Real-time modeling of 3-D soccer ball trajectories from multiple fixed cameras

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

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

46 Citations (Scopus)


In this paper, model-based approaches for real-time 3-D soccer ball tracking are proposed, using image sequences from multiple fixed cameras as input. The main challenges include filtering false alarms, tracking through missing observations, and estimating 3-D positions from single or multiple cameras. The key innovations are: 1) incorporating motion cues and temporal hysteresis thresholding in ball detection; 2) modeling each ball trajectory as curve segments in successive virtual vertical planes so that the 3-D position of the ball can be determined from a single camera view; and 4) introducing four motion phases (rolling, flying, in possession, and out of play) and employing phase-specific models to estimate ball trajectories which enables high-level semantics applied in low-level tracking. In addition, unreliable or missing ball observations are recovered using spatio-temporal constraints and temporal filtering. The system accuracy and robustness are evaluated by comparing the estimated ball positions and phases with manual ground-truth data of real soccer sequences.

Original languageEnglish
Article number4449084
Pages (from-to)350-362
Number of pages13
JournalIEEE Transactions on Circuits and Systems for Video Technology
Issue number3
Publication statusPublished - Mar 2008


  • 3-D vision
  • Geometric modeling
  • Motion analysis
  • Multiple cameras
  • Tracking
  • Video signal processing

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