Baseball Rotation Identification Algorithm Based on Seam Curvature Matching and Pixel Similarity
Journal
ISPACS 2021 - International Symposium on Intelligent Signal Processing and Communication Systems: 5G Dream to Reality, Proceeding
Date Issued
2021
Author(s)
Tsai C.-T
Abstract
In this paper, an automatic algorithm for baseball rotation analysis. To analyze the rotation angle of a baseball, the seam feature and its curvature play very important roles. Therefore, after performing background removal and denoising, we first adopt ridge detection to extract the seam on the baseball. Then, the curvature is calculated. According to the pixel-wise curvature information, one can determine the ration angle based on template sifting and matching. With the proposed algorithm, the rotation angle of the baseball can be determined accurately. It is helpful for determining the rotation rate of the baseball and beneficial for automatic sport video analysis. ? 2021 IEEE.
Subjects
Background subtraction
Curvature
Ridge detection
Seam matching
Sport video
Pixels
Rotation rate
Identification algorithms
Matchings
Pixel similarities
Ridge detections
Rotation angles
Seam curvature
Baseball
SDGs
Type
conference paper