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Proceedings Paper

A new method to calculate the camera focusing area and player position on playfield in soccer video
Author(s): Yang Liu; Qingming Huang; Qixiang Ye; Wen Gao
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Paper Abstract

Sports video enrichment is attracting many researchers. People want to appreciate some highlight segments with cartoon. In order to automatically generate these cartoon video, we have to estimate the players' and ball's 3D position. In this paper, we propose an algorithm to cope with the former problem, i.e. to compute players' position on court. For the image with sufficient corresponding points, the algorithm uses these points to calibrate the map relationship between image and playfield plane (called as homography). For the images without enough corresponding points, we use global motion estimation (GME) and the already calibrated image to compute the images' homographies. Thus, the problem boils down to estimating global motion. To enhance the performance of global motion estimation, two strategies are exploited. The first one is removing the moving objects based on adaptive GMM playfield detection, which can eliminate the influence of non-still object; The second one is using LKT tracking feature points to determine horizontal and vertical translation, which makes the optimization process for GME avoid being trapped into local minimum. Thus, if some images of a sequence can be calibrated directly from the intersection points of court line, all images of the sequence can by calibrated through GME. When we know the homographies between image and playfield, we can compute the camera focusing area and players' position in real world. We have tested our algorithm on real video and the result is encouraging.

Paper Details

Date Published: 24 June 2005
PDF: 10 pages
Proc. SPIE 5960, Visual Communications and Image Processing 2005, 59604H (24 June 2005); doi: 10.1117/12.632721
Show Author Affiliations
Yang Liu, Harbin Institute of Technology (China)
Qingming Huang, Graduate School, Chinese Academy of Sciences (China)
Qixiang Ye, Graduate School, Chinese Academy of Sciences (China)
Wen Gao, Harbin Institute of Technology (China)
Graduate School, Chinese Academy of Sciences (China)

Published in SPIE Proceedings Vol. 5960:
Visual Communications and Image Processing 2005
Shipeng Li; Fernando Pereira; Heung-Yeung Shum; Andrew G. Tescher, Editor(s)

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