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Vision-based modeling of human behavior in production process

机译:基于视觉的生产过程中人类行为建模

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This paper proposes a vision-based human modeling by using both analytical property of human body performance and the concurrent gaze pattern for production process. Authors developed two systems required for 3D motion analysis: firefly capturing camera (FCC) characterized by the monocular camera with large spherical aberration of lens measures the 3D positions of point light sources attached on an object in real time without any special lighting, and passive eye camera (PEC) attached in front of the head extracts irises motion based on the facial image processing such as Hough transform for iris detection and gaze analysis. Authors demonstrated FCC and PEC are effective to construct the vision-based model of human behavior in production process.
机译:本文利用人体性能的分析特性和生产过程中的并发注视模式,提出了一种基于视觉的人体建模方法。作者开发了两种3D运动分析所需的系统:萤火虫捕捉相机(FCC),其特征是具有大球面像差的单眼相机,无需任何特殊照明即可实时测量附着在物体上的点光源的3D位置,以及被动眼安装在头部前部的摄像头(PEC)基于面部图像处理(例如霍夫变换)提取虹膜运动,以进行虹膜检测和注视分析。作者证明了FCC和PEC可有效地构建生产过程中基于视觉的人类行为模型。

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