Moving vehicle detection algorithm based on improved dynamic threshold
Chengdong Wu · Jisuanji yingyong yanjiu · 2009
This paper proposed a new moving vehicle detection method in complex scenes.Based on background difference image,respectively binarized three color channels with adaptive threshold method to accurately detect moving objects.Accor-ding to previously detected targets,induced median updating strategy to achieve real-time background update.Experimental results on outdoor image sequences demonstrate that the proposed algorithm can detect moving objects in complex traffic scenes effectively and rapidly,which can meet the requirements of real-time detection of moving vehicles in intelligent transportation surveillance system.