Barelang-FC足球机器人适度目标检测方法介绍

Susanto, Gobar Bethara Agung Dewasakti, Riska Analia
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引用次数: 2

摘要

目前,对仿人机器人足球的研究越来越受到社会各界的关注。大多数研究者强调人形足球机器人在球场上的表现,特别是在目标检测方面。目标检测需要轻,以便于实时实现。在本文中,我们将把CVblobs和霍夫圆方法(CBHM)相结合,使用一种适度的算法来检测现场的白球。为了增强人眼对白色物体的识别能力,采用了由RGB色空间变换而来的YUV色空间。该方法在实时人形足球机器人Barelang-Fc中实现。实验结果表明,该方法能够准确地检测出场地中其他颜色球中的白球。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Introduction to Modest Object Detection Method of Barelang-FC Soccer Robot
The study of humanoid robot soccer was getting popular among the community nowadays. Most of the researcher emphasizes the performance of humanoid robot soccer in the field, especially in object detection. The object detection needs to be light so that it can be implemented in real-time easily. In this paper, we will focus on the detection of white ball in the field using a modest algorithm by combining the CVblobs and Hough circle method (CBHM). In order to enhance the vision to detect a white object, the YUV color spaces have been chosen which is transform from RGB color space. This method implemented in real-time humanoid robot soccer called Barelang-Fc. The experimental results validated that the proposed method capable of detecting the white ball among of other colors balls in the field precisely.
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