DocumentCode :
2637401
Title :
Blink detection and eye tracking for eye localization
Author :
Bhaskar, T.N. ; Keat, Foo Tun ; Ranganath, Surendra ; Venkatesh, Y.V.
Author_Institution :
Dept. of Electr. & Comput. Eng., Nat. Univ. of Singapore, Singapore
Volume :
2
fYear :
2003
fDate :
15-17 Oct. 2003
Firstpage :
821
Abstract :
A method of using frame differencing coupled with optical flow computation for eye blink detection is proposed. Frame differencing allows quick determination of possible motion regions. If they are detected, optical flow is computed within these regions. The direction and magnitude of the flow field are then used to determine whether a blink has occurred. The eyes are then tracked using the Kanade Lucas Tomasi (KLT) tracker. We obtained a success rate of 97.0% in blink detection using the proposed method, and localised the eyes automatically at an average rate of 22 frames per second.
Keywords :
eye; image motion analysis; image sequences; tracking; KLT tracker; Kanade Lucas Tomasi tracker; blink detection; eye localization; eye tracking; flow field direction; flow field magnitude; frame differencing; motion regions; optical flow computation; Cameras; Eyes; Face detection; Image motion analysis; Karhunen-Loeve transforms; Motion detection; Optical computing; Optical coupling; Optical detectors; Security;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
TENCON 2003. Conference on Convergent Technologies for the Asia-Pacific Region
Print_ISBN :
0-7803-8162-9
Type :
conf
DOI :
10.1109/TENCON.2003.1273293
Filename :
1273293
Link To Document :
بازگشت