Deep anomaly detection through visual attention in surveillance videos
Abstract This paper describes a method for learning anomaly behavior in the video by finding an attention region from spatiotemporal information, in contrast to the full-frame learning. In our proposed method, a robust background subtraction (BG) for extracting motion, indicating the location of att...
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| Autors principals: | , , , |
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| Format: | Artigo |
| Idioma: | Inglês |
| Publicat: |
SpringerOpen
2020-10-01
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| Col·lecció: | Journal of Big Data |
| Matèries: | |
| Accés en línia: | http://link.springer.com/article/10.1186/s40537-020-00365-y |
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