Anomaly Detection From Humans' Pose in Video Surveillance Data

Data

We use UCF Crime Data for Real-world Anomaly Detection in Surveillance Videos.

Reference

[1] UCF Crime Data.

[2] Sultani et. al. (2019). Real-world Anomaly Detection in Surveillance Videos. https://arxiv.org/pdf/1801.04264.pdf.

[3] Ren et al. (2016). Faster R-CNN: Towards Real-Time Object Detection with Region Proposal Networks. https://arxiv.org/pdf/1506.01497.pdf.