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Machine Learning for Vision-Based Motion Analysis: Theory and Techniques

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Machine Learning for Vision-Based Motion Analysis: Theory and Techniques - Wang, Liang (Editor), and Zhao, Guoying (Editor), and Cheng, Li (Editor)
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Techniques of vision-based motion analysis aim to detect, track, identify, and generally understand the behavior of objects in image sequences. With the growth of video data in a wide range of applications from visual surveillance to human-machine interfaces, the ability to automatically analyze and understand object motions from video footage is of increasing importance. Among the latest developments in this field is the application of statistical machine learning algorithms for object tracking, activity modeling, and ...

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Machine Learning for Vision-Based Motion Analysis: Theory and Techniques 2013, Springer London Ltd, England

ISBN-13: 9781447126072

Paperback

Machine Learning for Vision-Based Motion Analysis: Theory and Techniques 2010, Springer, London

ISBN-13: 9780857290564

Hardcover