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Automated video surveillance for abandoned object

Author(s):

Pavithra Balakrishnan , Bharti vidyapeeth's College of Engineering for Womens; K. S. Sawant, Bharti vidyapeeth's College of Engineering for Womens; Soyra Tale, Bharti vidyapeeth's College of Engineering for Womens; Aakanksha Kodgire, Bharti vidyapeeth's College of Engineering for Womens; Amrapali Rakh, Bharti vidyapeeth's College of Engineering for Womens

Keywords:

Abandoned object, Background subtraction, Object detection, Stationary object, Surveillance system

Abstract

In this paper, we propose a new design and implementation method in supporting a smart surveillance system that can automatically detect abandoned objects in public places such as bus stations, train stations or airports, etc.. The developing system is implemented by using image processing techniques. In the circumstance such as when suspicious objects i.e. unattended objects have been detected, the system will alert to people responsible for the role such as security guards or security staff. In this paper, we also differentiate between the stationary objects and the objects that are in motion. The detection process consists of four major components: 1) Image extraction from live video feed 2) Image Processing 3) Object Detection and 4) Result Presentation. In this paper we put our attention into background subtraction algorithm for detection of object in low quality video i.e. improve accuracy.

Other Details

Paper ID: IJSRDV2I9443
Published in: Volume : 2, Issue : 9
Publication Date: 01/12/2014
Page(s): 780-782

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