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Proceedings Paper

Multiple target tracking with multiple frame, probabilistic data association
Author(s): Oliver E. Drummond
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Paper Abstract

Probabilistic data association approaches are described for tracking multiple targets. These approaches employ multiple frames of data in the data association processing. These approaches offer improved performance over Joint Probabilistic Data Association tracking. This improved performance is obtained, however, at the expense of increased processing load. In the algorithms are design parameters that can be selected to adjust to suit a specific application. The concept of retrodicted hypothesis probability is introduced. Retrodicted hypothesis probabilities are used in an effort to better approximate optimal tracking. Some of these algorithms are retrospective in that, as each new frame of sensor data becomes available, earlier tracks are modified and these changes impact subsequent tracks.

Paper Details

Date Published: 22 October 1993
PDF: 15 pages
Proc. SPIE 1954, Signal and Data Processing of Small Targets 1993, (22 October 1993); doi: 10.1117/12.157808
Show Author Affiliations
Oliver E. Drummond, Hughes Missile Systems Co. (United States)


Published in SPIE Proceedings Vol. 1954:
Signal and Data Processing of Small Targets 1993
Oliver E. Drummond, Editor(s)

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