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Algorithm of Tracking of Intersecting Objects Based on a Sequence of Depth Images

机译:基于深度图像序列的相交对象跟踪算法

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摘要

A problem of tracking of a group of identical objects with a variable shape and a large number of occlusions is considered. This problem is important for biology and safety systems. An algorithm of detection and tracking of biological objects on the basis of a sequence of depth images is proposed. Being tested, the algorithm provides one mistake per 193 collisions for the worst sequence.
机译:考虑到跟踪具有可变形状和大量遮挡的一组相同对象的问题。这个问题对生物学和安全系统很重要。提出了一种基于深度图像序列的生物物体检测与跟踪算法。经过测试,该算法针对最坏的序列,每193次碰撞提供一个错误。

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