Anomaly detection in location and trajectory datasets Konum ve rota veri kümelerinde tutarsizlik tespiti


Datlica M. T. , DEMİR E.

29th IEEE Conference on Signal Processing and Communications Applications, SIU 2021, Virtual, Istanbul, Turkey, 9 - 11 June 2021 identifier identifier

  • Publication Type: Conference Paper / Full Text
  • Doi Number: 10.1109/siu53274.2021.9477872
  • City: Virtual, Istanbul
  • Country: Turkey
  • Keywords: anomaly detection, location anomaly, trajectory anomaly, online unsupervised learning

Abstract

© 2021 IEEE.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.