2 research outputs found

    Low-cost monocular pseudo 3D reconstruction of batsman strokes for motion analysis

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    Engineering of Sport 15 - Proceedings from the 15th International Conference on the Engineering of Sport (ISEA 2024) Sports broadcasts today are detailed and immersive third-person experiences, allowing spectators to share first-hand experiences of athletes in real time as a result. One sport for which technology has had a significant impact is cricket. Broadcasters currently employ technologies such as the Hawkeye, Snickometer, Hot Spot, Zing Wicket system, Umpire cam, Stump cam, Spider Cam, Super Slow-Motion cam, and Speed Gun to give spectators rich information at their fingertips. They are continuously developing more advanced platforms to enhance every aspect of the game. Some of these technologies aid in accurate decision-making at key points by employing complex multi-physics modeling upon state-of-the-art acquisition equipment provided by broadcasters. However, 3D rendering technologies are expensive and require specialized crews to operate. The aim of this paper is to leverage this data to produce an automated pseudo 3D Representation of batsman motion for visual aids, motion analysis and decision making. </p

    Smart summaries from sport broadcast using OCR based scorecard analysis

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    Engineering of Sport 15 - Proceedings from the 15th International Conference on the Engineering of Sport (ISEA 2024) Sport analytics have become a vital aspect of training for a professional athlete. Part of the training routine is based on the video analysis of themselves or competitors. Video can be obtained either from (i) controlled sensor based footage (ii) amateur footage or (iii) televised broadcasts. Television based broadcasting is the easiest to acquire and follows a systematic order for each sport. Also, considerable metadata is embedded through the broadcasters’ scorecard information on screen that may be critical in pinpointing key segments in the game. Traditional methods for automated sports highlights have focused on audio-visual features, speech recognition of commentary, shot cut detection. Broadcaster footage displays metadata on screen that needs to become accessible. To prevent double entry of annotations, this paper proposes a semi automated manner to extract metadata and process it to find keypoints (highlights) within the broadcast stream. </p
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