A Survey of Single-Scene Video Anomaly Detection
- URL: http://arxiv.org/abs/2004.05993v2
- Date: Fri, 14 Aug 2020 18:09:34 GMT
- Title: A Survey of Single-Scene Video Anomaly Detection
- Authors: Bharathkumar Ramachandra, Michael J. Jones, Ranga Raju Vatsavai
- Abstract summary: This survey article summarizes research trends on the topic of anomaly detection in video feeds of a single scene.
We discuss the various problem formulations, publicly available datasets and evaluation criteria.
- Score: 2.053142696037897
- License: http://arxiv.org/licenses/nonexclusive-distrib/1.0/
- Abstract: This survey article summarizes research trends on the topic of anomaly
detection in video feeds of a single scene. We discuss the various problem
formulations, publicly available datasets and evaluation criteria. We
categorize and situate past research into an intuitive taxonomy and provide a
comprehensive comparison of the accuracy of many algorithms on standard test
sets. Finally, we also provide best practices and suggest some possible
directions for future research.
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