DETECTION OF HUMAN FACIAL BEHAVIORAL EXPRESSION USING IMAGE PROCESSING

The paper presents Haar feature extraction classifier based image processing technique for the analysis of human facial behavioral expressions. As an improvisation, some of instances misclassified by Haar classifier are further detected by subsequent classifier adaptive algorithm (Adaboost). Careful...

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Main Authors: P. Pavithra, A. Balaji Ganesh
Format: Article
Language:English
Published: ICT Academy of Tamil Nadu 2011-02-01
Series:ICTACT Journal on Image and Video Processing
Subjects:
Online Access:http://ictactjournals.in/paper/IJIVP_5_162_165.pdf
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author P. Pavithra
A. Balaji Ganesh
author_facet P. Pavithra
A. Balaji Ganesh
author_sort P. Pavithra
collection DOAJ
description The paper presents Haar feature extraction classifier based image processing technique for the analysis of human facial behavioral expressions. As an improvisation, some of instances misclassified by Haar classifier are further detected by subsequent classifier adaptive algorithm (Adaboost). Careful attention is paid while generating the templates of various facial behavioral expressions including eye open, close, drowsy and smile. The obtained results create the possibilities of adapting an embedded image processor with the developed algorithms for the real time applications. The image processing algorithm is implemented by using Matlab.
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spelling doaj.art-b09b97ce7de049a7bfbac69804389c842022-12-22T00:11:13ZengICT Academy of Tamil NaduICTACT Journal on Image and Video Processing0976-90990976-91022011-02-0113162165DETECTION OF HUMAN FACIAL BEHAVIORAL EXPRESSION USING IMAGE PROCESSINGP. Pavithra0A. Balaji Ganesh1Department of Computer Science & Engineering, Velammal Engineering College, Tamil Nadu, IndiaTIFAC-CORE, Velammal Engineering College, Tamil Nadu, IndiaThe paper presents Haar feature extraction classifier based image processing technique for the analysis of human facial behavioral expressions. As an improvisation, some of instances misclassified by Haar classifier are further detected by subsequent classifier adaptive algorithm (Adaboost). Careful attention is paid while generating the templates of various facial behavioral expressions including eye open, close, drowsy and smile. The obtained results create the possibilities of adapting an embedded image processor with the developed algorithms for the real time applications. The image processing algorithm is implemented by using Matlab.http://ictactjournals.in/paper/IJIVP_5_162_165.pdfHuman Facial Expression IdentificationHAAR ClassifierAdaboostImage Processing
spellingShingle P. Pavithra
A. Balaji Ganesh
DETECTION OF HUMAN FACIAL BEHAVIORAL EXPRESSION USING IMAGE PROCESSING
ICTACT Journal on Image and Video Processing
Human Facial Expression Identification
HAAR Classifier
Adaboost
Image Processing
title DETECTION OF HUMAN FACIAL BEHAVIORAL EXPRESSION USING IMAGE PROCESSING
title_full DETECTION OF HUMAN FACIAL BEHAVIORAL EXPRESSION USING IMAGE PROCESSING
title_fullStr DETECTION OF HUMAN FACIAL BEHAVIORAL EXPRESSION USING IMAGE PROCESSING
title_full_unstemmed DETECTION OF HUMAN FACIAL BEHAVIORAL EXPRESSION USING IMAGE PROCESSING
title_short DETECTION OF HUMAN FACIAL BEHAVIORAL EXPRESSION USING IMAGE PROCESSING
title_sort detection of human facial behavioral expression using image processing
topic Human Facial Expression Identification
HAAR Classifier
Adaboost
Image Processing
url http://ictactjournals.in/paper/IJIVP_5_162_165.pdf
work_keys_str_mv AT ppavithra detectionofhumanfacialbehavioralexpressionusingimageprocessing
AT abalajiganesh detectionofhumanfacialbehavioralexpressionusingimageprocessing