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Video Analytics Trip Wires for Surveillance System

by Aditi Jog, Shirish Halbe
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International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 65 - Number 8
Year of Publication: 2013
Authors: Aditi Jog, Shirish Halbe
10.5120/10943-5898

Aditi Jog, Shirish Halbe . Video Analytics Trip Wires for Surveillance System. International Journal of Computer Applications. 65, 8 ( March 2013), 12-16. DOI=10.5120/10943-5898

@article{ 10.5120/10943-5898,
author = { Aditi Jog, Shirish Halbe },
title = { Video Analytics Trip Wires for Surveillance System },
journal = { International Journal of Computer Applications },
issue_date = { March 2013 },
volume = { 65 },
number = { 8 },
month = { March },
year = { 2013 },
issn = { 0975-8887 },
pages = { 12-16 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume65/number8/10943-5898/ },
doi = { 10.5120/10943-5898 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T21:18:16.974082+05:30
%A Aditi Jog
%A Shirish Halbe
%T Video Analytics Trip Wires for Surveillance System
%J International Journal of Computer Applications
%@ 0975-8887
%V 65
%N 8
%P 12-16
%D 2013
%I Foundation of Computer Science (FCS), NY, USA
Abstract

In this paper, trip wire is implemented using video analytics technology. This trip wire is used to maintain security for outdoor and also indoor scene. Undesired motions in restricted areas are detected and tracked. This restriction to specific area of video scene is provided by drawing trip wires. Alarm indication will appear on moving objects which crossed trip wires. Direction of tripping is selected by user. Main advantage of this application is user can select single trip wire mode or two trip wire mode. Continuous Adaptive MeanShift (CAMShift) Algorithm is used for motion tracking. Mouse callback events are implemented to draw trip wires on video. Application is developed by using OpenCV library functions and C code.

References
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  2. G. Bradski and A. Kaehler, Learning OpenCV. United States of America: O' Reilly, 2008.
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  7. Mahalakshmi M. "Real time Vision based Motion Object Tracking using CAMShift algorithm with enhanced Motion Segmentation", IEEE Trans, pp1-8, July 2010
  8. Y. Cheng "Mean Shift Mode seeking and Clustering," IEEE Trans, pp790-799,1995
  9. ABI Research,[Online]. Available: www. abiresearch. com
Index Terms

Computer Science
Information Sciences

Keywords

CAMShift OpenCV Trip Wire Video Analytics

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