CAJ | 학술논문

高斯混合模型已经成为对视频利用背景减除法进行运动目标检测的最多的一种背景建模模型，也成为一种标准模型。首先对高斯混合模型的理论框架进行了分析，然后采用OpenCV技术实现高斯混合模型来检测视频运动目标，实验结果表明高斯混合模型对摄像头静止的道路监控视频运动目标检测具有较好的效果。最后以该运动目标检测技术为基础设计了一种智能视频监控系统，该系统具有较好的实用性。
고사혼합모형이경성위대시빈이용배경감제법진행운동목표검측적최다적일충배경건모모형，야성위일충표준모형。수선대고사혼합모형적이론광가진행료분석，연후채용OpenCV기술실현고사혼합모형래검측시빈운동목표，실험결과표명고사혼합모형대섭상두정지적도로감공시빈운동목표검측구유교호적효과。최후이해운동목표검측기술위기출설계료일충지능시빈감공계통，해계통구유교호적실용성。
Gaussian mixture model is the most used method for background modeling of the implementation of background subtraction in video sequences,and has become the standard method. First analyze the theory framework underlying the method,then use OpenCV tech-nology to implement it. The results show that the Gaussian mixture model has a good effect on the moving object detection of road moni-tor video. Finally,design an intelligent video monitoring system based on the moving object detection,the system has better practicability.