摘要
为了提高智能化交通视频目标车辆检测能力,提出基于边缘轮廓特征检测的智能化交通视频目标车辆提取数学模型构建方法.采用多维视频传感器实现智能化交通视频目标车辆图像采集,对采集的智能化交通视频目标车辆图像进行边缘轮廓特征检测和信息识别,提取智能化交通视频目标车辆图像的模糊度特征量,采用线性相关特征分析和图像视觉特征融合技术实现对智能化交通视频目标车辆图像的特征检测和特征提取,建立智能化交通视频目标车辆图像的检测识别和视觉融合模型.仿真结果表明,采用该方法进行智能化交通视频目标车辆提取的辨识度水平较高,对目标车辆的识别的效率和精度更高.
In order to improve the ability of intelligent traffic video target vehicle detection,a mathematical model construction method of intelligent traffic video target vehicle extraction based on edge contour feature detection is proposed.The multi-dimensional video sensors are used to collect intelligent traffic video target vehicle images.The edge contour feature of the captured intelligent traffic video target vehicle image is detected and recognized.The fuzzy feature quantity of the target vehicle image of the intelligent transportation video is extracted.Next,the linear correlation feature analysis and image visual feature fusion technology are used to achieve feature detection and feature extraction of intelligent traffic video target vehicle images.At last,the detection,recognition and visual fusion model of intelligent traffic video target vehicle image is established.The simulation results show that the proposed method has a higher degree of target vehicle extraction and recognition based on intelligent traffic video.In addition,this method is more efficient and accurate in target vehicle recognition than other methods.
作者
常天兴
CHANG Tianxing(School of Mechanical and Electrical Engineering,JinZhong Vocationnal Technical College,Jinzhong Shanxi 030600)
出处
《宁夏师范学院学报》
2021年第4期92-98,共7页
Journal of Ningxia Normal University
关键词
智能化交通视频
目标车辆
提取
数学模型
图像
Intelligent traffic video
Target vehicle
Extract
Mathematical model
Image
