首页 | 本学科首页   官方微博 | 高级检索  
     

基于低比特率视频序列的运动对象分割算法
引用本文:秦晓芳,张有志.基于低比特率视频序列的运动对象分割算法[J].计算机工程与应用,2006,42(19):155-157.
作者姓名:秦晓芳  张有志
作者单位:山东大学信息科学与工程学院,济南,250100
摘    要:在兼顾运动图像分割效果和实时性的原则上,针对视频会议、新闻播报等低比特率视频序列,提出了一种简单高效的运动对象分割算法。首先利用累积帧差求出图像帧的运动区域,然后对其进行二值化和形态学处理得到帧差模板,最后利用二次扫描的方法得到运动对象掩模,对其进行填充就可以提取出运动对象。实验证明得到了较好的分割效果并且在实时性的应用中具有一定的优势。

关 键 词:低比特率  视频对象分割  累积帧差  掩模
文章编号:1002-8331-(2006)19-0155-03
收稿时间:2005-09-01
修稿时间:2005-09-01

Moving Object Segmentation Based on Low Bit Rate Video Sequences
Qin Xiaofang,Zhang Youzhi.Moving Object Segmentation Based on Low Bit Rate Video Sequences[J].Computer Engineering and Applications,2006,42(19):155-157.
Authors:Qin Xiaofang  Zhang Youzhi
Affiliation:School of Information Science and Technology, Shandong University, Jinan 250100
Abstract:Based on the rules of the segmentation result and real time requirement,aiming at low bit rate video sequences,an effective moving object segmentation algorithm is proposed.First we obtain the moving regions by accumulating the frame-differencing.Then we obtain the frame difference mask by thresholding and mathematical morphology processing.Finally,the moving object mask is scanned by every row and column,and filling moving object mask with original values gets extracted moving object.Experimental results demonstrate that the method can get a good result and it is an appeal for real-time applications.
Keywords:low bit rate  video object segmentation  accumulative frame-difference  mask
本文献已被 CNKI 维普 万方数据 等数据库收录!
设为首页 | 免责声明 | 关于勤云 | 加入收藏

Copyright©北京勤云科技发展有限公司  京ICP备09084417号