Human Action Recognition from Gradient Boundary Histograms
This thesis presents a framework for automatic recognition of human actions in un- controlled, realistic video data with fixed cameras, such as surveillance videos. In this thesis, we divide human action recognition into three steps: description, representation, and classification of local spatio-te...
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| Language: | en |
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Université d'Ottawa / University of Ottawa
2017
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| Online Access: | http://hdl.handle.net/10393/35931 http://dx.doi.org/10.20381/ruor-20212 |