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Detecting and Tracking of Moving Objects from Video
by
Tushar S. Waykole,
Yogendra Kumar Jain
| International Journal of Computer Applications |
| Foundation of Computer Science (FCS), NY, USA |
| Volume 81 - Number 18 |
| Year of Publication: 2013 |
| Authors: Tushar S. Waykole, Yogendra Kumar Jain |
10.5120/14224-2410
|
Tushar S. Waykole, Yogendra Kumar Jain . Detecting and Tracking of Moving Objects from Video. International Journal of Computer Applications. 81, 18 ( November 2013), 23-28. DOI=10.5120/14224-2410
@article{
10.5120/14224-2410,
author = {
Tushar S. Waykole,
Yogendra Kumar Jain
},
title = { Detecting and Tracking of Moving Objects from Video },
journal = {
International Journal of Computer Applications
},
issue_date = { November 2013 },
volume = { 81 },
number = { 18 },
month = { November },
year = { 2013 },
issn = { 0975-8887 },
pages = {
23-28
},
numpages = {9},
url = {
https://ijcaonline.org/archives/volume81/number18/14224-2410/
},
doi = { 10.5120/14224-2410 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T21:56:34.189825+05:30
%A Tushar S. Waykole
%A Yogendra Kumar Jain
%T Detecting and Tracking of Moving Objects from Video
%J International Journal of Computer Applications
%@ 0975-8887
%V 81
%N 18
%P 23-28
%D 2013
%I Foundation of Computer Science (FCS), NY, USA
Abstract
Background Subtraction methods are widely used for detecting and tracking moving objects in videos. It is useful in many applications such as traffic monitoring, video surveillances. The accurate tracking and detection of moving object is the challenging aspect of such approach. This work proposes a general purpose method which combines the advantage of spatio-temporal differencing with the basic background subtraction method. The results are promising on the proposed method as compared with the basic model of background subtraction and mean shift method.
References
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