DOI: https://doi.org/10.14710/jtsiskom.6.1.2018.13-17

Sistem Pelacakan Objek Menggunakan Kombinasi Algoritma Optical Flow dan Template Matching

Object Tracking System Using Combination of Optical Flow Algorithm and Template Matching

1Politeknik Negeri Jember, Indonesia

2Institut Teknologi Sepuluh Nopember Surabaya, Indonesia

Received: 5 Dec 2017; Published: 31 Jan 2018.
Open Access Copyright (c) 2018 Jurnal Teknologi dan Sistem Komputer under http://creativecommons.org/licenses/by-sa/4.0.

Citation Format:
Abstract

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.

Fulltext View|Download Email colleagues
Keywords: Tracking;object;optical flow;template matching

Article Metrics:

Article Info
Section: Original Research Articles
Language : ID
Related articles
PSS Tuning on Power Generator System using Flower Pollination Algorithm Landslide monitoring system based on water adsorption rate utilizing humidity, accelerometer, and temperature sensors Edge detection comparative analysis using Roberts, Sobel, Prewitt, and Canny methods Pandemic dynamics prediction in Java using the Moving Average and the Knowledge Growing System methods More related articles
Most cited articles
Location Based Service Panduan Pencarian Rumah Sakit dengan Platform Android di Kota Semarang Perancangan Papan Informasi Digital Berbasis Web pada Raspberry pi Genetic Algorithm for Optimizing Food Composition for Hypertension Patients Sistem Informasi Manajemen Pemesanan Dan Penjualan Pada UNDIP Distro Aplikasi Pencarian Rute Perguruan Tinggi Berbasis Android Menggunakan Location Based Service (LBS) di Kota Semarang More cited articles
  1. S. Shirgeri, P. U. Naik, G. R. Udupi, and G. A. Bidkar, "Design and Development of Optical Flow Based Moving Object Detection and Tracking (OMODT) System," International Journal of Computational Engineering Research, vol. 03, no. 4, pp. 65-72, 2013
  2. M. Sahasri, C. Gireesh, "Object Motion Detection and Tracking for Video Surveilance," International Journal of Engineering Trends and Technology (IJETT)., Special Issue, pp. 161-164, April 2017
  3. A. Salhi, and A. Y. Jammoussi, "Object Tracking System using Camshift, Meanshift and Kalman Filter," International Journal Of Electronics And Communication Engineering, vol. 6, no.4, pp. 421-426, 2012
  4. A. Fahriannur, R. Mardiyanto, and D. Purwanto, "Sistem Tracking Obyek Menggunakan Kamera untuk Aplikasi Target Locking," in Proceeding the 14th Seminar on Intelligent technology And Its Applications, 24 September 2013, Surabaya, 2013
  5. L. Dan, J. Dai-Hong, B. Rong, Z. Wen-Jing, Z. Wen-Jing, and W. Chao, "Moving Object Tracking Method Based on Improved Lucas-Kanade Sparse Optical Flow Algorithm," in 2017 International Smart Cities Conference (ISC2), 14-17 September 2017, Wuxi, China, 2017
  6. C. Xiu, and X. Pan, "Tracking Algorithm Based On The Improved Template matching," in 2017 Chinese Control and Decision Conference (CCDC), 28-30 Mei 2017, Chongqing, China, 2017
  7. S. Battiato, G. M. Farinella, A. Furnari, G. Puglisi, A. Snijders, and J. Spiekstra. “Vehicle Tracking Based on Customized Template Matching," in 2014 International Conference on Computer Vision Theory and Applications (VISAPP), 5-8 Januari 2014, Lisbon, Portugal, 2014
  8. M. Lalonde, S. Foucher, L. Gagnon, E. Pronovost, M. Derenne, and A. Janelle, "A System to Automatically Track Humans and Vehicles with a PTZ Camera," in SPIE Defense & security : Visual information Processing XVI, 10 April 2007, Orlando, Florida, USA, 2007
  9. N. Prabhakar, V. Vaithiyanathan, A. P. Sharma, and A. Singh, "Object Tracking using Frame Difference and Template Matching," Research Journal of Applied Sciences, Engineering and Technology, vol. 4, no. 24, pp. 5497-5501, 2012
  10. E. Parrila, D. Ginestar, J. L. Hueso, J. Riera, and J. R. Torregrosa, "Handling Occlusion in Optical Flow Algorithm for Object Tracking," Computers & Mathematics with Application, vol. 56, no. 3, pp. 733-742, 2008
  11. N. Nidhi, "Image Processing and Object Detection," International Journal of Applied Research, vol. 1, no. 9, pp. 396-399, 2015
  12. M. S. Kalas, "Real Time Face Detection and Tracking Using OpenCV," International Journal of Soft Computing and Artificial Intelligence, vol. 2, no.1, pp. 41-44, 2014
  13. B. Tharanidevi, R. Vadivu, and K. B. Sethupathy, "Moving Object Tracking Distance and Velocity Determination Based on Background Subtraction Algorithm," IOSR Journal of Electronics and Communication Engineering, vol. 8, no. 1, pp. 61-66, 2013
  14. M. Sharma, and A. Batra, "Analysis of Distance Measures in Content Based Image Retrieval," Global Journal Of Computer Science and Technology, vol. 14, no. 2, pp. 11-16, 2014
  15. J. C. Elizondo-Leal, E. F. Parra-González, and J. G. Ramírez-Torres, "The Exact Euclidean Distance Transform: A New Algorithm for Universal Path Planning," International Journal of Advanced Robotic System, vol. 10, no. 6, pp. 1-10, 2013

Last update:

No citation recorded.

Last update: 2024-11-24 17:34:21

No citation recorded.