Contextual Features for Head Pose Estimation in Football Games
Andreas Launila, Josephine Sullivan · 2010
We explore the benefits of using contextual features for head pose estimation in football games. Contextual features are derived from knowledge of the position of all players and combined with image based features derived from low-resolution footage. Using feature selection and combination techniques, we show that contextual features can aid head pose estimation in football games and potentially be an important complement to the image based features traditionally used.