Recent Trends in Background Subtraction Approach for Moving Object Detection

Authors

  • Rudrika Kalsotra  Department of Computer Science and Engineering Shri Mata Vaishno Devi University Katra, J&K, India
  • Sakshi Arora  Department of Computer Science and Engineering Shri Mata Vaishno Devi University Katra, J&K, India

Keywords:

Intelligent Video Analytics; Moving Object Detection; Foreground Object; Background Subtraction; Deep-learning

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.

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IInternational Journal of Scientific Research in Computer Science, Engineering and Information Technology

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Published

2017-09-30

Issue

Volume 2, Issue 7, September-2017

Section

Research Articles

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How to Cite

[1]
Rudrika Kalsotra, Sakshi Arora, " Recent Trends in Background Subtraction Approach for Moving Object Detection, IInternational Journal of Scientific Research in Computer Science, Engineering and Information Technology(IJSRCSEIT), ISSN : 2456-3307, Volume 2, Issue 7, pp.261-271, September-2017.