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Assessment of computer vision methods for motion tracking of planar mechanisms
Proceedings of the Institution of Mechanical Engineers, Part C: Journal of Mechanical Engineering Science ( IF 2 ) Pub Date : 2021-10-30 , DOI: 10.1177/09544062211049866
Juan C Arellano-González 1, 2 , Hugo I Medellín-Castillo 2 , J. Jesús Cervantes-Sánchez 1 , Mario A García-Murillo 1
Affiliation  

One of the main challenges on the use of planar mechanisms is to verify and monitor that the trajectories described by the mechanism correspond to those originally required. However, very few research studies have focused on tracking and monitoring the motion of target points located on the mechanisms during operation conditions. In this paper, a comparative study to evaluate the performance of several computer vision methods (CVMs) when used in motion tracking of planar mechanisms is presented. The aim is to compare and identify the best CVM, in terms of precision, speed, low cost, and computational performance, to track the movement of planar mechanisms. For this purpose, a case study corresponding to a planar four-bar mechanism is selected and analysed. The results show that the vision methods based on the homogeneous and non-homogeneous solution of the camera calibration matrix are a technological alternative for monitoring motion trajectories of planar mechanisms.



中文翻译:

用于平面机构运动跟踪的计算机视觉方法评估

使用平面机构的主要挑战之一是验证和监控机构描述的轨迹是否与最初要求的轨迹相对应。然而,很少有研究关注在运行条件下跟踪和监测位于机构上的目标点的运动。在本文中,提出了一项比较研究,以评估几种计算机视觉方法 (CVM) 在用于平面机构的运动跟踪时的性能。目的是在精度、速度、低成本和计算性能方面比较和确定最佳 CVM,以跟踪平面机构的运动。为此,选择并分析了对应于平面四杆机构的案例研究。

更新日期:2021-10-30
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