标题:Robust and adaptive block tracking method based on particle filter
作者:Sun, Bin ;Liu, Zhi ;Zhang, Haixia
作者机构:[Sun, Bin ;Liu, Zhi ;Zhang, Haixia ] School of Information Science and Engineering, Shandong University, China
会议名称:8th International Conference on Mobile Multimedia Communications, MOBIMEDIA 2015
会议日期:25 May 2015 through 27 May 2015
来源:MOBIMEDIA 2015 - 8th International Conference on Mobile Multimedia Communications
出版年:2015
DOI:10.4108/icst.mobimedia.2015.259098
关键词:Blocking; Object tracking; Particle filter
摘要:In the field of video analysis and processing, object tracking is attracting more and more attention especially in traffic management, digital surveillance and so on. However problems such as objects' abrupt motion, occlusion and complex target structures would bring difficulties to academic study and engineering application. In this paper, a fragmentsbased tracking method using the block relationship coefficient is proposed. In this method, we use particle filter algorithm and object region is divided into blocks initially. The contribution of this method is that object features are not extracted just from a single block, the relationship between current block and its neighbor blocks are extracted to describe the variation of the block. Each block is weighted according to the block relationship coefficient when the block is voted on the most matched region in next frame. This method can make full use of the relationship between blocks. The experimental results demonstrate that our method can provide good performance in condition of occlusion and abrupt posture variation. Copyright © 2015 ICST.
收录类别:EI;SCOPUS
资源类型:会议论文;期刊论文
原文链接:https://www.scopus.com/inward/record.uri?eid=2-s2.0-85035001771&doi=10.4108%2ficst.mobimedia.2015.259098&partnerID=40&md5=cf936cfd60702b8411adb886e0c97223
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