一种基于改进块匹配算法的运动车辆检测

韦容; 申希兵; 杨毅

doi:10.3788/YJYXS20163104.0410

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一种基于改进块匹配算法的运动车辆检测

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- 一种基于改进块匹配算法的运动车辆检测
- Moving vehicle object detection based on improved blocking matching algorithm
- 液晶与显示 2016年31卷第4期页码：410-414
- 作者机构：
  
  1. 钦州学院外国语学院,广西钦州,535000
  2. 钦州学院资源与环境学院,广西钦州,535000
  3. 广西科技大学软件学院,广西柳州,545006
- 作者简介：
  
  [ "韦容(1982-),女,广西钦州人,硕士,高级工程师,主要研究领域为网络安全和网络管理。E-mail:weirong_20150203@163.com" ]
  [ "申希兵(1981-),男,广西钦州人,硕士,讲师,主要研究领域为数据挖掘。E-mail:shensb@163.com" ]
  [ "杨毅(1975-),男,广西钦州人,硕士,讲师,主要研究领域为人工智能。E-mail:yangyi@163.com" ]
- 基金信息：
  
  国家自然科学基金(No.61201108)()
- DOI：10.3788/YJYXS20163104.0410
  中图分类号： TP394.1
- 收稿日期：2015-02-05，
  
  修回日期：2015-06-25，
  
  纸质出版日期：2016-04-05
- 稿件说明：
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韦容, 申希兵, 杨毅. 一种基于改进块匹配算法的运动车辆检测[J]. 液晶与显示, 2016,31(4): 410-414

WEI Rong, SHEN Xi-bing, YANG Yi. Moving vehicle object detection based on improved blocking matching algorithm[J]. , 2016,31(4): 410-414
韦容, 申希兵, 杨毅. 一种基于改进块匹配算法的运动车辆检测[J]. 液晶与显示, 2016,31(4): 410-414 DOI： 10.3788/YJYXS20163104.0410.

WEI Rong, SHEN Xi-bing, YANG Yi. Moving vehicle object detection based on improved blocking matching algorithm[J]. , 2016,31(4): 410-414 DOI： 10.3788/YJYXS20163104.0410.

摘要

针对传统块匹配算法计算量大、光照变化较敏感和实时性差的缺陷

本文对块匹配算法进行了相关研究

提出了改进算法。首先把两幅彩色图像转化为灰度图像

并通过概率松弛标记算法获得边缘图像

计算相邻两幅图像的差分图像得到运动区域

然后将差分图像与边缘检测图像相与得到运动区域的边缘信息

再进行匹配得到位移矢量场并对其进行矢量中值滤波

最后通过顺序区域增长将运动车辆分割出来。实验结果表明:本文方法相对于传统方法平均检测时间降低约58 ms

而平均检测率提高了约6.7%。这种算法鲁棒性强、实时性好。

Abstract

For the imperfection of traditional block matching algorithm requiring large amount of computation

being more sensitive to light changes and having poor real-time

this paper conducts some related study about block-matching algorithm and proposes an improved algorithm. In this paper

block-matching algorithm is studied and an improved algorithm is proposed. First

two color images are converted to gray images

and the edge image is obtained by probabilistic relaxation labeling algorithm

to get the motion region by calculation difference image of two adjacent images. Then the edge information of moving region can be obtained by AND operation using the difference image with the edge detection image

and get the displacement vector by match operation

the vector median filtering is carried out. Finally

the moving vehicles can be obtained by region growing. Experimental results indicate that the average detection time of this method is reduced by about 58 ms compared with the traditional method

while the average detection rate is increased by about 6.7%. This algorithm has strong robustness

good real-time performance.

关键词

Keywords

references

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