1 Introduction  
2 Deep Learning in Anomaly Detection for Videos  
2.1 Using Reconstruction Error  
2.2 Using Future Frame Prediction  
2.3 Using Classifiers  
2.4 Using Scoring Methods  
3 Existing Benchmark Datasets  
4 Evaluation Metrics  
5 Discussion  
6 Conclusions