摘要
根据基于视频监控客流量统计的应用要求,得到了一种改进的背景检测和跟踪计数方法,实现了多人准确跟踪计数。传统的高斯背景建模是对一帧图像的每个像素点进行更新且分配固定的高斯分布个数,使得资源消耗量增大;这里通过先判断待更新区域,然后对更新区域采用动态调节高斯分布的方法对像素点进行更新,同时考虑到均值与方差的特点,分别设置了各自的更新速率。跟踪部分利用连通域分析创建人体结点并得到目标的形心,采用向前优先搜索像素点的原则搜索下一帧图像的所有像素点,通过搜索到的像素点来确定目标的新中心位置,再根据目标中心与计数线的关系进行计数。实验证明该算法简单可行,实现了多目标的准确跟踪,统计数据具有较高的正确率。
According to application requirement of video-based traffic statistics in video surveillance, the paper proposed improved background detection and tracking count method. Each pixel of a frame is to be updated in the traditional Gaussian background modeling and the number of Gaussian distribution is fixed which makes resources consumption in- crease. This article proposed that the update area is need to be fund firstly and then update the area. The region is upda- ted by using dynamic adjusting Gaussian distribution method. At the same time, considering the characteristics of the mean and variance, and seting respectively their update rate. Connected domain analysis is applied to create the human node and get the node＇s centroid. Finally according to the nodes＇ centroid which has been created in the list, first search forward is used. All target pixels are searched in the next frame which are used to determine the new position of the ob- ject in the video. Experiments show that the algorithm is simple and feasible and implements accurate tracking of multi- pie targets. The system achieves statistical data with high accuracy.
出处
《计算机科学》
CSCD
北大核心
2013年第6期268-271,共4页
Computer Science
基金
江苏省博士后科研资助计划基金项目(1001027B)
江苏省高校自然科学研究项目(09KJB510002)资助
关键词
视频监控
客流量统计
背景建模
混合高斯模型
连通域分析
多目标跟踪
Video surveillance, Traffic statistics, Background model, Mixture Gaussian model, Tracking of multiple targets, Connected domain analysis
