PROJECT

Object traking and video annotation:

Several game  balls  tracking algorithms have been reported in the literature. However, most of them use high quality video and multiple cameras, and the emphasis has been on coordinating the cameras, or visualising the tracking results.
In this project, we propose a game ball tracking algorithm for low quality off-air video recorded with a single camera. Experimental results show that our algorithm is robust and has a tracking accuracy that is sufficiently high for automatic annotation of ball matches as: tennis, volley, cat game.