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22 October 1993 Sequential hypothesis testing approach to combined target detection and tracking
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Abstract
A sequential hypothesis testing approach is proposed for multi-frame detection and tracking of low-observable, maneuvering point-source targets in a digital image sequence. The resultant Multiple Multistage Hypothesis Test Tracking (MMHTT) algorithm extends tracks formed from sequentially-detected target trajectory segments using a multiple hypothesis tracking strategy. Computational efficiency is achieved by using a truncated sequential probability ratio test (SPRT) to prune a dense tree of candidate target trajectories and score the detected trajectory segments. Results of an analytical evaluation of the algorithm's performance are discussed in relation to experimental results from an optical satellite tracking application.
© (1993) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Steven D. Blostein and Haydn S. Richardson "Sequential hypothesis testing approach to combined target detection and tracking", Proc. SPIE 1954, Signal and Data Processing of Small Targets 1993, (22 October 1993); https://doi.org/10.1117/12.157767
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