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An information-rich sampling technique over spatio-temporal CNN for classification of human actions in videos
We propose a novel video sampling scheme for human action recognition in videos, using Gaussian Weighing Function. Traditionally in deep learning-based human activity recognition approaches, either a few random frames or every k(th) frame of the video is considered for training the 3D CNN, where k i...
| Autores principales: | , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
Springer US
2022
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9084266/ https://www.ncbi.nlm.nih.gov/pubmed/35572387 http://dx.doi.org/10.1007/s11042-022-12856-6 |