Visual Analysis of Behaviour (häftad)
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Format
Inbunden (Hardback)
Språk
Engelska
Antal sidor
356
Utgivningsdatum
2011-05-27
Förlag
Springer London Ltd
Medarbetare
Xiang, Tao
Illustrationer
XIX, 356 p.
Dimensioner
234 x 155 x 25 mm
Vikt
658 g
Antal komponenter
1
Komponenter
1 Hardback
ISBN
9780857296696

Visual Analysis of Behaviour

From Pixels to Semantics

av Shaogang Gong, Tao Xiang
Inbunden,  Engelska, 2011-05-27
1707
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This book presents a comprehensive treatment of visual analysis of behaviour from computational-modelling and algorithm-design perspectives. Topics: covers learning-group activity models, unsupervised behaviour profiling, hierarchical behaviour discovery, learning behavioural context, modelling rare behaviours, and man-in-the-loop active learning; examines multi-camera behaviour correlation, person re-identification, and connecting-the-dots for abnormal behaviour detection; discusses Bayesian information criterion, Bayesian networks, bag-of-words representation, canonical correlation analysis, dynamic Bayesian networks, Gaussian mixtures, and Gibbs sampling; investigates hidden conditional random fields, hidden Markov models, human silhouette shapes, latent Dirichlet allocation, local binary patterns, locality preserving projection, and Markov processes; explores probabilistic graphical models, probabilistic topic models, space-time interest points, spectral clustering, and support vector machines.
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Shaogang Gong, Tao Xiang

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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)

Innehållsförteckning

Part I: Introduction.- About Behaviour.- Behaviour in Context.- Towards Modelling Behaviour.- Part II: Single-Object Behaviour.- Understanding Facial Expression.- Modelling Gesture.- Action Recognition.- Part III: Group Behaviour.- Supervised Learning of Group Activity.- Unsupervised Behaviour Profiling.- Hierarchical Behaviour Discovery.- Learning Behavioural Context.- Modelling Rare and Subtle Behaviours.- Man in the Loop.- Part IV: Distributed Behaviour.- Multi-Camera Behaviour Correlation.- Person Re-Identification.- Connecting the Dots.- Epilogue.

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