Appearance-based person reidentification in camera networks: problem overview and current approaches
Author:
Publisher
Springer Science and Business Media LLC
Subject
General Computer Science
Link
http://link.springer.com/content/pdf/10.1007/s12652-010-0034-y.pdf
Reference94 articles.
1. Amit Y, Kong A (1996) Graphical templates for model registration. IEEE Trans Pattern Anal Mach Intell 18(3):225–236
2. Bak S, Corvee E, BrTmond F, Thonnat M (2010a) Person re-identification using spatial covariance regions of human body parts. In: Proceedings of IEEE international conference on video and signal based surveillance
3. Bak S, Corvee E, BrTmond F, Thonnat T (2010b) Person re-identification using haar-based and dcd-based signature. In: Proceedings of the workshop on activity monitoring by multi-camera surveillance systems
4. Bäuml M, Bernardin K, Fischer M, Ekenel HK (2010) Multi-pose face recognition for person retrieval in camera networks. In: Proceedings of IEEE international conference on video and signal based surveillance
5. Bay H, Ess A, Tuytelaars T, Van Goo L (2008) Surf: Speeded up robust features. Comput Vis Image Underst 110(3):346–359
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