基于灰度图像的自适应背景模型运动物体检测算法比较研究  

Comparison of Moving Target Detection Algorithms using Adaptive Background Models in Grayscale Video Sequences

作　　者：纪运红[1] 张颖[1] 吴庆洪[1] 

机构地区：[1]辽宁科技大学电信学院,辽宁鞍山114044

出　　处：《现代电子技术》2007年第5期123-127,共5页Modern Electronics Technique

摘　　要：介绍了在视觉监控领域经常用到的几种基于自适应背景模型的经典方法,如非参数模型、W4模型、单高斯模型和混合高斯模型等。通过实验,着重从系统的敏感性、实时性和运动对象分割的完整性等方面分析比较了上述方法在检测过程中的优势及不足之处,以期在工程实践中有一定的参考作用。The paper introduces several classical methods for vision- surveillance using adaptive background models,such as the non-parametric model,W4 models, single C-aussian model and mixture Gaussian model and so on. Compares the proposed methods＇predominance and deficiency on the performance of detection sensitivity, real -time of the system and the full of the segmentation of moving target by experiments, which probably has some benefits for the project.

关 键 词：视觉监控 背景减除 混合高斯模型 运动物体检测 

分 类 号：TP391.41[自动化与计算机技术—计算机应用技术]