Real-time 3D football ball tracking from multiple cameras

Jinchang Ren, James Orwell, Graeme A. Jones, Ming Xu

Research output: Chapter in Book or Report/Conference proceedingConference Proceedingpeer-review

Abstract

A novel model for 3D soccer ball tracking is proposed, using multiple fixed
cameras as input. The main problems are: successfully filtering false alarms,
tracking through missing observations and estimating 3D positions from
single or multiple camera inputs. The key innovation is to categorise all
motion of the ball into four possible phases: rolling, flying, in possession,
and out of play, and in different phases the ball trajectory is further modelled
as linear or curve segments. Then, triangulations and phase-specific models
are employed to estimate 3D ball positions. The system accuracy is evaluated
by comparing the estimated ball phases and positions with manual ground-
truth, over several minutes of real data sequences. Unlike existing systems
using shadows and manual assistance, our approach demonstrates fully
automatic ball tracking with the potential for accurate and robust results.
Original languageEnglish
Title of host publicationProceedings - British Machine Vision Conference (BMVC’04)
EditorsA. Hoppe, S. Barman, T. Ellis
Place of PublicationKingston
PublisherBritish Machine Vision Association
Pages829-838
ISBN (Electronic)1 901725 26 X
ISBN (Print)1 901725 25 1
DOIs
Publication statusPublished - 2004
Externally publishedYes

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