自适应背景下的运动目标检测

A detection of moving objects under auto adapted background

智能视频监视就是实时地观测被监视场景的运动目标,如人或车辆等,并且分析描述其行为。在数字视频监控系统中,从视频流里捕获出序列图像并进行实时运动检测是一项重要的功能。采用基于自适应背景相减法的运动目标检测,并结合数学形态学的方法来进行特征提取。该方法由于增强了边缘检测技术,所以有效地提高了检测水平。

Intelligent video frequency surveillance not only observes the moving objects of the watched scene in spot,such as human and vehicle etc.,but also analyzes and describes their action.In the digital video supervisory system,it is an important function that captures image sequence from video-stream and detects the moving objects in real time based on image sequence.Use the dectection of moving objects based on the auto-adapted background subtractive method and draw the features with the mathematics morphology method,which has effectively raised the dectecting level because of strengthening the edge examination technology.