Control of computer process using image processing and computer vision for low-processing devices

S. Prasad, Abhay Prakash, S. K. Peddoju, D. Ghosh
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引用次数: 4

Abstract

In this paper a fast and efficient free hand motion detection method is proposed. Presenting an automated intelligent computer vision based HCI system to control and interact without skin-color MAP algorithm to detect motion with more accurate and more natural and efficient way. The experiment involves a very simple mathematics for color tolerance and for motion detection used a trigonometric concept further for action performance based on the gesture definition to compute on low-computing machine such as mobile devices. Here, hand gesture is used to operate presentation by the presenters for easiness while presenting in front of a large gathering and practically sounds good in performance.
利用图像处理和计算机视觉对低处理设备进行计算机过程控制
本文提出了一种快速高效的徒手运动检测方法。提出了一种基于自动化智能计算机视觉的人机交互控制系统,无需肤色MAP算法,以更准确、更自然、更高效的方式检测运动。这个实验涉及到一个非常简单的颜色公差和运动检测的数学,使用了一个三角概念来进一步计算基于手势定义的动作性能,在低计算机器(如移动设备)上计算。在这里,演讲者在大型集会上演讲时,为了轻松,手势是用来操作演讲的,而且实际上听起来很好。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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