Overview
- Presents a comprehensive and unified treatment of visual analysis of behaviour from computational-modelling and algorithm-design perspectives
- Provides analysis of current benchmarking databases and commercial systems
- Includes a helpful list of acronyms
- Includes supplementary material: sn.pub/extras
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Table of contents (15 chapters)
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Front Matter
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Introduction
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Front Matter
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Single-Object Behaviour
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Front Matter
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Distributed Behaviour
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Front Matter
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Keywords
About this book
Reviews
From the reviews:
“The book aims to describe, analyze, and present the problem of visual analysis of behaviour of objects, with an emphasis on behaviour of people. I have thoroughly enjoyed going through the book and find it a strong contribution to the area of computer vision and automated visual analysis. … The book is well suited for academics and researchers … and would be a great resource for implementing any of the algorithms described therein.” (Elena Corina Grigore, Perception, Vol. 42, 2013)
“This book presents a comprehensive introduction to algorithms and methodologies for representing, learning, recognizing, interpreting and predicting human behaviour, on the basis of visual data. Examples of human behaviour are given by facial expression, body gesture and human action. The book is mainly intended for readers interested in applications in the fields of visual surveillance, video indexing and search, robotics and healthcare, interaction, animation and computer games.” (Patrizio Frosini, Zentralblatt MATH, Vol. 1238, 2012)Authors and Affiliations
Bibliographic Information
Book Title: Visual Analysis of Behaviour
Book Subtitle: From Pixels to Semantics
Authors: Shaogang Gong, Tao Xiang
DOI: https://doi.org/10.1007/978-0-85729-670-2
Publisher: Springer London
eBook Packages: Computer Science, Computer Science (R0)
Copyright Information: Springer-Verlag London Limited 2011
Hardcover ISBN: 978-0-85729-669-6Published: 27 May 2011
Softcover ISBN: 978-1-4471-6124-0Published: 31 August 2014
eBook ISBN: 978-0-85729-670-2Published: 26 May 2011
Edition Number: 1
Number of Pages: XIX, 356
Topics: Computer Imaging, Vision, Pattern Recognition and Graphics, Image Processing and Computer Vision, Biometrics, Pattern Recognition, Probability and Statistics in Computer Science, Social Sciences, general