Anomaly Detection in Location and Trajectory Datasets
Mustafa Tolga Datlıca, Engin Demir · 2021
Detection of location and trajectory anomalies of moving objects such as people and vehicles are crucial to identify abnormal behaviour during their daily activities. In this study, it is aimed to determine these anomalies using the tracking device under development. For that purpose, performance of different state-of-the-art online data mining and machine learning algorithms are compared using GPS traces including short-term (two weeks) data.