首页 | 本学科首页   官方微博 | 高级检索  
     

基于帧差法的运动车辆阴影去除算法
引用本文:李萌,郑娟毅,门瑜.基于帧差法的运动车辆阴影去除算法[J].电视技术,2016,40(10):11-14.
作者姓名:李萌  郑娟毅  门瑜
作者单位:西安邮电大学通信与信息工程学院,陕西西安,710121
基金项目:国家自然科学基金项目(面上项目,重点项目,重大项目)
摘    要:在视频交通车辆目标检测中,阴影问题是影响其检测准确性的关键问题之一.为了解决这个问题,提出了一种结合单模高斯模型和帧差法的运动目标阴影去除方法.首先通过单模高斯模型背景建模获取前景包括阴影在内的目标图像,再结合帧差法去除阴影.实验结果证明,该方法得到的车辆目标比较完整,并较好地去除了运动车辆阴影.

关 键 词:运动阴影去除  帧间差分法  单模高斯模型  车辆检测
收稿时间:2016/2/29 0:00:00
修稿时间:2016/5/12 0:00:00

Shadows of moving vehicles based on frame difference removal algorithm
Li Meng,Zheng Juanyi and Men Yu.Shadows of moving vehicles based on frame difference removal algorithm[J].Tv Engineering,2016,40(10):11-14.
Authors:Li Meng  Zheng Juanyi and Men Yu
Abstract:In the video transport vehicle target detection, shadow problem is one of the key issues affecting the detection accuracy. To solve this problem, we propose a combination of moving objects shadow single-mode Gaussian model and frame difference method of removal methods. First, get the target image includes shadows prospects, including through the single-mode Gaussian model, background modeling, combined with the frame difference remove the shadow. Experimental results show that the method to obtain the vehicle target more complete and better shadow addition to moving vehicles
Keywords:Moving shadow removal  Inter-frame difference method  Single-mode Gaussian model  Vehicle Detection
本文献已被 万方数据 等数据库收录!
点击此处可从《电视技术》浏览原始摘要信息
点击此处可从《电视技术》下载全文
设为首页 | 免责声明 | 关于勤云 | 加入收藏

Copyright©北京勤云科技发展有限公司  京ICP备09084417号