Machine Learning for Human Motion Analysis: Theory and Practice

by Liang Wang, Li Cheng, Guoying Zhao

Overview

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.

Product Details

ISBN-13:	9781605669007
Publisher:	Medical Information Science Reference
Publication date:	12/31/2009
Series:	Premier Reference Source
Pages:	318
Product dimensions:	8.70(w) x 11.50(h) x 1.10(d)