Multiple players tracking and identification using group detection and player number recognition in sports video

Taiki Yamamoto, Hirokatsu Kataoka, Masaki Hayashi, Yoshimitsu Aoki, Kyoko Oshima, Masamoto Tanabiki

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

10 Citations (Scopus)

Abstract

We are interested in the problem of automatically tracking and identifying players in sports video. While there are many automatic multi-target tracking methods, in sports video, it is difficult to track multiple players due to frequent occlusions, quick motion of players and camera, and camera position. We propose tracking method that associates tracklets of a same player using results of player number recognition. To deal with frequent occlusions, we detect human region by level set method and then estimates if it is occluded group region or unoccluded individual one. Moreover, we associate tracklets using the results of player number recognition at each frame by keypoints-based matching with templates from multiple viewpoints, so that final tracklets include occluded region.

Original languageEnglish
Title of host publicationProceedings, IECON 2013 - 39th Annual Conference of the IEEE Industrial Electronics Society
Pages2442-2446
Number of pages5
DOIs
Publication statusPublished - 2013 Dec 1
Event39th Annual Conference of the IEEE Industrial Electronics Society, IECON 2013 - Vienna, Austria
Duration: 2013 Nov 102013 Nov 14

Publication series

NameIECON Proceedings (Industrial Electronics Conference)

Other

Other39th Annual Conference of the IEEE Industrial Electronics Society, IECON 2013
CountryAustria
CityVienna
Period13/11/1013/11/14

    Fingerprint

Keywords

  • Affin Warp
  • SIFT
  • data association
  • level set method
  • multiple target tracking

ASJC Scopus subject areas

  • Control and Systems Engineering
  • Electrical and Electronic Engineering

Cite this

Yamamoto, T., Kataoka, H., Hayashi, M., Aoki, Y., Oshima, K., & Tanabiki, M. (2013). Multiple players tracking and identification using group detection and player number recognition in sports video. In Proceedings, IECON 2013 - 39th Annual Conference of the IEEE Industrial Electronics Society (pp. 2442-2446). [6699514] (IECON Proceedings (Industrial Electronics Conference)). https://doi.org/10.1109/IECON.2013.6699514