在单个应用程序中实时收集和分析3-Kinect v2骨骼数据

Serguei A. Mokhov, Miao Song, Jonathan Llewellyn, J. Zhang, A. Charette, Ruofan Wu, Shuiying Ge
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引用次数: 5

摘要

这是不可能做可靠的3D骨骼跟踪与目前公开可用的廉价消费级硬件/软件工具,如深度相机和他们的sdk使用多个这样的传感器在一个单一的应用程序(例如,游戏,动画的运动记录,或3D扫描)。我们成功地将3个Kinect v2传感器连接到单个应用程序中,以在不使用微软Kinect 2 SDK的情况下跟踪骨骼数据。我们创建了一个新的工具包——MultiCamTk++,用于3个或更多的kinect v2,并在c++中提供骨架支持。它是我们之前的版本MultiCamTk的继承者,用Processing/Java完成,没有骨骼跟踪。即使在运行时断开1- 2个kinect,我们也能实现高弹性和良好的帧率。我们能够从多个来源接收骨架数据,以关联空间3D用户跟踪的坐标。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Real-time collection and analysis of 3-Kinect v2 skeleton data in a single application
It was not possible to do reliable 3D skeletal tracking with the currently publicly available inexpensive consumer grade hardware/software tools, such as depth cameras and their SDKs using multiple of such sensors in a single application (e.g., a game, motion recording for animation, or 3D scanning). We successfully attached 3 Kinect v2 sensors to a single application to track skeletal data without using Microsoft's Kinect 2 SDK. We created a new toolkit -- MultiCamTk++ for 3 or more Kinects v2 with skeleton support in C++. It is a successor of our previous version, MultiCamTk, done in Processing/Java that had no skeletal tracking. We achieve high resiliency and good frame rate even if 1--2 Kinects are disconnected at runtime. We are able to receive the skeleton data from the multiple sources to correlate the coordinates for spatial 3D user tracking.
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