Target motion detection method for water surface polarization imaging based on compound eyes simulation

A target motion detection method for water surface polarization imaging based on compound eyes simulation is divided into three steps of polarization image collection calculation, bionic target detection and bionic motion target matching. A bionics method of a compound eyes simulation vision mechanism is adopted to realize the detection and tracking of a water surface target, and in the process of calculation, a scenario and target information are converted to a "compressive sensing" feature represented in the form of an impulse sequence. Subsequent target detection and target matching and tracking are both conducted based on the impulse sequence, and a response time sequence of an impulse and an impulse sequence mode are utilized to detect, match and track multi-targets in a scenario, so as to finally realize the detection of the target motion and estimation of motion vectors thereof. The method can be stably and reliably applied to water surface target motion detection under a complex water surface optical environment, and the computational efficiency is relatively high.