Guoying Zhao

Guoying Zhao received the PhD degree in computer science from the Institute of Computing Technology, Chinese Academy of Sciences, Beijing, China in 2005. Since July 2005, she has been a Postdoctoral Research Fellow in Machine Vision Group at the University of Oulu. Her research interests include gait analysis, dynamic texture recognition, facial expression recognition, human motion analysis, and person identification. She has authored over 50 papers in journals and conferences, and has served as a reviewer for many journals and conferences. She gave an invited talk “Dynamic Texture Recognition Using Local Binary Patterns with an Application to Facial Expressions” in Institute of Computing Technology, Chinese Academy of Sciences, July 2007. With Prof. Pietikäinen, she gave a tutorial: “Local Binary Pattern Approach to Computer Vision” in 18th ICPR, Aug. 2006, Hong Kong. She is authoring/editing three books to be published (IGI or Springer). She is guest editor of the special issue New Advances in Video-based Gait Analysis and Applications: Challenges and Solutions on IEEE Transactions on Systems, Man, and Cybernetics—Part B: Cybernetics. She was a co-chair of ECCV 2008 Workshop on Machine Learning for Vision-based Motion Analysis (MLVMA), and is a co-chair of MLVMA workshop at ICCV 2009.

Publications

Machine Learning for Human Motion Analysis: Theory and Practice
Machine Learning for Human Motion Analysis: Theory and Practice
Liang Wang, Li Cheng, Guoying Zhao. © 2010. 318 pages.
With the ubiquitous presence of video data and its increasing importance in a wide range of real-world applications, it is becoming increasingly necessary to automatically...