Batch detection association for enhanced target descrimination in dense detection environments

Abstract

The embodiments described herein relate to systems and techniques for processing batch detection information received from one or more sensors configured to observe objects of interest. In particular the systems and techniques are configured to enhance track performance particularly in dense target environments. A substantially large number of batch detections can be processed in a number of phases of varying complexity. An initial phase performs relatively low complexity processing on substantially all detections obtained over an extended batch period, approximating object motion with a simplified model (e.g., linear). The batch detections are divided and redistributed into swaths according to the resulting approximations. A subsequent phase performs greater complexity (e.g., quadratic) processing on the divided sets of detections. The subdivision and redistribution of detections lends itself to parallelization. Beneficially, detections over extended batch periods can be processed very efficiently to provide improved target tracking and discrimination in dense target environments.