Real-Time Scalable System For Face Tracking In Multi-Camera

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dc.authoridOzdemir, Mehmet Fatih/0000-0003-3563-054X
dc.contributor.authorOzdemir, Mehmet F.
dc.contributor.authorHanbay, Davut
dc.date.accessioned2024-08-04T21:00:58Z
dc.date.available2024-08-04T21:00:58Z
dc.date.issued2024
dc.departmentİnönü Üniversitesien_US
dc.description.abstractFace detection and tracking have become increasingly popular in recent years. It has critical importance in security, defense, and robotics applications uses encountered in everyday life. For this purpose, many decision support or expert systems have been developed using artificial intelligence and machine learning. Thanks to the developments in the field of deep learning and hardware many effective and reliable face tracking systems have been realized. However there are still very few real-time scalable end-toend systems. Also, the realization of this system on multiple cameras is a real challenge. In this study, a real-time, multi-camera, deep learning-based face tracking system has been developed. In the realized system, SCRFD model is used for face detection, ArcFace model is used for face recognition, and an updated DeepSORT algorithm is used for more stable face tracking. In addition, Apache Kafka stream processing system and Socket.IO bidirectional communication library were used to process multi-camera data in real-time and scalable. In the proposed system, when an image is input into the system, it can be displayed on the web page after approximately 127 ms.en_US
dc.description.sponsorshipInonu University Research Projects Coordination Unit project [FYL-2021-2449]en_US
dc.description.sponsorshipACKNOWLEDGEMENT This study was supported by Inonu University Research Projects Coordination Unit project coded FYL-2021-2449.en_US
dc.identifier.doi10.2339/politeknik.1332952
dc.identifier.issn1302-0900
dc.identifier.issn2147-9429
dc.identifier.urihttps://doi.org/10.2339/politeknik.1332952
dc.identifier.urihttps://hdl.handle.net/11616/103985
dc.identifier.wosWOS:001193913300001en_US
dc.identifier.wosqualityN/Aen_US
dc.indekslendigikaynakWeb of Scienceen_US
dc.language.isoenen_US
dc.publisherGazi Univen_US
dc.relation.ispartofJournal of Polytechnic-Politeknik Dergisien_US
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanıen_US
dc.rightsinfo:eu-repo/semantics/openAccessen_US
dc.subjectFace recognitionen_US
dc.subjectface trackingen_US
dc.subjectdeep learningen_US
dc.subjectmulti-cameraen_US
dc.titleReal-Time Scalable System For Face Tracking In Multi-Cameraen_US
dc.typeArticleen_US

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