Real Time Parameter Optimization for Elementary Motion Detectors

Elementary motion detectors are biologically motivated motion detectors based on a visual processing model of insects. Due to their low computational costs in estimating motion vectors, they can realize real time motion detection algorithms. In order to obtain good estimation results, however, it is necessary to set up parameters configuring these detectors properly. This paper proposes a real time algorithm to optimize such parameters. The algorithm has been implemented in a hardware system with an FGPA device and a CMOS camera module. It has been found that parameters can be dynamically adapted in real time to improve estimation results.