| 基于运动连通性的初始视频对象提取 |
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| 引用本文： | 王煜坚,吴镇扬.基于运动连通性的初始视频对象提取[J].东南大学学报,2007,23(4):500-506. |
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| 作者姓名： | 王煜坚 吴镇扬 |
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| 作者单位： | 东南大学信息科学与工程学院，东南大学信息科学与工程学院 南京210096，上海贝尔阿尔卡特朗讯股份有限公司网络融合集团多媒体事业部，上海201206，南京210096 |
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| 摘 要： | 为了从视频序列中获取初始视频对象,提出了一种改进的基于运动连通性的初始视频对象提取算法.视频中的运动对象高度连通结构化,这就使得运动连通性是适用于视频对象分割的高级特征.据此首先对反映对象的一致性运动的累计帧差图进行尖锐噪声滤除,然后应用自适应阈值算法提取对象运动区域,接着根据运动连通性标记出最大连通区域,通过后处理得到视频对象的分割模版从而有效提取出初始视频对象.对比实验结果表明,该算法能自动、快速、准确地提取出初始视频对象,获得了理想的主客观分割效果.
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| 关 键 词： | 视频对象提取 运动连通性 自适应阈值 累积帧差图 |
| 收稿时间： | 2007-02-28 |
| 修稿时间： | 2007年2月28日 |
Motion connectivity-based initial video object extraction |
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| Wang Yujian,Wu Zhenyang.Motion connectivity-based initial video object extraction[J].Journal of Southeast University(English Edition),2007,23(4):500-506. |
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| Authors: | Wang Yujian Wu Zhenyang |
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| Institution: | 1, School of Information Science and Engineering, Southeast University, Nanjing 210096, China;2,CBG/MMPD, Alcatel-Lucent Shanghai Bell Co. Ltd., Shanghai 201206, China |
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| Abstract: | In order to obtain the initial video objects from the video sequences, an improved initial video object extraction algorithm based on motion connectivity is proposed.Moving objects in video sequences are highly connected and structured,which makes motion connectivity an advanced feature for segmentation.Accordingly,after sharp noise elimination,the cumulated difference image,which exhibits the coherent motion of the moving object,is adaptively thresholded.Then the maximal connected region is labeled,post-processed and output as the final segmenting mask.Hence the initial video object is effectively extracted. Comparative experimental results show that the proposed algorithm extracts the initial video object automatically,promptly and properly,thereby achieving satisfactory subjective and objective performance. |
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| Keywords: | video object extraction motion connectivity adaptive threshold cumulated difference image |
| 本文献已被 CNKI 维普 万方数据 等数据库收录！ |
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