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Visual Analysis of Humans

Looking at People

By Thomas B. Moeslund , Adrian Hilton , Volker Kr├╝ger , Leonid Sigal

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Understanding human activity from video is a key problem in the field of computer vision. With broad coverage and an accessible style, this unique reference is a coherent and comprehensive view of all aspects of the video analysis of humans and their actions.

Full Description

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  • ISBN13: 978-0-8572-9996-3
  • 653 Pages
  • User Level: Science
  • Publication Date: October 8, 2011
  • Available eBook Formats: PDF
Full Description
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. Features: with a Foreword by Professor Larry Davis; 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 and vehicular actions; reviews the most important applications of activity recognition, from biometrics and surveillance, to sports and driver assistance.
Table of Contents

Table of Contents

  1. Part I: Detection and Tracking.
  2. Is There Anybody Out There?
  3. Beyond the Static Camera: Issues and Trends in Active Vision.
  4. Figure
  5. Ground Segmentation: Pixel
  6. Based: Figure
  7. Ground Segmentation: Object Based.
  8. Face Detection.
  9. Wide Area Tracking in Single and Multiple Views.
  10. Benchmark Datasets for Detection and Tracking.
  11. Part II: Pose Estimation.
  12. Articulated Pose Estimation and Tracking: Introduction.
  13. Model
  14. based Pose Estimation.
  15. Motion Models for People Tracking.
  16. Part
  17. based Models for Finding People and Estimating Their Pose.
  18. Feature
  19. based Pose Estimation.
  20. Benchmark Datasets for Pose Estimation and Tracking.
  21. Part III: Recognition.
  22. On Human Action.
  23. Motion Pattern Analysis for Modeling and Recognition of Complex Human Activities.
  24. Action Recognition Using Topic Models.Learning Action Primitives.
  25. Contextual Action Recognition.
  26. Facial Expression Analysis.
  27. Part IV: Applications.
  28. Applications for Visual Analysis of People.
  29. Image and Video
  30. based Biometrics.
  31. Security and Surveillance.
  32. Predicting Pedestrian Trajectories.
  33. Human Computer Interaction.
  34. Social Signal Processing: The Research Agenda.
  35. Sign Language Recognition.
  36. Sports TV Applications of Computer Vision.
  37. Multi
  38. view 4D Reconstruction of Human Action for Entertainment.
  39. Vision for Driver Assistance: Looking at People in a Vehicle.

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