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Reseach Article

Automatic Segmentation of Moving Object in Video Sequences

Published on July 2016 by Shubhangi Vaikole, S. D. Sawarkar
International Conference on Communication Computing and Virtualization
Foundation of Computer Science USA
ICCCV2016 - Number 1
July 2016
Authors: Shubhangi Vaikole, S. D. Sawarkar
78fba3d2-56a0-44d6-a0db-94750a35e09d

Shubhangi Vaikole, S. D. Sawarkar . Automatic Segmentation of Moving Object in Video Sequences. International Conference on Communication Computing and Virtualization. ICCCV2016, 1 (July 2016), 0-0.

@article{
author = { Shubhangi Vaikole, S. D. Sawarkar },
title = { Automatic Segmentation of Moving Object in Video Sequences },
journal = { International Conference on Communication Computing and Virtualization },
issue_date = { July 2016 },
volume = { ICCCV2016 },
number = { 1 },
month = { July },
year = { 2016 },
issn = 2249-0868,
pages = { 0-0 },
numpages = 1,
url = { /proceedings/icccv2016/number1/912-1649/ },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Proceeding Article
%1 International Conference on Communication Computing and Virtualization
%A Shubhangi Vaikole
%A S. D. Sawarkar
%T Automatic Segmentation of Moving Object in Video Sequences
%J International Conference on Communication Computing and Virtualization
%@ 2249-0868
%V ICCCV2016
%N 1
%P 0-0
%D 2016
%I International Journal of Applied Information Systems
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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Index Terms

Computer Science
Information Sciences

Keywords

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