| 复杂背景图像中检测动目标的一种方法 |
| |
| 引用本文： | 刘永信,魏平,侯朝桢,李春贵,潘秀琴.复杂背景图像中检测动目标的一种方法[J].计算机工程与应用,2002,38(23):22-24. |
| |
| 作者姓名： | 刘永信 魏平 侯朝桢 李春贵 潘秀琴 |
| |
| 作者单位： | 1. 北京理工大学自动控制系,北京,100081
2. 北京理工大学生产技术研究所,北京,100081 |
| |
| 基金项目： | 国家自然科学基金资助项目(编号:39860020) |
| |
| 摘 要： | 该文研究了基于Kalman滤波理论的渐消记忆递归最小二乘法,探讨了渐消记忆递归最小二乘法在重建图像背景中的应用,并用于实现在复杂背景下视频图像动目标的检测。首先用该算法对复杂背景进行更新预测,然后用当前帧图像与预测背景差分提取动目标,最后用灰度投影算法计算出目标的质心。整个目标检测方法简单、有效,便于用硬件快速实现。文中给出了实验结果。
|
| 关 键 词： | 动目标检测 背景重建 Kalman滤波 |
| 文章编号： | 1002-8331-(2002)23-0022-03 |
| 修稿时间： | 2002年8月1日 |
A Method of Moving Visual Object Detection in Image Sequence under Complex Background |
| |
| Liu Yongxin,Wei Ping,Hou Chaozhen,Li Chungui,Pan Xiuqin.A Method of Moving Visual Object Detection in Image Sequence under Complex Background[J].Computer Engineering and Applications,2002,38(23):22-24. |
| |
| Authors: | Liu Yongxin Wei Ping Hou Chaozhen Li Chungui Pan Xiuqin |
| |
| Affiliation: | Liu Yongxin 1 Wei Ping 2 Hou Chaozhen 1 Li Chungui 1 Pan Xiuqin 11 |
| |
| Abstract: | The fading memory recursive least-squares based on Kalman filter is studied,and the fading recursive least-squares applied to rebuild image background is also discussed in this paper,which is used for moving visual object detection in image sequence under the complex background.First,this algorithm is adopted to predict and update the complex image background,and then the moving object is segmented by current frame difference from predicted background.And at last the gray projection algorithm is used to calculate the centroid of detected object.This method of object detection is simple and efficient ,and can be more quickly achieved by hardware.The experiment result of image processing is also described. |
| |
| Keywords: | Moving object detection Background rebuild Kalman filtering |
| 本文献已被 CNKI 维普 万方数据 等数据库收录！ |
|
