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(A) Vision for 2050 - Context-Based Image Understanding for a Human-Robot Soccer Match

机译:(A)2050年愿景-人机足球比赛的基于上下文的图像理解

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We believe it is possible to create the visual subsystem needed for the RoboCup 2050 challenge - a soccer match between humans and robots - within the next decade. ?In this position paper, we argue, that the basic techniques are available, but the main challenge will be to achieve the necessary robustness. We propose to address this challenge through the use of probabilistically modeled context, so for instance a visually indistinct circle is ?accepted as the ball, if it fits well with the ball's motion model and vice versa.Our vision is accompanied by a sequence of (partially already conducted) experiments for its verification. ?In these experiments, a human soccer player carries a helmet with a camera and an inertial sensor and the vision system has to extract all information from that data, a humanoid robot would need to take the human's place.
机译:我们相信,在未来十年内,有可能创建RoboCup 2050挑战赛所需的视觉子系统-人与机器人之间的足球比赛。在本立场文件中,我们认为基本技术是可用的,但是主要挑战将是实现必要的鲁棒性。我们建议通过使用概率建模的上下文来应对这一挑战,例如,如果一个视觉上看不清的圆与球的运动模型非常吻合,则被认为是球,反之亦然。我们的视觉伴随着一系列(部分已经进行的实验)进行验证。在这些实验中,人类足球运动员携带着带摄像头和惯性传感器的头盔,视觉系统必须从该数据中提取所有信息,因此需要有人形机器人来代替人类。

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