无线电通信技术2012，Vol.38Issue(4)：51-53,59,4.
基于协方差矩阵的复杂背景中目标检测
Moving Object Detection in Complex Background Based on Covariance Matrix
段松传 1韩彦芳 1徐伯庆1
作者信息
- 1. 上海理工大学光电信息与计算机工程学院,上海200093
- 折叠
摘要
Abstract
Many methods can be used for moving object detection in video,but most of them can＇t detect moving object from complex background. The paper presents a method for moving object detection. The eovariance matrix algorithm integrates two different levels：pixel level and region level. At the pixel level, spatial properties that are obtained from pixel level coordinate value,intensity, texture,gradient and so on. At the region level,the correlation of pixels is represented by a covariance matrix that is calculated over a rectangle region around the pixel. The Experiment results show this method is more robust, and dramatically outperforms traditional method for moving object detection.关键词
目标检测/协方差矩阵/像素/区域Key words
object detection/covariance matrix/pixel/region分类
信息技术与安全科学引用本文复制引用
段松传,韩彦芳,徐伯庆..基于协方差矩阵的复杂背景中目标检测[J].无线电通信技术,2012,38(4):51-53,59,4.
