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视频流中的自适应阈值模板匹配车辆检测算法

刘玉秋, 王康平, 刑玉梅, 郭东伟, 王建宇, 周春光   

  1. 吉林大学 计算机科学与技术学院, 长春 130012
  • 收稿日期:2006-12-12 修回日期:1900-01-01 出版日期:2007-09-26 发布日期:2007-09-26
  • 通讯作者: 周春光

Algorithm of Adaptive Thresholds of Template Matching for Vehicle Detection in Video Flow

LIU Yuqiu, WANG Kangping, XING Yumei, GUO Dongwei, WANG Jianyu, ZHOU Chunguang   

  1. College of Computer Science and Techonology, Jilin University, Changchun 130012, China
  • Received:2006-12-12 Revised:1900-01-01 Online:2007-09-26 Published:2007-09-26
  • Contact: ZHOU Chunguang

摘要: 在传统帧差法的基础上, 通过对帧差法得到的感兴趣区域进行阈值处理, 得到用白色代表前景、 黑色代表背景的黑白二值图像, 并设计了自适应阈值模板匹配车辆检测算法从黑白二值图像中定位出运动车辆. 实验结果表明, 该算法简单, 容易实现, 能准确定位车辆.

关键词: 智能交通系统, 帧间差分, 自适应阈值, 模板匹配

Abstract: On the basis of traditional successive images difference, threshold processing was made to the region of interest which was obtained by the method of successive images difference, getting foreground which is represented by white pix and background which is represented by black pix, then a new algorithm was designedto detect the vehicle algorithm of adaptive thresholds of template matching for vehicle detection in video flow. Experiments demonstrate that the algorithm is simple, implemented easily, and can detect the vehicle exactly.

Key words: intelligent transportation systems, successive images difference, adaptive threshold, template matching

中图分类号: 

  • TP39