Mobile person re-identification with a lightweight trident CNN  

作　　者：Mingfu XIONG Dan CHEN Xiaoqiang LU 

机构地区：[1]Engineering Research Center of Hubei Province for Clothing Information,School of Mathematics and Computer Science,Wuhan Textile University,Wuhan 430200,China [2]National Engineering Research Center for Multimedia Software,School of Computer Science,Wuhan University,Wuhan 430072,China [3]Center for OPTical IMagery Analysis and Learning(OPTIMAL),State Key Laboratory of Transient Optics and Photonics,Xi'an Institute of Optics and Precision Mechanics,Chinese Academy of Sciences,Xi'an 710068,China

出　　处：《Science China(Information Sciences)》2020年第11期267-269,共3页中国科学（信息科学）（英文版）

基　　金：supported in part by National Natural Science Foundation of China(Grant Nos.61772380,61977027);Major Project for Technological Innovation of Hubei Province(Grant No.2019AAA044);Science and Technology Major Project of Hubei Province(Next-Generation AI Technologies)(Grant No.2019AEA170);Foundation for Innovative Research Groups of Hubei Province(Grant No.2017CFA007);Science and Technology Planning Project of Shenzhen(Grant No.JCYJ20170818112550194);Open Foundation for Engineering Research Center of Hubei Province for Clothing Information(Grant No.184084012)。

摘　　要：Dear editor,Person re-identification(re-ID)aims to recognize or associate a person and time at non-overlapping physical locations after the person had been previously observed visually elsewhere.This technology is considered increasingly important in sustaining social security for smart cities[1].

关 键 词：EDITOR CNN SMART 

分 类 号：TP183[自动化与计算机技术—控制理论与控制工程] TP391.41[自动化与计算机技术—控制科学与工程]