ISSN: 2349-5162

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Published in:

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

Unique Identifier

JETIR1506066

Page Number

2070-2074

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Title

Survey On Abandoned Object Detection

ISSN

2349-5162

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

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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 | 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
ISSN Number: 2349-5162

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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




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