Studies of Fast Extraction Algorithm for People Detection Window Based on Depth Information - 文章详情页

作者：

Fu, L. (Fu, L..) | Zhao, R. (Zhao, R..) | Chen, J. (Chen, J..) | Chen, Q. (Chen, Q..) | Wang, D. (Wang, D..)

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Scopus PKU CSCD

摘要：

To　improve　the　generalization　performance　of　detection　window　extraction　on　people　detection,　a　fast　extraction　algorithm　based　on　depth　information　was　proposed.　The　geometric　centers　of　detection　windows　were　obtained　by　calculating　extreme　values　of　frequency　of　depth　data.　And　the　sizes　of　detection　windows　were　obtained　based　on　the　relationship　between　depth　and　height　in　depth　image.　Finally,　a　series　of　people　detection　windows　were　extracted　fast.　And　the　algorithm　was　evaluated　from　the　number　of　detection　windows,　response　time　and　the　accuracy.　Experimental　results　show　the　feasibility　and　efficiency　of　this　method.　©　2017,　Editorial　Department　of　Journal　of　Beijing　University　of　Technology.　All　right　reserved.

关键词：

Depth image; Image scale space search; People detection

作者机构：

[ 1 ] [Fu, L.]Faculty of Information Technology, Beijing University of Technology, Beijing, 100124, China
[ 2 ] [Zhao, R.]Faculty of Information Technology, Beijing University of Technology, Beijing, 100124, China
[ 3 ] [Chen, J.]Faculty of Information Technology, Beijing University of Technology, Beijing, 100124, China
[ 4 ] [Chen, Q.]Faculty of Information Technology, Beijing University of Technology, Beijing, 100124, China
[ 5 ] [Wang, D.]Faculty of Information Technology, Beijing University of Technology, Beijing, 100124, China

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