Sarmadi, HamidMuñoz-Salinas, RafaelOlivares-Mendez, Miguel A.Medina-Carnicer, Rafael2022-11-212022-11-212021-02-10Sarmadi H, Muñoz-Salinas R, Olivares-Mendez MA, Medina-Carnicer R. Detection of Binary Square Fiducial Markers Using an Event Camera. IEEE Access. 2021; 9:27813-27826http://hdl.handle.net/10668/4373Event cameras are a new type of image sensors that output changes in light intensity (events) instead of absolute intensity values. They have a very high temporal resolution and a high dynamic range. In this paper, we propose a method to detect and decode binary square markers using an event camera. We detect the edges of the markers by detecting line segments in an image created from events in the current packet. The line segments are combined to form marker candidates. The bit value of marker cells is decoded using the events on their borders. To the best of our knowledge, no other approach exists for detecting square binary markers directly from an event camera. Experimental results show that the performance of our proposal is much superior to the one from the RGB ArUco marker detector. Additionally, the proposed method can run on a single CPU thread in real-time.spaAtribución 4.0 Internacionalhttp://creativecommons.org/licenses/by/4.0/Event cameraArUco markersSquare binary markersSilicon retinaComputer visionAlgorithmsCamerasImage reconstructionImage edge detectionImage segmentationBrightnessReal-time systemsImage sensorsMarcadores fiducialesInteligencia artificialAlgoritmosProcesamiento de imagen asistido por computadorContaminación lumínicaSistemas de computaciónMedical Subject Headings::Information Science::Information Science::Computing Methodologies::Image Processing, Computer-AssistedMedical Subject Headings::Information Science::Information Science::Computing Methodologies::AlgorithmsMedical Subject Headings::Organisms::Eukaryota::Animals::Chordata::Vertebrates::Mammals::Primates::Haplorhini::Catarrhini::Hominidae::HumansMedical Subject Headings::Health Care::Environment and Public Health::Environment::Environment, Controlled::LightingMedical Subject Headings::Anatomy::Sense Organs::Eye::RetinaMedical Subject Headings::Information Science::Information Science::Computing Methodologies::Computer Systems::ComputersDetection of Binary Square Fiducial Markers Using an Event Cameraresearch articleAcceso abierto10.1109/ACCESS.2021.30584232169-3536