Court View Shots Detection Based on Hough Transform and SVM

Zhang, Yuzhen; Dong, Qing; Wang, Yunlong; Dai, Yuewei

doi:10.1109/m2rsm.2011.5697366

Cited by 1 publication

(13 citation statements)

References 5 publications

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“…The Hough transform has been applied widely [32] for extracting lines. In addition, since the proposed method can be considered as a variation of the Hough transform for line extraction, the performance of the proposed algorithm is compared with the two line detectors implemented by the Hough transform in the paper [5] and by the standard Hough transform [32]. Both the two methods are the popular Hough transform methods for line detection.…”

Section: Methodsmentioning

confidence: 99%

“…Therefore, some court lines are removed and the court is incomplete. However, in the application of the court view shot detection [5], the detected lines are good enough to distinguish court view shot and non‐court view one. Furthermore, the noises of the tested images in the paper [5] are less than those in the proposed paper.…”

Section: Methodsmentioning

confidence: 99%

“…However, in the application of the court view shot detection [5], the detected lines are good enough to distinguish court view shot and non‐court view one. Furthermore, the noises of the tested images in the paper [5] are less than those in the proposed paper. The Hough transform of the paper [5] is implemented by the probability‐based one in the paper [33].…”

Section: Methodsmentioning

confidence: 99%

“…As for the Hough transform‐based ones, in addition to the paper [5], the papers [13, 14, 21, 22, 25–27] have applied to detect the straight court lines. Lu et al.…”

Section: Related Workmentioning

confidence: 99%

“…It is essential to develop the sophisticated content‐based analysis techniques for retrieving sport videos efficiently. The researches on sport video analysis have increased largely [1‐23]. The paper [23] has done a comprehensive review of computer vision in sports.…”

Section: Introductionmentioning

confidence: 99%

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A court line extraction algorithm for badminton tournament videos with horizontal line projection learning

Wei

Weng

2023

IET Image Processing

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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.

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Section: Methodsmentioning

confidence: 99%

Section: Methodsmentioning

confidence: 99%

Section: Methodsmentioning

confidence: 99%

“…As for the Hough transform‐based ones, in addition to the paper [5], the papers [13, 14, 21, 22, 25–27] have applied to detect the straight court lines. Lu et al.…”

Section: Related Workmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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