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Automatic Segmentation of Moving Object in Video Sequences

Shubhangi Vaikole, S. D. Sawarkar Published in Pattern Recognition

IJAIS Proceedings on International Conference on Communication Computing and Virtualization
Year of Publication: 2016
© 2015 by IJAIS Journal
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  1. Shubhangi Vaikole and S D Sawarkar. Article: Automatic Segmentation of Moving Object in Video Sequences. IJAIS Proceedings on International Conference on Communication Computing and Virtualization ICCCV 2016(1):6-10, July 2016. BibTeX

    @article{key:article,
    	author = "Shubhangi Vaikole and S. D. Sawarkar",
    	title = "Article: Automatic Segmentation of Moving Object in Video Sequences",
    	journal = "IJAIS Proceedings on International Conference on Communication Computing and Virtualization",
    	year = 2016,
    	volume = "ICCCV 2016",
    	number = 1,
    	pages = "6-10",
    	month = "July",
    	note = "Published by Foundation of Computer Science, New York, USA"
    }
    

Abstract

In content based video retrieval and concept detection systems video segmentation is the most important step. There are basically two methods for video segmentation, one is semiautomatic and other is automatic. A lot of work is already performed on this two approaches. Semiautomatic methodsrequires the user intervention to draw the boundary of object. Many applications require automatic segmentation methods but still there is a lot of scope for research because mostly the methods are application specific. The main focus of this paper is to identify the gaps that are present in the existingvideo segmentation system and also to provide the possible solutions to overcome those gaps so that the accurate and efficient system which can segment objects in video can be developed. The proposed system aims to resolve the issue of uncovered background, Temporary poses and Global motion of background.

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Keywords

Global Motion of Background (GMOB), Semiautomatic segmentation, affine model.