摘要
介绍了背景的提取与自适应更新的算法,提出了1种基于直方图统计与多帧平均混合的算法。这种算法克服单纯的多帧图像在车流量多、车速低时出现拖尾和模糊的现象,且相对于混合高斯模型,其计算复杂度并不大。该算法能够利用现有的TIDM642DSP硬件平台实现,实验图像表明其结果与前2种算法相比,提取的背景更符合实际场景。
The paper introduces background ward an algorithm of background extraction extractions with self-adaptive update algorithm and puts forbased on statistics of histogram combining with multi-frame average. It avoids the image trail-blur phenomena using pure multi-frame method on traffic jam, and has relative low computation complexity comparing with the mix Gauss model. It can run on the TI DM642 DSP hardware platform, the experimental image shows the better result and gets better background image than two methods before.
出处
《系统仿真技术》
2008年第4期242-246,共5页
System Simulation Technology
关键词
智能交通系统
视频检测
背景的提取
自适应更新算法
intelligent traffic system（ITS）
video detection
background extraction
self-adaptive update algorithm
