Mining actionlet ensemble for action recognition with depth cameras
Human action recognition is an important yet challenging task. The recently developed commodity depth sensors open up new possibilities of dealing with this problem but also present some unique challenges. The depth maps captured by the depth cameras are very noisy and the 3D positions of the tracke...
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Main Authors: | , , , |
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格式: | Conference or Workshop Item |
語言: | English |
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2013
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主題: | |
在線閱讀: | https://hdl.handle.net/10356/100602 http://hdl.handle.net/10220/17897 |
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機構: | Nanyang Technological University |
語言: | English |