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Proceedings Paper

Efficient algorithm for computing data association probabilities for multitarget tracking
Author(s): Babak Bakhtiar; Hossein Alavi; Farid Amoozegar
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Paper Abstract

In this paper, an effective method is proposed to compute the data association probabilities in the joint probabilistic data association (JPDA) method. In this method, the a posteriori probability of the origin of each measurement required in JPDA, is computed directly, based on an approximate formula. The Computational and memory requirements of this method decrease greatly compared to the original JPDA. Simulation results show that despite great reduction in computational complexity, the algorithm approximates an exact JPDA more accurately than previously proposed simplifying methods such as SPDA.

Paper Details

Date Published: 24 May 1996
PDF: 11 pages
Proc. SPIE 2756, Automatic Object Recognition VI, (24 May 1996); doi: 10.1117/12.241140
Show Author Affiliations
Babak Bakhtiar, Isfahan Univ. of Technology (Iran)
Hossein Alavi, Isfahan Univ. of Technology (Iran)
Farid Amoozegar, Hughes Aircraft Co. (United States)


Published in SPIE Proceedings Vol. 2756:
Automatic Object Recognition VI
Firooz A. Sadjadi, Editor(s)

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