Graph convolution network based skeleton action recognition with DCT features
Human Action Recognition (HAR), which aims to decipher human movements from video, has been an important research topic in computer vision for many years, as it serves as the foundation for many innovative technologies and applications. While most recent HAR-related research focused on applying Grap...
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| Format: | Final Year Project (FYP) |
| Language: | English |
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Nanyang Technological University
2023
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| Online Access: | https://hdl.handle.net/10356/172751 |