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Investigating Human-Computer Interaction with Motion-Capture Algorithms using a Microsoft Kinect

机译:使用microsoft Kinect研究人机交互与运动捕获算法

摘要

This bachelor thesis investigates tracking of the human body in a 3D environment using known computer-visual algorithms. This is done by evaluating a variety of filter-, detection-, and trackingalgorithms,and assessing their strength and weaknesses in different environmental conditions thatare found in most indoor situations. We will also discuss different combinations of algorithms that work together to optimize efficiency in a variety of conditions with limited resources.The purpose of the developed application has been to evaluate how the algorithms performand investigate the different possibilities to track using an ordinary laptop and a Microsoft Kinect. Finally, we discuss at what level of detail the tracking could be used and investigate if this kind of system could manage emotional capturing i.e. tracking facial expressions simultaneously with bodymovement.
机译:该学士学位论文使用已知的计算机视觉算法研究在3D环境中对人体的跟踪。这是通过评估各种过滤,检测和跟踪算法,并评估它们在大多数室内情况下在不同环境条件下的优缺点来完成的。我们还将讨论算法的不同组合,这些组合可以一起在有限的资源条件下优化效率。开发应用程序的目的是评估算法的性能,并研究使用普通笔记本电脑和Microsoft进行跟踪的各种可能性Kinect。最后,我们讨论可以在什么级别的细节上使用跟踪,并研究这种系统是否可以管理情感捕捉,即在跟踪面部表情的同时进行身体运动。

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