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基于灰度信息的动场景视频序列中运动对象的提取
引用本文:赵江波,沈伟,王军政.基于灰度信息的动场景视频序列中运动对象的提取[J].光学技术,2008,34(1):55-57.
作者姓名:赵江波  沈伟  王军政
作者单位:北京理工大学,信息科学技术学院自动控制系,北京,100081
基金项目:国家"211"工程建设项目
摘    要:提出了一种基于视频序列灰度信息的运动对象提取方法。该方法采用改进的Sobel算子提取边缘图像,依据边缘信息将视频图像分割为不同的灰度连续区域。在各灰度连续区域中,选取特征点进行匹配获得特征点对。根据特征点对合并灰度连续区域,获得全局运动参数。采用具有自适应帧间隔的帧差交集法,获得图像中运动对象区域。结合灰度信息和运动信息,分割出运动对象。实验结果表明,该算法可以有效地将运动对象从视频序列中提取出来。

关 键 词:全局运动估计  运动目标检测  图像分割  图像处理
文章编号:1002-1582(2008)01-0055-03
修稿时间:2006年12月11

Extraction of moving object in video sequences of a dynamic scene based on gray
ZHAO Jiang-bo,SHEN Wei,WANG Jun-zheng.Extraction of moving object in video sequences of a dynamic scene based on gray[J].Optical Technique,2008,34(1):55-57.
Authors:ZHAO Jiang-bo  SHEN Wei  WANG Jun-zheng
Abstract:An improved moving object segmentation method is presented based on gray in the video sequence.The Sobel is improved and the edge is extracted.The image is divided up into several connected areas based on the edge.The feature points are selected in the connected areas and are matched for connected areas merging and the global motion parameter.Motion region is obtained by using the frame difference intersection of adaptive frame interval in corrected image sequence.The motion object is extracted based on the relation between the connected area and motion region utilizing.The experimental results show that the algorithm is reasonable and effective in moving objective segmentation in video sequence in the dynamic background.
Keywords:global motion estimation  moving object detection  image segmentation  image processing
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