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期刊
- 作者: Hong Shi, Yiming Wu, Yong Xu, Xiaofang Mu, Mingxing Hou, Bowen Shi, Lingxiao Zhang ( Affiliations 1 School of Computer Science and Technology, Taiyuan Normal University, Jinzhong, 030619, China. 2 Liaocheng Vocational College of Science and Technology, Linqing, 252600, China. 3 Shanxi Institute of Energy, Jinzhong, 030600, China. mu_xiao_fang@163.com. 4 School of Software, Shanxi Agricultural University, Jinzhong, 030801, China. 5 School of Automation and Software Engineering, Shanxi University, Taiyuan, 030031, China. )
- 出处: 3351 2026
- 关键词: DFA Inner-Shape-IoU Small object detection Transformer YOLOv8.
- 摘要: To address the problem of insufficient detection accuracy in drone aerial and remote sensing images due to factors such as small target size, backgrou
- 作者: 穆晓芳,李毫,刘嘉骥,刘振宇,李越 ( 太原师范学院计算机科学与技术学院;山西能源学院;天津工业大学电子信息工程学院 )
- 出处: 917 2025 第1期
- 关键词: 多目标跟踪 YOLO 计算机视觉 深度学习
- 摘要: 【目的】针对监控视频跨域环境下的多目标跟踪画面中,频繁遮挡、轨迹开始终止时刻未知、目标太小、目标间交互、表观相似以及摄像头视角变化等问题,提出一种改进的多目标跟踪算法。【方法】 该算法最大化利用低分检测对象,将未匹配的低分对象进行二次匹配,目标跨域后,依据摄像头拓扑排序规则,以及相邻摄像头的未匹配跟
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点击量:3
期刊
- 作者: Yanlong Wei, Gang Yang, Gao Wang, Haijian Liang, Hui Qi, Xiaofang Mu, Zhen Tian, Fujiang Yuan, Qianxiang Zhang ( Affiliations 1 School of Computer Science and Technology, Taiyuan Normal University, Taiyuan 030619, China. 2 School of Information and Communication, North University of China, Taiyuan 030051, China. 3 State Key Laboratory of Dynamic Measurement Technology and School of Software, North University of China, Taiyuan 030051, China. 4 James Watt School of Engineering, University of Glasgow, Glasgow G12 8QQ, UK. )
- 出处: 3390 2025 Vol.16 No.11 P1274
- 关键词: differential principle high-temperature sensing magnetostriction sapphire waveguide.
- 摘要: In extremely harsh high-temperature environments in aerospace, industrial manufacturing and other fields, traditional ultrasonic temperature measureme
- 作者: 杨丹宁,闫喜红,穆晓芳,张耀文 ( 太原师范学院数学与统计学院山西省智能优化计算与区块链技术重点实验室 )
- 出处: 224 2025 第24卷 第2期 P12-17
- 关键词: 原始对偶算法 低秩矩阵填充 加速
- 摘要: 原始对偶算法是求解矩阵填充问题的有效算法之一.在原始对偶算法的基础上,结合惯性加速策略,设计一种加速原始对偶算法,并分析新算法的一些性质.针对随机矩阵填充问题,数值实验结果表明,新算法在迭代次数、CPU时间和算法精度方面均优于原始对偶算法,验证新算法是有效的.
- 发明人: 穆晓芳,吴一鸣,石泓,侯明星 ( 太原师范学院 )
- 申请人: 太原师范学院
- 申请号: 202511675638.X
- 申请日期: 2025.11.16
- 摘要: 本发明涉及计算机视觉技术领域,具体是一种基于Transformer和CNN多维特征融合的轻量级小目标检测方法,该方法是采用如下步骤实现的:步骤一:数据集构建;步骤二:数据集标注及划分;步骤三:数据预处理;步骤四:MCD‑YOLO模型构建:基于C2f‑MCC层和DFA注意力机制,对传统YOLOv8n模
- 作者: Mu,Xiaofang,Li,Hao,Liu,Jiaji,Liu,Zhenyu,Li,Yue ( 1College of Computer Science and Technology, Taiyuan Normal University, Shanxi, Jinzhong, China;2Shanxi Institute of Energy, Shanxi, Jinzhong, China;3School of Electronics and Information Engineering, Tiangong University, Tianjin, China; )
- 出处: 4374 2025 Vol.56 No.1 P165-173
- 关键词: computer vision deep learning multi-target tracking YOLO
- 摘要: 【Purposes】Multi-target tracking in the cross-domain environment of surveillance video is a very important and challenging task in intelligent security
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点击量:1
期刊
- 作者: Yiming Wu, Xiaofang Mu, Hong Shi, Mingxing Hou ( Affiliations 1 School of Computer Science and Technology, Taiyuan Normal University, Taiyuan, 030000, China. 2 Shanxi Institute of Energy, Taiyuan, 030000, China. mu_xiao_fang@163.com. 3 School of Integrated Circuits, Taiyuan University of Technology, Taiyuan, 030000, China. )
- 出处: 3351 2025 Vol.15 No.1 P16214
- 关键词: AKConv Feature fusion mechanism Small object detection Wise-IoU YOLOv8.
- 摘要: In small object detection scenarios such as UAV aerial imagery and remote sensing, the difficulties in feature extraction are primarily due to challen
- 作者: Mingxing Hou, Yiming Wu, Hong Shi, Xiaofang Mu ( Affiliations 1 School of Computer Science and Technology, Taiyuan Normal University, Taiyuan, 030000, China. 2 Shanxi Institute of Energy, Taiyuan, 030000, China. mu_xiao_fang@163.com. )
- 出处: 3351 2025 Vol.15 No.1 P31414
- 关键词: Attention mechanism Multi-object tracking Re-identification Two-stage association You Only Look Once Version 8.
- 摘要: In the field of engineering safety, multi-object tracking encounters difficulties in effectively conducting object detection due to occlusion, as well
- 作者: MU Xiaofang,LI Hao,LIU Jiaji,LIU Zhenyu,LI Yue ( 1College of Computer Science and Technology, Taiyuan Normal University, Jinzhong, Shanxi, China;2School of Electronics and Information Engineering, Tiangong University, Tianjin, China )
- 出处: 4309 2025 Vol.56 No.1 P165-173
- 关键词: multi-target tracking yolo computer vision deep learning
- 摘要: [Purposes] Multi-target tracking in the cross-domain environment of surveillance video is a very important and challenging task in intelligent securit
- 作者: Zhenghan Zhou,Kebin Liu,Yantong Xie,Hangxu Jin,Shi Liu,Ruiqing Wang,Haitian Zhao,Borong Lin,Xiaofang Mu,Hui Qi ( Global Innovation Exchange, Tsinghua University Global Innovation Exchange, Tsinghua University","Fuzhou Fuyao Institute for Advanced Study School of Architecture, Carnegie Mellon University School of Architecture, Tsinghua University College of Computer Science and Technology, Taiyuan Normal University","Shanxi Key Laboratory of Intelligent Optimization Computing and Blockchain Technology )
- 出处: 4269 2024
- 关键词: Wireless communication Wireless sensor networks Three-dimensional displays Buildings Psychology Data visualization Cognitive load Real-time systems Space heating Meteorology Climate change Global warming Environmental factors Immersive learning
- 摘要: Amidst global warming and escalating extreme weather events, indoor environmental quality’s impact on human health and public hygiene gains prominence