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Proceedings Paper

Application of MHT to group-to-object tracking
Author(s): Michael A. Kovacich; Tom Casaletto; William E. Lutjens; David D. McIntyre; Ralph Ansell; Ed VanDyk
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Paper Abstract

This paper analyzes the performance of a version of the multiple hypothesis tracking concept applied to the group-to-object tracking problem for a pair of passive, scanning, space-based sensors. Group-to-object tracking is the process of tracking clusters of unresolved or nearly resolved objects as a group and then when individual objects become clearly resolved, tracking each object separately. An n scan back MHT algorithm, based on the work by Reid, is used to manage the scan-to-scan association process. It uses the A* search algorithm to find the best hypothesis and its statistically equivalent neighbors, based on their likelihood scores. An analysis is made of the performance and cost of the algorithm as a function of key algorithm parameters.

Paper Details

Date Published: 1 August 1991
PDF: 14 pages
Proc. SPIE 1481, Signal and Data Processing of Small Targets 1991, (1 August 1991); doi: 10.1117/12.45669
Show Author Affiliations
Michael A. Kovacich, Lockheed Missiles & Space Co., Inc. (United States)
Tom Casaletto, Lockheed Missiles & Space Co., Inc. (United States)
William E. Lutjens, Lockheed Missiles & Space Co., Inc. (United States)
David D. McIntyre, Lockheed Missiles & Space Co., Inc. (United States)
Ralph Ansell, Lockheed Missiles & Space Co., Inc. (United States)
Ed VanDyk, Lockheed Missiles & Space Co., Inc. (United States)


Published in SPIE Proceedings Vol. 1481:
Signal and Data Processing of Small Targets 1991
Oliver E. Drummond, Editor(s)

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