{
"item_title" : "Machine Learning for Human Motion Analysis",
"item_author" : [" Liang Wang", "Li Cheng", "Guoying Zhao "],
"item_description" : "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.",
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Machine Learning for Human Motion Analysis : Theory and Practice
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.
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Details
- ISBN-13: 9781605669007
- ISBN-10: 1605669008
- Publisher: Medical Information Science Reference
- Publish Date: December 2009
- Dimensions: 11.5 x 8.7 x 1.1 inches
- Shipping Weight: 2.6 pounds
- Page Count: 318
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