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Attack Detection in an Autonomous Entrance System using Optical Flow

Siegmund, Dirk and Fu, Biying and Samartzidis, Timotheos and Wainakh, Aidmar and Kuijper, Arjan and Braun, Andreas (2016):
Attack Detection in an Autonomous Entrance System using Optical Flow.
In: 7th International Conference on Imaging for Crime Detection and Prevention, Madrid, Spain, 23-25 Nov. 2016, DOI: 10.1049/ic.2016.0087, [Conference or Workshop Item]

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.

Item Type: Conference or Workshop Item
Erschienen: 2016
Creators: Siegmund, Dirk and Fu, Biying and Samartzidis, Timotheos and Wainakh, Aidmar and Kuijper, Arjan and Braun, Andreas
Title: Attack Detection in an Autonomous Entrance System using Optical Flow
Language: English
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.

Uncontrolled Keywords: Guiding Theme: Digitized Work, Guiding Theme: Smart City, Research Area: Computer vision (CV), Research Area: Human computer interaction (HCI), Scene analysis, Optical flow, Computer vision, CRISP
Divisions: 20 Department of Computer Science
20 Department of Computer Science > Interactive Graphics Systems
20 Department of Computer Science > Mathematical and Applied Visual Computing
Event Title: 7th International Conference on Imaging for Crime Detection and Prevention
Event Location: Madrid, Spain
Event Dates: 23-25 Nov. 2016
Date Deposited: 06 May 2019 07:26
DOI: 10.1049/ic.2016.0087
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