Application of MHT to group-to-object tracking

Michael A. Kovacich; Tom Casaletto; William E. Lutjens; David D. McIntyre; Ralph Ansell; Ed VanDyk

doi:10.1117/12.45669

1 August 1991 Application of MHT to group-to-object tracking

Michael A. Kovacich, Tom Casaletto, William E. Lutjens, David D. McIntyre, Ralph Ansell, Ed VanDyk

Proceedings Volume 1481, Signal and Data Processing of Small Targets 1991; (1991) https://doi.org/10.1117/12.45669
Event: Orlando '91, 1991, Orlando, FL, United States

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.

Citation Download Citation

Michael A. Kovacich, Tom Casaletto, William E. Lutjens, David D. McIntyre, Ralph Ansell, and Ed VanDyk "Application of MHT to group-to-object tracking", Proc. SPIE 1481, Signal and Data Processing of Small Targets 1991, (1 August 1991); https://doi.org/10.1117/12.45669

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