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Sampling strong tracking nonlinear unscented Kalman filter and its application in eye tracking 下载免费PDF全文
The unscented Kalman filter is a developed well-known method for nonlinear motion estimation and tracking. However, the standard unscented Kalman filter has the inherent drawbacks, such as numerical instability and much more time spent on calculation in practical applications. In this paper, we present a novel sampling strong tracking nonlinear unscented Kalman filter, aiming to overcome the difficulty in nonlinear eye tracking. In the above proposed filter, the simplified unscented transform sampling strategy with n+2 sigma points leads to the computational efficiency, and suboptimal fading factor of strong tracking filtering is introduced to improve robustness and accuracy of eye tracking. Compared with the related unscented Kalman filter for eye tracking, the proposed filter has potential advantages in robustness, convergence speed, and tracking accuracy. The final experimental results show the validity of our method for eye tracking under realistic conditions. 相似文献
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基于安全水印嵌入技术提出一种新的买方-卖方水印协议。使用该协议中购买者不但可以匿名地购买数字产品,而且能够在整个交易过程中,保障买方的权利问题,同时还能解决水印和数字产品或者一次特殊交易的绑定及盗版追踪问题。卖方一旦发现一个盗版拷贝,便可以通过拷贝中的水印鉴别买方,并向第三方证明其鉴别结果。该协议采用基于部分加密的安全水印嵌入方案,不必对媒体的全部内容进行公钥加密,大大减少了计算量和带宽开销。 相似文献
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