Multi-Scale Feature Pyramid Network: A Heavily Occluded Pedestrian Detection Network Based on ResNet

The existing pedestrian detection algorithms cannot effectively extract features of heavily occluded targets which results in lower detection accuracy. To solve the heavy occlusion in crowds, we propose a multi-scale feature pyramid network based on ResNet (MFPN) to enhance the features of occluded...

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Detalles Bibliográficos
Autores principales: Shao, Xiaotao, Wang, Qing, Yang, Wei, Chen, Yun, Xie, Yi, Shen, Yan, Wang, Zhongli
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2021
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7961544/
https://www.ncbi.nlm.nih.gov/pubmed/33807795
http://dx.doi.org/10.3390/s21051820

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7961544/
https://www.ncbi.nlm.nih.gov/pubmed/33807795
http://dx.doi.org/10.3390/s21051820

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