Cargando…
Feature Selection and Pedestrian Detection Based on Sparse Representation
Pedestrian detection have been currently devoted to the extraction of effective pedestrian features, which has become one of the obstacles in pedestrian detection application according to the variety of pedestrian features and their large dimension. Based on the theoretical analysis of six frequentl...
Autores principales: | Yao, Shihong, Wang, Tao, Shen, Weiming, Pan, Shaoming, Chong, Yanwen, Ding, Fei |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Public Library of Science
2015
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4546602/ https://www.ncbi.nlm.nih.gov/pubmed/26295480 http://dx.doi.org/10.1371/journal.pone.0134242 |
Ejemplares similares
-
Robust Pedestrian Classification Based on Hierarchical Kernel Sparse Representation
por: Sun, Rui, et al.
Publicado: (2016) -
Saliency Detection Using Sparse and Nonlinear Feature Representation
por: Anwar, Shahzad, et al.
Publicado: (2014) -
Medical Image Fusion Based on Feature Extraction and Sparse Representation
por: Fei, Yin, et al.
Publicado: (2017) -
An Occlusion-Robust Feature Selection Framework in Pedestrian Detection †
por: Guo, Zhixin, et al.
Publicado: (2018) -
3D Ear Identification Based on Sparse Representation
por: Zhang, Lin, et al.
Publicado: (2014)