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A Novel Approach of Computer Vision Navigation for Mobile Tracking Robot

机译:移动跟踪机器人计算机视觉导航的新方法

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Based on the study of developments in many fields of computer vision, a new approach of computer vision navigation for mobile tracking robot is presented in this paper. The main steps of this approach include object recognition, distance estimation and motion capture. Although these technologies adopted seem to be irrelevant, the combination of them is effective. Interesting observations on distance estimation and motion capture are discussed in detail. The reasons resulting in error of distance estimation are analyzed. According to the models and formulas of distance estimation error, the error type could be found, which is helpful to decrease the distance error. Based on the diamond search (DS)technology applied in MPEG-4, an improved DS algorithm is developed to meet the special requirement of mobile tracking robot. Experimental results also show the validity of the approach.
机译:在研究计算机视觉各个领域发展的基础上,提出了一种新的移动跟踪机器人计算机视觉导航方法。这种方法的主要步骤包括对象识别,距离估计和运动捕获。尽管采用的这些技术似乎无关紧要,但将它们组合使用是有效的。详细讨论了有关距离估计和运动捕获的有趣观察。分析了导致距离估计误差的原因。根据距离估计误差的模型和公式,可以找到误差类型,有助于减小距离误差。基于在MPEG-4中应用的菱形搜索(DS)技术,开发了一种改进的DS算法以满足移动跟踪机器人的特殊要求。实验结果也证明了该方法的有效性。

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