Detection of Tennis Court Lines for Sport Video Categorization

Choroś, Kazimierz

doi:10.1007/978-3-642-34707-8_31

Cited by 7 publications

(5 citation statements)

References 16 publications

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“…For the dominant colour-based methods, Choroś has proposed two papers [6] and [7] for play-field and court line detection, respectively. In [6], Choroś has applied the dominant colours to extract and detect the play-field from different shot view types of soccer and tennis videos.…”

Section: Related Workmentioning

confidence: 99%

“…In [6], Choroś has applied the dominant colours to extract and detect the play-field from different shot view types of soccer and tennis videos. In addition, the paper [7] proposed a framework to automatically detect the tennis court lines by the analysis of pixels of line colour for the selection of tennis shots from TV sport news. RastegarSani et al [4] have proposed a play-field extraction framework which is based on L* a* b* colour space in soccer videos.…”

Section: Related Workmentioning

confidence: 99%

“…P26.y = Y 1.y (7) where 𝑃26.𝑦 is the 𝑦 coordinate of 𝑃26 and 𝑌1.𝑦 is the 𝑦 coordinate of court line 𝑌1.…”

Section: Calculate the Intersections Of The Court Linesmentioning

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: Related Workmentioning

confidence: 99%

Section: Related Workmentioning

confidence: 99%

“…P26.y = Y 1.y (7) where 𝑃26.𝑦 is the 𝑦 coordinate of 𝑃26 and 𝑌1.𝑦 is the 𝑦 coordinate of court line 𝑌1.…”

Section: Calculate the Intersections Of The Court Linesmentioning

confidence: 99%

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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“…Video camera is a visual sensing facility that provides visual data or video of the monitored activities and environmental changes. It has been used widely in high profile sports such as football and tennis for tactical analysis, tracking players, detecting the court lines, events recognition and video summarization [4][5][6][7][8][9]. The practicality of video based modality is more higher compared to the sensor based as no additional hardware will be attached to the athletes' body.…”

Section: Introductionmentioning

confidence: 99%

A Survey of Video Based Action Recognition in Sports

Rahmad¹,

As’ari²,

Ghazali³

et al. 2018

IJEECS

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<p class="Abstract">Sport performance analysis which is crucial in sport practice is used to improve the performance of athletes during the games. Many studies and investigation have been done in detecting different movements of player for notational analysis using either sensor based or video based modality. Recently, vision based modality has become the research interest due to the vast development of video transmission online. There are tremendous experimental studies have been done using vision based modality in sport but only a few review study has been done previously. Hence, we provide a review study on the video based technique to recognize sport action toward establishing the automated notational analysis system. The paper will be organized into four parts. Firstly, we provide an overview of the current existing technologies of the video based sports intelligence systems. Secondly, we review the framework of action recognition in all fields before we further discuss the implementation of deep learning in vision based modality for sport actions. Finally, the paper summarizes the further trend and research direction in action recognition for sports using video approach. We believed that this review study would be very beneficial in providing a complete overview on video based action recognition in sports.</p>

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Automatic Playing Field Detection and Dominant Color Extraction in Sports Video Shots of Different View Types

Choroś

2016

Advances in Intelligent Systems and Computing

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Detection of Tennis Court Lines for Sport Video Categorization

Cited by 7 publications

References 16 publications

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

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

A Survey of Video Based Action Recognition in Sports

Automatic Playing Field Detection and Dominant Color Extraction in Sports Video Shots of Different View Types

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