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...

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Detalles Bibliográficos
Autores principales: Lee, Geonu, Yun, Kimin, Cho, Jungchan
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2022
Materias:
Article
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

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9460213/
https://www.ncbi.nlm.nih.gov/pubmed/36081084
http://dx.doi.org/10.3390/s22176626

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