Video-Based Recognition of Human Activity Using Novel Feature Extraction Techniques
This paper proposes a novel approach to activity recognition where videos are compressed using video coding to generate feature vectors based on compression variables. We propose to eliminate the temporal domain of feature vectors by computing the mean and standard deviation of each variable across...
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| Huvudupphov: | , |
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| Materialtyp: | Artigo |
| Språk: | Inglês |
| Utgiven: |
MDPI AG
2023-06-01
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| Serie: | Applied Sciences |
| Ämnen: | |
| Länkar: | https://www.mdpi.com/2076-3417/13/11/6856 |
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