@inproceedings{5c37b678773f4017a3b6b1ea5cac964c,
title = "Video-based face recognition: State of the art",
abstract = "Face recognition in videos is a hot topic in computer vision and biometrics over many years. Compared to traditional face analysis, video based face recognition has advantages of more abundant information to improve accuracy and robustness, but also suffers from large scale variations, low quality of facial images, illumination changes, pose variations and occlusions. Related to applications, we divide the existing video based face recognition approaches into two categories: video-image based methods and video-video based methods, which are surveyed and analyzed in this paper.",
keywords = "Face recognition, survey, video",
author = "Zhaoxiang Zhang and Chao Wang and Yunhong Wang",
year = "2011",
doi = "10.1007/978-3-642-25449-9\_1",
language = "英语",
isbn = "9783642254482",
series = "Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)",
pages = "1--9",
booktitle = "Biometric Recognition - 6th Chinese Conference, CCBR 2011, Proceedings",
note = "6th Chinese Conference on Biometric Recognition, CCBR 2011 ; Conference date: 03-12-2011 Through 04-12-2011",
}