Open AccessVideo face recognition via combination of real‐time local features and temporal–spatial cues
Author(s) -
Gou Gaopeng,
Huang Di,
Wang Yunhong
Publication year - 2014
Publication title -
iet computer vision
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.38
H-Index - 37
eISSN - 1751-9640
pISSN - 1751-9632
DOI - 10.1049/iet-cvi.2013.0025
Subject(s) - computer science , artificial intelligence , facial recognition system , face (sociological concept) , computer vision , pattern recognition (psychology) , frame rate , social science , sociology
Video‐based face recognition has attracted much attention and made great progress in the past decade. However, it still encounters two main problems, which are efficiently representing faces in frames and sufficiently exploiting temporal–spatial constraints between frames. The authors investigate the existing real‐time features for face description, and compare their performance. Moreover, a novel approach is proposed to model temporal–spatial information which is then combined with real‐time features to further enforce the consistent constraints between frames to improve the recognition performance. The experiments are validated on three video face databases and the results demonstrate that temporal–spatial cues combined with the most powerful real‐time features largely improve the recognition rate.