A review on soccer player tracking techniques based on extracted features
Author | Al-Ali A. |
Author | Almaadeed S. |
Available date | 2019-10-17T07:44:38Z |
Publication Date | 2018 |
Publication Name | 2017 6th International Conference on Information and Communication Technology and Accessbility, ICTA 2017 |
Publication Name | 6th International Conference on Information and Communication Technology and Accessbility, ICTA 2017 |
Resource | Scopus |
ISBN | 9.78E+12 |
Abstract | Playing games specially soccer is one of the most likable activities which performed by a large mass base in most countries. All the broadcasted videos of these games are taken as an extensive challenging by researchers in computer vision field. The topics which get the big chance of importance in industry are the tracking of both player and field. This can be used to describe the match for people who are visually impaired. In this review, we summarize some of the recent researcher's work related to different player tracking techniques according to specific features extracted from the scene to build a robust object (player and/or ball) tracking, such as motion, color, edges, etc., which considered as the most commonly used in object tracking. Also, we compare some of these techniques according to two groups of publicly available data sets in order to study the effect of selecting these features on the tracking accuracy. - 2017 IEEE. |
Sponsor | ACKNOWLEDGMENT This publication was made possible by NPRP grant # NPRP 7-1711-1-312 from Qatar National Research Fund (a member of Qatar Foundation). The statements made herein are solely the responsibility of the authors. |
Language | en |
Publisher | Institute of Electrical and Electronics Engineers Inc. |
Subject | Broadcasted videos Color and Edges Computer vision Object tracking Soccer game Specific features Visually Impaired |
Type | Conference Paper |
Pagination | 01-Jun |
Volume Number | 2017-December |
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Computer Science & Engineering [2288 items ]