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Use of Multiple Thresholding Techniques for Moving Object Detection and Tracking

by S. Vijayalakshmi, D. Christopher Durairaj
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International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 80 - Number 1
Year of Publication: 2013
Authors: S. Vijayalakshmi, D. Christopher Durairaj
10.5120/13822-0809

S. Vijayalakshmi, D. Christopher Durairaj . Use of Multiple Thresholding Techniques for Moving Object Detection and Tracking. International Journal of Computer Applications. 80, 1 ( October 2013), 1-7. DOI=10.5120/13822-0809

@article{ 10.5120/13822-0809,
author = { S. Vijayalakshmi, D. Christopher Durairaj },
title = { Use of Multiple Thresholding Techniques for Moving Object Detection and Tracking },
journal = { International Journal of Computer Applications },
issue_date = { October 2013 },
volume = { 80 },
number = { 1 },
month = { October },
year = { 2013 },
issn = { 0975-8887 },
pages = { 1-7 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume80/number1/13822-0809/ },
doi = { 10.5120/13822-0809 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T21:53:23.063411+05:30
%A S. Vijayalakshmi
%A D. Christopher Durairaj
%T Use of Multiple Thresholding Techniques for Moving Object Detection and Tracking
%J International Journal of Computer Applications
%@ 0975-8887
%V 80
%N 1
%P 1-7
%D 2013
%I Foundation of Computer Science (FCS), NY, USA
Abstract

The present work proposes many threshold techniques for moving object detection and tracking system. It applies more than one threshold techniques during segmentation phase of the work. Object detection is done by background subtraction with Alpha method and object tracking is carried out by feature point tracking approach. It is observed that Otsu threshold method seems to have produced a perfect extraction and yielded good result in moving object tracking. The results of applying multiple thresholds are reported in this paper.

References
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Index Terms

Computer Science
Information Sciences

Keywords

Object detection tracking threshold methods

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