Combining Handcrafted Spatio-Temporal and Deep Spatial Features for Effective Human Action Recognition
Abstract Human action recognition research has become increasingly sophisticated in recent years because it is applied in many different applications like surveillance, sports analysis, robotics, etc. Many approaches have been put up to solve the problem of human action recognition, but a number of...
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| Main Authors: | , |
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| Format: | Article |
| Language: | English |
| Published: |
Springer Nature
2025-04-01
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| Series: | Human-Centric Intelligent Systems |
| Subjects: | |
| Online Access: | https://doi.org/10.1007/s44230-025-00095-5 |
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