An Experimental Performance Comparison of Widely Used Face Detection Tools

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dc.authoridKabakus, Abdullah Talha/0000-0003-2181-4292
dc.authorwosidKabakus, Abdullah Talha/J-8361-2019
dc.contributor.authorKabakus, Abdullah Talha
dc.date.accessioned2021-12-01T18:47:07Z
dc.date.available2021-12-01T18:47:07Z
dc.date.issued2019
dc.departmentDÜ, Mühendislik Fakültesi, Bilgisayar Mühendisliği Bölümüen_US
dc.description.abstractFace detection is the task of detecting faces on photos, videos as well as the streaming data such as a webcam. Face detection, which is a specific type of general-purpose object detection, is a key prerequisite for many other artificial intelligence tasks such as face verification, face tagging and retrieval, and face tracking. In addition to that, convolutional neural nowadays, face detection is commonly used in daily routines such as social media, and network camera software of smartphones. As a result of this necessity, several face detection tools have been proposed. In this study, an experimental performance comparison of well-known face detection tools in terms of (1) accuracy, and (2) elapsed time of detection, which has become even more critical criteria especially when the face detection mechanism is utilized for a real-time system, is proposed. As a result of this experimental study, it is aimed that shed light on the much-concerned query which face detection tool provides the best performance?. In addition to that, this study succeeds in showing that convolutional neural networks achieve great accuracy for face detection.en_US
dc.identifier.doi10.14201/ADCAIJ201983512
dc.identifier.endpage12en_US
dc.identifier.issn2255-2863
dc.identifier.issue3en_US
dc.identifier.startpage5en_US
dc.identifier.urihttps://doi.org/10.14201/ADCAIJ201983512
dc.identifier.urihttps://hdl.handle.net/20.500.12684/10151
dc.identifier.volume8en_US
dc.identifier.wosWOS:000535788500001en_US
dc.identifier.wosqualityN/Aen_US
dc.indekslendigikaynakWeb of Scienceen_US
dc.institutionauthorKabakus, Abdullah Talha
dc.language.isoenen_US
dc.publisherEdiciones Univ Salamancaen_US
dc.relation.ispartofAdcaij-Advances In Distributed Computing And Artificial Intelligence Journalen_US
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanıen_US
dc.rightsinfo:eu-repo/semantics/openAccessen_US
dc.subjectface detectionen_US
dc.subjectface localizationen_US
dc.subjectcomputer visionen_US
dc.subjectTrackingen_US
dc.titleAn Experimental Performance Comparison of Widely Used Face Detection Toolsen_US
dc.typeArticleen_US

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