TR2021-029

A Survey of Single-Scene Video Anomaly Detection


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.

 

  • Related Publication

  •  Jones, M.J., Ramachandra, B., Vatsavai, R., "A Survey of Single-Scene Video Anomaly Detection", arXiv, August 2020.
    BibTeX arXiv
    • @article{Jones2020aug,
    • author = {Jones, Michael J. and Ramachandra, Bharathkumar and Vatsavai, Ranga},
    • title = {A Survey of Single-Scene Video Anomaly Detection},
    • journal = {arXiv},
    • year = 2020,
    • month = aug,
    • url = {https://arxiv.org/abs/2004.05993}
    • }