Machine learning for human motion analysis
Subtitle: theory and practice
By: [edited by] Liang Wang, Li Cheng, Guoying Zhao
Publisher: Medical Information Science Reference
Published: 2010
Place of publication: Hershey, PA
Language: eng
Number of pages: 299
ISBN-13: 9781605669007; 9781605669014
Description: "This book highlights the development of robust and effective vision-based motion understanding systems, addressing specific vision applications such as surveillance, sport event analysis, healthcare, video conferencing, and motion video indexing and retrieval"--Provided by publisher.
Notes: Includes bibliographical references (p. 265-285) and index.
Table of contents: title: Human motion tracking in video : a practical approach / Tony Tung, Takashi Matsuyama; title: Learning to recognise spatio : temporal interest points / Olusegun T. Oshin ... [et al.]; title: Graphical models for representation and recognition of human actions / Pradeep Natarajan, Ramakant Nevatia; title: Common spatial patterns for real-time classification of human actions / Ronald Poppe; title: KSM based machine learning for markless motion capture / Therdsak Tangkuampies, David Suter; title: Multi-scale people detection and motion analysis for video surveillance / YingLi Tian ... [et al.]; title: A generic framework for 2D and 3D upper body tracking / Lei Zhang; title: Real-time recognition of basic human actions / Vassilis Syrris; title: Fast categorisation of articulated human motion / Konrad Schindler, Luc van Gool; title: Human action recognition with expandable graphical models / Wanqing Li ... [et al.]; title: Detection and classification of interacting persons / Scott Blunsden, Robert Fisher; title: Action Recognition / Qingdi Wei, Xiaoqin Zhang, Weiming Hu; title: Distillation : a super-resolution approach for the selective analysis of noisy and unconstrained video sequences / Dong Seon Cheng, Marco Cristani, Vittorio Murino.