标题:Object localization and tracking based on multiple sensor fusion in intelligent home
作者:Yin, Jianqin ;Tian, Guohui ;Li, Guodong
作者机构:[Yin, Jianqin ] School of Information Science and Engineering, University of Jinan, Jinan 250022, China;[Yin, Jianqin ;Tian, Guohui ;Li, Guodong ] Sch 更多
会议名称:26th Chinese Control and Decision Conference, CCDC 2014
会议日期:31 May 2014 through 2 June 2014
来源:26th Chinese Control and Decision Conference, CCDC 2014
出版年:2014
页码:5266-5270
DOI:10.1109/CCDC.2014.6853120
关键词:Intelligent Space; Multiple Sensors Fusion; Object Localization and Tracking
摘要:A novel scheme for object localization and tracking under family environment is presented based on fusion of multiple sensors, which include two laser sensors and camera sensors. The two laser sensors and two cameras are used to locate the object separately, and multiple sensors probability data association fusion algorithm is used to track the objects. Firstly, object detection is realized by laser sensors and vision sensors separately. Secondly, the laser data is fused by Extended Kalman Filter. To obtain the vision location results, background model is built by adaptive background updating based on motion history images. Background subtraction is used to acquire the original location result, which is filtered by Kalman Filter. Finally, multiple sensors probability data association fusion algorithm is used to fuse the different kinds of data. Experimental results show that the scheme can efficiently solve the problem of object localization and tracking. © 2014 IEEE.
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-s2.0-84905230307&doi=10.1109%2fCCDC.2014.6853120&partnerID=40&md5=1e603c59fb94dad231ca7770baf77de6
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