Person Segmentation in Human Height Measurement Using Bodypix

Zul Herri, Y. Siregar, F. Fahmi
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Abstract

Image processing can be used to measure height. Most research in this measurement uses a place adjusted to the green screen background to facilitate image segmentation. Using a green screen background can facilitate the image segmentation process, but using the space in question is inefficient. In this paper, a height measurement experiment is carried out using the body pix module to segment images of human height. The body pix module is expected to make the image processing process more efficient and inexpensive. From the study results, the best height calculation accuracy using the body pix module is 99.927059%. This experiment does not require any additional devices on the background of the human object, so it is cheaper and more efficient.
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基于Bodypix的人体身高测量分割
图像处理可以用来测量高度。在此测量中,大多数研究使用一个位置调整为绿色屏幕背景,以方便图像分割。使用绿色背景可以简化图像分割过程,但使用有问题的空间是低效的。本文利用人体像素模块对人体身高图像进行分割,进行了身高测量实验。人体像素模块有望使图像处理过程更加高效和廉价。从研究结果来看,使用body像素模块计算高度的最佳精度为99.927059%。该实验不需要在人体物体的背景上附加任何设备,因此成本更低,效率更高。
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