Skeleton based action recognition with graph convolutional networks
Human Action Recognition (HAR) has become more popular in the research field of computer vision in recent years. It has the goal of understanding human actions and motion from captured data, using deep learning methods, to be able to classify each action or motion with a specific label. It can be us...
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格式: | Final Year Project |
語言: | English |
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Nanyang Technological University
2021
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在線閱讀: | https://hdl.handle.net/10356/153996 |
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機構: | Nanyang Technological University |
語言: | English |