Automated Real-time Anomaly Detection in Human Trajectories using Sequence to Sequence Networks

no code implementations • 12 Jul 2019 • Giorgos Bouritsas, Stelios Daveas, Antonios Danelakis, Constantinos Rizogiannis, Stelios C. A. Thomopoulos

Detection of anomalous trajectories is an important problem with potential applications to various domains, such as video surveillance, risk assessment, vessel monitoring and high-energy physics.

Anomaly Detection Time Series +1