速度滑冰的现场动作捕捉:逃离跑步机

J. Boyd, Andrew Godbout, C. Thornton
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引用次数: 14

摘要

Kinect深度成像仪的出现为动作捕捉应用打开了大门,而使用以前的技术,动作捕捉应用的成本要高得多。在某种程度上,Kinect通过专注于一个非常特定的应用领域来实现这一目标,从而缩小了对动作捕捉系统的要求。具体来说,当摄像机静止时,Kinect动作捕捉在一个小的物理空间内效果最好。我们试图将Kinect动作捕捉扩展到运动训练中——特别是速度滑冰——通过将Kinect放置在移动的机器人平台上来就地捕捉动作。运动员要移动很远的距离,所以移动平台解决了Kinect有限的观看区域。随着平台的移动,我们还必须考虑运动员表演时所处的动态背景。结果是一个新颖的、视觉引导的机器人平台,它可以跟随运动员,让我们捕捉到运动和图像,这在跑步机上是不可能实现的。我们详细描述了该系统,并给出了该系统在典型训练速度下捕捉速滑运动员运动的例子。
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In Situ Motion Capture of Speed Skating: Escaping the Treadmill
The advent of the Kinect depth imager has opened the door to motion capture applications that would have been much more costly with previous technologies. In part, the Kinect achieves this by focusing on a very specific application domain, thus narrowing the requirement for the motion capture system. Specifically, Kinect motion capture works best within a small physical space while the camera is stationary. We seek to extend Kinect motion capture for use in athletic training - speed skating in particular - by placing the Kinect on a mobile, robotic platform to capture motion in situ. Athletes move over large distances, so the mobile platform addresses the limited viewing area of the Kinect. As the platform moves, we must also account for the now dynamic background against which the athlete performs. The result is a novel, visually-guided robotic platform that follows athletes, allowing us to capture motion and images that would not be possible with a treadmill. We describe the system in detail and give examples of the system capturing the motion of a speed skater at typical training speeds.
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