1180695
