Abnormal Event Detection Dataset
UBI-Fights - Concerning a specific anomaly detection and still providing a wide diversity in fighting scenarios, the UBI-Fights dataset is a unique new large-scale dataset of 80 hours of video fully annotated at the frame level. Consisting of 1000 videos, where 216 videos contain a fight event, and 784 are normal daily life situations. All unnecessary video segments (e.g., video introductions, news, etc.) that could disturb the learning process were removed.
Variants: UBI-Fights
This dataset is used in 2 benchmarks:
| Task | Model | Paper | Date |
|---|---|---|---|
| Abnormal Event Detection In Video | Sultani et al. | Real-world Anomaly Detection in Surveillance … | 2018-01-12 |
| Semi-supervised Anomaly Detection | Sultani et al. | Real-world Anomaly Detection in Surveillance … | 2018-01-12 |
| Abnormal Event Detection In Video | Adversarial Generator | Abnormal Event Detection in Videos … | 2017-08-31 |
| Semi-supervised Anomaly Detection | Adversarial Generator | Abnormal Event Detection in Videos … | 2017-08-31 |
| Semi-supervised Anomaly Detection | LSTM-AE | Abnormal Event Detection in Videos … | 2017-01-06 |
| Abnormal Event Detection In Video | LSTM-VAE | Abnormal Event Detection in Videos … | 2017-01-06 |
| Abnormal Event Detection In Video | Hasan et al. | Learning Temporal Regularity in Video … | 2016-04-15 |
| Semi-supervised Anomaly Detection | Hasan et al. | Learning Temporal Regularity in Video … | 2016-04-15 |
Recent papers with results on this dataset: