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International Journal of Advanced Research in Computer and Communication Engineering A monthly Peer-reviewed & Refereed journal
ISSN Online 2278-1021ISSN Print 2319-5940Since 2012
IJARCCE adheres to the suggestive parameters outlined by the University Grants Commission (UGC) for peer-reviewed journals, upholding high standards of research quality, ethical publishing, and academic excellence.
← Back to VOLUME 5, ISSUE 1, JANUARY 2016

Suspicious Object Detection Using Back-Tracing Technique

Aniket Bhondave, Bhagyawant Biradar, Vishal Suryavanshi, Harshal Nakil

DOI: 10.17148/IJARCCE.2016.51101

Abstract: This paper presents an technique that is enhanced for the basic CCTV cameras which can automatically detect the abandoned luggage through the pre used CCTV camera, for detection we are using background subtraction technique and foreground object extraction .where all the image extracted from the CCTV surveillance is classified as 2 bit code and identify static foreground region, and identifying the abandoned object. This technique is basically introduced for making the public places safe and secure where abandoned object may have weapons bombs and many other harmful equipments.



Keywords: CCTV, object detection, alarm, abandoned object.

How to Cite:

[1] Aniket Bhondave, Bhagyawant Biradar, Vishal Suryavanshi, Harshal Nakil, “Suspicious Object Detection Using Back-Tracing Technique,” International Journal of Advanced Research in Computer and Communication Engineering (IJARCCE), DOI: 10.17148/IJARCCE.2016.51101