微型机与应用2011，Vol.30Issue(23)：43-45,50,4.
边缘检测与混合高斯模型相融合的运动目标检测算法
Moving object detection method based on edge detection and Gaussian mixture model
摘要
Abstract
Aiming at the fact that the traditional Gaussian mixture model can not deal with the mutations effectively, this paper proposes an improved moving object detection algorithm. The model＇s updating mechanism is improved on the time domain, while joining frame disposal to the model, and obtain the preliminary moving object. Canny edge detection operator is used to get the edge figure on the space domain, and extract the preliminary outline of the moving object. Using the multi-resolution characteristics of the image-pyramid to eliminate the noise in background region, perform further operation, and extract the preliminary moving object again. Obtain the result by logic and processing for these two objects. Experiments show that this algorithm can effectively handle the mutation, and improve motion detection precision.关键词
边缘检测/混合高斯模型/运动目标检测/背景减除Key words
edge detection/Guassian mixture model/moving object detection/background subtraction分类
信息技术与安全科学引用本文复制引用
潘欣艳,徐荣青,崔媛媛,王玉杰,关丽,王斌斌..边缘检测与混合高斯模型相融合的运动目标检测算法[J].微型机与应用,2011,30(23):43-45,50,4.基金项目
国家自然科学基金 （）
