Abstract
An objects detection algorithm for color dynamic images from two cameras is proposed under low illumination for a real surveillance system. It provides automatic calculation of a Fuzzy Corresponding Map and color similarity for lower luminance conditions, which detects little chromatic regions in input images under lower illumination taking perspective into consideration. Experimental detection results for two dynamic images from real surveillance cameras in a downtown area in Japan under low illumination show that the proposed algorithm has 15% improved accuracy compared with the independent detection algorithm in the same false alarm rate. The proposed will be used as a basis unit for surveillance camera system.
