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- W3150687234 abstract "为眼睛追踪的非恼人的方法为基于视觉的人的计算机相互作用的许多应用是重要的。然而由于眼睛运动的高非线性，怎么保证追踪姿势的眼睛的外部干扰和精确性的坚韧性到直到今天的眼睛运动的集成的主要障碍连接。在这份报纸，我们在场一个强壮的追踪 unscented Kalman 过滤器(ST-UKF ) 算法，试图在非线性的眼睛追踪克服困难。在建议 ST-UKF，过滤的强壮的追踪的非最优的褪色因素被介绍改进眼睛追踪的坚韧性和精确性。与为眼睛追踪的相关 Kalman 过滤器相比，建议 ST-UKF 在坚韧性和追踪的精确性有潜在的优点。最后试验性的结果为眼睛在现实主义的条件下面追踪显示出我们的方法的有效性。" @default.
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- W3150687234 date "2010-01-01" @default.
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- W3150687234 title "A strong tracking nonlinear robust filter for eye tracking" @default.
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