Machine Learning for Human Motion Analysis : Theory and Practice
Language: English
Published by Medical Information Science Reference, 2009
- Hardcover
- New
Seller: AHA-BUCH GmbH, Einbeck, GermanyAHA-BUCH GmbH
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US$ 289.69
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Add to basketItem description from seller
nach der Bestellung gedruckt Neuware - Printed after ordering - 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 analyze and interpret object motions from large quantities of footage. Machine Learning for Human Motion Analysis: Theory and Practice highlights the development of robust and effective vision-based motion understanding systems. This advanced publication addresses a broad audience including practicing professionals working with specific vision applications such as surveillance, sport event analysis, healthcare, video conferencing, and motion video indexing and retrieval.
Seller Inventory # 9781605669007
- Title
- Machine Learning for Human Motion Analysis : Theory and Practice
- Author
- Guoying Zhao
- Publisher
- Medical Information Science Reference
- Publication year
- 2009
- Condition
- Neu
- Binding
- Buch
- Language
- English
- ISBN 10
- 1605669008
- ISBN 13
- 9781605669007
- Item weight
- 1,063 grams
- Dimensions
- 286x221x22 mm
"Synopsis" may belong to another edition of this title.
About the Author
Li Cheng received the BS degree from Jilin University, China, the ME degree from Nankai University, and the PhD degree from the Department of Computing Science, University of Alberta, Canada, in 2004. He worked as a research associate in the same department at the University of Alberta, and now he is with the Machine Learning group, NICTA Australia, and TTI-Chicago USA as a PostDoc. He has published about 25 research papers. Together with A. Smola and M. Hutter, he co-organized a machine learning summer school. His research interests are mainly on image and video understanding, computer vision and machine learning.
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.
"About the title" may belong to another edition of this title.
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