UGC Approved Journal no 63975(19)

ISSN: 2349-5162 | ESTD Year : 2014
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Published in:

Volume 2 Issue 6
July-2015
eISSN: 2349-5162

UGC and ISSN approved 7.95 impact factor UGC Approved Journal no 63975

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Published Paper ID:
JETIR1506066


Registration ID:
150603

Page Number

2070-2074

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Title

Survey On Abandoned Object Detection

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Abstract

In recent years due to various kind of social activities such as theft, bomb attack and other terrorist attack preventive security measures at public places has gained lot of importance. Abandoned Object detection is most crucial task in visual surveillance system. Many Public or open areas are facilitated with cameras at multiple angles to monitor the security of that area for keeping citizens safe. This is known as the surveillance system. In this paper a new algorithm is proposed for object tracking in video, which is based on image segmentation. With the image segmentation all objects in video can be detected whether they are moving or not by using segmentation results of successive frames. The algorithm will be tested on real time video surveillance system and it will produce very low false alarm and missing detection. This approach definitely provides security and detects the moving object in real time video sequence and live video streaming.

Key Words

Abandoned object detection, Surveillance, Background Subtraction.

Cite This Article

"Survey On Abandoned Object Detection", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.2, Issue 6, page no.2070-2074, July-2015, Available :http://www.jetir.org/papers/JETIR1506066.pdf

ISSN


2349-5162 | Impact Factor 7.95 Calculate by Google Scholar

An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 7.95 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator

Cite This Article

"Survey On Abandoned Object Detection", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.2, Issue 6, page no. pp2070-2074, July-2015, Available at : http://www.jetir.org/papers/JETIR1506066.pdf

Publication Details

Published Paper ID: JETIR1506066
Registration ID: 150603
Published In: Volume 2 | Issue 6 | Year July-2015
DOI (Digital Object Identifier):
Page No: 2070-2074
Country: Raipur, Chhattisgarh, India .
Area: Engineering
ISSN Number: 2349-5162
Publisher: IJ Publication


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