计算机应用研究2011，Vol.28Issue(9)：3572-3575,4.DOI:10.3969/j.issn.1001-3695.2011.09.106
基于多特征融合的前方车辆检测方法研究
Study on detecting method of preceding vehicle based on multi-feature fusion
摘要
Abstract
This paper proposed a method to detect preceding vehicle based on multi-feature fusion: shadows, texture, edges and symmetry to prevent traffic accidents and improve the accuracy and efficiency on vehicle detection. First, used the segmentation with multi-threshold for shadow detection. Used shadows to mark areas in which a vehicle may exist, namely interesting areas. Then determined potential vehicle region by calculation of the fractal box dimension to judge whether there exist vehicles in the areas and to locate the vehicles with edges feature was achieved in region of interest. At last, proposed a validation algorithm based on the symmetry measures to check the correctness of the vehicle location. Experiments of the vehicle images under different environments show that this method can detect vehicles with high efficiency and reliability compared to the method of vehicle detection with single feature.关键词
车辆检测/多阈值/阴影/边缘/分形盒子维数/对称性测度Key words
vehicle detection/ multi-threshold/ shadows/ edges/ fractal box dimension/ symmetry measurement分类
信息技术与安全科学引用本文复制引用
慕永云,王荣本,赵一兵,郭烈..基于多特征融合的前方车辆检测方法研究[J].计算机应用研究,2011,28(9):3572-3575,4.基金项目
中央高校基本科研业务资金资助项目(20083013893308) （20083013893308）
