Human Posture Tracking and Classification through Stereo Vision and 3D Model Matching
Human Posture Tracking and Classification through Stereo Vision and 3D Model Matching
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Publisher
New York: Springer Nature B.V
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Language
English
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New York: Springer Nature B.V
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Contents
The ability of detecting human postures is particularly important in several fields like ambient intelligence, surveillance, elderly care, and human-machine interaction. This problem has been studied in recent years in the computer vision community, but the proposed solutions still suffer from some limitations due to the difficulty of dealing with...
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Full title
Human Posture Tracking and Classification through Stereo Vision and 3D Model Matching
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TN_cdi_doaj_primary_oai_doaj_org_article_c2aae3985f674143bc1b7703d4b064a8
Permalink
https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_c2aae3985f674143bc1b7703d4b064a8
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ISSN
1687-5176
E-ISSN
1687-5281
DOI
10.1155/2008/476151
