| 书目名称 | Visual Analysis of Behaviour | | 副标题 | From Pixels to Seman | | 编辑 | Shaogang Gong,Tao Xiang | | 视频video | | | 概述 | Presents a comprehensive and unified treatment of visual analysis of behaviour from computational-modelling and algorithm-design perspectives.Provides analysis of current benchmarking databases and co | | 图书封面 |  | | 描述 | 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. | | 出版日期 | Book 2011 | | 关键词 | Activity Recognition; Bayesian Networks; Biometrics; Facial Expression Modelling; Gait Recognition; Multi | | 版次 | 1 | | doi | https://doi.org/10.1007/978-0-85729-670-2 | | isbn_softcover | 978-1-4471-6124-0 | | isbn_ebook | 978-0-85729-670-2 | | copyright | Springer-Verlag London Limited 2011 |
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发表于 2025-3-21 19:58:35
