Machine Learning Methods for Behaviour Analysis and Anomaly Detection in Video
This thesis proposes machine learning methods for understanding scenes via behaviour analysis and online anomaly detection in video. The book introduces novel Bayesian topic models for detection of events that are different from typical activities and a novel framework for change point detection for...
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| Format: | eBook |
| Language: | English |
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Cham
Springer International Publishing
2018, 2018
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| Edition: | 1st ed. 2018 |
| Series: | Springer Theses, Recognizing Outstanding Ph.D. Research
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| Collection: | Springer eBooks 2005- - Collection details see MPG.ReNa |
Table of Contents:
- Introduction
- Background
- Proposed Learning Algorithms for Markov Clustering Topic Model
- Dynamic Hierarchical Dirlchlet Process
- Change Point Detection with Gaussian Processes
- Conclusions and Future Work