Tennis Ball Tracking: 3D Trajectory Estimation using Smartphone Videos

نویسندگان

  • Megan Fazio
  • Kyle Fisher
  • Tori Fujinami
  • N. R. Chauhan
چکیده

1. T. Qazi, P. Mukherjee, S. Srivastava, B. Lall and N. R. Chauhan, "Automated ball tracking in tennis videos," 2015 Third ICIIP, Waknaghat, 2015, pp. 236-240 2. C. Lyu, Y. Liu, B. Li and H. Chen, "Multi-feature based high-speed ball shape target tracking," 2015 IEEE Int. Conference on Information and Automation, Lijiang, 2015, pp. 67-72. 3. Archana, M., Geetha, M.K.: An efficient ball and player detection in broadcast tennis video. In: Berretti, S., Thampi, S.M., Srivastava, P.R. (eds.). AISC, vol. 384, pp. 427–436. Springer, Heidelberg (2016). 4. Yan, F, Christmas, W and Kittler, J (2005) A Tennis Ball Tracking Algorithm for Automatic Annotation of Tennis Match In: BMVC, 2005-09-05 2005-09-08, Oxford, UK. 5. B. Ekinci, M. Gokmen, "A ball tracking system for offline tennis videos", International Conference on Visualization Imaging and Simulation 2008 6. Yu, X. Sim, C.-H. Wang, J.R. Cheong, L.F., A trajectory-based ball detection and tracking algorithm in broadcast tennis video, ICIP Image Processing, Vol. 2, pp. 10491052, 2004 Related Work Step 1: Segment the court using color thresholding for the dominant color from the center of the image. Step 2: Extract the court outline by applying canny edge detection to the largest court-colored blob. Step 3: Apply Hough transformation and locate the line intersections that are near the court’s edges. Step 4: Find the centroids of intersection clusters. These are taken to be the court corners.

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تاریخ انتشار 2018