Real-time and accurate abnormal behavior detection in videos-Reference-Cited by-同舟云学术

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Real-time and accurate abnormal behavior detection in videos

Published:2020-09-24 Issue:7-8 Volume:31 Page:
ISSN:0932-8092
Container-title:Machine Vision and Applications
language:en
Short-container-title:Machine Vision and Applications

Author:

Fan Zheyi,Yin Jianyuan,Song Yu,Liu Zhiwen

Funder

Natural Science Foundation of Beijing Municipality

National Natural Science Foundation of China

Basic Research Foundation of Beijing Institute of Technology

Industry-University-Research Innovation Foundation of the Science and Technology Development Center of the Ministry of Education

Publisher

Springer Science and Business Media LLC

Subject

Computer Science Applications,Computer Vision and Pattern Recognition,Hardware and Architecture,Software

Link

https://link.springer.com/content/pdf/10.1007/s00138-020-01111-3.pdf

Reference51 articles.

1. Popoola, O.P., Wang, K.: Video-based abnormal human behavior recognition—a review. IEEE Trans. Syst. Man Cybern. C Cybern. 42(6), 865–878 (2012)

2. Yong, S.C., Yong, H.T.: Abnormal event detection in videos using spatiotemporal autoencoder. In: IEEE Computer Vision and Pattern Recognition. pp. 189–196 (2017)

3. Ravanbakhsh, M., Nabi, M., Sangineto, E., et al.: Abnormal event detection in videos using generative adversarial nets. In: 2017 IEEE International Conference on Image Processing (ICIP). IEEE, pp. 1577–1581

4. Akcay, S., Atapour-Abarghouei, A., Breckon, T. P.: Ganomaly: semi-supervised anomaly detection via adversarial training. In: Springer Asian Conference on Computer Vision, pp. 622–637 (2018)

5. Sabokrou, M., Fathy, M., Moayed, Z., et al.: Fast and accurate detection and localization of abnormal behavior in crowded scenes. Mach. Vis. Appl. 28(8), 965–985 (2017)

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