Unconstrained ego-centric videos with eye-tracking data

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Unconstrained ego-centric videos with eye-tracking data
Unconstrained ego-centric videos with eye-tracking data
Journal Title:
IEEE Conference on Computer Vision and Pattern Recognition Workshops
Publication URL:
Publication Date:
01 June 2015
We present the first eye-tracking dataset for unconstrained ego-centric videos. The dataset captures over 6 hours of subjects performing common daily activities. These activities are manually annotated as socializing, walking, object manipulating, transiting and observing.
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Funding Info:
Reverse Engineering Visual Intelligence for cognitiVe Enhancement (REVIVE) programme funded by the Joint Council Office (JCO) of A*STAR. Grant No: 1335h00098
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