An efficient deep learning-assisted person re-identification solution for intelligent video surveillance in smart cities

作     者：Muazzam MAQSOOD Sadaf YASMIN Saira GILLANI Maryam BUKHARI Seungmin RHO Sang-Soo YEO Muazzam MAQSOOD;Sadaf YASMIN;Saira GILLANI;Maryam BUKHARI;Seungmin RHO;Sang-Soo YEO

作者机构：Department of Computer ScienceCOMSATS University IslamabadAttock CampusAttock 43600Pakistan Department of Computer ScienceBahria UniversityLahore 54600Pakistan Department of Industrial SecurityChung-Ang UniversitySeoul 06974Republic of Korea Department of Computer EngineeringMokwon UniversityDaejeon 35349Republic of Korea 

出 版 物：《Frontiers of Computer Science》 (中国计算机科学前沿（英文版）)

年 卷 期：2023年第17卷第4期

页      面：83-96页

核心收录：

学科分类：12[管理学] 1201[管理学-管理科学与工程(可授管理学、工学学位)] 081104[工学-模式识别与智能系统] 08[工学] 080203[工学-机械设计及理论] 0835[工学-软件工程] 0802[工学-机械工程] 0811[工学-控制科学与工程] 0812[工学-计算机科学与技术（可授工学、理学学位）] 

基　　金：supported by Korea Institute for Advancement of Technology(KIAT)grant funded by the Korea Government(MOTIE)(P0008703,The Competency Development Program for Industry Specialist) the MSIT(Ministry of Science and ICT),Republic of Korea,under the ITRC(Information Technology Research Center)support program(IITP-2022-2018-0-01799)supervised by the IITP(Institute for Information&Communications Technology Planning&Evaluation) 

主　　题：Internet of Everything(IoE) visual surveillance systems big data security systems person re-identification(Re-ID) deep learning 

摘      要：Innovations on the Internet of Everything(IoE)enabled systems are driving a change in the settings where we interact in smart units,recognized globally as smart city ***,intelligent video-surveillance systems are critical to increasing the security of these smart *** precisely,in today’s world of smart video surveillance,person re-identification(Re-ID)has gained increased consideration by *** researchers have designed deep learningbased algorithms for person Re-ID because they have achieved substantial breakthroughs in computer vision *** this line of research,we designed an adaptive feature refinementbased deep learning architecture to conduct person *** the proposed architecture,the inter-channel and inter-spatial relationship of features between the images of the same individual taken from nonidentical camera viewpoints are focused on learning spatial and channel *** addition,the spatial pyramid pooling layer is inserted to extract the multiscale and fixed-dimension feature vectors irrespective of the size of the feature ***,the model’s effectiveness is validated on the CUHK01 and CUHK02 *** compared with existing approaches,the approach presented in this paper achieves encouraging Rank 1 and 5 scores of 24.6% and 54.8%,respectively.