Machine learning for human motion analysis theory and practice

Başlık:

ISBN:

9781605669014

Yayın Bilgileri:

Hershey, Pa. : IGI Global (701 E. Chocolate Avenue, Hershey, Pennsylvania, 17033, USA), c2010.

Fiziksel Tanımlama:

electronic texts (xvii, 299 p. : ill.) : digital files.

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 / Pradeep Natarajan, Ramakant Nevatia -- Common spatial patterns for real-time classification of human actions / Ronald Poppe -- KSM based machine learning for markless motion capture / Therdsak Tangkuampies, David Suter -- Multi-scale people detection and motion analysis for video surveillance / YingLi Tian ... [et al.] -- A generic framework for 2D and 3D upper body tracking / Lei Zhang -- Real-time recognition of basic human actions / Vassilis Syrris -- Fast categorisation of articulated human motion / Konrad Schindler, Luc van Gool -- Human action recognition with expandable graphical models / Wanqing Li ... [et al.] -- Detection and classification of interacting persons / Scott Blunsden, Robert Fisher -- Action Recognition / Qingdi Wei, Xiaoqin Zhang, Weiming Hu -- Distillation : a super-resolution approach for the selective analysis of noisy and unconstrained video sequences / Dong Seon Cheng, Marco Cristani, Vittorio Murino.

Abstract:

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, healthcare, video conferencing, and motion video indexing and retrieval.

Subject Term:

Computer vision.

Machine learning.

Image analysis.

Motion perception (Vision)

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