计算机应用研究2017，Vol.34Issue(7)：2202-2206,2227,6.DOI:10.3969/j.issn.1001-3695.2017.07.061
基于可变形部件模型的台标识别方法
TV logo recognition method based on deformable part model
摘要
Abstract
Because of the complexity of the background,the high similarity of partial TV logo and the change of the shape of TV logo,it increases the difficulty of TV logo recognition and reduces the accuracy of recognition.Therefore,this paper proposed a robust TV logo recognition method based on the deformable part model (DPM).First of all,based on the TV logo features,it used the appropriate color features to improve and enhance the features of the deformable part model.Secondly,it used the latent support vector machine (LSVM) and latent linear discriminant analysis (LLDA) technology to accelerate the train of the TV logo recognition model.Then,in order to make up the deficiency of the deformable parts model,it designed a calculation method based on the weighted parts.Finally,it proposed a new reliable mechanism to evaluate the accuracy of the TV logo recognition.Experimental results show that the proposed method has higher recognition accuracy and more stable performance compared with the recognition method based on histogram of oriented gradients (HOG) and support vector machine (SVM).关键词
台标识别/可变形部件模型/方向梯度直方图/隐式支持向量机/隐式线性判别分析/颜色直方图/加权部件Key words
TV logo recognition/deformable part model(DPM)/histogram of oriented gradients(HOG)/latent support vector machine(LSVM)/latent linear discriminant analysis(LLDA)/color histogram/weighted-part分类
信息技术与安全科学引用本文复制引用
张伟,许海洋..基于可变形部件模型的台标识别方法[J].计算机应用研究,2017,34(7):2202-2206,2227,6.基金项目
国家自然科学基金青年科学基金资助项目(61403223) （61403223）
中央高校基本科研业务费专项基金资助项目(13YQ010) （13YQ010）
