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https://hdl.handle.net/20.500.14365/3531| Title: | Face Detection, Tracking and Recognition with Artificial Intelligence | Authors: | Tekkok S.C. Soyunmez M.E. Bostanci B. Ekim P.O. |
Keywords: | detection neural networks tracking Agricultural robots Human computer interaction Robotics Complete system Detection and tracking Eigenface approach Face masks Mobile platform Face recognition |
Publisher: | Institute of Electrical and Electronics Engineers Inc. | Abstract: | Due to the COVID-19 pandemic, the face masks are mandatory everywhere so it might be beneficial to automatize the detection and tracking of whether people wear a mask or not with the help of the computer vision. Furthermore, it can be implemented on mobile robots as well. Additionally, face recognition of people is discussed with two different techniques which are based on neural networks and eigenface approach in this study. Hence, a complete system which can be used with mobile platforms has been achieved with the proposed procedure. © 2021 IEEE. | Description: | 3rd International Congress on Human-Computer Interaction, Optimization and Robotic Applications, HORA 2021 -- 11 June 2021 through 13 June 2021 -- 171163 | URI: | https://doi.org/10.1109/HORA52670.2021.9461356 https://hdl.handle.net/20.500.14365/3531 |
ISBN: | 9.78167E+12 |
| Appears in Collections: | Scopus İndeksli Yayınlar Koleksiyonu / Scopus Indexed Publications Collection |
Files in This Item:
| File | Size | Format | |
|---|---|---|---|
| 2622.pdf Restricted Access | 6.59 MB | Adobe PDF | View/Open Request a copy |
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