Title :
Embedded face recognition system considers human eye gaze using glass-type platform
Author :
Bumhwi Kim ; Yonghwa Choi ; Minho Lee
Author_Institution :
Sch. of Electron. Eng., Kyungpook Nat. Univ., Taegu, South Korea
Abstract :
In this paper, we propose an embedded system which can detect multiple faces from a scene and can select one face among them using eye gaze from eye image in a real-world environment. In the proposed system, the scene and eye image is obtained by glass type platform which is used to detect faces and the eye gaze is calculated by embedded modules. Finally, android platform receives face image from embedded modules and performs the recognition task.
Keywords :
Android (operating system); embedded systems; face recognition; gaze tracking; android platform; embedded face recognition system; embedded modules; eye image; face detection; face image; glass type platform; human eye gaze; real-world environment; Androids; Detectors; Embedded systems; Face; Face detection; Face recognition; Feature extraction;
Conference_Titel :
Consumer Electronics (ICCE), 2014 IEEE International Conference on
Conference_Location :
Las Vegas, NV
Print_ISBN :
978-1-4799-1290-2
DOI :
10.1109/ICCE.2014.6776040