Siegmund, Dirk ; Wainakh, Aidmar ; Braun, Andreas (2016)
Verification of Single-Person Access in a Mantrap Portal Using RGB-D Images.
XII Workshop de Visão Computacional. Proceedings. Campo Grande, Mato Grosso Do Sul, Brazil (November 9-11 2016)
Conference or Workshop Item
Abstract
Automatic entrance systems are increasingly gaining importance to guarantee security in e.g. critical infrastructure. A pipeline is presented which verifies that only a single, authorized subject can enter a secured area. Verification scenarios are carried out by using a set of RGB-D images. Features, invariant to rotation and pose are used and classified by different metrics to be applied in real-time. The performance was evaluated by using scenarios in which the system was attacked by a second subject. The results show that the presented approach outerperforms competitive methods. It concludes with a summary of strengths and weaknesses and gives an outlook for future work.
| Item Type: | Conference or Workshop Item |
|---|---|
| Erschienen: | 2016 |
| Creators: | Siegmund, Dirk ; Wainakh, Aidmar ; Braun, Andreas |
| Type of entry: | Bibliographie |
| Title: | Verification of Single-Person Access in a Mantrap Portal Using RGB-D Images |
| Language: | English |
| Date: | November 2016 |
| Event Title: | XII Workshop de Visão Computacional. Proceedings |
| Event Location: | Campo Grande, Mato Grosso Do Sul, Brazil |
| Event Dates: | November 9-11 2016 |
| Abstract: | Automatic entrance systems are increasingly gaining importance to guarantee security in e.g. critical infrastructure. A pipeline is presented which verifies that only a single, authorized subject can enter a secured area. Verification scenarios are carried out by using a set of RGB-D images. Features, invariant to rotation and pose are used and classified by different metrics to be applied in real-time. The performance was evaluated by using scenarios in which the system was attacked by a second subject. The results show that the presented approach outerperforms competitive methods. It concludes with a summary of strengths and weaknesses and gives an outlook for future work. |
| Uncontrolled Keywords: | Guiding Theme: Smart City, Guiding Theme: Visual Computing as a Service, Research Area: Computer vision (CV), Research Area: Human computer interaction (HCI), People detection, Scene analysis, Optical flow, 3D Computer vision, CRISP |
| Divisions: | 20 Department of Computer Science 20 Department of Computer Science > Mathematical and Applied Visual Computing |
| Date Deposited: | 07 May 2019 08:45 |
| Last Modified: | 07 May 2019 08:45 |
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