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车辆的Harris与SIFT特征及车型识别
引用本文:康维新,曹宇亭,盛卓,李鹏,姜澎. 车辆的Harris与SIFT特征及车型识别[J]. 哈尔滨理工大学学报, 2012, 17(3): 69-73
作者姓名:康维新  曹宇亭  盛卓  李鹏  姜澎
作者单位:1. 哈尔滨工程大学信息与通信工程学院,黑龙江哈尔滨,150001
2. 黑龙江省哈双公路管理处,黑龙江哈尔滨,150090
基金项目:黑龙江省交通运输厅重点项目
摘    要:针对现有车型识别的准确性和实时性不能同时满足要求的问题,提出了复合的图像匹配模型与识别方法.先应用Harris角点对车型初分类,再应用SIFT特征进行细分类,该方法与只利用SIFT特征进行识别的方法相比,在保证识别准确性基本不变的情况下,处理时间减少了近2/3,实时性得到较大改善.

关 键 词:车辆识别  Harris角点  SIFT特征  图像匹配

Harris Corner and SIFT Feature of Vehicle and Type Recognition
KANG Wei-xin , CAO Yu-ting , SHENG Zhuo , LI Peng , JIANG Peng. Harris Corner and SIFT Feature of Vehicle and Type Recognition[J]. Journal of Harbin University of Science and Technology, 2012, 17(3): 69-73
Authors:KANG Wei-xin    CAO Yu-ting    SHENG Zhuo    LI Peng    JIANG Peng
Affiliation:1.College of Information and Communication Engineering,Harbin Engineering University,Harbin 150001,China; 2.Heilongjiang Hashuang Road Management Office,Harbin 150090,China)
Abstract:Considering to the important factors of accuracy and real-time performance can not meet the requirement simultaneously in current vehicle recognition,a compound image matching model and a recognition method were developed,namely classifying vehicles firstly by utilizing Harris corner,then classifying vehicles detailedly by using SIFT feature.Compared with the one used SIFT feature only,the method shortens the time of disposal by 2/3 under guaranteeing the accuracy to be kept essentially constant,real-time performance was improved greatly.
Keywords:vehicle recognition  Harris corner  SIFT feature  image matching
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