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Body Surface Context: A New Robust Feature for Action Recognition From Depth Videos

contributor authorYan Song
contributor authorJinhui Tang
contributor authorFan Liu
contributor authorShuicheng Yan
date accessioned2020-03-12T18:42:43Z
date available2020-03-12T18:42:43Z
date issued2014
identifier issn1051-8215
identifier other6722961.pdf
identifier urihttps://libsearch.um.ac.ir:443/fum/handle/fum/967754?show=full
formatgeneral
languageEnglish
publisherIEEE
titleBody Surface Context: A New Robust Feature for Action Recognition From Depth Videos
typeJournal Paper
contenttypeMetadata Only
identifier padid8001769
subject keywordsimage motion analysis
subject keywordsimage representation
subject keywordsobject recognition
subject keywordsvideo signal processing
subject keywords3D point cloud
subject keywords3D real-world coordinate system
subject keywordsBSC
subject keywordsbody surface context
subject keywordsdepth camera
subject keywordsdepth data
subject keywordsdepth videos
subject keywordsdifference vector
subject keywordshuman action dataset
subject keywordshuman action recognition
subject keywordsrandom reference point scheme
subject keywordsskeleton based scheme
subject keywordsspatial temporal scheme
subject keywordsContext
subject keywordsFeature extraction
subject keywordsJoints
subject keywordsShape
subject keywordsThree-dimensional displays
subject keywordsVectors
subject keywordsDepth video
subject keywordsHuman action recognition
subject keywordsdepth video
subject keywordsfeature
subject keywordshuman
identifier doi10.1109/TCSVT.2014.2302558
journal titleCircuits and Systems for Video Technology, IEEE Transactions on
journal volume24
journal issue6
filesize18305705
citations0


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