CAJ | 학술논문

随着经济建设的快速发展，城市交通问题成为了人们亟待解决的问题。在智能交通系统领域中，背景提取和背景更新成为近年来计算机视觉领域的研究热点[1]。提出了一种应用于智能视频监控中的背景更新方法。在视频图像中，通过利用高斯混合模型获取背景图像，通过分块背景更新的方式提高背景更新的速度。
수착경제건설적쾌속발전，성시교통문제성위료인문극대해결적문제。재지능교통계통영역중，배경제취화배경경신성위근년래계산궤시각영역적연구열점[1]。제출료일충응용우지능시빈감공중적배경경신방법。재시빈도상중，통과이용고사혼합모형획취배경도상，통과분괴배경경신적방식제고배경경신적속도。
With the rapid development of economic construction,urban traffic problems become a serious problem.ln the field of intel igent transportation systems,background extraction and background updating become two hot research fields of com-puter vision in recent years.This paper presents a method of intel igent video surveil ance used in background updating.ln the video images,to get the background image through the use of Gaussian mixture model,by the way of updating the blocked backgrounds to improve the rate of background updating.