中文摘要：

针对经典混合高斯算法对非平稳场景过于敏感的问题,提出了混合高斯模型运动检测算法的优化方法。在检测算法流程的匹配高斯模态选择、模型更新和背景显示上分别作了优化：综合考虑模态权重与模态自身匹配度,选择匹配高斯模态;统一初始化与检测过程中的模型更新,即使视频检测的背景变化较大,系统也能较快地建立理想背景模型;综合考虑背景模型各模态分布,清楚反映了背景模型的具体分布。实验结果表明,与经典混合高斯算法相比,优化算法在克服背景扰动、降低误检率上表现良好,有效提高了混合高斯算法对场景变化的适应性。优化算法在实际工程应用中效果良好。

英文摘要：

Considering the sensitivity of Gaussian mixture model in non-stationary scenes,the proposed method improved the Gaussian mixture model algorithm,especially in three ways.The method combined the weights and models themselves while choosing the best matched Gaussian mode,and used the same update method at system initializing and motion detecting process,creating an ideal background model as quickly as possible,even if the background had significant changes,and considered the background model distribution of each mode,while displaying the background,making the show of background reflect the specific distributions of the background model clearly.Compared with the classical Gaussian mixture algorithm,the proposed method does well in overcoming the background disturbances and reducing the false detection rate.The proposed method also has a good performance in engineering applications.