Please use this identifier to cite or link to this item: 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

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