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 (09.11.2016-11.11.2016)
Konferenzveröffentlichung, Bibliographie
Kurzbeschreibung (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.
| Typ des Eintrags: | Konferenzveröffentlichung |
|---|---|
| Erschienen: | 2016 |
| Autor(en): | Siegmund, Dirk ; Wainakh, Aidmar ; Braun, Andreas |
| Art des Eintrags: | Bibliographie |
| Titel: | Verification of Single-Person Access in a Mantrap Portal Using RGB-D Images |
| Sprache: | Englisch |
| Publikationsjahr: | November 2016 |
| Veranstaltungstitel: | XII Workshop de Visão Computacional. Proceedings |
| Veranstaltungsort: | Campo Grande, Mato Grosso Do Sul, Brazil |
| Veranstaltungsdatum: | 09.11.2016-11.11.2016 |
| Kurzbeschreibung (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. |
| Freie Schlagworte: | 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 |
| Fachbereich(e)/-gebiet(e): | 20 Fachbereich Informatik 20 Fachbereich Informatik > Mathematisches und angewandtes Visual Computing |
| Hinterlegungsdatum: | 07 Mai 2019 08:45 |
| Letzte Änderung: | 07 Mai 2019 08:45 |
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