Single Player Tracking in Multiple Sports Videos
Performance analysis for basketball development programs are based on the athletes’ movement patterns, playing position on an area, and ball acquisition. The objective of the system is to automate the performance analysis by providing raw statistical data based on the player’s behaviors produced through tracking the player inside the basketball court. Using visual features described by SURF, unoccluded players are localized using a tracking by detection approach with an observed accuracy of 40%. Player positions are also adjusted to compensate for distortions, which improves player localization by 0.11%, on average.
KeywordsSports Tracking Feature detection Location estimation
We would like to extend our thanks De La Salle University Men’s Basketball Team Coach Marco Januz “Juno” Sauler for sharing his expertise and insights in the field of basketball and the De La Salle Green Archers Basketball team for allowing us to record their training sessions. We would also like to extend our heartfelt gratitude to Mr. Carlo Ochotorena and Mrs. Cecile Ochotorena for sharing their knowledge and resources in the undertaking of the recording of the training sessions. This study would not have been made possible without the generous contributions of the aforementioned individuals.
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