Please use this identifier to cite or link to this item: http://scholarbank.nus.edu.sg/handle/10635/69520
Title: Blink detection and eye tracking for eye localization
Authors: Bhaskar, T.N.
Keat, F.T.
Ranganath, S. 
Venkatesh, Y.V.
Issue Date: 2003
Citation: Bhaskar, T.N.,Keat, F.T.,Ranganath, S.,Venkatesh, Y.V. (2003). Blink detection and eye tracking for eye localization. IEEE Region 10 Annual International Conference, Proceedings/TENCON 3 : 821-824. ScholarBank@NUS Repository.
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.
Source Title: IEEE Region 10 Annual International Conference, Proceedings/TENCON
URI: http://scholarbank.nus.edu.sg/handle/10635/69520
Appears in Collections:Staff Publications

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