Pedestrian Detection with Semantic Regions of Interest

For many pedestrian detectors, background vs. foreground errors heavily influence the detection quality. Our main contribution is to design semantic regions of interest that extract the foreground target roughly to reduce the background vs. foreground errors of detectors. First, we generate a pedest...

Descripción completa

Detalles Bibliográficos
Autores principales: He, Miao, Luo, Haibo, Chang, Zheng, Hui, Bin
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2017
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5713501/
https://www.ncbi.nlm.nih.gov/pubmed/29165372
http://dx.doi.org/10.3390/s17112699

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5713501/
https://www.ncbi.nlm.nih.gov/pubmed/29165372
http://dx.doi.org/10.3390/s17112699

Ejemplares similares