A Benchmark and Comparative Study of Video-Based Face Recognition on COX Face Database

doi:10.1109/TIP.2015.2493448

CORC > 计算技术研究所 > 中国科学院计算技术研究所 > 中国科学院计算技术研究所期刊论文 > 英文

	A Benchmark and Comparative Study of Video-Based Face Recognition on COX Face Database
	Huang, Zhiwu 4; Shan, Shiguang 3,4; Wang, Ruiping 4; Zhang, Haihong 2; Lao, Shihong 1; Kuerban, Alifu 5; Chen, Xilin 4
刊名	IEEE TRANSACTIONS ON IMAGE PROCESSING
	2015-12-01
卷号	24 期号:12 页码:15
关键词	Video-based face recognition video-to-still still-to-video video-to-video COX Face DB benchmarking point-to-set correlation learning
ISSN号	1057-7149
DOI	10.1109/TIP.2015.2493448
英文摘要	Face recognition with still face images has been widely studied, while the research on video-based face recognition is inadequate relatively, especially in terms of benchmark datasets and comparisons. Real-world video-based face recognition applications require techniques for three distinct scenarios: 1) Video-to-Still (V2S); 2) Still-to-Video (S2V); and 3) Video-to-Video (V2V), respectively, taking video or still image as query or target. To the best of our knowledge, few datasets and evaluation protocols have benchmarked for all the three scenarios. In order to facilitate the study of this specific topic, this paper contributes a benchmarking and comparative study based on a newly collected still/video face database, named COX1 Face DB. Specifically, we make three contributions. First, we collect and release a largescale still/video face database to simulate video surveillance with three different video-based face recognition scenarios (i.e., V2S, S2V, and V2V). Second, for benchmarking the three scenarios designed on our database, we review and experimentally compare a number of existing set-based methods. Third, we further propose a novel Point-to-Set Correlation Learning (PSCL) method, and experimentally show that it can be used as a promising baseline method for V2S/S2V face recognition on COX Face DB. Extensive experimental results clearly demonstrate that video-based face recognition needs more efforts, and our COX Face DB is a good benchmark database for evaluation.
资助项目	973 Program[2015CB351802] ; Natural Science Foundation of China[61390511] ; Natural Science Foundation of China[61173065] ; Natural Science Foundation of China[61222211] ; Natural Science Foundation of China[61379083]
WOS研究方向	Computer Science ; Engineering
语种	英语
出版者	IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
WOS记录号	WOS:000365022400002
内容类型	期刊论文
源URL	[http://119.78.100.204/handle/2XEOYT63/9185]
专题	中国科学院计算技术研究所期刊论文_英文
通讯作者	Huang, Zhiwu
作者单位	1.OMRON Corp, Core Technol Ctr, Kyoto 6190283, Japan 2.OMRON Social Solut Co Ltd, Kyoto 6190225, Japan 3.CAS Ctr Excellence Brain Sci & Intelligence Techn, Shanghai 200031, Peoples R China 4.Chinese Acad Sci, Inst Comp Technol, Key Lab Intelligent Informat Proc, Beijing 100190, Peoples R China 5.Xinjiang Univ, Coll Informat Sci & Engn, Xinjiang 830046, Peoples R China
推荐引用方式 GB/T 7714	Huang, Zhiwu,Shan, Shiguang,Wang, Ruiping,et al. A Benchmark and Comparative Study of Video-Based Face Recognition on COX Face Database[J]. IEEE TRANSACTIONS ON IMAGE PROCESSING,2015,24(12):15.
APA	Huang, Zhiwu.,Shan, Shiguang.,Wang, Ruiping.,Zhang, Haihong.,Lao, Shihong.,...&Chen, Xilin.(2015).A Benchmark and Comparative Study of Video-Based Face Recognition on COX Face Database.IEEE TRANSACTIONS ON IMAGE PROCESSING,24(12),15.
MLA	Huang, Zhiwu,et al."A Benchmark and Comparative Study of Video-Based Face Recognition on COX Face Database".IEEE TRANSACTIONS ON IMAGE PROCESSING 24.12(2015):15.