UGC Approved Journal no 63975

ISSN: 2349-5162 | ESTD Year : 2014
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Published in:

Volume 3 Issue 9
September-2016
eISSN: 2349-5162

UGC and ISSN approved 7.95 impact factor UGC Approved Journal no 63975

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Published Paper ID:
JETIR1609005


Registration ID:
160294

Page Number

26-30

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Title

Implementation of the Gaussian Mixture Model Algorithm for Foreground Detection using Segmentation and Thresholdind for High Definition video signal

Abstract

Foreground detection is very critical in video signal. For foreground detection we take video signal from the static camera. In foreground detection we follows these steps pre-processing, background modelling and foreground detection. In preprocessing we removes the noise in background modelling we model the background model, in foreground detection in this paper we detect the foreground by the comparative analysis of number of Gaussian frame. Result we compare by the help of comparative analysis of number of Gaussian frame and percentage foreground detection.

Key Words

foreground, background, clustering, GMM, threshold, MSE, PSNR

Cite This Article

"Implementation of the Gaussian Mixture Model Algorithm for Foreground Detection using Segmentation and Thresholdind for High Definition video signal", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.3, Issue 9, page no.26-30, September-2016, Available :http://www.jetir.org/papers/JETIR1609005.pdf

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2349-5162 | Impact Factor 7.95 Calculate by Google Scholar

An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 7.95 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator

Cite This Article

"Implementation of the Gaussian Mixture Model Algorithm for Foreground Detection using Segmentation and Thresholdind for High Definition video signal", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.3, Issue 9, page no. pp26-30, September-2016, Available at : http://www.jetir.org/papers/JETIR1609005.pdf

Publication Details

Published Paper ID: JETIR1609005
Registration ID: 160294
Published In: Volume 3 | Issue 9 | Year September-2016
DOI (Digital Object Identifier):
Page No: 26-30
Country: Bhilai, Chhatisgargh, India .
Area: Science & Technology
ISSN Number: 2349-5162
Publisher: IJ Publication


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