【24h】

Video Objects Extraction Based On DFD Between The Frames and Threshold Segmentation

机译:基于帧间DFD和阈值分割的视频对象提取

获取原文

摘要

In order to eliminate the effect caused by noise,complex motion,and uncovered background in the process of change detection segmenting video objects,a new method for video objects extraction based on DFD between the frames and thresho|d segmentation is proposed In this method,filtering and obtained two consecutive difference between the frames,and then amended the difference images by "assimilation filled" to get the difference template,and use the templates buffer to maintain the integrity,of iteration template. The algorithm does not depend on a fixed background,and can eliminate the uncovered background in the difference images,we can get precise shape of the moving targets by use this method,and this algorithm is simple and fast.
机译:为了消除在变化检测分割视频对象过程中由噪声,复杂运动和背景未被覆盖所造成的影响,提出了一种基于帧间DFD和经分割的视频对象提取的新方法。过滤并获得帧之间连续的两个差值,然后通过“同化填充”对差值图像进行修正,得到差值模板,并使用模板缓冲区保持迭代模板的完整性。该算法不依赖于固定的背景,可以消除差分图像中未被发现的背景,使用该方法可以得到运动目标的精确形状,该算法简单,快速。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号