@inproceedings{72b45cc9c95e42babc74f895d6ff1492,
title = "Identification and tracking of players in sport videos",
abstract = "In this paper, we propose a novel framework to automatically perform player tracking and identification for sport videos filmed by a single pan-tilt-zoom camera from the court view. The proposed scheme is separated into three parts. The first part is to detect players by a deformable part model. The second part is to recognize jersey numbers by gradient differences and optical character recognition. The final part applies particle filters to track players. Experimental results demonstrate the efficacy of the proposed algorithm and the feasibility for sports video analysis.",
keywords = "identification, recognition, sport video, tracking, video analysis",
author = "Lu, {Chun Wei} and Lin, {Chih Yang} and Hsu, {Chao Yung} and Weng, {Ming Fang} and Kang, {Li Wei} and Liao, {Hong Yuan Mark}",
year = "2013",
doi = "10.1145/2499788.2499842",
language = "English",
isbn = "9781450322522",
series = "ACM International Conference Proceeding Series",
pages = "113--116",
booktitle = "ICIMCS 2013 - Proceedings of the 5th International Conference on Internet Multimedia Computing and Service",
note = "5th International Conference on Internet Multimedia Computing and Service, ICIMCS 2013 ; Conference date: 17-08-2013 Through 19-08-2013",
}