Identification and tracking of players in sport videos

Chun Wei Lu, Chih Yang Lin*, Chao Yung Hsu, Ming Fang Weng, Li Wei Kang, Hong Yuan Mark Liao

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingConference contribution

16 Citations (Scopus)

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.

Original languageEnglish
Title of host publicationICIMCS 2013 - Proceedings of the 5th International Conference on Internet Multimedia Computing and Service
Pages113-116
Number of pages4
DOIs
Publication statusPublished - 2013
Externally publishedYes
Event5th International Conference on Internet Multimedia Computing and Service, ICIMCS 2013 - Huangshan, China
Duration: 2013 Aug 172013 Aug 19

Publication series

NameACM International Conference Proceeding Series

Conference

Conference5th International Conference on Internet Multimedia Computing and Service, ICIMCS 2013
Country/TerritoryChina
CityHuangshan
Period2013/08/172013/08/19

Keywords

  • identification
  • recognition
  • sport video
  • tracking
  • video analysis

ASJC Scopus subject areas

  • Software
  • Human-Computer Interaction
  • Computer Vision and Pattern Recognition
  • Computer Networks and Communications

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