Abnormal motion pattern detection in video sequences by an unsupervised approach
Identifying anomalous motion behavior in video sequences is a challenging task. Manual annotation of a large number of surveillance videos is time-consuming because of the limited human brain's visual attention. This work presents a new framework to detect abnormalities from unlabeled videos us...
| Main Authors: | , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Khon Kaen University
2021-07-01
|
| Series: | Engineering and Applied Science Research |
| Subjects: | |
| Online Access: | https://ph01.tci-thaijo.org/index.php/easr/article/download/241494/166479/ |