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

Main Authors: Pamungkas, Elki Muhamad, Sumbodo, Bakhtiar Alldino Ardi, Candradewi, Ika
Format: Article info application/pdf Journal
Bahasa: eng
Terbitan: Indonesian Computer, Electronics, and Instrumentation Support Society (IndoCEISS) , 2017
Subjects:
Online Access: https://journal.ugm.ac.id/ijeis/article/view/15405
https://journal.ugm.ac.id/ijeis/article/view/15405/15991
ctrlnum article-15405
fullrecord <?xml version="1.0"?> <dc schemaLocation="http://www.openarchives.org/OAI/2.0/oai_dc/ http://www.openarchives.org/OAI/2.0/oai_dc.xsd"><title lang="id-ID">Sistem Pendeteksi dan Pelacakan Bola dengan Metode Hough Circle Transform, Blob Detection, dan Camshift Menggunakan AR.Drone</title><creator>Pamungkas, Elki Muhamad</creator><creator>Sumbodo, Bakhtiar Alldino Ardi</creator><creator>Candradewi, Ika</creator><subject lang="id-ID"/><subject lang="id-ID">Parrot AR.Drone, OpenCV, Robot Operating System</subject><description lang="id-ID">&#xA0;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&#x2019;t &#xA0;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.&#xA0;&#xA0;&#xA0;&#xA0;&#xA0;&#xA0;&#xA0;&#xA0;&#xA0;&#xA0;&#xA0; 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 &#xA0;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%</description><publisher lang="en-US">Indonesian Computer, Electronics, and Instrumentation Support Society (IndoCEISS)</publisher><contributor lang="id-ID"/><date>2017-04-29</date><type>Journal:Article</type><type>Other:info:eu-repo/semantics/publishedVersion</type><type>Other:</type><type>File:application/pdf</type><identifier>https://journal.ugm.ac.id/ijeis/article/view/15405</identifier><identifier>10.22146/ijeis.15405</identifier><source lang="en-US">IJEIS (Indonesian Journal of Electronics and Instrumentation Systems); Vol 7, No 1 (2017): April; 1-12</source><source>2460-7681</source><source>2088-3714</source><language>eng</language><relation>https://journal.ugm.ac.id/ijeis/article/view/15405/15991</relation><rights lang="en-US">Copyright (c) 2017 IJEIS - Indonesian Journal of Electronics and Instrumentation Systems</rights><rights lang="en-US">http://creativecommons.org/licenses/by-sa/4.0</rights><recordID>article-15405</recordID></dc>
language eng
format Journal:Article
Journal
Other:info:eu-repo/semantics/publishedVersion
Other
Other:
File:application/pdf
File
Journal:Journal
author Pamungkas, Elki Muhamad
Sumbodo, Bakhtiar Alldino Ardi
Candradewi, Ika
title Sistem Pendeteksi dan Pelacakan Bola dengan Metode Hough Circle Transform, Blob Detection, dan Camshift Menggunakan AR.Drone
publisher Indonesian Computer, Electronics, and Instrumentation Support Society (IndoCEISS)
publishDate 2017
topic Parrot AR.Drone
OpenCV
Robot Operating System
url https://journal.ugm.ac.id/ijeis/article/view/15405
https://journal.ugm.ac.id/ijeis/article/view/15405/15991
contents 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%
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institution Universitas Gadjah Mada
institution_id 19
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library Perpustakaan Pusat Universitas Gadjah Mada
library_id 488
collection IJEIS (Indonesian Journal of Electronics and Instrumentation Systems)
repository_id 1089
subject_area Rekayasa
city SLEMAN
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repoId IOS1089
first_indexed 2017-05-31T06:25:54Z
last_indexed 2017-05-31T06:25:54Z
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