Deep learning-based few-shot person re-identification from top-view RGB and depth images

被引：1
|
作者：
Abed, Almustafa [1 ,3 ]
Akrout, Belhassen [2 ,3 ]
Amous, Ikram [1 ,3 ]
机构：
[1] Miracl Laboratory, Enet’com, University of Sfax, National School of Electronics and Telecommunications of Sfax, Road Tunis City El Ons, Sfax,3018, Tunisia
[2] Department of Computer Science, College of Computer Engineering and Sciences, Prince Sattam Bin Abdulaziz University, Al-Kharj,11942, Saudi Arabia
[3] Multimedia Information Systems and Advanced Computing Laboratory (MIRACL), Sfax University, Sfax,3021, Tunisia
来源：
Neural Computing and Applications | 2024年 / 36卷 / 31期
关键词：
Person re-identification (Re-ID); Intelligent retail stores; Convolutional neural networks; Top-view configuration;
D O I：
10.1007/s00521-024-10239-6
中图分类号：
学科分类号：
摘要：
90
引用
收藏
页码：19365 / 19382
页数：17
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