Journal
MACHINE VISION AND APPLICATIONS
Volume 21, Issue 6, Pages 855-863Publisher
SPRINGER
DOI: 10.1007/s00138-009-0212-0
Keywords
Video surveillance; Multiple cameras; Tracking; 3-D vision; Video signal processing
Categories
Funding
- European Commission [IST 2001-37422]
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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 two-stage 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-view stage, 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.
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