Overview
- The first coherent and comprehensive overview of video analysis of humans
- Surveys the state of the art, reviews past research, and discusses future trends and challenges
- Includes an extensive glossary
- With a Foreword by Professor Larry Davis of the University of Maryland, USA
- Includes supplementary material: sn.pub/extras
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About this book
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.
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Table of contents (30 chapters)
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Front Matter
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Detection and Tracking
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Front Matter
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Recognition
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Front Matter
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Reviews
From the reviews:
“This book is a collection of 30 scientific papers organized in four parts. The topics that are reviewed in this book are mainly people and face detection, pose estimation, tracking and activity recognition. The book covers a broad domain making the book appealing to not only graduate students in the computer vision field, but also scholars and researchers.” (Norberto Goussies, IAPR Newsletter, Vol. 35 (3), July, 2013)Editors and Affiliations
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Bibliographic Information
Book Title: Visual Analysis of Humans
Book Subtitle: Looking at People
Editors: Thomas B. Moeslund, Adrian Hilton, Volker Krüger, Leonid Sigal
DOI: https://doi.org/10.1007/978-0-85729-997-0
Publisher: Springer London
eBook Packages: Computer Science, Computer Science (R0)
Copyright Information: Springer-Verlag London Limited 2011
Hardcover ISBN: 978-0-85729-996-3Published: 09 October 2011
Softcover ISBN: 978-1-4471-5914-8Published: 30 November 2013
eBook ISBN: 978-0-85729-997-0Published: 08 October 2011
Edition Number: 1
Number of Pages: XXII, 634
Topics: Image Processing and Computer Vision, Pattern Recognition