Abstract
Objects detection algorithm for real surveillance system is proposed based on color exception instances for color dynamic images under low illumination, where the proposed color exception instances consist of color-difference and moving possibility region calculated by detected results in previous frame. It provides useful detection result for too low illuminated situation. Experimental results for dynamic image taken under low illumination in streets show that detected frames with the proposed algorithm increase by 20% compared with detection result without exception instances. The proposed algorithm is under consideration for use in a relatively poor security downtown area in Japan.
