Hier finden Sie wissenschaftliche Publikationen aus den Fraunhofer-Instituten.

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>
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)

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.