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Multiview Gait Recognition Based on Patch Distribution Features and Uncorrelated Multilinear Sparse Local Discriminant Canonical Correlation Analysis

contributor authorHaifeng Hu
date accessioned2020-03-12T18:27:14Z
date available2020-03-12T18:27:14Z
date issued2014
identifier issn1051-8215
identifier other6587790.pdf
identifier urihttp://libsearch.um.ac.ir:80/fum/handle/fum/959030?show=full
formatgeneral
languageEnglish
publisherIEEE
titleMultiview Gait Recognition Based on Patch Distribution Features and Uncorrelated Multilinear Sparse Local Discriminant Canonical Correlation Analysis
typeJournal Paper
contenttypeMetadata Only
identifier padid7991543
subject keywordsfeature extraction
subject keywordsgait analysis
subject keywordsiterative methods
subject keywordsstatistical analysis
subject keywordstrees (mathematics)
subject keywordsvideo surveillance
subject keywordswavelet transforms
subject keywordsDTCWT based gait feature
subject keywordsUMSLDCCA framework
subject keywordsdual-tree complex wavelet transform features
subject keywordsmultiview gait recognition
subject keywordspatch distribution feature based classification framework
subject keywordspatch distribution parameters
subject keywordsprobe gait sequence
subject keywordssequential iterative processes
subject keywordssimple nearest-neighbor classifier
subject keywordstensor-to-vector projection
subject keywordstwo-stage Gaussian mixture model
subject keywordsu
identifier doi10.1109/TCSVT.2013.2280098
journal titleCircuits and Systems for Video Technology, IEEE Transactions on
journal volume24
journal issue4
filesize12561149
citations0


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