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Reseach Article

Mobile Surveillance System for Object Detection and Extraction using Image Processing

Published on September 2015 by Sundari Tribhuvanam, Arvind R, Afroz Alam
National Conference “Electronics, Signals, Communication and Optimization"
Foundation of Computer Science USA
NCESCO2015 - Number 3
September 2015
Authors: Sundari Tribhuvanam, Arvind R, Afroz Alam
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Sundari Tribhuvanam, Arvind R, Afroz Alam . Mobile Surveillance System for Object Detection and Extraction using Image Processing. National Conference “Electronics, Signals, Communication and Optimization". NCESCO2015, 3 (September 2015), 23-27.

@article{
author = { Sundari Tribhuvanam, Arvind R, Afroz Alam },
title = { Mobile Surveillance System for Object Detection and Extraction using Image Processing },
journal = { National Conference “Electronics, Signals, Communication and Optimization" },
issue_date = { September 2015 },
volume = { NCESCO2015 },
number = { 3 },
month = { September },
year = { 2015 },
issn = 0975-8887,
pages = { 23-27 },
numpages = 5,
url = { /proceedings/ncesco2015/number3/22311-5329/ },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Proceeding Article
%1 National Conference “Electronics, Signals, Communication and Optimization"
%A Sundari Tribhuvanam
%A Arvind R
%A Afroz Alam
%T Mobile Surveillance System for Object Detection and Extraction using Image Processing
%J National Conference “Electronics, Signals, Communication and Optimization"
%@ 0975-8887
%V NCESCO2015
%N 3
%P 23-27
%D 2015
%I International Journal of Computer Applications
Abstract

Security and safety of the people in public places is the major concern for the law enforcement departments of this country. Building surveillance system with video tracking and robotic platforms is the current challenge for the engineers to build indigenous Security Systems. The majority of existing systems are stationary with roof mounted video cameras for object tracking which do not provide full proof security. In this paper, a prototype of semi-automated robotic system for surveillance, object tracking and retrieval in real time environment is discussed. Surveillance is accomplished by video camera, object detection and tracking is achieved by image processing techniques and a robotic system with an arm. The retrieved object is disposed in a pre designated location. The obstacle detection and avoidance is adopted in this robotic surveillance system [1]. Security and safety of the people in public places is the major concern for the law enforcement departments of this country. Building surveillance system with video tracking and robotic platforms is the current challenge for the engineers to build indigenous Security Systems. The majority of existing systems are stationary with roof mounted video cameras for object tracking which do not provide full proof security. In this paper, a prototype of semi-automated robotic system for surveillance, object tracking and retrieval in real time environment is discussed. Surveillance is accomplished by video camera, object detection and tracking is achieved by image processing techniques and a robotic system with an arm. The retrieved object is disposed in a pre designated location. The obstacle detection and avoidance is adopted in this robotic surveillance system [1].

References
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Index Terms

Computer Science
Information Sciences

Keywords

Surveillance Obstacle Avoidance Objects Detection Video Tracking Centroid Bounding Box Region Of Interest Object Retrieval