Machine Learning for Human Motion Analysis: Theory and Practice

By Li Cheng, Guoying Zhao, Liang Wang

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.

• Format: Hardcover
• Language: English
• ISBN: 1605669008
• ISBN13: 9781605669007
• Release Date: December 2009
• Publisher: Medical Information Science Reference
• Length: 318 Pages
• Weight: 2.60 lbs.
• Dimensions: 1.1" x 8.7" x 11.5"