J4 ›› 2007, Vol. 29 ›› Issue (8): 40-42.
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单勇[1,2] 王润生[2] 杨凡[1]
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摘要：
运动目标检测是视频处理的基础，而目标的阴影在很大程度上影响了目标的真实形状，干扰了真实目标的检测。本文提出了一个以混合高斯模型为基础，结合多特征的运动目 标检测方法。将阴影消除算子、帧差、方差及彩色信息融合到背景模型中，能较准确地检测运动目标并消除阴影的影响。
关键词: 混合高斯模型 运动检测 阴影
Abstract:
Motion detection is the basis of video processing. The shape ot an object is attected mostly by xts shadow, by which the true object detection is inte rfered. In this paper, a multi-feature motion detection method is put forth based on the hybrid Gaussian model. By putting the shadow elimination operat or, frame difference, variance and color information into the background model, a moving object can be detected more correctly by the method and the eff ect of shadow can be eliminated.
Key words: （hybrid Gaussian model, motion detection, shadow）
单勇[1,2] 王润生[2] 杨凡[1]. 基于多特征背景模型的运动目标检测算法[J]. J4, 2007, 29(8): 40-42.
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http://joces.nudt.edu.cn/CN/Y2007/V29/I8/40
