Soccer Player Activity Recognition by a Multivariate Features Integration

Abstract

Human action recognition is an important research areain the field of computer vision having a great number ofreal-world applications. This paper presents a multi-viewaction recognition framework that extracts human silhouetteclues from different cameras, analyzes scene dynamicsand interprets human behaviors by the integration of multivariatedata in fuzzy rule-based system. Different featureshave been considered for the player action recognition someof them concerning the human silhouette analysis, and someothers related to the ball and player kinematics. Experimentswere carried out on a multi view image sequences ofa public soccer data set.