Title :
Detection of eye motion direction in real time video image
Author :
Atasoy, Nesrin Aydin ; Cavusoglu, Abdullah
Author_Institution :
Bilgisayar Muhendisligi Bolumu, Karabuk Univ., Karabük, Turkey
Abstract :
In this study, eye motion that captured by webcam is classified in real time. Eyes are detected with using Viola-Jones face detection algorithm. Iris and its center are detected with using Circle Hough Transform on single eye. Eye corners and region are determined OpenCV functions. And finally; The eye motion has been categorized in a way that it looks at down, up, left and right sides according to its distance to corner points of iris center. System is examined according to user´s distance to camera and light.
Keywords :
Hough transforms; cameras; eye; face recognition; iris recognition; real-time systems; OpenCV functions; Viola-Jones face detection; circle Hough transform; eye corners; eye motion direction detection; eye region; iris center; real time video image; single eye; webcam; Conferences; Detectors; Face detection; Iris; Real-time systems; Signal processing; Signal processing algorithms; OpenCV; circle hough transform method; real time object detection;
Conference_Titel :
Signal Processing and Communications Applications Conference (SIU), 2014 22nd
Conference_Location :
Trabzon
DOI :
10.1109/SIU.2014.6830522
