Title: Background extraction using improved mode algorithm for visual surveillance applications

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.

DOI: 10.1504/IJCSE.2011.043927

International Journal of Computational Science and Engineering, 2011 Vol.6 No.4, pp.275 - 282

Available online: 25 Nov 2011

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