TNTGroup-CRIPAC

Institute of Automation, Chinese Academy of Sciences(CASIA)

Tieniu Tan received his B.Sc. degree in electronic engineering from Xi'an Jiaotong University, China, in 1984, and his M.Sc. and Ph.D. degrees in electronic engineering from Imperial College of Science, Technology and Medicine, London, U.K., in 1986 and 1989, respectively.

Dr Tan is a Fellow of the IEEE and the IAPR. He has served as chair or program committee member for many major national and international conferences. He is or has served as Associate Editor or member of editorial boards of many leading international journals including IEEE TPAMI, TIFS and so on. He is the Founding Chair of the IAPR Technical Committee on Biometrics, founding chair of the IAPR/IEEE International Conference on Biometrics and the IEEE International Workshop on Visual Surveillance. He is member of the IEEE Nominations & Appointments Committee and the IAPR Conferences & Meetings Committee. He has published more than 300 research papers in refereed journals and conferences in the areas of image processing, computer vision and pattern recognition, and has authored or edited 9 books. He holds more than 20 patents. His current research interests include biometrics, image and video understanding, and information forensics and security.

The Center for Research on Intelligent Perception and Computing, founded in 1998 by Prof. Tieniu Tan, is subordinated to NLPR (National Laboratory of Pattern Recognition). It has 18 research faculties, 11 project staffs and more than 40 students at present. The group has broad interests in computer vision and pattern recognition, especially in the following domains:

1. Intelligent visual computing
2. Intelligent video surveillance
3. Biometric acquisition and recognition
4. Cyber data understanding and security

The group consistently pursues high quality theoretical research and related practical applications. It has published more than 400 journal and conference papers, and released many research databases such as iris, gait, human action and tampered image detection. It won the champion of NICE. I & II (Noisy Iris Challenge Evaluation in 2009 and 2010), and ranked first and second in the PASCAL VOC 2010 on image object detection and image object classification, respectively. Meanwhile, many theoretical results have been successfully applied to public service, e.g., iris based human identity recognition, intelligent surveillance for resident communities, subway systems and the Olympic Games.The group is currently undertaking significant research projects funded by the Chinese government and industrial companies.

zhangman@nlpr.ia.ac.cn