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首页> 外文期刊>Transactions of the Institute of Measurement and Control >Tracking uncooperative person using a dynamic vision platform
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Tracking uncooperative person using a dynamic vision platform

机译:使用动态视觉平台跟踪不合作的人

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摘要

In this paper, first a head-tracking algorithm using assembled features and the character of motion continuity (HTA-AC) is proposed. It has been proved to be more robust and effective than existing algorithms. Second, based on the latest research results of newly developed nonlinear dimensionality reduction theory, a theoretic head-tracking algorithm (T-HTA) is proposed for the first time. The tracking results of these two algorithms have something in common and indicates that our practical new head-tracking algorithm (HTA-AC) has some mathematically intrinsic meanings. Third, a complicated mobile robotic system of human height was built up in our lab. It has independent hardware and software controls on the body and head of the robot. The system is used to validate our HTA-AC.
机译:本文首先提出了一种利用组合特征和运动连续性(HTA-AC)的头部跟踪算法。它已被证明比现有算法更健壮和有效。其次,根据最新开发的非线性降维理论的最新研究成果,首次提出了一种理论上的头部跟踪算法(T-HTA)。这两种算法的跟踪结果有一个共同点,这表明我们实用的新型头部跟踪算法(HTA-AC)具有一些数学上的内在含义。第三,在我们的实验室中建立了一个复杂的,具有人体高度的移动机器人系统。它在机器人的身体和头部具有独立的硬件和软件控件。该系统用于验证我们的HTA-AC。

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