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1 August 1991 Application of MHT to group-to-object tracking
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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.
© (1991) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
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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