1. 昆明理工大学信息工程与自动化学院
2. 云南省智能交通系统工程技术研究中心智能图像处理研究室
纸质出版:2017
移动端阅览
[1]刘凯雄,李玉惠,李勃,刘加运.高速道路交通视频中车辆目标提取研究[J].传感器与微系统,2017,36(10):35-37.
LIU Kai-xiong, LI Yu-hui, LI Bo, et al. Research on video vehicle object extraction based on high-speed road traffic[J]. 2017, 36(10): 35-37.
[1]刘凯雄,李玉惠,李勃,刘加运.高速道路交通视频中车辆目标提取研究[J].传感器与微系统,2017,36(10):35-37. DOI: 10.13873/J.1000-9787(2017)10-0035-03.
LIU Kai-xiong, LI Yu-hui, LI Bo, et al. Research on video vehicle object extraction based on high-speed road traffic[J]. 2017, 36(10): 35-37. DOI: 10.13873/J.1000-9787(2017)10-0035-03.
为了能够从监控视频中快速、准确地分析车辆目标
提出了基于感兴趣区域(ROI)的车辆目标提取方法。针对高速公路监控视频
利用混合高斯背景建模
在视频中划定ROI
以排除逆向车道车辆目标的影响
应用图像形态学进行干扰点排除与前景图像轮廓空洞填充
对运动车辆目标进行检测后
用最小矩形方框法自动截取目标
最终
通过图像尺度归一化建立车辆样本数据库
为车型分类和识别提供目标图像。实验结果表明:该方法对车辆目标提取准确率高
且图像数据库样本丰富。
In order to analyze on vehicle target from the surveillance video quickly and accurately
vehicle target extraction method based on region of interest( ROI) area is proposed. Aiming at highway surveillance video
use Gaussian mixture background for modeling
draw ROI area invideo
to eliminate the influence of the reverse drive vehicle target
by method of image morphology for eliminating interference points and image contour cavity filling
after detecting vehicle moving target automatically intercept target with minimum rectangular box method
and finally build vehicles sample database by normalized image scale
provide target image for vehicle classification and recognition. The experimental results show that extraction accuracy of vehicle target by the method is high
and be able to rich the image database sample.
连续帧间差分与背景差分相融合的运动目标检测方法 [J]. 屈晶晶,辛云宏. 光子学报 . 2014(07)
图像融合研究综述 [J]. 朱炼,孙枫,夏芳莉,韩瑜. 传感器与微系统 . 2014(02)
基于虚拟检测线的交通视频关键帧提取 [J]. 夏洁,吴健,陈建明,崔志明. 苏州大学学报(工科版) . 2010(02)
路面车辆的视觉检测方法 [J]. 缪小冬,李舜酩,沈峘,刘建娅,安木金. 传感器与微系统 . 2010(02)
High efficient moving object extraction and classification in traffic video surveillance [J]. Li Zhihua,Zhou Fan,Tian Xiang & Chen Yaowu Inst,of Advanced Digital Technology and Instrument,Zhejiang Univ.,Hangzhou 310027,P.R.China. Journal of Systems Engineering and Electronics . 2009(04)
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