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Moving Object Detection and Segmentation using Frame Differencing and Summing Technique

by Gopal Thapa, Kalpana Sharma, M.k.ghose
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International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 102 - Number 7
Year of Publication: 2014
Authors: Gopal Thapa, Kalpana Sharma, M.k.ghose
10.5120/17828-8647

Gopal Thapa, Kalpana Sharma, M.k.ghose . Moving Object Detection and Segmentation using Frame Differencing and Summing Technique. International Journal of Computer Applications. 102, 7 ( September 2014), 20-25. DOI=10.5120/17828-8647

@article{ 10.5120/17828-8647,
author = { Gopal Thapa, Kalpana Sharma, M.k.ghose },
title = { Moving Object Detection and Segmentation using Frame Differencing and Summing Technique },
journal = { International Journal of Computer Applications },
issue_date = { September 2014 },
volume = { 102 },
number = { 7 },
month = { September },
year = { 2014 },
issn = { 0975-8887 },
pages = { 20-25 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume102/number7/17828-8647/ },
doi = { 10.5120/17828-8647 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T22:32:30.689275+05:30
%A Gopal Thapa
%A Kalpana Sharma
%A M.k.ghose
%T Moving Object Detection and Segmentation using Frame Differencing and Summing Technique
%J International Journal of Computer Applications
%@ 0975-8887
%V 102
%N 7
%P 20-25
%D 2014
%I Foundation of Computer Science (FCS), NY, USA
Abstract

The technology of motion detection has become one of the important research areas in computer vision. In surveillance video this has got a number of applications which range from indoor and outdoor security environment, traffic control, behavior detection during spot activities and for compression of video. In this paper simple but robust moving object detection and segmentation algorithm is proposed. The algorithm is based on the background subtraction. A differencing and summing technique (DST) has been used for the moving object detection and segmentation. This method is simple and low in computational complexity as compared to traditional object identification and segmentation techniques. The experimental results show that the proposed method work efficiently in identifying and segmenting moving objects, both in indoor as well as in outdoor environment with static background.

References
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Index Terms

Computer Science
Information Sciences

Keywords

Object identification Object segmentation background subtraction surveillance video bonding box.

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