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Recent Trends in Background Subtraction Approach for Moving Object Detection

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  • Rudrika Kalsotra
  • Sakshi Arora

Abstract

Background Subtraction has attained much attentiveness in recent years due to potential growth in the field of intelligent video analytics. It is widely used technique for detecting moving objects from videos because of its flexibility and reliability. This paper presents a comprehensive survey of background subtraction approach. It highlights various applications, challenges and methods of background subtraction. The recent developments in conventional as well as in deep-learning approaches in the field of background subtraction are presented in this paper. In addition to this, future research directions in background subtraction are also outlined in the end.

Suggested Citation

  • Rudrika Kalsotra & Sakshi Arora, 2017. "Recent Trends in Background Subtraction Approach for Moving Object Detection," International Journal of Scientific Research in Computer Science, Engineering and Information Technology, International Journal of Scientific Research in Computer Science, Engineering and Information Technology, vol. 2(7), pages 261-271, September.
    • Handle: RePEc:jbh:ijsrcs:v2:y2017:i7:id:hcseit174431
    Note: Article URL: https://ijsrcseit.com/CSEIT174431
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