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METHOD AND APPARATUS FOR TRACKING AND DIVIDING OBJECTS ON AN IMAGE USING MARKOV CHAIN

机译:使用马尔可夫链跟踪和划分图像对象的方法和装置

摘要

PROBLEM TO BE SOLVED: To provide a tracking algorithm and framework by a simple and new segmentation which applies an absorption Markov chain to a visual tracking for an atypical and deformable object.;SOLUTION: An object of the present invention is to trace the object of a moving image data frame by using the absorption Markov chain by acquiring a bounding box including a target object on a current frame and a segmentation result for the target object in a previous frame, expanding a bounding box in order to include a part of the information on a background surrounding the target object, acquiring the ROI on the current frame, acquiring the information on a local area within the ROI on the current frame, constituting an absorption Markov chain graph by using the local area within both ROIs of the current frame and the previous frame, and acquiring the segmentation result for the target object on the current frame by using the number of times of absorption and determining the threshold value of each node in the absorption Markov chain graph.;SELECTED DRAWING: Figure 5A;COPYRIGHT: (C)2019,JPO&INPIT
机译:解决的问题:通过简单的新的分割提供一种跟踪算法和框架,该分割将吸收性马尔可夫链应用于非典型和可变形物体的视觉跟踪。解决方案:本发明的目的是跟踪物体的跟踪。通过使用吸收马尔可夫链来获取运动图像数据帧,方法是获取包含当前帧上的目标对象的边界框和前一帧中目标对象的分割结果,并扩展边界框以包含一部分信息在目标物体周围的背景上,获取当前帧的ROI,获取当前帧的ROI内局部区域的信息,利用当前帧的两个ROI内的局部区域构成吸收马尔可夫链图,前一帧,并通过吸收次数确定阈值,获取当前帧目标对象的分割结果马尔可夫链吸收图中每个节点的值。;选定的图纸:图5A;版权:(C)2019,JPO&INPIT

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