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  • Akademik Arşiv / Institutional Repository
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Autonomous Face Detection and Tracking Using Quadrotor UAV

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Date
2020-10
Author
Karahan, M.
Kurt, Hamza
Kasnakoğlu, Coşku
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Abstract
In this paper, human face detection and tracking system with a camera of the Quadrotor UAV is proposed. During flight, Quadrotor takes photos of the human face, records videos and sends these photos and videos to the computer with Wi-fi connection. Face detection algorithm detects human face using Viola Jones algorithm. Face detection algorithm can detect multiple faces at the same time. Face tracking algorithm identifies feature points of the face in first frame and track these features in following frames in a video recorded by the Quadrotor UAV's camera. Face detection and face tracking algorithms' performances are evaluated by using photos and videos of the human faces. It could be interpreted that face detection algorithm successfully detect single and multiple faces and face tracking algorithm is competent to track the human face. © 2020 IEEE.
URI
https://ieeexplore.ieee.org/document/9254469
http://hdl.handle.net/20.500.11851/4069
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  • Elektrik ve Elektronik Mühendisliği Bölümü / Department of Electrical & Electronics Engineering

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