基于主成分分析的球运动检测智能卡罗姆台球辅助系统的自动解路径生成和实际路径预测

IF 2.3 4区 计算机科学 Q2 Computer Science International Journal of Advanced Robotic Systems Pub Date : 2022-07-01 DOI:10.1177/17298806221118865
Jungjin Park, Jaebyung Park
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引用次数: 0

摘要

本文提出了一种智能卡罗姆台球辅助系统,用于卡罗姆台球新手。由于新手很难找到主球的解路径,ICBAS自动计算出给定球配置的解路径,并由单目视觉检测到,并显示在引导监视器中。为了快速、系统地计算求解路径,采用了台球领域中最具代表性的五半系统求解方法。此外,主球的路径随球杆方向的变化而实时预测,并投射到台球桌床上。通过比较主球的解路径和投射路径,玩家可以轻松成功地击中主球。为了在台球运动过程中自动提供解路径和预测路径,在线性运动约束下,采用主成分分析对球的运动进行检测,对图像噪声、遮挡等具有鲁棒性。当所有的球都停止时,两条路径都会重新计算并提供给玩家。为了验证所提出的智能卡罗姆台球辅助系统的可行性,在真实台球桌上进行了实验。
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Intelligent Carom Billiards Assistive System for automatic solution path generation and actual path prediction with principal component analysis-based ball motion detection
This article proposes an Intelligent Carom Billiards Assistive System for a novice at Carom Billiards. Since a novice player is very difficult to find the solution paths of the cue ball, the ICBAS automatically calculates the solution paths for given ball configuration which is detected by a monocular vision and displays them in a guidance monitor. For rapid and systematically calculating the solution paths, the five and half system that is the most representative method in the field of billiard is implemented. In addition, the paths of the cue ball changed by the direction of the cue stick are predicted in real time and projected onto the pool table bed. By comparing the solution paths of the cue ball with the projected paths, a player can hit the cue ball easily and successfully. For automatically providing the solution paths and the predicted paths during billiard game, the ball movement is detected by the principal component analysis under linear motion constraints robustly against image noise, occlusion, and so on. Whenever all of the balls stop, both paths are newly calculated and provided for a player. For verifying the feasibility of the proposed Intelligent Carom Billiards Assistive System, the experiments are conducted with the real pool table.
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来源期刊
CiteScore
6.50
自引率
0.00%
发文量
65
审稿时长
6 months
期刊介绍: International Journal of Advanced Robotic Systems (IJARS) is a JCR ranked, peer-reviewed open access journal covering the full spectrum of robotics research. The journal is addressed to both practicing professionals and researchers in the field of robotics and its specialty areas. IJARS features fourteen topic areas each headed by a Topic Editor-in-Chief, integrating all aspects of research in robotics under the journal''s domain.
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