Visual Analysis of Behaviour - From Pixels to Semantics (Paperback, 2011 ed.)

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.

General

Imprint:	Springer London
Country of origin:	United Kingdom
Release date:	August 2014
First published:	2011
Authors:	Shaogang Gong • Tao Xiang
Dimensions:	235 x 155 x 20mm (L x W x T)
Format:	Paperback
Pages:	356
Edition:	2011 ed.
ISBN-13:	978-1-4471-6124-0
Categories:	Books > Social sciences > General Books > Computing & IT > General theory of computing > Mathematical theory of computation Books > Computing & IT > Applications of computing > Pattern recognition Books > Science & Mathematics > Mathematics > Applied mathematics > Mathematics for scientists & engineers Books > Computing & IT > Applications of computing > Artificial intelligence > Computer vision Books > Computing & IT > Applications of computing > Image processing > General Promotions
LSN:	1-4471-6124-6
Barcode:	9781447161240

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