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融合边缘和角点特征的实时车辆检测技术
引用本文:徐东彬,刘昌平,黄磊.融合边缘和角点特征的实时车辆检测技术[J].小型微型计算机系统,2008,29(6):1142-1148.
作者姓名:徐东彬  刘昌平  黄磊
作者单位:1. 中国科学院,自动化研究所,北京,100080;中国科学院,研究生院,北京,100080
2. 中国科学院,自动化研究所,北京,100080
摘    要:采用一种快速角点提取方法来提取角点特征,克服阴影干扰,并与边缘特征融合实现车辆检测.提出一种加入噪声自适应求取边缘二值化阈值的方法,有效抑止不同光照条件、路面强噪声,实现强边缘提取.利用车牌和通风栅格、车辆轮廓特征,解决拥堵检测问题.根据前后帧图像特征预估车速,极大减少了误触发.采用SVM进行有、无车分类.给出夜晚检测方法.实验表明本文算法较好的解决了车辆检测,特别是拥堵时的车辆检测.

关 键 词:角点  边缘  车辆检测  自适应阈值  拥堵路况  特征融合  边缘提取  角点  图像特征  车辆检测技术  Feature  Corner  Edge  Detection  算法  实验  检测方法  分类  误触发  预估  检测问题  拥堵  轮廓特征  栅格  通风

Real-time Vehicle Detection Using Edge and Corner Feature
XU Dong-bin,LIU Chang-ping,HUANG Lei.Real-time Vehicle Detection Using Edge and Corner Feature[J].Mini-micro Systems,2008,29(6):1142-1148.
Authors:XU Dong-bin  LIU Chang-ping  HUANG Lei
Affiliation:XU Dong-bin1,2,LIU Chang-ping1,HUANG Lei11 (Institute of Automation,Chinese Academy of Sciences,Beijing 100080,China)2 (Graduate School of Chinese Academy of Sciences,China)
Abstract:A method combining features of corner and edge to detect vehicle is proposed. The detector of corner is a high-speed feature detector which can eliminate the disturbance of shadow. A new adaptive threshold obtained through adding noise into histogram of grayed edge map is to binarize edges. The new threshold extracts stronger edges and eliminates larger noise on different light condition and road surface effectively. Integrating vehicle's plate, radiator grill and outline, the proposed method to detect vehi...
Keywords:corner  edge  vehicle detection  adaptive threshold  congested road  
本文献已被 CNKI 维普 万方数据 等数据库收录!
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