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Object Detection and Tracking using Background Subtraction and Connected Component Labeling

by Asad Abdul Malik, Amaad Khalil, Hameed Ullah Khan
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International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 75 - Number 13
Year of Publication: 2013
Authors: Asad Abdul Malik, Amaad Khalil, Hameed Ullah Khan
10.5120/13168-0421

Asad Abdul Malik, Amaad Khalil, Hameed Ullah Khan . Object Detection and Tracking using Background Subtraction and Connected Component Labeling. International Journal of Computer Applications. 75, 13 ( August 2013), 1-5. DOI=10.5120/13168-0421

@article{ 10.5120/13168-0421,
author = { Asad Abdul Malik, Amaad Khalil, Hameed Ullah Khan },
title = { Object Detection and Tracking using Background Subtraction and Connected Component Labeling },
journal = { International Journal of Computer Applications },
issue_date = { August 2013 },
volume = { 75 },
number = { 13 },
month = { August },
year = { 2013 },
issn = { 0975-8887 },
pages = { 1-5 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume75/number13/13168-0421/ },
doi = { 10.5120/13168-0421 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T21:44:08.955955+05:30
%A Asad Abdul Malik
%A Amaad Khalil
%A Hameed Ullah Khan
%T Object Detection and Tracking using Background Subtraction and Connected Component Labeling
%J International Journal of Computer Applications
%@ 0975-8887
%V 75
%N 13
%P 1-5
%D 2013
%I Foundation of Computer Science (FCS), NY, USA
Abstract

Digital image processing is one of the most researched fields nowadays. The ever increasing need of surveillance systems has further on made this field the point of emphasis. Surveillance systems are used for security reasons, intelligence gathering and many individual needs. Object tracking and detection is one of the main steps in these systems. Different techniques are used for this task and research is vastly done to make this system automated and to make it reliable. In this research subjective quality assessment of object detection and object tracking is discussed in detail. In the proposed system the background subtraction is done from the clean original image by using distortion of color and brightness. The subtracted image is then tracked using connected component labeling. The proposed system eliminates the shadow and provides 79% accuracy.

References
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Index Terms

Computer Science
Information Sciences

Keywords

Object tracking detection Background Subtraction color distortion

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