UGC Approved Journal no 63975(19)

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Published in:

Volume 5 Issue 9
September-2018
eISSN: 2349-5162

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

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Published Paper ID:
JETIRA006337


Registration ID:
189171

Page Number

100-107

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Title

AUTOMATIC DETECTION OF HUMAN FACE BY USING NORMALIZED GABOR FILTERS IN VIDEO SEQUENCES

Abstract

Machine analysis for detection of the human face is an active research topic in Human-Computer Interaction today. Most of the existing studies show that discovering the portion and the scale of the face region is difficult due to significant illumination variation, noise and appearance variation in unconstrained scenarios. To overcome these problems, we present a method based on Normalized Gabor Features. For each frame, normalization technique is formulated. The frame is divided into overlapping blocks. Gabor features are extracted in each block by using Gabor filter with selected scale and orientations. TheseGabor filter features are skewed and then passed toAdaBoost classifier with the exemplar of face and non-face signature of the images for detecting thehuman face.The developed methods are deployed on the real time YouTube video face databases and found to exhibit significant performance improvement owing to the novel features when compared to the existing techniques.

Key Words

Gabor wavelet, Normalization,Skewness, Ensemble classifier, Human – computer interaction

Cite This Article

"AUTOMATIC DETECTION OF HUMAN FACE BY USING NORMALIZED GABOR FILTERS IN VIDEO SEQUENCES", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.5, Issue 9, page no.100-107, September-2018, Available :http://www.jetir.org/papers/JETIRA006337.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

"AUTOMATIC DETECTION OF HUMAN FACE BY USING NORMALIZED GABOR FILTERS IN VIDEO SEQUENCES", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.5, Issue 9, page no. pp100-107, September-2018, Available at : http://www.jetir.org/papers/JETIRA006337.pdf

Publication Details

Published Paper ID: JETIRA006337
Registration ID: 189171
Published In: Volume 5 | Issue 9 | Year September-2018
DOI (Digital Object Identifier):
Page No: 100-107
Country: --, -, - .
Area: Engineering
ISSN Number: 2349-5162
Publisher: IJ Publication


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