Buch, Englisch, 356 Seiten, Format (B × H): 160 mm x 241 mm, Gewicht: 729 g
From Pixels to Semantics
Buch, Englisch, 356 Seiten, Format (B × H): 160 mm x 241 mm, Gewicht: 729 g
ISBN: 978-0-85729-669-6
Verlag: Springer
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.
Zielgruppe
Research
Autoren/Hrsg.
Fachgebiete
- Sozialwissenschaften Psychologie Allgemeine Psychologie Biologische Psychologie, Neuropsychologie
- Sozialwissenschaften Psychologie Allgemeine Psychologie Sozialpsychologie
- Mathematik | Informatik EDV | Informatik Informatik Künstliche Intelligenz Maschinelles Lernen
- Mathematik | Informatik EDV | Informatik Informatik Künstliche Intelligenz Computer Vision
- Mathematik | Informatik EDV | Informatik Informatik Künstliche Intelligenz Mustererkennung, Biometrik
Weitere Infos & Material
Part 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
