Authors: M. Sivabalakrishnan; D. Manjula
Addresses: Department of CSE, College of Engineering, Anna University, Chennai 600 025, India. ' Department of CSE, College of Engineering, Anna University, Chennai 600 025, India
Abstract: Background subtraction is a very popular approach for foreground segmentation in a still scene image. A common approach is to perform background subtraction, which identifies moving objects from the portion of a video frame that differs significantly from a background model. In order to compensate for illumination changes, a background model updating process is generally employed, which leads to extra computation time. Background extraction is a fast and efficient moving object segmentation algorithm. This paper presents a novel background extraction algorithm based on improved mode algorithm to obtain the regions of static background, and a novel fuzzy background subtraction approach for video object segmentation. The goal of employing these approaches is to obtain a clean static background reference image and then apply it to background subtraction. We compare our method with other methods and report experimental result.
Keywords: mode background extraction; foreground detection; fuzzy background subtraction; SAD; visual surveillance; still scene images; illumination changes; video object segmentation; image segmentation; sum of absolute difference.
International Journal of Computational Science and Engineering, 2011 Vol.6 No.4, pp.275 - 282
Available online: 25 Nov 2011Full-text access for editors Access for subscribers Purchase this article Comment on this article