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A Study of Video Object Tracking based on Automatic Background Segmentation and updating using Different Technique

Author(s): Pushpender Prasad Chaturvedi | Amit Singh Rajput | Aabha Jain

Journal: International Journal of Advanced Computer Research
ISSN 2249-7277

Volume: 3;
Issue: 10;
Start page: 61;
Date: 2013;
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Keywords: V ideo Tracking | Noise Filter | Segmentation

Video object tracking play an important role insecuritysurveillance in current scenario. Theexplosion of successful digital device, the ease ofuse of high quality and economical video cameras,and the increasing need for computerized videoanalysis has generated a great deal of interest invideo tracking methods. There are three techniquesfor video analysis: exposure of interesting movingtarget, tracking of such target from frame to frame,and analysis of target tracks to identify theiractivities. The successful video object trackingsystem faced a problem of false detection of movingvideo object. The false video object detection arisesdue to drastic change of background of movingvideo. For the maintenance of background updatingvarious authors proposed a method for automaticbackground updating. In this paper we study ofdifferent video object tracking method usingbackground updating factor
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