_Visual_Focus_of_Attention_Estimation.pdf (1.27 MB)
Visual focus of attention estimation using eye center localization
journal contributionposted on 2019-10-09, 09:10 authored by Haibin CaiHaibin Cai, Bangli Liu, Jianhua Zhang, Shengyong Chen, Honghai Liu
Estimating people visual focus of attention (VFOA) plays a crucial role in various practical systems such as human-robot interaction. It is challenging to extract the cue of the VFOA of a person due to the difficulty of recognizing gaze directionality. In this paper, we propose an improved integrodifferential approach to represent gaze via efficiently and accurately localizing the eye center in lower resolution image. The proposed method takes advantage of the drastic intensity changes between the iris and the sclera and the grayscale of the eye center as well. The number of kernels is optimized to convolute the original eye region image, and the eye center is located via searching the maximum ratio derivative of the neighbor curve magnitudes in the convolution image. Experimental results confirm that the algorithm outperforms the state-of-the-art methods in terms of computational cost, accuracy, and robustness to illumination changes.
EU seventh framework programme DREAM (611391) and National Natural Science Foundation of China (61325019)
- Computer Science
Published inIEEE Systems Journal
Pages1320 - 1325
- AM (Accepted Manuscript)
Rights holder© IEEE
Publisher statement© 2015 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works.