Football players and ball trajectories projection from single camera's image

Hirokatsu Kataoka, Yoshimitsu Aoki

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

3 Citations (Scopus)

Abstract

In this paper, we propose a method to track multiple players in a football match video which is captured by a single camera. The camera pans and brings the players and the ball into the view, enabling to record the whole pitch. The players' trajectories in frames and camera movement are obtained to estimate the trajectories on the pitch. Moreover, we propose an effective tracking method for solving occlusion problem by combining Particle Filter and Real AdaBoost Classifier. In ball tracking, we calculate likelihood edge and color feature. The player's points project to pitch by projection transform. Experimental results show the effectiveness of the proposed tracking method.

Original languageEnglish
Title of host publication2011 17th Korea-Japan Joint Workshop on Frontiers of Computer Vision, FCV 2011
DOIs
Publication statusPublished - 2011 Dec 1
Event2011 17th Korea-Japan Joint Workshop on Frontiers of Computer Vision, FCV 2011 - Ulsan, Korea, Republic of
Duration: 2011 Feb 92011 Feb 11

Publication series

Name2011 17th Korea-Japan Joint Workshop on Frontiers of Computer Vision, FCV 2011

Other

Other2011 17th Korea-Japan Joint Workshop on Frontiers of Computer Vision, FCV 2011
CountryKorea, Republic of
CityUlsan
Period11/2/911/2/11

    Fingerprint

Keywords

  • AdaBoost
  • HOG
  • Object Tracking
  • Particle Filter
  • Soccer

ASJC Scopus subject areas

  • Computer Vision and Pattern Recognition

Cite this

Kataoka, H., & Aoki, Y. (2011). Football players and ball trajectories projection from single camera's image. In 2011 17th Korea-Japan Joint Workshop on Frontiers of Computer Vision, FCV 2011 [5739712] (2011 17th Korea-Japan Joint Workshop on Frontiers of Computer Vision, FCV 2011). https://doi.org/10.1109/FCV.2011.5739712