Results 11 to 20 of about 1,298,251 (322)

Review of person re‐identification techniques

IET Computer Vision, 2014
Person re‐identification across different surveillance cameras with disjoint fields of view has become one of the most interesting and challenging subjects in the area of intelligent video surveillance.
Mohammad Ali Saghafi, Aini Hussain, Halimah Badioze Zaman, Mohamad Hanif Md. Saad   +3 more
doaj   +3 more sources

LiDAR-based Person Re-identification [PDF]

2024 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2023
Camera-based person re-identification (ReID) systems have been widely applied in the field of public security. However, cameras often lack the perception of 3D morphological information of human and are susceptible to various limitations, such as inadequate illumination, complex background, and personal privacy.
Wenxuan Guo, Zhiyu Pan, Yingping Liang, Ziheng Xi, Zhi Chen Zhong, Jianjiang Feng, Jie Zhou   +6 more
openalex   +3 more sources

Occluded Person Re-identification [PDF]

2018 IEEE International Conference on Multimedia and Expo (ICME), 2018
Person re-identification (re-id) suffers from a serious occlusion problem when applied to crowded public places. In this paper, we propose to retrieve a full-body person image by using a person image with occlusions.
Chen, Zeyu, Lai, Jianhuang, Wang, Guangcong, Zhuo, Jiaxuan   +3 more
core   +2 more sources

Exploiting prunability for person re-identification [PDF]

EURASIP Journal on Image and Video Processing, 2021
Recent years have witnessed a substantial increase in the deep learning (DL) architectures proposed for visual recognition tasks like person re-identification, where individuals must be recognized over multiple distributed cameras.
Hugo Masson, Amran Bhuiyan, Le Thanh Nguyen-Meidine, Mehrsan Javan, Parthipan Siva, Ismail Ben Ayed, Eric Granger   +6 more
doaj   +4 more sources

Robust Depth-based Person Re-identification [PDF]

IEEE Transactions on Image Processing, 2017
Person re-identification (re-id) aims to match people across non-overlapping camera views. So far the RGB-based appearance is widely used in most existing works. However, when people appeared in extreme illumination or changed clothes, the RGB appearance-
Lai, Jianhuang, Wu, Ancong, Zheng, Wei-Shi   +2 more
core   +3 more sources

Learning Correspondence Structures for Person Re-identification [PDF]

IEEE Transactions on Image Processing, 2017
This paper addresses the problem of handling spatial misalignments due to camera-view changes or human-pose variations in person re-identification. We first introduce a boosting-based approach to learn a correspondence structure which indicates the patch-
Lin, Weiyao, Lu, Ke, Shen, Yang, Wang, Jingdong, Wu, Jianxin, Xu, Mingliang, Yan, Junchi   +6 more
core   +3 more sources

Dynamic Weighting Network for Person Re-Identification [PDF]

Sensors, 2023
Recently, hybrid Convolution-Transformer architectures have become popular due to their ability to capture both local and global image features and the advantage of lower computational cost over pure Transformer models.
Guang Li, Peng Liu, Xiaofan Cao, Chunguang Liu   +3 more
doaj   +2 more sources

Person Re-identification [PDF]

, 2021
Abstract— Person re-identification could be essential operation for any multi-camera observation situation. Until presently, it has been performed by misusing fundamentally appearance prompts, hypothesizing that the people cannot alter their clothes.
Md. Mojibur Rahman, Md. Ariful Islam
  +4 more sources

Multi-Aligned and Multi-Scale Augmentation for Occluded Person Re-Identification. [PDF]

Sensors (Basel)
Jiang X, Yuan X, Yang X.
europepmc   +3 more sources

Correction: Contrastive learning enhanced pseudo-labeling for unsupervised domain adaptation in person re-identification. [PDF]

PLoS One
Bai X, Zhang Y, Zhang C, Wang Z.
europepmc   +3 more sources