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2013
Conference Paper
Titel
Soccer ball detection in occluded situations for single static camera systems
Abstract
The interest on acquiring player and ball data during soccer games is increasing in several domains such as media. Consequently, tracking systems are becoming widely used for live data gathering. Due to costs, stadium infrastructure, media rights etc. there is a trend for stand-alone mobile low-cost soccer tracking systems. The drawback of such systems is that generally only low-resolution images of the players are available which strongly exacerbates the problem of detection and tracking the soccer ball. Besides difficulties that arise from the appearance of the ball by itself, the detection of the ball in situations where it is occluded by the players is very challenging. This paper presents a tracking framework for the reconstruction of the ball trajectory from monocular low-resolution soccer image sequences. The focus of this paper is the detection of the ball in occluded situations. The approach is tested and evaluated on Bundesliga data sets.