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Machine learning for human motion analysis : theory and practice /

This book highlights the development of robust and effective vision-based motion understanding systems, addressing a broad audience including practicing professionals working with specific vision applications such as surveillance, sport event analysis,

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Bibliographic Details
Corporate Authors: IGI Global
Group Author: Wang, Liang, 1975-; Cheng, Li, 1974-; Zhao, Guoying, 1977-
Published: IGI Global,
Publisher Address: Hershey, Pa. :
Publication Dates: 2010.
Literature type: eBook
Language: English
Subjects:
Computer vision.
Machine learning.
Image analysis.
Motion perception (Vision)
Human locomotion.
2D and 3D upper body tracking
Detection and classification of interacting persons
Fast categorization of articulated human motion
Graphical models for human actions
Human action recognition
Human motion tracking in video
Machine learning for motion capture
Motion analysis for video surveillance
Multi-scale people detection
Real-time recognition of human actions
Spatial patterns for real-time classification
Spatio-temporal interest points
Online Access: http://services.igi-global.com/resolvedoi/resolve.aspx?doi=10.4018/978-1-60566-900-7
Summary: This book highlights the development of robust and effective vision-based motion understanding systems, addressing a broad audience including practicing professionals working with specific vision applications such as surveillance, sport event analysis,
Carrier Form: PDFs (xvii, 299 pages) : illustrations
Bibliography: Includes bibliographical references (pages 265-285) and index.
ISBN: 9781605669014 (ebook)
1605669016 (ebook)
Access: Restricted to subscribers or individual electronic text purchasers.
Index Number: TA1634
CLC: TP391.41
Contents: Human motion tracking in video : a practical approach / Tony Tung, Takashi Matsuyama -- Learning to recognise spatio temporal interest points / Olusegun T. Oshin ... [et al.] -- Graphical models for representation and recognition of human actions / Prad

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