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

Ren, Jinchang and Xu, M. and Orwell, J. and Jones, G. (2010) Multi-camera video surveillance for real-time analysis and reconstruction of soccer games. Machine Vision and Applications, 21 (6). pp. 855-863. (https://doi.org/10.1007/s00138-009-0212-0)

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Abstract

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.

ORCID iDs

Ren, Jinchang ORCID logoORCID: https://orcid.org/0000-0001-6116-3194, Xu, M., Orwell, J. and Jones, G.;
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