All of the below Master’s students attended the Data Science and AI program at Chalmers University of Technology and were supervised by Anders Sjöberg.
“Tracking players and ball in football video” (2024)
Jhanzaib Humayun och Hugo Granelius
Abstract
This master’s thesis explores challenges and methodologies of accurately tracking players and the ball within football video sequences, employing advanced object detection and tracking techniques.
“3D Pose Estimation of Football Players” (2024)
Joakim Osterman och Olof Sjögren
Abstract
A pipeline consisting of camera calibration and pose estimation is proposed, taking video recordings and bounding box annotations as input and predicting camera parameters as well as the players 3D poses and locations.
“Football Analysis in VR: Texture Estimation with Differentiable Rendering and Diffusion Models” (2024)
Filip Anjou och Albin Ekström
Abstract
This thesis develops a virtual football pitch that enables users to interact with reconstructed football matches in virtual reality. Techniques are explored for estimating colour textures for each player from video footage, which are used to personalise the appearance of their virtual counterparts.