NDLI: Accurate gaze estimation based on average-binary-connected-component-centroid

Content Provider	IET Digital Library
Author	Xiao, Feng Huang, Kejie Qiu, Yue Shen, Haibin
Abstract	Iris centre is widely used in feature-based gaze estimation system. However, the performance of various existing iris centre localisation methods is degraded in low-resolution images. To address the problem, an accurate regression-based gaze estimation system is proposed by replacing the iris centre with a novel average-binary-connected-component-centroid (ABCCC) feature. First, ABCCC is obtained by averaging a series of binary connected component centroids, which are calculated by different percentile grey thresholds in the normalised eye region of interest. Then, head pose is estimated by employing the OpenCV iterative algorithm. Thereafter, ABCCC and head pose are mapped to compute the gaze using a linear mapping functions, which are regressed in calibration phase. Compared with traditional methods using iris centre, ABCCC is easier to calculate and shows a stronger correlation with the change of gaze, which improves the accuracy of the gaze estimation system. Experimental results on EYEDIAP database verify the effectiveness of the proposed method.
Starting Page	1026
Ending Page	1028
Page Count	3
ISSN	00135194
Volume Number	54
e-ISSN	1350911X
Issue Number	Issue 17, Aug (2018)
Alternate Webpage(s)	https://digital-library.theiet.org/content/journals/el/54/17
Alternate Webpage(s)	https://digital-library.theiet.org/content/journals/10.1049/el.2018.0496
Journal	Electronics Letters
Publisher Date	2018-07-24
Access Restriction	Open
Rights Holder	© The Institution of Engineering and Technology
Subject Keyword	ABCCC Feature Accurate Regression-based Gaze Estimation System Average-binary-connected-component-centroid Feature Calibration Phase Computer Vision And Image Processing Technique EYEDIAP Database Feature Extraction Feature-based Gaze Estimation System Gaze Tracking Head Pose Estimation Image Recognition Interpolation And Function Approximation Iterative Method Linear Mapping Function Low-resolution Image Normalised Eye Region-of-interest Numerical Analysis OpenCV Iterative Algorithm Percentile Grey Thresholds Pose Estimation Regression Analysis Statistics
Content Type	Text
Resource Type	Article
Subject	Electrical and Electronic Engineering

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