Journal article
Feature Selection and Pedestrian Detection Based on Sparse Representation
Abstract
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 frequently-used features, SIFT, SURF, Haar, HOG, LBP and LSS, and their comparison with experimental results, this paper screens out the sparse feature …
Authors
Yao S; Wang T; Shen W; Pan S; Chong Y; Ding F
Journal
PLOS ONE, Vol. 10, No. 8,
Publisher
Public Library of Science (PLoS)
DOI
10.1371/journal.pone.0134242
ISSN
1932-6203