Utilizes computer vision algorithms to identify the fencer among multiple individuals in the scene. Distinguishes our target fencer from other fencers on different pistes and from spectators in the stands.
Applies real-time tracking algorithms to monitor the two targeted fencer's positions throughout the match.​
Identify the target fencer if they temporarily exit and re-enter the video frame
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​Identifies key fencing actions, such as the En Garde, parry and point-in-line, etc.