Abstract

The main goal of this project is to extract high level semantic cues from soccer match video sequences, using machine learning and computer vision techniques.

• During the first year, I explored the state-of-the-art techniques that could be used to extract the player trajectories given the videos of a match recorded with several static camera.

• During the second year, I focused on the player trajectories clustering problem. I particularly focused on designing a reliable and efficient metric to establish correspondences between trajectories.