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Adaptive Local Spatiotemporal Features from RGB-D Data for One-Shot Learning Gesture Recognition
Noise and constant empirical motion constraints affect the extraction of distinctive spatiotemporal features from one or a few samples per gesture class. To tackle these problems, an adaptive local spatiotemporal feature (ALSTF) using fused RGB-D data is proposed. First, motion regions of interest (...
| Autores principales: | , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
MDPI
2016
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5191150/ https://www.ncbi.nlm.nih.gov/pubmed/27999337 http://dx.doi.org/10.3390/s16122171 |