Background extraction using improved mode algorithm for visual surveillance applications. (2nd December 2011)

• Record Type: Journal Article
• Authors: Sivabalakrishnan, M.; Manjula, D.
• Is Part Of: International journal of computational science and engineering. Volume 6:Number 4(2011)
• Page Start: 275
• Page End: 282
• Publication Date: 2011-12-02
• Subjects: background subtraction -- mode background extraction -- foreground detection -- fuzzy background subtraction -- SAD; Computer science -- Mathematics -- Periodicals; Computer simulation -- Mathematical aspects -- Periodicals; Computational intelligence -- Periodicals; 004.015105
• Languages: English
• ISSNs: 1742-7185

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.