2020
DOI: 10.1177/1754337120967729
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Curling stone tracking based on an enhanced mean-shift algorithm using optimal feature vector

Abstract: Computer vision technology can automatically detect and recognize objects on the ground or on a court, such as balls, players, and lines, using camera sensors. These are non-contact sensors, which do not interfere with an athlete’s movement. The game elements detected by such measuring equipment can be used for game analysis, judgment, context recognition, and visualization. This paper proposes a method to automatically track the position of stones in curling sport images using computer vision technology. The … Show more

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