NDLI: Video face recognition via combination of real-time local features and temporal

Content Provider	IET Digital Library
Author	Gou, Gaopeng Huang, Di Wang, Yunhong
Abstract	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.
Starting Page	347
Ending Page	357
Page Count	11
ISSN	17519632
Volume Number	8
e-ISSN	17519640
Issue Number	Issue 4, Aug (2014)
Alternate Webpage(s)	https://digital-library.theiet.org/content/journals/iet-cvi/8/4
Alternate Webpage(s)	https://digital-library.theiet.org/content/journals/10.1049/iet-cvi.2013.0025
Journal	IET Computer Vision
Publisher Date	2014-01-27
Access Restriction	Open
Rights Holder	© The Institution of Engineering and Technology
Subject Keyword	Computer Vision And Image Processing Technique Dense Matching Face Description Face Recognition Image Matching Image Recognition Real-time Local Feature Recognition Performance Improvement Recognition Rate Sparse Matching Temporal-spatial Cues Video Face Database Video Face Recognition Video Signal Processing
Content Type	Text
Resource Type	Article
Subject	Computer Vision and Pattern Recognition Software

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