Machine Learning for Human Motion Analysis: Theory and Practice

Machine Learning for Human Motion Analysis: Theory and Practice

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2009 · Английский · Kindle · Изданий: 2
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Описание

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.

Детали книги

Формат Kindle
Страницы 318 страниц
Язык Английский
Опубликовано дек 31, 2009
Издатель Medical Information Science Reference
Издания Изданий: 2
ISBN-10 1605669016
ISBN-13 9781605669014
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