Visual Analysis of Humans

Looking at People

  • Thomas B. Moeslund
  • Adrian Hilton
  • Volker Krüger
  • Leonid Sigal

Table of contents

  1. Front Matter
    Pages I-XXI
  2. Detection and Tracking

    1. Front Matter
      Pages 1-1
    2. Thomas B. Moeslund
      Pages 3-9
    3. Murad Al Haj, Carles Fernández, Zhanwu Xiong, Ivan Huerta, Jordi Gonzàlez, Xavier Roca
      Pages 11-30
    4. Ahmed Elgammal
      Pages 31-51
    5. Bastian Leibe
      Pages 53-70
    6. Raghuraman Gopalan, William R. Schwartz, Rama Chellappa, Ankur Srivastava
      Pages 71-90
    7. Bi Song, Ricky J. Sethi, Amit K. Roy-Chowdhury
      Pages 91-107
    8. Anna-Louise Ellis, James Ferryman
      Pages 109-128
  3. Pose Estimation

    1. Front Matter
      Pages 129-129
    2. Gerard Pons-Moll, Bodo Rosenhahn
      Pages 139-170
    3. David J. Fleet
      Pages 171-198
    4. Cristian Sminchisescu, Liefeng Bo, Catalin Ionescu, Atul Kanaujia
      Pages 225-251
    5. Mykhaylo Andriluka, Leonid Sigal, Michael J. Black
      Pages 253-275
  4. Recognition

    1. Front Matter
      Pages 277-277
    2. Aaron Bobick, Volker Krüger
      Pages 279-288
    3. Nandita M. Nayak, Ricky J. Sethi, Bi Song, Amit K. Roy-Chowdhury
      Pages 289-309
    4. Xiaogang Wang
      Pages 311-332

About this book


Understanding human activity from video is one of the central problems in the field of computer vision, driven by a wide variety of applications in communications, entertainment, security, commerce, and athletics.

This unique text/reference provides a coherent and comprehensive overview of all aspects of video analysis of humans. Broad in coverage and accessible in style, the text presents original perspectives collected from preeminent researchers gathered from across the world. In addition to presenting state-of-the-art research, the book reviews the historical origins of the different existing methods, and predicts future trends and challenges.

Topics and features:

  • With a Foreword by Professor Larry Davis of the University of Maryland Institute for Advanced Computer Studies, USA
  • Contains contributions from an international selection of leading authorities in the field
  • Includes an extensive glossary
  • Discusses the problems associated with detecting and tracking people through camera networks
  • Examines topics related to determining the time-varying 3D pose of a person from video
  • Investigates the representation and recognition of human actions
  • Reviews the most important applications of activity recognition, from biometrics and surveillance, to sports and driver assistance

With its all-encompassing scope, this essential reference will be of great value not only to graduate students in computer vision, but also to all researchers and professionals interested in systems for the visual analysis of humans.

Dr. Thomas B. Moeslund is an Associate Professor in the Department of Architecture, Design &  Media Technology at Aalborg University, Denmark. Dr. Adrian Hilton is Professor and Head of the Visual Media Research Group at the University of Surrey, Guildford, UK. Dr. Volker Krüger is an Associate Professor and Head of the Computer Vision and Machine Intelligence Laboratory at Aalborg University. Dr. Leonid Sigal is a Research Scientist at Disney Research, Pittsburgh, PA USA.


Artificial intelligence and robotics Behavior modeling Computer graphics and animation Computer vision Human motion recognition Human-computer interaction Image and video analysis Machine learning

Editors and affiliations

  • Thomas B. Moeslund
    • 1
  • Adrian Hilton
    • 2
  • Volker Krüger
    • 3
  • Leonid Sigal
    • 4
  1. 1.Department of Media TechnologyAalborg UniversityAalborgDenmark
  2. 2.Centre for Vision, Speech & Signal Proc.University of SurreyGuildfordUnited Kingdom
  3. 3.Copenhagen Institute of TechnologyAalborg UniversityBallerupDenmark
  4. 4.Disney ResearchPittsburghUSA

Bibliographic information

  • DOI
  • Copyright Information Springer-Verlag London Limited 2011
  • Publisher Name Springer, London
  • eBook Packages Computer Science
  • Print ISBN 978-0-85729-996-3
  • Online ISBN 978-0-85729-997-0
  • Buy this book on publisher's site