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Received:March 06, 2014 Revised:March 27, 2014
Received:March 06, 2014 Revised:March 27, 2014
中文摘要: 为了解决车载视频背景实时变化的情况下车辆检测和跟踪问题, 提出了一种基于车尾中轴特征的车辆识别及跟踪算法, 其特点在于采用新颖的车尾中轴特征. 车尾中轴特征具体为以两盏刹车灯为端点, 车牌在端点连线的对称轴上. 算法在取得目标区域之后计算其直方图信息, 进行粒子滤波器跟踪. 最后测试了算法的可行性.
Abstract:In order to solve the case of vehicle video background changes in real time vehicle detection and tracking issues, this article raises a rear axle feature-based vehicle identification and tracking algorithm. Its characteristic is using innovative rear axle feature. Axial characteristics are specific for the two in the rear brake light for the endpoint, license plate at the end line of the axis of symmetry. Algorithm will calculate its histogram information after obtaining the target area and particle filter tracking. Finally, we test the feasibility of algorithms.
文章编号： 中图分类号： 文献标志码：
基金项目:
| Author Name | Affiliation |
| SUN Liang | College of Computer and Information, Hehai University, Nanjing 211100, China |
| MENG Zhao-Hui | College of Computer and Information, Hehai University, Nanjing 211100, China |
| Author Name | Affiliation |
| SUN Liang | College of Computer and Information, Hehai University, Nanjing 211100, China |
| MENG Zhao-Hui | College of Computer and Information, Hehai University, Nanjing 211100, China |
引用文本：
孙亮,孟朝晖.基于车尾中轴特征的粒子滤波跟踪算法.计算机系统应用,2014,23(11):140-144
SUN Liang,MENG Zhao-Hui.Vehicle Detection and Tracking Algorithm of Rear feature Based on Particle Filter.COMPUTER SYSTEMS APPLICATIONS,2014,23(11):140-144
孙亮,孟朝晖.基于车尾中轴特征的粒子滤波跟踪算法.计算机系统应用,2014,23(11):140-144
SUN Liang,MENG Zhao-Hui.Vehicle Detection and Tracking Algorithm of Rear feature Based on Particle Filter.COMPUTER SYSTEMS APPLICATIONS,2014,23(11):140-144
