1. 哈尔滨工程大学信息与通信工程学院
2. 黑龙江省哈双公路管理处
纸质出版:2012
移动端阅览
康维新, 曹宇亭, 盛卓, 等. 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.
KANG Wei-xin, CAO Yu-ting, SHENG Zhuo, et al. Harris Corner and SIFT Feature of Vehicle and Type Recognition[J]. 2012, 17(3): 69-73.
康维新, 曹宇亭, 盛卓, 等. 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. DOI:
KANG Wei-xin, CAO Yu-ting, SHENG Zhuo, et al. Harris Corner and SIFT Feature of Vehicle and Type Recognition[J]. 2012, 17(3): 69-73. DOI:
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. 更多还原
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...
0
浏览量
1688
下载量
CSCD
关联资源
相关文章
相关作者
相关机构