摘要
在视频监控系统中,以自适应背景差分法提取运动目标,并以单连接区域增长法标记各运动目标区域.针对在城市交通监控系统的特点,建立视频流中帧间图像的约束条件,利用相邻两帧目标之间的距离、平均灰度以及面积差等特征建立匹配距离测度函数,通过求全局最优解使得距离测度达最小,进而确定最佳匹配目标,并分析了目标运动过程中的遮挡现象及提出了解决方法.实验结果表明,该方法跟踪运动目标准确率达98%.
In video surveillance system, moving targets are extracted by adaptive background subtraction algorithm, then every region of moving target can be labeled by single linking region growing algorithm. Aiming at some features of urban traffic surveillance system, some restricted conditions are formed, some eigenvalues, such as distance, average values of gray and difference of areas, are used to establish measure function for matching in moving targets between two adjacent images, the minimum of measurement di...
出处
《电子器件》
CAS
2007年第6期2159-2162,共4页
Chinese Journal of Electron Devices
基金
天津市高校科技发展基金资助项目(20041314)
关键词
图像处理
视频监控
多目标跟踪
智能交通
image processing
video surveillance
multi-target tracking
intelligent transportation system
