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机译:一种基于外观的视线跟踪方法科学出版物
Problem statement: Gaze estimation systems compute the direction of eye gaze based on observed eye movements. The need for gaze-contingent applications is the basis of the current research work. The gaze pointing systems is a substitute for the existing input devices. Approach: The gaze tracking methods are either feature based or appearance based. In this study, an appearance based approach for gaze tracking is proposed based on Run Length Coding (RLC). The experiment was conducted considering transitional changes and the class-intervals in iris pixels. The image acquisition begins from the center of the screen in anticlockwise direction. The center of the screen was the pivot point. Results: Using RLC, the recognition rate of 95% was achieved. The image analysis in different directions determines the gaze point. The directions was determined with respect to the pivot point. Conclusion: The proposed system provides a robust, less computational gaze tracking method using web camera.
问题陈述: STRONG>注视估计系统根据观察到的眼睛运动来计算注视方向。视线应用的需求是当前研究工作的基础。注视系统是现有输入设备的替代品。 方法: STRONG>注视跟踪方法基于特征或基于外观。在这项研究中,提出了一种基于游程长度编码(RLC)的基于外观的注视跟踪方法。考虑过渡变化和虹膜像素的类间隔进行了实验。图像采集从屏幕中心开始逆时针方向。屏幕的中心是关键点。 结果: STRONG>使用RLC,识别率达到95%。不同方向的图像分析确定了凝视点。方向是相对于枢轴点确定的。 结论: STRONG>所提出的系统提供了一种使用网络摄像头的健壮,计算量较少的注视跟踪方法。 P>
机译:基于外观的视线跟踪方法
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机译:一种基于外观的眼睛注视跟踪方法
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