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Volume: 28 | Article ID: art00013
Towards Region-of-Attention Analysis in Eye Tracking Protocols
  DOI :  10.2352/ISSN.2470-1173.2016.2.VIPC-230  Published OnlineFebruary 2016

Eye tracking plays an important role in understanding human visual perception, especially visual attention and quality assessment. In this paper, we propose an efficient algorithm for identifying the region of attention in the eye tracking protocol. We use velocity-threshold based fixation identification algorithm to identify fixations and divide them into different clusters. In a particular cluster, we propose a densest position based method to locate the center of human attention. We have implemented the eye tracking protocols and conducted the experiments to evaluate the performance of our system. As shown in our results, the proposed method shows superior performance when compared to the traditional method.

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Yingbin Wang, Xiu Chen, Zhenzhong Chen, "Towards Region-of-Attention Analysis in Eye Tracking Protocolsin Proc. IS&T Int’l. Symp. on Electronic Imaging: Visual Information Processing and Communication VII,  2016,

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