Visual Analysis of Behaviour : From Pixels to Semantics （2011）

Gong, Shaogang/ Xiang, Tao

Springer London Ltd（2014/08発売）

• 製本 Paperback:紙装版/ペーパーバック版／ページ数 356 p.
• 言語 ENG
• 商品コード 9781447161240
• DDC分類 006

Full Description

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.

Contents

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.