A scoring algorithm for abnormal passenger behavior in border-crossing areas

S. Vora, M. Shahriari, S. Thomopoulos, L. Fischer, T. Hoch. A scoring algorithm for abnormal passenger behavior in border-crossing areas. pages 1154206, DOI 10.1117/12.2573963, 10, 2020.

Autoren
  • Saransh Vora
  • Mostafa Shahriari
  • Stelios C. A. Thomopoulos
  • Lukas Fischer
  • Thomas Hoch
Editoren
  • Henri Bouma
  • Radhakrishna Prabhu
  • Robert James Stokes
  • Yitzhak Yitzhaky
BuchProceedings SPIE
TypIn Konferenzband
SerieCounterterrorism, Crime Fighting, Forensics, and Surveillance Technologies IV
DOI10.1117/12.2573963
Monat10
Jahr2020
Seiten1154206
Abstract

Real-time behaviour analysis is of paramount importance to ensure the safety of passengers in border-crossing areas. It allows to recognize the security threats on time. Moreover, it can accelerate the security check since the security personnel only consider severe checks for passengers with suspicious behaviour. In this work, we consider the following suspicious patterns: (a) mindless turn, (b) peculiar interest to the security units, and (c) avoiding the security units. We propose an algorithm to compute an abnormal behaviour score in real-time. This score can help the security personnel to assess passenger movement patterns. We show the performance of our scoring algorithm via different synthetic examples.