Eye movement computation model based on short-term memory optical flow image

被引：3

作者：

Morita, S ^{[1
]}

机构：

[1] Yamaguchi Univ, Fac Engn, Ube, Yamaguchi 7558611, Japan

来源：

PROCEEDINGS OF THE IEEE INTERNATIONAL CONFERENCE ON MULTISENSOR FUSION AND INTEGRATION FOR INTELLIGENT SYSTEMS | 2003年

关键词：

D O I：

10.1109/MFI-2003.2003.1232569

中图分类号：

TP39 [计算机的应用];

学科分类号：

081203 ; 0835 ;

摘要：

In this paper we introduced a computation model of eye movement using the short-term memory optical flow image. We also applied this model into the simulation of driver's eye movements in an open road. The computation model of the eye movement is based on the parallel tasks and the short-term memory. It is especially important to realize certain driving tasks which involve tracking the moving vehicles, identifying road sign, and estimating the road shape. The short-term memories corresponding to tasks are used due to change the attention region. We show that the viewpoint moves smoothly in the wide region by using the short-term memory image generated by the low-level features of the optical flow. We simulate the driver's eye movement and show the efficiency of this model.

引用

页码：3 / 8

页数：6

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