Deteksi dan Tracking Pemain Sepakbola menggunakan Histogram of Oriented Gradients (HOG) dan Kalman Filter

Authors

  • Kurniawan Nur Ramadhani Universitas Telkom
  • Ade Saepul Mugni Universitas Telkom
  • Mohamad Syahrul Mubarok Universitas Telkom

DOI:

https://doi.org/10.21108/INDOJC.2018.3.1.211

Abstract

Dalam penelitian ini, dibangun sebuah sistem untuk melakukan tracking pemain sepakbola pada data video. Penelitian ini menggunakan ekstraksi ciri Histogram of Oriented Gradient (HOG) yang cocok untuk digunakan pada kondisi intensitas pencahayaan tidak stabil. Selain melakukan deteksi pemain bola, dalam penelitian ini dilakukan pengklasifikasian tim menggunakan clustering pada vektor ciri color moment. Untuk menjaga performansi deteksi, dilakukan evaluasi tracking menggunakan Kalman Filter. Berdasarkan hasil penelitian, sistem tracking yang dibangun memberikan performansi F1-score tertinggi mencapai 0.87 (skala 0-1) dengan berbagai kondisi pencahayaan video.

Downloads

Download data is not yet available.

References

Leser, Roland, Arnold Baca, and Georg Ogris. Local Positioning Systems in (Game) Sports. Sensors 11.10 (2011): 9778-9797.

Halvorsen, P., Sægrov, S., Mortensen, A., Kristensen, D. K., Eichhorn, A., Stenhaug, M., ...& Johansen, D. Bagadus: An Integrated System for Arena Sports Analytics: A Soccer Case Study. Proceedings of the 4th ACM Multimedia Systems Conference. ACM, 2013.

MacÌkowiak, S., Konieczny, J., Kurc, M., & MacÌkowiak, P. A Complex System for Football Player Detection in Broadcasted Video. Signals and Electronic Systems (ICSES), 2010 International Conference on. IEEE, 2010.

Liu, J., Tong, X., Li, W., Wang, T., Zhang, Y., & Wang, H. Automatic Player Detection, Labeling and Tracking in Broadcast Soccer Video. Pattern Recognition Letters 30.2 (2009): 103-113.

Mazzeo, P. L., Spagnolo, P., Leo, M., & D'Orazio, T. Visual Players Detection and Tracking in Soccer Matches. Advanced Video and Signal Based Surveillance, 2008. AVSS'08. IEEE Fifth International Conference on. IEEE, 2008.

Spagnolo, P., Mosca, N., Nitti, M., Distante, A. An Supervised Approach for Segmentation and Clustering of Soccer Players. International Machine Vision and Image Processing Conference. IEEE. 2007

Gerke, S., Singh, S., Linnemann, A., & Ndjiki-Nya, P. Unsupervised Colour Classifier Training for Soccer Player Detection. Visual Communications and Image Processing (VCIP), 2013. IEEE, 2013.

Najafzadeh, Nima, Mehran Fotouhi, and Shohreh Kasaei. Multiple Soccer Players Tracking. Artificial Intelligence and Signal Processing (AISP), 2015 International Symposium on. IEEE, 2015.

Guo, Zhong. Object Detection and Tracking in Video. Advances in Internet Based Systems and Applications. 2001.

Zhang Yanzhu, Wang Xiaoyan, Qu Biao. Three-frame Difference Algorithm Research Based on Matematichal Morphology. 2012.

Dalal, Navneet, and Bill Triggs. Histograms of Oriented Gradients for Human Detection. Computer Vision and Pattern Recognition, 2005. CVPR 2005. IEEE Computer Society Conference on. Vol. 1. IEEE, 2005.

Li, Changyan, Lijun Guo, and Yichen Hu. A New Method Combining HOG and Kalman Filter for Video-Based Human Detection and Tracking. Image and Signal Processing (CISP), 2010 3rd International Congress on. Vol. 1. IEEE, 2010.

Statnikov Alexander, Hardin Douglas, Guyon Isabelle, Aliferis Constantin F. A Gentle Introduction to Support Vector Machine in Biomedicine. Biomedical and Health Informatics: From Foundations to Applications to Policy. AMIA San Francisco November 14-15, 2009.

Keen Noah. Color Moments. School Of Informatics, University of Edinburgh. 2005.

Flach, Peter. Machine Learning The Art and Science of Algorithms that Make Sense of Data. Cambridge University Press, New York. 2012

Kazemi, Vahid and Sullivan, Josephine. Using Richer Models for Articulated Pose Estimation of Footballers. BMVC. 2012.

Grissom Daniel, Tarango Joseph. Field Detection Using Matlab. Department of Computer Science and Engineering, University of California, Riverside. 2007.

Beiping Hou, Wen Zhu. Fast Human Detection Using Motion Detection and Histogram of Oriented Gradients. Journal of Computers Vol 6 No 8. Academy Publisher. 2011.

Downloads

Published

2018-05-23

How to Cite

Ramadhani, K. N., Mugni, A. S., & Mubarok, M. S. (2018). Deteksi dan Tracking Pemain Sepakbola menggunakan Histogram of Oriented Gradients (HOG) dan Kalman Filter. Indonesian Journal on Computing (Indo-JC), 3(1), 33–44. https://doi.org/10.21108/INDOJC.2018.3.1.211

Issue

Vol. 3 No. 1 (2018): Maret, 2018

Section

Computer Science

License

  • Manuscript submitted to IndoJC has to be an original work of the author(s), contains no element of plagiarism, and has never been published or is not being considered for publication in other journals. 
  • Copyright on any article is retained by the author(s). Regarding copyright transfers please see below.
  • Authors grant IndoJC a license to publish the article and identify itself as the original publisher.
  • Authors grant IndoJC commercial rights to produce hardcopy volumes of the journal for sale to libraries and individuals.
  • Authors grant any third party the right to use the article freely as long as its original authors and citation details are identified.
  • The article and any associated published material is distributed under the Creative Commons Attribution 4.0License

Most read articles by the same author(s)