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Automatic soccer field line recognition by minimum information

Fotouhi, M ; Sharif University of Technology | 2015

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  1. Type of Document: Article
  2. DOI: 10.1109/AISP.2015.7123505
  3. Publisher: Institute of Electrical and Electronics Engineers Inc , 2015
  4. Abstract:
  5. Automatic analysis in soccer scenes is still a difficult task in the absence of soccer field information. The first and most important step in almost all analysis, is soccer field line recognition and homography extraction. The aim of this paper is introducing a novel approach for automatic detection and recognition of soccer field lines and arcs by minimal information. A simple camera model and perspective map is assumed to reduce unknown parameters. An accurate method is utilized for detecting line pixels. The side of playfield area is determined based on the orientation of lines and arcs. Based on the detected playfield area side, an initial perspective map is obtained. An optimization algorithm then adjusts the parameters of perspective transform and camera. The proposed method needs only some minimal information in theory and practice. It is applied to some typical soccer videos. The achieved results demonstrate its robustness and accuracy
  6. Keywords:
  7. Image line mask ; Perspective transform ; Algorithms ; Artificial intelligence ; Cameras ; Optimization ; Signal detection ; Sports ; Video streaming ; Automatic Detection ; Image lines ; Line detection ; Line mark ; Minimum information ; Optimization algorithms ; Perspective transforms ; Theory and practice ; Signal processing
  8. Source: 2015 International Symposium on Artificial Intelligence and Signal Processing, AISP 2015, 3 March 2015 through 5 March 2015 ; March , 2015 , Pages 136-142 ; 9781479988174 (ISBN)
  9. URL: http://ieeexplore.ieee.org/document/7123505/?arnumber=7123505