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.
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S. Vora, M. Shahriari, Stelios C. A. Thomopoulos, L. Fischer, T. Hoch, "A scoring algorithm for abnormal traveller behaviour in border crossing areas," Proc. SPIE 11542, Counterterrorism, Crime Fighting, Forensics, and Surveillance Technologies IV, 1154206 (20 September 2020); https://doi.org/10.1117/12.2573963