Attention Based CNN-ConvLSTM for Pedestrian Attribute Recognition

As a result of its important role in video surveillance, pedestrian attribute recognition has become an attractive facet of computer vision research. Because of the changes in viewpoints, illumination, resolution and occlusion, the task is very challenging. In order to resolve the issue of unsatisfa...

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Detalles Bibliográficos
Autores principales: Li, Yang, Xu, Huahu, Bian, Minjie, Xiao, Junsheng
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2020
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7038686/
https://www.ncbi.nlm.nih.gov/pubmed/32028568
http://dx.doi.org/10.3390/s20030811

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7038686/
https://www.ncbi.nlm.nih.gov/pubmed/32028568
http://dx.doi.org/10.3390/s20030811

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