Player position estimation by monocular camera for soccer video analysis

Hirokatsu Kataoka, Kiyoshi Hashimoto, Yoshimitsu Aoki

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

7 Citations (Scopus)

Abstract

In football contents, there are many services now. For example, player's tactics analysis and production of highlight scenes. In order to put into practice these contents, it is necessary to acquire important information from the football videos. In this paper, we propose a method to track multiple players and ball in a football video which is captured by monocular camera. In the case of capturing the video from a single view, there might be a lot of occluded situations of players. To overcome this problem, we propose a robust tracking method for multiple players by combining Particle Filter and Classifier. In order to track the ball, we try to track applying labeling and nearest neighbor algorithm. And more, we apply perspective transformation to extract player's position on the pitch. We show the experimental result and effectiveness of our proposed method.

Original languageEnglish
Title of host publicationProceedings of the SICE Annual Conference
Pages1985-1990
Number of pages6
Publication statusPublished - 2011
Event50th Annual Conference on Society of Instrument and Control Engineers, SICE 2011 - Tokyo, Japan
Duration: 2011 Sep 132011 Sep 18

Other

Other50th Annual Conference on Society of Instrument and Control Engineers, SICE 2011
CountryJapan
CityTokyo
Period11/9/1311/9/18

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Keywords

  • Object Tracking

ASJC Scopus subject areas

  • Electrical and Electronic Engineering
  • Control and Systems Engineering
  • Computer Science Applications

Cite this

Kataoka, H., Hashimoto, K., & Aoki, Y. (2011). Player position estimation by monocular camera for soccer video analysis. In Proceedings of the SICE Annual Conference (pp. 1985-1990). [6060294]