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Proceedings Paper

Coordinated objective/subjective estimation approach to multitarget tracking
Author(s): Jason E. Lechak; Richard A. Jones
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Paper Abstract

A novel method for a multitarget detection and measurement system based on the coordination of objective and subjective estimation (COSE) is described. This system is composed of three components in cascade. The first stage implements available objective knowledge, namely target position and velocity, to form a subset of statistically likely target solutions via validation. The second stage of the system utilizes available heuristic (subjective) information, namely return area and brightness, to form a smaller subset of returns. The returns in this subset are similar to the target in terms of area and brightness. If only one return is available in this subset, it is chosen as the true target. If more than one return is available in this similar subset,the third state implements a minimum azimuth angle criterion, in which the return yielding the smallest azimuth angle between itself and the target's predicted position vector is selected as the true target. The causes and effects of clutter returns are described. Simulated target tracks are performed and discussed. Finally, the COSE algorithm is applied to a sequence of forward-looking infrared images provided by Texas Instruments, Inc. The results obtained will be subjectively compared to results of other tracking algorithms.

Paper Details

Date Published: 7 June 1996
PDF: 14 pages
Proc. SPIE 2739, Acquisition, Tracking, and Pointing X, (7 June 1996); doi: 10.1117/12.241924
Show Author Affiliations
Jason E. Lechak, Texas Instruments Inc. (United States)
Richard A. Jones, Univ. of Arkansas (United States)

Published in SPIE Proceedings Vol. 2739:
Acquisition, Tracking, and Pointing X
Michael K. Masten; Larry A. Stockum, Editor(s)

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