Research Article
The Design of Object Tracking System in Robot Vision Using Circle Hough Transform and CAMSHIFT Methods
@INPROCEEDINGS{10.4108/eai.24-10-2018.2280634, author={Muhammad Luqman Bukhori and Aris Triwiyatno and R. Rizal Isnanto}, title={The Design of Object Tracking System in Robot Vision Using Circle Hough Transform and CAMSHIFT Methods}, proceedings={The 1st International Conference on Computer Science and Engineering Technology Universitas Muria Kudus}, publisher={EAI}, proceedings_a={ICCSET}, year={2018}, month={11}, keywords={robot vision circle hough transform camshift}, doi={10.4108/eai.24-10-2018.2280634} }- Muhammad Luqman Bukhori
Aris Triwiyatno
R. Rizal Isnanto
Year: 2018
The Design of Object Tracking System in Robot Vision Using Circle Hough Transform and CAMSHIFT Methods
ICCSET
EAI
DOI: 10.4108/eai.24-10-2018.2280634
Abstract
Robot vision is a combination of cameras with computational algorithms that are used to manipulate the visual data in real time. The visual data which are obtained will be used as a reference for doing detection and tracking of the object. In this study, it needs a system that can detect and track a ball correctly on any particular circumstances. Therefore, the system is created by using two methods. Circle Hough Transform method is used to detect a ball, while CAMSHIFT method is used to track the ball. Combining these two methods is very suitable with 100% accuracy. In its application, the object ball can be detected correctly even though it full, three-quarter, and the half part of the ball is visible. The farthest distance obtained robots to track the ball which reaches up to 900 cm, with a processing time of approximately 0.1073 seconds.