Visual Analysis of Behaviour From Pixels to Semantics
Synopsis
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.Book details
- Edition:
- 2011
- Author:
- Shaogang Gong, Tao Xiang
- ISBN:
- 9780857296702
- Related ISBNs:
- 9780857296696
- Publisher:
- Springer London
- Pages:
- N/A
- Reading age:
- Not specified
- Includes images:
- Yes
- Date of addition:
- 2021-02-11
- Usage restrictions:
- Copyright
- Copyright date:
- 2011
- Copyright by:
- Springer London, London
- Adult content:
- No
- Language:
- English
- Categories:
- Art and Architecture, Computers and Internet, Mathematics and Statistics, Nonfiction, Social Studies