Sumith, N and Padmanayana, . and Bijur, Gururaj (2009) A Survey on different Background Detection Algorithms. In: IEEE-DSCE Explore-09, 7th – 9th November 2009, Dayanand Sagar College of Engg., Bangalore.

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Abstract

Background subtraction is a commonly used class of techniques for segmenting out objects of interest in a scene for applications such as surveillance. This paper surveys a representative sample of the published techniques for background subtraction, and analyses them with respect to three important attributes: foreground detection; background maintenance ;and postprocessing. Background subtraction is particularly a commonly used technique for motion segmentation in static scenes. It attempts to detect moving regions by subtracting the current image pixel-by-pixel from a reference background image that is created by averaging images over time in an initialized period This paper surveys many techniques and compares them.

Item Type:	Conference or Workshop Item (Paper)
Uncontrolled Keywords:	Background subtraction, surveillance, segmentation
Subjects:	Engineering > MIT Manipal > Computer Science and Engineering
Depositing User:	MIT Library
Date Deposited:	10 Jan 2014 06:14
Last Modified:	10 Jan 2014 06:21
URI:	http://eprints.manipal.edu/id/eprint/138313

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