Deep-ReID: deep features and autoencoder assisted image patching strategy for person re-identification in smart cities surveillance
Author:
Publisher
Springer Science and Business Media LLC
Subject
Computer Networks and Communications,Hardware and Architecture,Media Technology,Software
Link
http://link.springer.com/content/pdf/10.1007/s11042-020-10145-8.pdf
Reference71 articles.
1. Ahmed E, M. Jones, and T.K. Marks (2015) An improved deep learning architecture for person re-identification. in Proceedings of the IEEE conference on computer vision and pattern recognition
2. Alghamdi A et al (2020) Detection of myocardial infarction based on novel deep transfer learning methods for urban healthcare in smart cities. Multimed Tools Appl:1–22
3. Alghamdi AS, Polat K, Alghoson A, Alshdadi AA, Abd el-Latif AA (2020) Gaussian process regression (GPR) based non-invasive continuous blood pressure prediction method from cuff oscillometric signals. Appl Acoust 164:107256
4. Almasawa MO, Elrefaei LA, Moria K (2019) A survey on deep Learning-based person re-identification systems. IEEE Access 7:175228–175247
5. Barbosa IB, Cristani M, Caputo B, Rognhaugen A, Theoharis T (2018) Looking beyond appearances: synthetic training data for deep cnns in re-identification. Comput Vis Image Underst 167:50–62
Cited by 32 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献
1. In-Depth Analysis of GAF-Net: Comparative Fusion Approaches in Video-Based Person Re-Identification;Algorithms;2024-08-11
2. A Dual-Correlation Feature Enhancement Network Model Based on Transformer for Occluded Pedestrian Re-identification;2024-07-18
3. Unsupervised person Re-identification: A review of recent works;Neurocomputing;2024-03
4. An intelligent correlation learning system for person Re-identification;Engineering Applications of Artificial Intelligence;2024-02
5. Multilinear subspace learning for Person Re-Identification based fusion of high order tensor features;Engineering Applications of Artificial Intelligence;2024-02
1.学者识别学者识别
2.学术分析学术分析
3.人才评估人才评估
"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370
www.globalauthorid.com
TOP
Copyright © 2019-2024 北京同舟云网络信息技术有限公司 京公网安备11010802033243号 京ICP备18003416号-3