Facial Recognition Through Video Stream
| dc.contributor.advisor | Herendi, Tamás | |
| dc.contributor.author | Hoang Phu, Minh | |
| dc.contributor.department | DE--Informatikai Kar | |
| dc.date.accessioned | 2025-06-26T20:49:11Z | |
| dc.date.available | 2025-06-26T20:49:11Z | |
| dc.date.created | 2024-11-20 | |
| dc.description.abstract | This work sets out to recreate the methods to detect faces that appear in a video stream. Facial recognition is used everyday all around the world for tagging identities, tracking and profiling people and enhancing the quality of taking photos. It's a technology that's wide spread and used in many social platforms as well as phone cameras. Understanding and recreating this technology makes it possible to adapt the tech in more deep-field and specialized use cases. | |
| dc.description.course | Gazdaságinformatikus | |
| dc.description.degree | BSc/BA | |
| dc.format.extent | 31 | |
| dc.identifier.uri | https://hdl.handle.net/2437/394774 | |
| dc.language.iso | en | |
| dc.rights.access | Hozzáférhető a 2022 decemberi felsőoktatási törvénymódosítás értelmében. | |
| dc.subject | computer vision | |
| dc.subject | image processing | |
| dc.subject | face recognition | |
| dc.subject | machine learning | |
| dc.subject.dspace | Informatics::Computer Graphics | |
| dc.subject.dspace | Informatics::Information Technology | |
| dc.title | Facial Recognition Through Video Stream |
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