Human tracking method based on multi-template color-texture mean-shift algorithm - 文章详情页

作者：

Wen, L. (Wen, L..) | Jia, S. (Jia, S..) | Wang, L. (Wang, L..)

收录：

Scopus

摘要：

Human　tracking　is　a　hot　topic　and　a　challenging　task　during　the　past　few　decades.　This　paper　present　a　multi　templates　based　strategy　for　human　detecting　and　tracking　with　a　mobile　robot.　This　method　first　determines　the　coarse　location　by　using　adaptive　template　matching　algorithm　(ATM)　based　on　head-shoulder.　Then,　a　multi-templates　based　method　is　presented　to　locate　the　person　precisely.　Multi　templates　considering　the　pose　changes　are　obtained　to　represent　the　person.　For　each　template,　the　mean-shift　is　proceeded.　Then,　the　accurate　position　is　obtained　by　fusing　the　results　of　the　Mean-shift　from　all　the　templates.　After　detecting　the　person,　the　templates　are　updated　by　considering　the　likelihood　of　the　tracking　results　and　the　old　templates.　Finally,　the　method　is　evaluated　on　a　mobile　robot　in　complex　environment.　The　experiment　result　shows　that　our　method　performs　well　when　there　are　unclear　disparity　image　and　pose　variations.　©　2015　IEEE.

关键词：

Head-shoulder matching; Human tracking; Mean-shift algorithm; Multi-template

作者机构：

[ 1 ] [Wen, L.]College of Electronic and Control Engineering, Beijing University of Technology, Beijing, 100124, China
[ 2 ] [Wen, L.]Beijing Key Laboratory of Computational Intelligence and Intelligent System, Beijing, 100124, China
[ 3 ] [Wen, L.]Engineering Research Center of Digital Community, Ministry of Education, Beijing, 100124, China
[ 4 ] [Jia, S.]College of Electronic and Control Engineering, Beijing University of Technology, Beijing, 100124, China
[ 5 ] [Jia, S.]Beijing Key Laboratory of Computational Intelligence and Intelligent System, Beijing, 100124, China
[ 6 ] [Jia, S.]Engineering Research Center of Digital Community, Ministry of Education, Beijing, 100124, China
[ 7 ] [Wang, L.]College of Electronic and Control Engineering, Beijing University of Technology, Beijing, 100124, China
[ 8 ] [Wang, L.]Beijing Key Laboratory of Computational Intelligence and Intelligent System, Beijing, 100124, China
[ 9 ] [Wang, L.]Engineering Research Center of Digital Community, Ministry of Education, Beijing, 100124, China

通讯作者信息：

电子邮件地址：

查看成果更多字段

成果类型
所属机构

所有年份指定年份从至