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- W3020155090 abstract "Big data has been driving professional sports over the last decade. In our data-driven world, it becomes important to find additional methods for the analysis of both games and athletes. There is an abundance of videos taken in professional and amateur sports. Player datasets can be created utilizing computer vision techniques. We propose a novel approach by creating an autonomous masking algorithm that can receive live or previously recorded video footage of sporting events. This procedure can identify graphical overlays to optimize further processing by tracking and text recognition algorithms for real-time analysis." @default.
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- W3020155090 date "2020-04-24" @default.
- W3020155090 modified "2023-09-25" @default.
- W3020155090 title "Computer vision learning techniques for sports video analytics: removing overlays" @default.
- W3020155090 doi "https://doi.org/10.1117/12.2560888" @default.
- W3020155090 hasPublicationYear "2020" @default.
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