Background Subtraction Techniques-Review
Bharti1, Tejinder Thind2
1Bharti, Department of Computer Science & Engineering Lovely Professional University Phagwara, India.
2Tejinder Thind, Department of Computer Science & Engineering Lovely Professional University Phagwara, India
Manuscript received on 07 February 2013 | Revised Manuscript received on 21 February 2013 | Manuscript Published on 28 February 2013 | PP: 167-169 | Volume-2 Issue-3, February 2013 | Retrieval Number: C0400022313/2013©BEIESP
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© The Authors. Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC-BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)
Abstract: Background subtraction approach is used to detect the moving object from background. Different methods have been proposed to detect object motion by using different background subtraction techniques over recent years. Each technique has its own benefits and limitations such as some techniques can only applied for static background and some for dynamic backgrounds. This paper provides review of main methods used to detect foreground object with its merits and demerits. It would help the researchers to select the most appropriate technique according to the application.
Keywords: Background subtraction, Gaussian mixture model, Region based, pixel based
Scope of the Article: Probabilistic Models and Methods