液晶与显示2023,Vol.38Issue(8):1128-1138,11.DOI:10.37188/CJLCD.2022-0350
复杂环境下基于改进DeepSORT的行人实时稳定跟踪方法
Stable and real-time pedestrian tracking method based on improved DeepSORT under complex background
摘要
关键词
多目标跟踪/实时跟踪/YOLOv5/核相关滤波算法/DeepSORTKey words
multiple object tracking/online tracking/YOLOv5/kernelized correlation filters/DeepSORT分类
信息技术与安全科学引用本文复制引用
张丽娟,张紫薇,姜雨彤,李东明,胡梦达,刘英雪..复杂环境下基于改进DeepSORT的行人实时稳定跟踪方法[J].液晶与显示,2023,38(8):1128-1138,11.基金项目
吉林省生态环境厅科研项目(吉环科字第 2021-07 号) (吉环科字第 2021-07 号)
吉林省科技发展计划重点研发项目(No.20210204050YY) (No.20210204050YY)
无锡学院引进人才科研启动专项经费(No.2023r004,2023r006)Support by Scientific Research Project of Jilin Provincial Department of Ecological Environment(No.2021-07) (No.2023r004,2023r006)
Key R&D Projects of Jilin Provincial Science and Technology Development Plan(No.20210204050YY) (No.20210204050YY)
Wuxi University Research Start-up Fund for Introduced Talents(No.2023r004,2023r006) (No.2023r004,2023r006)