24 June 2005 A new method to calculate the camera focusing area and player position on playfield in soccer video
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Proceedings Volume 5960, Visual Communications and Image Processing 2005; 59604H (2005) https://doi.org/10.1117/12.632721
Event: Visual Communications and Image Processing 2005, 2005, Beijing, China
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.
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Yang Liu, Yang Liu, Qingming Huang, Qingming Huang, Qixiang Ye, Qixiang Ye, Wen Gao, Wen Gao, } "A new method to calculate the camera focusing area and player position on playfield in soccer video", Proc. SPIE 5960, Visual Communications and Image Processing 2005, 59604H (24 June 2005); doi: 10.1117/12.632721; https://doi.org/10.1117/12.632721
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