Siegmund, DirkDirkSiegmundWainakh, AidmarAidmarWainakhBraun, AndreasAndreasBraun2022-03-132022-03-132016https://publica.fraunhofer.de/handle/publica/396879Automatic 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.enpeople detectionscene analysisoptical flow3D computer visionLead Topic: Smart CityLead Topic: Visual Computing as a ServiceResearch Line: Computer vision (CV)Research Line: Human computer interaction (HCI)CRISP006conference paper