International Journal of Innovation and Scientific Research
ISSN: 2351-8014
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  Call for Papers (January 2019)  

Segmentation for Video Sequence

Volume 30, Issue 3, May 2017, Pages 377–384

 Segmentation for Video Sequence

M. Ganeshwade Mandakini, Daivashala R. Deshmukh, and K. Vengatesan

Original language: English

Received 1 January 2017

Copyright © 2017 ISSR Journals. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.


The objective of this paper is generation of an algorithm that will separate moving foreground from a stationary background in a general video sequence. We use the different models to calculate the foreground motion in a robust estimation framework. Segmentation of objects in image sequence is very important in many aspects of multimedia applications. We describe a system for representing moving images from the multi-layered sequence. This work realizes a motion- based image isolation algorithms for isolating the moving image in a multi-layered moving image sequence. The system has been proposed here which can efficiently segment a moving foreground object from a given image sequence with still background. The modules of the system are developed using MATLAB and verified for its functionality. In our system different algorithms like LMSE, Block-matching algorithm, motion tracing and recursive algorithms are used to estimate foreground image segmentation for Multi-layered video sequence. Experimental results are given to show the efficiency of our methods.

Author Keywords: Block-matching, frame-interpolator, image/video segmentation, motion estimator.

How to Cite this Article

M. Ganeshwade Mandakini, Daivashala R. Deshmukh, and K. Vengatesan, “Segmentation for Video Sequence,” International Journal of Innovation and Scientific Research, vol. 30, no. 3, pp. 377–384, May 2017.