Real-time human motion sensing based on vision-based inverse kinematics for interactive applications
Real-time human motion sensing based on vision-based inverse kinematics for interactive applications
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DOI：
10.1109/icpr.2004.1334531
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发表时间：
2004-08
期刊：
影响因子：
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通讯作者：
N. Date;H. Yoshimoto;Daisaku Arita;R. Taniguchi
中科院分区：
文献类型：
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作者：
N. Date;H. Yoshimoto;Daisaku Arita;R. Taniguchi
基于视觉的人体运动传感具有不对人体施加任何物理限制的优点，这为测量人体运动提供了一种自然的方法。然而，由于人体具有高度的自由度，其基于视觉的分析并不简单且通常耗时，因此其实时处理并不容易实现。在这里，我们已经开发了一种方法，其中人类姿势分析从有限数量的视觉线索。它是逆运动学数值分析和视觉搜索的结合。该方法基于逆运动学的一般框架，因此可以使用相对复杂的人体模型，生成自然的人体运动。在我们的实验研究中，我们表明，我们实现的系统在PC集群上实时工作。
Vision-based human motion sensing has a strong merit that it does not impose any physical restrictions on humans, which provides a natural way of measuring human motion. However, its real-time processing is not easy to realize, because a human body has a high degrees of freedom, whose vision-based analysis is not simple and is usually time consuming. Here, we have developed a method in which human postures are analyzed from a limited number of visual cues. It is a combination of numerical analysis of inverse kinematics and visual search. Our method is based on a general framework of inverse kinematics, and, therefore, we can use relatively complex human figure model, which can generate natural human motion. In our experimental studies, we show that our implemented system works in real-time on a PC-cluster.