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Attack detection in an autonomous entrance system using optical flow

 
: Siegmund, Dirk; Fu, Biying; Samartzidis, Timotheos; Wainakh, Aidmar; Kuijper, Arjan; Braun, Andreas

:

Institution of Engineering and Technology -IET-:
7th International Conference on Imaging for Crime Detection and Prevention, ICDP 2016 : 23-25 Nov. 2016, Madrid, Spain
London: IET, 2016
ISBN: 978-1-78561-400-2
6 S.
International Conference on Imaging for Crime Detection and Prevention (ICDP) <7, 2016, Madrid>
Englisch
Konferenzbeitrag
Fraunhofer IGD ()
Fraunhofer IGD-R ()
scene analysis; optical flow; computer vision; CRISP; Guiding Theme: Digitized Work; Guiding Theme: Smart City; Research Area: Computer vision (CV); Research Area: Human computer interaction (HCI)

Abstract
Unstaffed access control portals are becoming more common in high security areas. Existing systems require expensive hardware, or are sensitive to changing environmental conditions. We present a single camera system for a mantrap which is able to verify that only one individual is in the designated transit area. Our novel approach combines optical flow and machine-learning classification. A database was created that consists of images of attempted attacks and regular verification. The results show that our approach provides competitive results and outperforms detection rates in several attack scenarios.

: http://publica.fraunhofer.de/dokumente/N-459022.html