Abstract
Anomaly detection in video has several important applications, specially nowadays when cameras are widely available. One of the challenges in this scenario is that there is a huge amount of data (video frames) and only small part of it is important (unusual/abnormal events). Consequently, the detection of these anomalous events by humans is a tedious and ineffective process. This situatio…