中文摘要：

近期,体育视频分析中的广告牌商标的探测和识别方法已经广泛应用于许多其他领域,比如商业电视.基于此,提出了一种能在不同体育视频（如足球、篮球和F1赛车等）中进行广告牌商标实时识别的算法,该算法主要包括两个步骤,首先,利用基于模糊决策树的方法进行广告牌图像帧的探测;其次,利用颜色特征和局部SIFT（Scale-invariant feature transform）特征来描述不同商标的外观,并最终通过基于潜在语义分析（Latent semantic analysis,LSA）的SIFT词汇匹配来识别所给定的商标模板.初步的实验表明了本文算法的有效性,并且该算法能在实时情况下运行.

英文摘要：

Recently, in the sports video analysis domain, applications like TV commercials can be developed by detecting and recognizing the trademark on the billboard. In this paper, we propose a method for real-time trademark recognition in different sports video such as soccer, basketball, and Formula 1. There are two stages in this algorithm. Fuzzy decision tree based method is used to detect billboard frame in the first stage, while in the second stage, color and regional SIFT （scale-invariant feature transform） features are combined to describe the appearance of trademarks, and latent semantic analysis （LSA） based SIFT vocabulary matching is performed to recognize the given template trademark. The preliminary experiments demonstrate the effectiveness and effciency of our algorithm.