Tracking objects using the mean shift method is performed by iteratively translating a kernel in the image space such that the past and current object observations are similar. Tr...
This paper presents a content-based approach for temporal segmentation of videos. Tracked objects are characterized by their 2D trajectories which are used in a meaningful way to ...
Alexandre Hervieu, Patrick Bouthemy, Jean-Pierre L...
This paper addresses the automatic analysis of court-net sports video content. We extract information about the players, the playing-field in a bottom-up way until we reach scene-l...
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...
In this work, we implement a real-time visual tracker that targets the position and 3D pose of objects in video sequences, specifically faces. Using Stream Processors for perform...