Analysis of Most Important Parts for Silhouette-Based Gait Recognition

P Yogarajah; Joan Condell; G Prasad

doi:10.1109/IMVIP.2011.27

Analysis of Most Important Parts for Silhouette-Based Gait Recognition

P Yogarajah, Joan Condell, G Prasad

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

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Abstract

Many silhouettes based features are proposed forgait recognition. But these methods suffer with covariate factorssuch as clothing and carrying objects. These covariate factorsmostly attached with silhouettes and make gait recognition muchdifficult. Therefore we proposed a new silhouette based feature toanalyse the influence of body parts and increase the recognitionrate for individual identification.

Original language	English
Title of host publication	Unknown Host Publication
Publisher	IEEE
Pages	103-104
Number of pages	2
DOIs	https://doi.org/10.1109/IMVIP.2011.27
Publication status	Published (in print/issue) - 7 Sept 2011
Event	2011 Irish Machine Vision and Image Processing Conference - Dublin, Ireland. Duration: 7 Sept 2011 → …

Conference

Conference	2011 Irish Machine Vision and Image Processing Conference
Period	7/09/11 → …

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10.1109/IMVIP.2011.27

IMVIP2011PaperAuthor Accepted Manuscript, 461 KB

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title = "Analysis of Most Important Parts for Silhouette-Based Gait Recognition",

abstract = "Many silhouettes based features are proposed forgait recognition. But these methods suffer with covariate factorssuch as clothing and carrying objects. These covariate factorsmostly attached with silhouettes and make gait recognition muchdifficult. Therefore we proposed a new silhouette based feature toanalyse the influence of body parts and increase the recognitionrate for individual identification.",

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N2 - Many silhouettes based features are proposed forgait recognition. But these methods suffer with covariate factorssuch as clothing and carrying objects. These covariate factorsmostly attached with silhouettes and make gait recognition muchdifficult. Therefore we proposed a new silhouette based feature toanalyse the influence of body parts and increase the recognitionrate for individual identification.

AB - Many silhouettes based features are proposed forgait recognition. But these methods suffer with covariate factorssuch as clothing and carrying objects. These covariate factorsmostly attached with silhouettes and make gait recognition muchdifficult. Therefore we proposed a new silhouette based feature toanalyse the influence of body parts and increase the recognitionrate for individual identification.

U2 - 10.1109/IMVIP.2011.27

DO - 10.1109/IMVIP.2011.27

M3 - Conference contribution

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BT - Unknown Host Publication

PB - IEEE

T2 - 2011 Irish Machine Vision and Image Processing Conference

Y2 - 7 September 2011

ER -

Analysis of Most Important Parts for Silhouette-Based Gait Recognition

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