Recent Trends in Background Subtraction Approach for Moving Object Detection

Authors(2) :-Rudrika Kalsotra, Sakshi Arora

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.

Authors and Affiliations

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

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

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Publication Details

Published in : Volume 2 | Issue 7 | September 2017
Date of Publication : 2017-09-30
License:  This work is licensed under a Creative Commons Attribution 4.0 International License.
Page(s) : 261-271
Manuscript Number : CSEIT174431
Publisher : Technoscience Academy

ISSN : 2456-3307

Cite This Article :

Rudrika Kalsotra, Sakshi Arora, "Recent Trends in Background Subtraction Approach for Moving Object Detection", International Journal of Scientific Research in Computer Science, Engineering and Information Technology (IJSRCSEIT), ISSN : 2456-3307, Volume 2, Issue 7, pp.261-271, September-2017.
Journal URL : http://ijsrcseit.com/CSEIT174431

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