Multi-Camera Analysis of Soccer Sequences

Abstract

The automatic detection of meaningful phases in a soccergame depends on the accurate localization of playersand the ball at each moment. However, the automatic analysisof soccer sequences is a challenging task due to thepresence of fast moving multiple objects. For this purpose,we present a multi-camera analysis system that yields theposition of the ball and players on a common ground plane.The detection in each camera is based on a code-book algorithmand different features are used to classify the detectedblobs. The detection results of each camera are transformedusing homography to a virtual top-view of the playing field.Within this virtual top-view we merge trajectory informationof the different cameras allowing to refine the foundpositions. In this paper, we evaluate the system on a publicSOCCER dataset and end with a discussion of possibleimprovements of the dataset.