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UniCount:Mining Large-Scale Video Data for Universal Repetitive Action Counting

Yin Tang Deyu Zhang Wei Luo Fan Wu Feng Lyu Ruixiang Hang Lei Zhang Yaoxue Zhang

大数据挖掘与分析（英文版）2025，Vol.8Issue(5)：1112-1126,15.

大数据挖掘与分析（英文版）2025，Vol.8Issue(5)：1112-1126,15.DOI:10.26599/BDMA.2025.9020017

UniCount:Mining Large-Scale Video Data for Universal Repetitive Action Counting

Yin Tang ¹Deyu Zhang ²Wei Luo ²Fan Wu ²Feng Lyu ²Ruixiang Hang ³Lei Zhang ⁴Yaoxue Zhang⁵

作者信息

1. Big Data Institute,Central South University,Changsha 410083,China
2. School of Computer Science and Engineering,Central South University,Changsha 410083,China
3. Transsion Co.,Ltd.,Shanghai 200135,China
4. School of Electrical and Automation Engineering,Nanjing Normal Univeisity,Nanjing 210023,China
5. Department of Computer Science and Technology,Tsinghua University,Beijing 100084,China
折叠

摘要

关键词

data analysis and processing/video understanding/action counting

Key words

data analysis and processing/video understanding/action counting

引用本文复制引用

Yin Tang,Deyu Zhang,Wei Luo,Fan Wu,Feng Lyu,Ruixiang Hang,Lei Zhang,Yaoxue Zhang..UniCount:Mining Large-Scale Video Data for Universal Repetitive Action Counting[J].大数据挖掘与分析（英文版）,2025,8(5):1112-1126,15.

基金项目

This work was supported by the National Key Research and Development Program of China(No.2022YFF0604504),the National Natural Science Foundation of China(No.62172439),the Major Project of Natural Science Foundation of Hunan Province(No.2021JC0004),the National Natural Science Fund for Excellent Young Scholars of Hunan Province(No.2023JJ20076),and the Central South University Innovation-Driven Research Programme(No.2023CXQD061). （No.2022YFF0604504）

大数据挖掘与分析（英文版）

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