A court line extraction algorithm for badminton tournament videos with horizontal line projection learning
Abstract Court line extraction is one of the important steps in the analysis of sport videos. The court extraction is the foundation of the analysis of badminton video, and an efficient method with horizontal line projection K‐means machine learning algorithm to extract court lines from different br...
| Main Authors: | , |
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| Format: | Article |
| Language: | English |
| Published: |
Wiley
2023-08-01
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| Series: | IET Image Processing |
| Subjects: | |
| Online Access: | https://doi.org/10.1049/ipr2.12838 |
| _version_ | 1797755397162926080 |
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| author | Chun‐Ta Wei Shiuh‐Ku Weng |
| author_facet | Chun‐Ta Wei Shiuh‐Ku Weng |
| author_sort | Chun‐Ta Wei |
| collection | DOAJ |
| description | Abstract Court line extraction is one of the important steps in the analysis of sport videos. The court extraction is the foundation of the analysis of badminton video, and an efficient method with horizontal line projection K‐means machine learning algorithm to extract court lines from different broadcast badminton tournament videos is proposed in this paper. The horizontal lines are projected into 1‐D histogram signal; then the signal is trained to learn the intensity of the histogram signal for locating the positions of the horizontal court lines. After the equations of the horizontal court lines and the court lines in the vertical direction have been formulized, the intersection points of the court lines can be calculated and the court line can be extracted. The experimental results show that the proposed method can extract the court lines more efficiently than that done by the Hough transform‐related algorithms, which are widely applied in computer vision and self‐driving car applications. |
| first_indexed | 2024-03-12T17:47:18Z |
| format | Article |
| id | doaj.art-2b75b203775d4c9d837c4514ce2418be |
| institution | Directory Open Access Journal |
| issn | 1751-9659 1751-9667 |
| language | English |
| last_indexed | 2024-03-12T17:47:18Z |
| publishDate | 2023-08-01 |
| publisher | Wiley |
| record_format | Article |
| series | IET Image Processing |
| spelling | doaj.art-2b75b203775d4c9d837c4514ce2418be2023-08-03T12:43:17ZengWileyIET Image Processing1751-96591751-96672023-08-0117102907292410.1049/ipr2.12838A court line extraction algorithm for badminton tournament videos with horizontal line projection learningChun‐Ta Wei0Shiuh‐Ku Weng1School of Defense Science, Chung Cheng Institute of Technology National Defense University TaoyuanTaiwan (R.O.C)Department of Electronic Engineering Chien Hsin University of Science and Technology TaoyuanTaiwan (R.O.C)Abstract Court line extraction is one of the important steps in the analysis of sport videos. The court extraction is the foundation of the analysis of badminton video, and an efficient method with horizontal line projection K‐means machine learning algorithm to extract court lines from different broadcast badminton tournament videos is proposed in this paper. The horizontal lines are projected into 1‐D histogram signal; then the signal is trained to learn the intensity of the histogram signal for locating the positions of the horizontal court lines. After the equations of the horizontal court lines and the court lines in the vertical direction have been formulized, the intersection points of the court lines can be calculated and the court line can be extracted. The experimental results show that the proposed method can extract the court lines more efficiently than that done by the Hough transform‐related algorithms, which are widely applied in computer vision and self‐driving car applications.https://doi.org/10.1049/ipr2.12838court lineshorizontal line projectionsHough transformk‐means machine learning algorithmself‐driving car applications |
| spellingShingle | Chun‐Ta Wei Shiuh‐Ku Weng A court line extraction algorithm for badminton tournament videos with horizontal line projection learning IET Image Processing court lines horizontal line projections Hough transform k‐means machine learning algorithm self‐driving car applications |
| title | A court line extraction algorithm for badminton tournament videos with horizontal line projection learning |
| title_full | A court line extraction algorithm for badminton tournament videos with horizontal line projection learning |
| title_fullStr | A court line extraction algorithm for badminton tournament videos with horizontal line projection learning |
| title_full_unstemmed | A court line extraction algorithm for badminton tournament videos with horizontal line projection learning |
| title_short | A court line extraction algorithm for badminton tournament videos with horizontal line projection learning |
| title_sort | court line extraction algorithm for badminton tournament videos with horizontal line projection learning |
| topic | court lines horizontal line projections Hough transform k‐means machine learning algorithm self‐driving car applications |
| url | https://doi.org/10.1049/ipr2.12838 |
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