z-logo
open-access-imgOpen Access
Research on the Pedestrian Re-identification Method Based on Local Features and Gait Energy Images
Author(s) -
Xinliang Tang,
Xing Sun,
Zhenzhou Wang,
Pingping Yu,
N. Cao,
Yunfeng Xu
Publication year - 2020
Publication title -
computers, materials and continua/computers, materials and continua (print)
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.788
H-Index - 40
eISSN - 1546-2226
pISSN - 1546-2218
DOI - 10.32604/cmc.2020.010283
Subject(s) - artificial intelligence , pedestrian , pattern recognition (psychology) , gait , computer vision , computer science , matching (statistics) , similarity (geometry) , identification (biology) , metric (unit) , feature (linguistics) , feature extraction , image (mathematics) , mathematics , statistics , geography , engineering , botany , biology , physiology , linguistics , operations management , philosophy , archaeology

The content you want is available to Zendy users.

Already have an account? Click here to sign in.
Having issues? You can contact us here
Accelerating Research

Address

John Eccles House
Robert Robinson Avenue,
Oxford Science Park, Oxford
OX4 4GP, United Kingdom