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《Science of Surveying and Mapping》 2012-06
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Recognition of traffic signs based on Bag-of-Words model

HU Xiao-guang①,ZHU Xin-yan①,LIU Lin①②,LI Hui③,LI Deren①(①State key Laboratory of Information Engineering in Surveying,Mapping and Remote Sensing,Wuhan 430072,China;②Shandong University of Science and Technology,Shandong Qingdao 266510,China;③China University of Geosciences,Wuhan 430074,China)  
TSR(Traffic sign recognition)is an important studied field in ITS(Intelligent traffic system)and is gaining more and more attention for realizing drivers assisting system and automated navigation etc.The authors proposed a recognition method of traffic sign in natural environments.They acquired the local features that could not only improve the efficiency but also be less affected by occlusion,and quantified these features to acquire the intrinsic features of the sign by bag of words model.SVM(Support vector machine)was trained using these intrinsic features and then got a discriminative classification model to classify different traffic signs.As shown by the experiment results,compared with existing method,the proposed method was prore to improve the recognition rate and robustness.
【Fund】: 武汉大学测绘遥感信息工程国家重点实验室自主探索课题资助项目;; 武汉大学测绘遥感信息工程国家重点实验室专项基金资助项目;; 武汉大学测绘遥感信息工程国家重点实验室开放研究基金资助项目
【CateGory Index】: TP391.41
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