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Online Multi-Object Tracking Based on Record Confidence and Hierarchical Association for Cyber-Physical Social Intelligence

Jieming Yang Dezhen Feng Yuan Gao Cong Liu

大数据挖掘与分析（英文版）2025，Vol.8Issue(4)：851-866,16.

大数据挖掘与分析（英文版）2025，Vol.8Issue(4)：851-866,16.DOI:10.26599/BDMA.2025.9020024

Online Multi-Object Tracking Based on Record Confidence and Hierarchical Association for Cyber-Physical Social Intelligence

Jieming Yang ¹Dezhen Feng ²Yuan Gao ¹Cong Liu³

作者信息

1. School of Computer and Artificial Intelligence,Zhengzhou University,Zhengzhou 450001,China
2. School of Computer Science and technology,Hainan University,Haikou 570228,China
3. School of Computer Science and Technology,Huazhong University of Science and Technology,Wuhan 430074,China
折叠

摘要

关键词

multi-object tracking/deep learning/object detection/neural network

Key words

multi-object tracking/deep learning/object detection/neural network

引用本文复制引用

Jieming Yang,Dezhen Feng,Yuan Gao,Cong Liu..Online Multi-Object Tracking Based on Record Confidence and Hierarchical Association for Cyber-Physical Social Intelligence[J].大数据挖掘与分析（英文版）,2025,8(4):851-866,16.

基金项目

This work was supported by the National Natural Science Foundation of China(No.62302130). （No.62302130）

大数据挖掘与分析（英文版）

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