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2018 | OriginalPaper | Chapter

Image-Set Based Collaborative Representation for Face Recognition in Videos

Authors : Gaopeng Gou, Junzheng Shi, Gang Xiong, Peipei Fu, Zhen Li, Zhenzhen Li

Published in: Advances in Multimedia Information Processing – PCM 2017

Publisher: Springer International Publishing

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Abstract

Video-based face recognition has become one of the hottest topics in the domain of face recognition because it has a wide range of applications in multi-media processing conference, human-computer interaction, judicature identification, video surveillance, and entrance controlling, etc. Methods of video based face recognition could be divided to be two main aspects: the models used to represent the individual image sets; and the similarity metric used to compare the models. Based on image-set based object classification methods, we present an image-set based on collaborative representation based classification (SCRC) method for face recognition in videos. Firstly, the query face video is divided to be many sub sets. Secondly, every sub set is represented by the collaborative representation based classification. Finally, we combine the recognition results of sub sets to be a final classification. Experiments test on three public video face datasets, the experimental results demonstrate that the proposed SCRC method can be able to outperform a number of existing state-of-the-art ones.

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Metadata
Title
Image-Set Based Collaborative Representation for Face Recognition in Videos
Authors
Gaopeng Gou
Junzheng Shi
Gang Xiong
Peipei Fu
Zhen Li
Zhenzhen Li
Copyright Year
2018
Book
Advances in Multimedia Information Processing – PCM 2017

Print ISBN: 978-3-319-77382-7

Electronic ISBN: 978-3-319-77383-4

Copyright Year: 2018

DOI
https://doi.org/10.1007/978-3-319-77383-4_49