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Proceedings of the International Conference on Recent Cognizance in Wireless Communication & Image Processing, p. 837-843

DOI: 10.1007/978-81-322-2638-3_94

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Real Time Abandoned Object Detection Using Video Surveillance

This paper is available in a repository.
This paper is available in a repository.

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Preprint: policy unknown
Question mark in circle
Postprint: policy unknown
Question mark in circle
Published version: policy unknown

Abstract

Due to increase in terrorist activity in public places security is now becoming an major issue in public places. In this paper we have proposed An Abandoned object detection through video surveillance installed in public places. Output is in real time. We use Dual Background subtraction method to find out the Static object. It is been assumed that object which is part of foreground for longer period of time slowly turns as part of background. Background modeling is done using approximate median model. For foreground processing background subtracting method is used followed by Anding operation of frames to find out the static object. The system is simple to design and not having complexity of filters or complex calculation. The test is performed on PETS2006 database. The result shows satisfactory performance even under complex condition of shadow, moving crowd and lightning condition. Matlab R2013a is used for compilation of system.