Related publications (9)

Renormalizing individual performance metrics for cultural heritage management of sports records

Orion B Penner

Individual performance metrics are commonly used to compare players from different eras. However, such cross-era comparison is often biased due to significant changes in success factors underlying player achievement rates (e.g. performance enhancing drugs ...
PERGAMON-ELSEVIER SCIENCE LTD2020

Institutions and Incentives in Knowledge Production and Diffusion: From Science to Innovation

Charles Chadi Ayoubi

This thesis presents four essays providing novel empirical and theoretical insights on the incentives and institutional structures that favor knowledge production and diffusion. The first two studies analyze these processes in the realm of scientific resea ...
EPFL2020

Training Algorithms for Multiple Object Tracking

Andrii Maksai

Multiple object tracking is a crucial Computer Vision Task. It aims at locating objects of interest in the image sequences, maintaining their identities, and identifying their trajectories over time. A large portion of current research focuses on tracking ...
EPFL2019

Take your Eyes off the Ball: Improving Ball-Tracking by Focusing on Team Play

Pascal Fua, Xinchao Wang, Horesh Beny Ben Shitrit, Vitaly Henry Ablavsky

Accurate video-based ball tracking in team sports is important for automated game analysis, and has proven very difficult because the ball is often occluded by the players. In this paper, we propose a novel approach to addressing this issue by formulating ...
Elsevier2014

Realistic modeling of spectator behavior for soccer videogames with CUDA

Eray Molla

Soccer has always been one of the most popular videogame genres. When designing a soccer game, designers tend to focus on the game field and game play due to the limited computational resources, and thus the modelling of virtual spectators is paid less att ...
2011

Precise Bearing Angle Measurement Based on Omnidirectional Conic Sensor and Defocusing

Roland Siegwart, Davide Scaramuzza

Recent studies on multi-robot localization have shown that the uncertainty of robot location may be considerably reduced by optimally fusing odometry and the relative angles of sight (bearing) among the team members. However, the latter requires the capabi ...
2005

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