Saliency-based football offside detection
Conference proceedings article
Authors/Editors
Strategic Research Themes
No matching items found.
Publication Details
Author list: Siratanita S., Chamnongthai K., Muneyasu M.
Publisher: Hindawi
Publication year: 2018
Volume number: 2018-January
Start page: 1
End page: 4
Number of pages: 4
ISBN: 9781509065141
ISSN: 0146-9428
eISSN: 1745-4557
Languages: English-Great Britain (EN-GB)
Abstract
In the automatic offside detection for football, an afterimage and occlusion sometime confuse the referee which cause a judging error. This paper proposes an automatic saliency-based offside detection method. Four cameras are installed at the both sides on the centerline for capturing scenes of players with a ball. In the scenes, offensive players who are playing the ball are estimated their movement by saliency, and the estimated motion is compared with the position of the defensive players for determining offside. The experiments performed video with 138 times offside in 33 tournaments of FIFA world football competitions held in Europe in 2016, and the results show 93.33% accuracy. ฉ 2017 IEEE.
Keywords
advertisements, content-based detection, hierarchical saliency, Hot spot