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Background Separation in Motion Picture Using Presumptive Eyes Position and Different Image

机译:使用假定的眼睛位置和不同图像的电影背景分离

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The paper used the method using the information of colors by converting RGB information, the color image information to HSI model and YC_bC_r model and the presumptive eyes position, as the detection method of the region of face and its minutiae. From the sample image, the study suggested the method to separate and extract a subject from its background even in the sample images where there are colors similar to a given skin colors and to replace the original background with another background. Then, by using the only 4.8% of the overall region, the initial region of interest to comprehend filtering and a moving object was created, which demonstrates that based on the overall region, the only 13% may be used to track an actually moving object.
机译:本文使用了通过将RGB信息转换为HSI模型和YC_BC_R模型的颜色信息的方法,以及推定的眼睛位置,作为面部和细节区域的检测方法。从样本图像中,该研究表明,即使在样本图像中,该方法也可以将其分离和提取主题,其中包括与给定的肤色类似的颜色,并用另一个背景替换原始背景。然后,通过使用整个区域的仅4.8%,创建了理解过滤和移动对象的初始感兴趣区域,这表明基于整体区域,只有13%可以用于跟踪实际移动的对象。

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