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003 - CONTROL NUMBER IDENTIFIER |
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OSt |
005 - DATE AND TIME OF LATEST TRANSACTION |
control field |
20140310151109.0 |
007 - PHYSICAL DESCRIPTION FIXED FIELD--GENERAL INFORMATION |
fixed length control field |
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008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION |
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110525s2011 xxk| s |||| 0|eng d |
020 ## - INTERNATIONAL STANDARD BOOK NUMBER |
International Standard Book Number |
9780857296702 |
|
978-0-85729-670-2 |
050 #4 - LIBRARY OF CONGRESS CALL NUMBER |
Classification number |
T385 |
|
Classification number |
TA1637-1638 |
|
Classification number |
TK7882.P3 |
082 04 - DEWEY DECIMAL CLASSIFICATION NUMBER |
Classification number |
006.6 |
Edition number |
23 |
264 #1 - |
-- |
London : |
-- |
Springer London : |
-- |
Imprint: Springer, |
-- |
2011. |
912 ## - |
-- |
ZDB-2-SCS |
100 1# - MAIN ENTRY--PERSONAL NAME |
Personal name |
Gong, Shaogang. |
Relator term |
author. |
245 10 - IMMEDIATE SOURCE OF ACQUISITION NOTE |
Title |
Visual Analysis of Behaviour |
Medium |
[electronic resource] : |
Remainder of title |
From Pixels to Semantics / |
Statement of responsibility, etc |
by Shaogang Gong, Tao Xiang. |
300 ## - PHYSICAL DESCRIPTION |
Extent |
XIX, 356p. 131 illus., 101 illus. in color. |
Other physical details |
online resource. |
505 0# - FORMATTED CONTENTS NOTE |
Formatted contents note |
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. |
520 ## - SUMMARY, ETC. |
Summary, etc |
Demand continues to grow worldwide, from both government and commerce, for technologies capable of automatically selecting and identifying object and human behaviour. This accessible text/reference presents a comprehensive and unified treatment of visual analysis of behaviour from computational-modelling and algorithm-design perspectives. The book provides in-depth discussion on computer vision and statistical machine learning techniques, in addition to reviewing a broad range of behaviour modelling problems. A mathematical background is not required to understand the content, although readers will benefit from modest knowledge of vectors and matrices, eigenvectors and eigenvalues, linear algebra, optimisation, multivariate analysis, probability, statistics and calculus. Topics and features: Provides a thorough introduction to the study and modelling of behaviour, and a concluding epilogue Covers learning-group activity models, unsupervised behaviour profiling, hierarchical behaviour discovery, learning behavioural context, modelling rare behaviours, and “man-in-the-loop” active learning of behaviours Examines multi-camera behaviour correlation, person re-identification, and “connecting-the-dots” for global abnormal behaviour detection Discusses Bayesian information criterion, static Bayesian graph models, “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 Includes a helpful list of acronyms A valuable resource for both researchers in computer vision and machine learning, and for developers of commercial applications, the book can also serve as a useful reference for postgraduate students of computer science and behavioural science. Furthermore, policymakers and commercial managers will find this an informed guide on intelligent video analytics systems. Dr. Shaogang Gong is a Professor of Visual Computation in the School of Electronic Engineering and Computer Science at Queen Mary University of London, UK. Dr. Tao Xiang is a Lecturer at the same institution. |
650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM |
Topical term or geographic name as entry element |
Computer science. |
|
Topical term or geographic name as entry element |
Computer vision. |
|
Topical term or geographic name as entry element |
Optical pattern recognition. |
|
Topical term or geographic name as entry element |
Biometrics. |
|
Topical term or geographic name as entry element |
Social sciences. |
|
Topical term or geographic name as entry element |
Computer Science. |
|
Topical term or geographic name as entry element |
Computer Imaging, Vision, Pattern Recognition and Graphics. |
|
Topical term or geographic name as entry element |
Image Processing and Computer Vision. |
|
Topical term or geographic name as entry element |
Biometrics. |
|
Topical term or geographic name as entry element |
Pattern Recognition. |
|
Topical term or geographic name as entry element |
Probability and Statistics in Computer Science. |
|
Topical term or geographic name as entry element |
Social Sciences, general. |
700 1# - ADDED ENTRY--PERSONAL NAME |
Personal name |
Xiang, Tao. |
Relator term |
author. |
710 2# - ADDED ENTRY--CORPORATE NAME |
Corporate name or jurisdiction name as entry element |
SpringerLink (Online service) |
773 0# - HOST ITEM ENTRY |
Title |
Springer eBooks |
776 08 - ADDITIONAL PHYSICAL FORM ENTRY |
Display text |
Printed edition: |
International Standard Book Number |
9780857296696 |
856 40 - ELECTRONIC LOCATION AND ACCESS |
Uniform Resource Identifier |
http://dx.doi.org/10.1007/978-0-85729-670-2 |
942 ## - ADDED ENTRY ELEMENTS (KOHA) |
Source of classification or shelving scheme |
|
Item type |
E-Book |