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A correspondence based method for activity recognition in human skeleton motion sequences

contributor authorFotiadou, Eftychia
contributor authorNikolaidis, Nikos
date accessioned2020-03-12T22:49:30Z
date available2020-03-12T22:49:30Z
date issued2014
identifier other7025300.pdf
identifier urihttps://libsearch.um.ac.ir:443/fum/handle/fum/1095856?show=full
formatgeneral
languageEnglish
publisherIEEE
titleA correspondence based method for activity recognition in human skeleton motion sequences
typeConference Paper
contenttypeMetadata Only
identifier padid8236206
subject keywordsmobile radio
subject keywordsn protocols
subject keywordsn quality of service
subject keywordsn radio access networks
subject keywordsn telecommunication security
subject keywordsn AVISPA software
subject keywordsn SMM-NEMO
subject keywordsn SPAN
subject keywordsn automated validation of Internet security protocols and applications
subject keywordsn handover latency
subject keywordsn heterogeneous environment
subject keywordsn heterogeneous wireless network
subject keywordsn mobile communication networks
subject keywordsn mobile routers
subject keywordsn mobile stations
subject keywordsn network mobility
subject keywordsn new generation access network
subject keywordsn quality of service
subject keywordsn seamless services
identifier doi10.1109/IWCMC.2014.6906410
journal titlemage Processing (ICIP), 2014 IEEE International Conference on
filesize126710
citations0


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