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Occluded Pedestrian-Attribute Recognition for Video Sensors Using Group Sparsity
Pedestrians are often obstructed by other objects or people in real-world vision sensors. These obstacles make pedestrian-attribute recognition (PAR) difficult; hence, occlusion processing for visual sensing is a key issue in PAR. To address this problem, we first formulate the identification of non...
| Autores principales: | , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
MDPI
2022
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9460213/ https://www.ncbi.nlm.nih.gov/pubmed/36081084 http://dx.doi.org/10.3390/s22176626 |