There are different sources of flickering in movies. Most sports venues where tournaments are organized are equipped with lighting causing flickering effect, thus for most tournaments, a workaround solution that removes flickering must be used. The results of the experiments carried out show the high effectiveness of the method implemented on CPU and GPU, allowing effective tracking of objects of interest in preliminary applications of a commercially offered instant review system for badminton.įor many years, big sports organizations like the Olympic committee and UEFA have required from tournament organizers to use only non-flickering lighting, but such lighting systems are expensive and are not common. Our algorithm is adaptive and works when lighting conditions are changing (new light sources) and performs well with various light sources that are causing flickering. In contrast, our original solution is designed with speed in mind with sufficient accuracy to be used before calculating differential frames to detect movement in streams. Most of the solutions found in literature concentrate on effectiveness and accuracy and not on the speed of operation. In this paper, we propose a fast flicker removal algorithm working as an online filter on frame streams at speeds exceeding 200 frames per second. A fast and yet effective enough algorithm is necessary to remove flickering so movement detection and object tracking algorithms could be used. Sports arenas in which games are played are often equipped with lights generating flickering effects in captured movies. Collected information is used for statistics, as coaches’ and players’ aids to improve technique and tactics or as referees’ aids to verify their decisions or to enrich television broadcasts. High-speed cameras are used in computer vision systems to track balls, shuttlecocks, or players in many different sports.
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