基于改进的Harris角点检测的车型识别方法

doi:10.11896/j.issn.1002-137X.2017.11A.053

计算机科学 ›› 2017, Vol. 44 ›› Issue (Z11): 257-259.doi: 10.11896/j.issn.1002-137X.2017.11A.053

基于改进的Harris角点检测的车型识别方法

张彤,张萍

广东警官学院计算机系广州510230,广东警官学院计算机系广州510230

出版日期:2018-12-01 发布日期:2018-12-01
基金资助:
本文受广东警官学院青年骨干教师培养计划(2015QNGG11),广东省普通高校青年创新人才项目(2015KQNCX105)资助

Method of Vehicle Type Recognition Based on Improved Harris Corner Detection

ZHANG Tong and ZHANG Ping

Online:2018-12-01 Published:2018-12-01

摘要/Abstract

摘要： 利用角点信息作为车辆正面图像的特征点对车型进行识别,将Harris角点检测的方法进行改进,将不同方向的特征值之比加入角点响应,提高了角点检出率；考虑到视频中行进车辆的位置变动,将车牌中心点位置作为定位点,计算不同车型的角点匹配率作为判定车型的依据。实验结果证实了所提方法的有效性。

关键词: Harris角点,角点检测,车型识别,角点响应,特征提取

Abstract: This paper used corner information as feature point in the front image of vehicle to recognize the type which the vehicle belongs to.We improved the Harris’ corner detection method and added the ratio of eigenvalues which represent different directions to the corner response,and thus the more corners were detected.Because the position of vehicle in video is changeable,the center of the license plate is defined as stable point,and vehicle type was recognized by the ratio of matching corner.The results of test verified the effectiveness of this method.

Key words: Harris corner,Corner detection,Vehicle type recognition,Corner response,Feature extraction

张彤,张萍. 基于改进的Harris角点检测的车型识别方法[J]. 计算机科学, 2017, 44(Z11): 257-259. https://doi.org/10.11896/j.issn.1002-137X.2017.11A.053

ZHANG Tong and ZHANG Ping. Method of Vehicle Type Recognition Based on Improved Harris Corner Detection[J]. Computer Science, 2017, 44(Z11): 257-259. https://doi.org/10.11896/j.issn.1002-137X.2017.11A.053

参考文献

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基于改进的Harris角点检测的车型识别方法

Method of Vehicle Type Recognition Based on Improved Harris Corner Detection

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