Cargando…
Human Interaction Classification in Sliding Video Windows Using Skeleton Data Tracking and Feature Extraction †
A “long short-term memory” (LSTM)-based human activity classifier is presented for skeleton data estimated in video frames. A strong feature engineering step precedes the deep neural network processing. The video was analyzed in short-time chunks created by a sliding window. A fixed number of video...
| Autores principales: | , , |
|---|---|
| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
MDPI
2023
|
| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10384121/ https://www.ncbi.nlm.nih.gov/pubmed/37514573 http://dx.doi.org/10.3390/s23146279 |