Image-Based Automated Hit Detection and Score Calculation on a Steel Dartboard

Stefan Hensel, M. Marinov, Florian Sprich, Borislav Ganev
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引用次数: 1

Abstract

This paper presents an approach for implementing an automated hit detection and score calculation system for a steel dartboard using a standard webcam. First, the rectilinear field separations of the dartboard are described mathematically by means of line slopes and are than stored. These slopes serve as a basis for later score calculation. In addition, thrown darts have to be detected and the pixel at which the dart cuts the dartboard has to be determined. When this information is known, a comparison is made using the line slopes, allowing the field number of the hit to be detected. The decision for single, double or triple hit is made by evaluating the defined colors on the dartboard. All these functions are then packaged in a Matlab GUI.
基于图像的钢靶自动命中检测与得分计算
本文提出了一种利用标准网络摄像头实现钢靶自动命中检测和计分系统的方法。首先,用直线斜率的数学方法来描述飞镖的直线场分离,并将其存储起来。这些坡度作为以后计算分数的基础。此外,必须检测投掷的飞镖,并确定飞镖与飞镖靶相交的像素点。当此信息已知时,使用线斜率进行比较,从而可以检测到命中的字段数。决定是一次、两次还是三次命中是通过评估飞镖上定义的颜色来做出的。然后将所有这些函数打包在Matlab GUI中。
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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