| 分布式摄像机的运动目标匹配 |
| |
| 引用本文： | 刘琳,景阳.分布式摄像机的运动目标匹配[J].科学技术与工程,2014,14(21). |
| |
| 作者姓名： | 刘琳 景阳 |
| |
| 作者单位： | 南京理工大学,中国人民公安大学 |
| |
| 摘 要： | 在分布式摄像机视频监控中,传统单独使用PHD(部分Hausdorff距离)等方法进行运动目标匹配效率低下;对此,提出了一种高精度的图像匹配算法。首先采用混合高斯模型从各个摄像机视频中提取运动目标,提取目标的harris角点,采用NCC(归一化互相关)初步确定角点中的匹配点对,采用PHD做二次匹配,去除明显误匹配的点对,最后结合基础矩阵计算匹配点对的匹配度。实验表明,该方法提高了匹配效率,且具有较高的匹配精度。
|
| 关 键 词： | 运动目标匹配 NCC PHD 基础矩阵 |
| 收稿时间： | 2014/2/20 0:00:00 |
| 修稿时间： | 2014/2/20 0:00:00 |
Moving Objects Matching of Distributed Cameras |
| |
| Liu Lin and jingyang.Moving Objects Matching of Distributed Cameras[J].Science Technology and Engineering,2014,14(21). |
| |
| Authors: | Liu Lin and jingyang |
| |
| Institution: | People's Public Security University of China |
| |
| Abstract: | For moving objects matching of distributed cameras in modern video surveillance, the traditional PHD method is inefficient. For this, we present a high-precision image matching algorithm. First, we extract moving objects from each camera video by Gaussian mixture model and get the Harris corners of the objects. Then, determine the matching corners using NCC algorithm and PHD for twice-matching as a result of which the obvious false matching points are removed. Finally, we get the matching rate through the fundamental matrix and the matching accuracy is improved on. |
| |
| Keywords: | Moving Objects Matching NCC PHD Fundamental Matrix |
| 本文献已被 CNKI 等数据库收录！ |
| 点击此处可从《科学技术与工程》浏览原始摘要信息 |
| 点击此处可从《科学技术与工程》下载免费的PDF全文 |
|
