Machine Learning for Human Motion Analysis: Theory and Practice, 1st Edition

  • Published By:
  • ISBN-10: 1605669016
  • ISBN-13: 9781605669014
  • DDC: 006.3
  • Grade Level Range: College Freshman - College Senior
  • 312 Pages | eBook
  • Original Copyright 2009 | Published/Released June 2010
  • This publication's content originally published in print form: 2009

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Table of Contents

Front Cover.
Title Page.
Copyright Page.
Editorial Advisory Board.
List of Reviewers.
Table of Contents.
Detailed Table of Contents.
Preface.
Acknowledgment.
1: Human Motion Tracking in Video: A Practical Approach.
2: Learning to Recognise Spatio - Temporal Interest Points.
3: Graphical Models for Representation and Recognition of Human Actions.
4: Common Spatial Patterns for Real-Time Classification of Human Actions.
5: KSM Based Machine Learning for Markerless Motion Capture.
6: Multi-Scale People Detection and Motion Analysis for Video Surveillance.
7: A Generic Framework for 2D and 3D Upper Body Tracking.
8: Real–Time Recognition of Basic Human Actions.
9: Fast Categorisation of Articulated Human Motion.
10: Human Action Recognition with Expandable Graphical Models.
11: Detection and Classifcation of Interacting Persons.
12: Action Recognition.
13: Distillation: A Super – Resolution Approach for the Selective Analysis of Noisy and Unconstrained Video Sequences.
Compilation of References.
About the Contributors.
Index.