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008			110525s2011 xxk| s |||| 0|eng d
020			_a9780857296702 _9978-0-85729-670-2
040			_cMX-MeUAM
050		4	_aT385
050		4	_aTA1637-1638
050		4	_aTK7882.P3
082	0	4	_a006.6 _223
100	1		_aGong, Shaogang. _eauthor.
245	1	0	_aVisual Analysis of Behaviour _h[recurso electrónico] : _bFrom Pixels to Semantics / _cby Shaogang Gong, Tao Xiang.
264		1	_aLondon : _bSpringer London : _bImprint: Springer, _c2011.
300			_aXIX, 356 p. _bonline resource.
336			_atext _btxt _2rdacontent
337			_acomputer _bc _2rdamedia
338			_aonline resource _bcr _2rdacarrier
347			_atext file _bPDF _2rda
505	0		_aPart 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			_aDemand 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	_aComputer science.
650		0	_aComputer vision.
650		0	_aOptical pattern recognition.
650		0	_aBiometrics.
650		0	_aSocial sciences.
650	1	4	_aComputer Science.
650	2	4	_aComputer Imaging, Vision, Pattern Recognition and Graphics.
650	2	4	_aImage Processing and Computer Vision.
650	2	4	_aBiometrics.
650	2	4	_aPattern Recognition.
650	2	4	_aProbability and Statistics in Computer Science.
650	2	4	_aSocial Sciences, general.
700	1		_aXiang, Tao. _eauthor.
710	2		_aSpringerLink (Online service)
773	0		_tSpringer eBooks
776	0	8	_iPrinted edition: _z9780857296696
856	4	0	_zLibro electrónico _uhttp://148.231.10.114:2048/login?url=http://link.springer.com/book/10.1007/978-0-85729-670-2
596			_a19
942			_cLIBRO_ELEC
999			_c198493 _d198493