Machine learning for human motion analysis

theory and practice

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Last edited by ImportBot
September 17, 2024 | History

Machine learning for human motion analysis

theory and practice

"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.

Publish Date
Language
English
Pages
299

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Previews available in: English

Edition Availability
Cover of: Machine learning for human motion analysis
Machine learning for human motion analysis: theory and practice
2010, Medical Information Science Reference
in English

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Book Details


Table of 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.

Edition Notes

Includes bibliographical references (p. 265-285) and index.

Published in
Hershey, PA

Classifications

Dewey Decimal Class
006.3/7
Library of Congress
TA1634 .M3153 2010

The Physical Object

Pagination
xvii, 299 p. :
Number of pages
299

ID Numbers

Open Library
OL24562539M
Internet Archive
machinelearningf00wang
ISBN 10
1605669008, 1605669016
ISBN 13
9781605669007, 9781605669014
LCCN
2009047277
OCLC/WorldCat
406133107

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Download catalog record: RDF / JSON
September 17, 2024 Edited by ImportBot import existing book
January 3, 2011 Created by ImportBot initial import