Dual frame rate motion detection for memory- and energy-constrained surveillance systems

CCTV-based surveillance systems gaining widespread popularity still waste computational power, transmission bandwidth and storage space. This paper tries to respond to this necessity by proposing a motion-based video recording scheme with dual frame rate motion detection. Statistical models for memory and energy consumption of the overall system are described. Root-mean-square error of the models for memory consumption is 0.54 and 0.78 for systems with single frame rate and dual frame rate motion detection, respectively. For a typical surveillance video, the proposed dual frame rate system stores 1.22, 4.94, 7.81 less frames per second on at 10fps, 1fps, 0.5fps respectively, compared to the single frame rate motion detection system. We have suggested a criterion for using dual frame rate motion detection in surveillance based on a mathematical model.