EAN: 9780857296696

Produktdaten aktualisiert am: 14.11.2024
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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.

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