Visual Analysis of Behaviour: From Pixels to Semantics

by Tao Xiang and Shaogang Gong

Book Overview

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.

• Format: Hardcover
• Language: English
• ISBN: 0857296698
• ISBN13: 9780857296696
• Release Date: May 2011
• Publisher: Springer
• Length: 356 Pages
• Weight: 1.45 lbs.
• Dimensions: 1.0" x 6.1" x 9.2"