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运动物体变化检测算法研究
引用本文:刘静,鹿雪娇,刘继承.运动物体变化检测算法研究[J].佳木斯工学院学报,2010(2):228-231.
作者姓名:刘静  鹿雪娇  刘继承
作者单位:[1]大庆油田工程公司,黑龙江大庆163416 [2]大庆石油学院,黑龙江大庆163318
基金项目:黑龙江省科技攻关课题资助(GZ06J101).
摘    要:运动物体的变化检测,恢复和提取是运动检测中的三个重要环节,本文根据视频监控设备CCD器件成像特征以及帧间差运动变化检测方案,建立了一种利用灰度均值和方差作为判决门限的高斯运动变化检测模型,运动检测实验证明,利用该模型可以相对准确的检测出视频序列图像中的运动变化区域.

关 键 词:运动检测  运动检测模型  图像差分

Algorithm for Change Detection of Moving Objects
Affiliation:LIU Jing, LU Xue -jiao, LIU Ji - cheng(1. Daqing Oil Field Engineering Ltd, Daqing 163416, China; 2. Daqing Petroleum Institute, Daqing 163318, China)
Abstract:The change detection, image recovery and extraction of moving objects are three important links. A Gauss moving and change detection model is designed based on the imaging character of video supervising equipment CCD and the scheme of moving and change detection in image difference, using gray mean and variance as the decision threshold. Moving detection experiment shows that the moving area of video sequence image can be obtained relatively accurately with this model.
Keywords:moving and change detection  moving and change detection model  image difference
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