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AuthorAl-Ali A.
AuthorAlmaadeed S.
Available date2019-10-17T07:44:38Z
Publication Date2018
Publication Name2017 6th International Conference on Information and Communication Technology and Accessbility, ICTA 2017
AbstractPlaying 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.
SponsorACKNOWLEDGMENT 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.
PublisherInstitute of Electrical and Electronics Engineers Inc.
SubjectBroadcasted videos
SubjectColor and Edges
SubjectComputer vision
SubjectObject tracking
SubjectSoccer game
SubjectSpecific features
SubjectVisually Impaired
TitleA review on soccer player tracking techniques based on extracted features
TypeConference Paper
Volume Number2017-December

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