In this paper, we propose a new method to estimate players' and ball's positions from monocular broadcast soccer video. With the relationship between objects and the cam...
This paper introduces a uniform statistical framework for both 3-D and 2-D object recognition using intensity images as input data. The theoretical part provides a mathematical too...
This paper explores the direct motion estimation problem assuming that video-rate depth information is available, from either stereo cameras or other sensors. We use these depth m...
Michael Harville, Ali Rahimi, Trevor Darrell, Gail...
In this paper, we present a system that integrates fully automatic scene geometry estimation, 2D object detection, 3D localization, trajectory estimation, and tracking for dynamic...
Bastian Leibe, Nico Cornelis, Kurt Cornelis, Luc J...
We develop an integrated, probabilistic model for the appearance and three-dimensional geometry of cluttered scenes. Object categories are modeled via distributions over the 3D lo...
Erik B. Sudderth, Antonio B. Torralba, William T. ...