Multi-camera video surveillance for real-time analysis and reconstruction of soccer games

Jinchang Ren, M. Xu, J. Orwell, G. Jones

Research output: Contribution to journalArticlepeer-review

30 Citations (Scopus)
78 Downloads (Pure)


Soccer analysis and reconstruction is one of the
most interesting challenges for wide-area video surveillance
applications. Techniques and system implementation for
tracking the ball and players with multiple stationary cameras
are discussed. With video data captured from a football
stadium, the real-world, real-time positions of the ball and
players can be generated. The whole system contains a twostage
workflow, i.e., single view and multi-view processing.
The first stage includes categorizing of players and filtering
of the ball after changing detection against an adaptive
background and image-plane tracking. Occlusion reasoning
and tracking-back is applied for robust ball filtering. In the
multi-viewstage, multiple observations from overlapped single
views are fused to refine players’ positions and to estimate
3-D ball positions using geometric constraints. Experimental
results on real data from long sequences are demonstrated.
Original languageEnglish
Pages (from-to)855-863
Number of pages9
JournalMachine Vision and Applications
Issue number6
Publication statusPublished - Oct 2010


  • video surveillance
  • multiple cameras
  • video signal processing


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