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Visual Analysis of Behaviour

Shaogang Gong, Tao Xiang
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      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: CONTRIBUTORS: Shaogang Gong, Tao Xiang EAN: 9780857296696 COUNTRY: United Kingdom PAGES: WEIGHT: 729 g HEIGHT: 235 cm
      PUBLISHED BY: Springer London Ltd DATE PUBLISHED: 2011-05-27 CITY: GENRE: COMPUTERS / Software Development & Engineering / Computer Graphics, COMPUTERS / Artificial Intelligence / Computer Vision & Pattern Recognition, COMPUTERS / Mathematical & Statistical Software WIDTH: 155 cm SPINE:

      Book Themes:

      Society and Social Sciences, Sociology, Probability and statistics, Maths for computer scientists, Pattern recognition, Computer vision, Image processing

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      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: CONTRIBUTORS: Shaogang Gong, Tao Xiang EAN: 9780857296696 COUNTRY: United Kingdom PAGES: WEIGHT: 729 g HEIGHT: 235 cm
      PUBLISHED BY: Springer London Ltd DATE PUBLISHED: 2011-05-27 CITY: GENRE: COMPUTERS / Software Development & Engineering / Computer Graphics, COMPUTERS / Artificial Intelligence / Computer Vision & Pattern Recognition, COMPUTERS / Mathematical & Statistical Software WIDTH: 155 cm SPINE:

      Book Themes:

      Society and Social Sciences, Sociology, Probability and statistics, Maths for computer scientists, Pattern recognition, Computer vision, Image processing

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