Assessment of computer vision methods for motion tracking of planar mechanisms
Article
-
- Overview
-
- Research
-
- Identity
-
- Additional Document Info
-
- View All
-
Overview
abstract
-
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. © IMechE 2021.
publication date
funding provided via
published in
Research
keywords
-
camera calibration; computer vision method; performance index; planar mechanism; Target points Calibration; Cameras; Mechanisms; Motion analysis; Target tracking; Camera calibration; Comparatives studies; Computer vision method; Low-costs; Operation conditions; Performance; Performance indices; Planar mechanism; Research studies; Target point; Computer vision
Identity
Digital Object Identifier (DOI)
PubMed ID
Additional Document Info
start page
end page
volume
issue