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...
| Main Author: | Isupova, Olga, |
|---|---|
| Other Authors: | SpringerLink (Online service) |
| Format: | eBook |
| Language: | English |
| Published: |
Cham, Switzerland :
Springer,
2018.
|
| Physical Description: |
1 online resource (xxv, 126 pages) : illustrations (some color). |
| Series: |
Springer theses.
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| Subjects: |