Automatic broadcast soccer video analysis, player detection, and tracking based on color histogram

Abstract

In this chapter, a broadcast soccer video analysis system is proposed for the detection and tracking of the players. Our method consists of two phases. The first one is the scene analysis phase which automatically classifies the video into different scenes based on 2-D Gaussian color model of hue and saturation. An adaptive incremental model update scheme is proposed so that even under shadow condition, good scene analysis result can still be provided. The second one is the player analysis phase. A color histogram-based method is proposed to classify the player with a decision tree, and a linear prediction model based on spatial similarity matrix (SSM) is used for tracking of the players. Experimental results show that the proposed method is simple yet effective. © 2013 Springer Science+Business Media New York.