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A Real-Time Target Tracking Method based on Search and Updating of Reference Image

机译:基于参考图像搜索和更新的实时目标跟踪方法

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Recently, in the field of Computer Vision, the research on "Looking at People" technique has been very active. Currently, we are also pushing research on an LPS(Looking at People System) which is an attribute-information conscious system. In addition, the research on autonomous robot has also been active. The technology regarding the identification of a person by the sound or image has been introduced in such robots. Such technology impresses robots with intellectual existence, and raises affinity with people. In light of this, interesting applications can be created by combining LPS technique and autonomous robots. That is, a basic system for initiating interaction between humans and robots can be realized by implementing a system which gazes at people as a robot's vision. We propose the simple search method(SSM), which is a target tracking technique applicable to an autonomous robot's vison, and show its validity.
机译:近来,在计算机视觉领域,关于“看着人”技术的研究非常活跃。当前,我们也在推动对LPS(Looking at People System)的研究,该系统是一种属性信息意识系统。此外,对自主机器人的研究也很活跃。在这种机器人中已经引入了关于通过声音或图像来识别人的技术。这样的技术给机器人留下了深刻的智力印象,并提高了人们的亲和力。有鉴于此,通过结合LPS技术和自主机器人可以创建有趣的应用程序。即,可以通过实现以人的视线作为机器人的视野的系统来实现用于启动人与机器人之间的交互的基本系统。我们提出了一种简单的搜索方法(SSM),它是一种适用于自主机器人视觉的目标跟踪技术,并证明了其有效性。

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