TY  - CONF
N1  - cited By 10; Conference of 2013 11th IEEE Student Conference on Research and Development, SCOReD 2013 ; Conference Date: 16 December 2013 Through 17 December 2013; Conference Code:109913
N2  - Eye blink detection is considered to be one of the most reliable sources of communication in modern human computer interaction (HCI) systems. This paper proposes a new method for eye blink detection using template matching and similarity measure. In order to minimize the false detection due to changing background in the video frame, face detection is applied before extraction of the eye template. Golden ratio concept is introduced for robust eye detection and is followed by eye template creation for tracking. Eye tracking is performed by template matching between template image and surrounding region. The normalized correlation coefficient is computed for successful eye tracking. Eye blink detection is performed based upon the correlation score as the score changes significantly whenever a blink occurs. The proposed system provides an overall precision of 92.8 and overall accuracy of 99.6 with 0.1 false positive rate in different experimental conditions. © 2013 IEEE.
KW  - Eye protection; Eye tracking; Face recognition; Human computer interaction
KW  -  Experimental conditions; Eye-blink detections; False positive rates; Human computer interaction (HCI); Normalized correlation coefficient; Overall accuracies; Similarity measure; Surrounding regions
KW  -  Template matching
ID  - scholars3777
SP  - 79
TI  - Automated eye blink detection and tracking using template matching
AV  - none
UR  - https://www.scopus.com/inward/record.uri?eid=2-s2.0-84921733205&doi=10.1109%2fSCOReD.2013.7002546&partnerID=40&md5=ec137c078f227b7d5bd969f5025c625f
A1  - Awais, M.
A1  - Badruddin, N.
A1  - Drieberg, M.
EP  - 83
Y1  - 2013///
SN  - 9781479926565
PB  - Institute of Electrical and Electronics Engineers Inc.
ER  -