Algorithm of infrared gait detection based on chaos ant colony and space-time combination

The detection effect of the infrared gait image is not good by using traditional detecting methods based on the visible light mode because of its larger noise, blurrier edge and lower contrast. Therefore, a new algorithm of infrared gait detection based on chaos ant colony optimization and space-time combination is proposed. It uses background subtraction method based on temporal domain segmentation for the rough detection, then for the fine detection by using 2d fuzzy partition maximum entropy method based on spatial domain segmentation, and introduces chaos ant colony algorithm to search parameters quickly. Simulation results show that this algorithm is robust, and achieved good segmentation effect by comparing with the traditional detection algorithm.