Real-World Anomaly Detection in Surveillance Videos

• Published in: 2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition pp. 6479 - 6488
• Main Authors: Sultani, Waqas, Chen, Chen, Shah, Mubarak
• Format: Conference Proceeding
• Language: English
• Published: IEEE 01.06.2018
• Subjects: Anomaly detection; Cameras; Computer vision; Hidden Markov models; Surveillance; Training; Videos

Surveillance videos are able to capture a variety of realistic anomalies. In this paper, we propose to learn anomalies by exploiting both normal and anomalous videos. To avoid annotating the anomalous segments or clips in training videos, which is very time consuming, we propose to learn anomaly thr...