Video Background Extraction Using Improved Mean Algorithm and Frame Difference Method
黄樟灿, Ahmed Mahgoub Ahmed Talab, Ahmed Mahgoub Ahmed Talab, Xiong Jiang · Research Journal of Applied Sciences Engineering and Technology · 2014
Background extraction is a crucial step in many automatic video content analysis applications. In this study, we propose new tracking approach by usage of two sequential images in limited period and by giving the specific threshold; then if the difference is greater than the threshold, the extracted image is classified as foreground image while if it is less than the threshold it classified as background. In addition, we propose extraction of background image from video using the improved mean algorithm. The Experimental results proof that the proposed method is fast and no shadow was recorded.