Sistem Pendeteksi dan Pelacakan Bola dengan Metode Hough Circle Transform, Blob Detection, dan Camshift Menggunakan AR.Drone

• Main Authors: Elki Muhamad Pamungkas, Bakhtiar Alldino Ardi Sumbodo, Ika Candradewi
• Format: Article
• Language: Indonesian
• Published: Universitas Gadjah Mada 2017-04-01
• Series: IJEIS (Indonesian Journal of Electronics and Instrumentation Systems)
• Subjects: Parrot AR.Drone, OpenCV, Robot Operating System
• Online Access: https://jurnal.ugm.ac.id/ijeis/article/view/15405
• ISSN: 2088-3714; 2460-7681

Parrot AR.Drone is one type of quadrotor UAV. Quadrotor is operated manually with remote control and automatically using GPS (Global Positioning System), but using GPS in tracking mission an object has disadvantage that can’t  afford quadrotor position relative to object. Quadrotor require other control methods to perform object tracking. One approach is utilize digital image processing. In this research is designed detection and tracking ball system with digital image processing using OpenCV library and implemented on platform Robot Operating System. The methods which used is hough transform circle, blob detection and camshif.             The results of this research is system on AR.Drone capable of detecting and tracking ball. Based on the test results it was concluded that the maximum distance of system is capable to detecting ball with diameter of 20 cm using hough transform circle method is 500 cm and using blob detection method is 900 cm. Average time detection process to detect the ball using hough transform circle that is 0.0054 second and  for blob detection method is 0.0116 second. The success rate of tracking the ball using camshift method from the results of detection hough circle transfom is 100% while from result of detection blob detection is 96.67%