Ball from Monocular Soccer Image Sequence

In this paper, we propose a system that tracks a ball stably and accurately and detects the events of the game by using the 3D positional information for automatic soccer video production. We use 3D particle filter with the state vector of nine dimensions in the ball tracking. Since the ball tracking by particle filter is a local search, it is difficult to continue tracking when it fails. Thus, we solve this problem by switching the local search to 3D global search, and by interpolating the lost coordinates. As a result, the tracking accuracy was improved by about 19.8%, and the events like the goal or the goal kick was detected with high accuracy