Visual Analysis of Behaviour
From Pixels to Semantics
(Sprache: Englisch)
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,...
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Produktinformationen zu „Visual Analysis of Behaviour “
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.
Klappentext zu „Visual Analysis of Behaviour “
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.
Inhaltsverzeichnis zu „Visual Analysis of Behaviour “
Part I: IntroductionAbout 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
Bibliographische Angaben
- Autoren: Shaogang Gong , Tao Xiang
- 2011, XIX, 356 Seiten, Maße: 16 x 24,1 cm, Gebunden, Englisch
- Verlag: Springer, Berlin
- ISBN-10: 0857296698
- ISBN-13: 9780857296696
Sprache:
Englisch
Rezension zu „Visual Analysis of Behaviour “
From the reviews:"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)
Pressezitat
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)
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