Trajectory anomaly detection and reference set algorithms - a comparative study
As society's capacity for data collection increases, the need for automated processing techniques becomes increasingly relevant. One way to evaluate data is to find the subset which does not conform to normal behaviour, i.e., anomalies. If the data is in the form of trajectories in some space, the algorithms used to find these are trajectory anomaly detection algorithms. In this paper, the tra
