Sequential hypothesis testing approach to combined target detection and tracking
Steven D. Blostein, H.S. Richardson · Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE · 1993
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.