A novel person re-identification network to address low-resolution problem in smart city context
We argue that accurate person re-identification is a vital problem for urban public monitoring systems in the smart city context. Since images captured from different cameras have arbitrary resolutions resulting in resolution mismatch, this work proposes a model that takes arbitrary images and conve...
Main Authors: | Irfan Yaqoob, Muhammad Umair Hassan, Dongmei Niu, Xiuyang Zhao, Ibrahim A. Hameed, Saeed-Ul Hassan |
---|---|
Format: | Article |
Language: | English |
Published: |
Elsevier
2023-10-01
|
Series: | ICT Express |
Subjects: | |
Online Access: | http://www.sciencedirect.com/science/article/pii/S2405959522001072 |
Similar Items
-
V<sup>2</sup>ReID: Vision-Outlooker-Based Vehicle Re-Identification
by: Yan Qian, et al.
Published: (2022-11-01) -
Multi-Scale Image- and Feature-Level Alignment for Cross-Resolution Person Re-Identification
by: Guoqing Zhang, et al.
Published: (2024-01-01) -
Collecting, Processing and Secondary Using Personal and (Pseudo)Anonymized Data in Smart Cities
by: Silvio Sampaio, et al.
Published: (2023-03-01) -
A double transformer residual super-resolution network for cross-resolution person re-identification
by: Fuzhen Zhu, et al.
Published: (2023-12-01) -
A comprehensive review of pedestrian re-identification based on deep learning
by: Zhaojie Sun, et al.
Published: (2023-10-01)