Open AccessSistem Pelacakan Objek Menggunakan Kombinasi Algoritma Optical Flow dan Template Matching
Author(s) -
Ahmad Fahriannur,
Ronny Mardiyanto,
Meilana Siswanto
Publication year - 2018
Publication title -
jurnal teknologi dan sistem komputer
Language(s) - English
Resource type - Journals
eISSN - 2620-4002
pISSN - 2338-0403
DOI - 10.14710/jtsiskom.6.1.2018.13-17
Subject(s) - template matching , optical flow , computer vision , matching (statistics) , euclidean distance , tracking (education) , artificial intelligence , pixel , computer science , tracking system , video tracking , ball (mathematics) , mathematics , algorithm , object (grammar) , image (mathematics) , geometry , psychology , pedagogy , filter (signal processing) , statistics
This study aimed to develop a tracking system algorithm by combining optical flow and template matching algorithms to strengthen tracking and minimize the resulting errors. The system has been tested on a football video game with the ball as a tracking object. The optical flow and template matching algorithms are used interchangeably based on the coordinates of both ranges calculated using the Euclidean distance equation. The result shows that the system is able to do tracking, although it is temporarily blocked by other objects, more stable and the distance error between the coordinates of the tracking result and the actual coordinates is not more than 110 pixels compared to using only optical flow or template matching algorithm.