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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 +3 more
core +3 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 +6 more
doaj +5 more sources
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 +3 more
doaj +2 more sources
Integration of Multi-Head Self-Attention and Convolution for Person Re-Identification [PDF]
Sensors, 2022 Person re-identification is essential to intelligent video analytics, whose results affect downstream tasks such as behavior and event analysis. However, most existing models only consider the accuracy, rather than the computational complexity, which is ...
Yalei Zhou +4 more
doaj +2 more sources
Unifying Person and Vehicle Re-Identification [PDF]
IEEE Access, 2020 Person and vehicle re-identification (re-ID) are important challenges for the analysis of the burgeoning collection of urban surveillance videos. To efficiently evaluate such videos, which are populated with both vehicles and pedestrians, it would be ...
Daniel Organisciak +4 more
doaj +3 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 +2 more
core +5 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 +3 more
doaj +2 more sources
Night Person Re-Identification and a Benchmark [PDF]
IEEE Access, 2019 Person re-identification is an important problem in computer vision fields due to its widely application. However, most of existing person re-identification methods are evaluated in daytime scenarios which is still far from real applications.
Jian'an Zhang, Yuan Yuan, Qi Wang
doaj +3 more sources
Self-Erasing Network for Person Re-Identification. [PDF]
Sensors (Basel), 2021 Person re-identification (ReID) plays an important role in intelligent surveillance and receives widespread attention from academics and the industry. Due to extreme changes in viewing angles, some discriminative local regions are suppressed. In addition, the data with similar backgrounds collected by a fixed viewing angle camera will also affect the ...
Fan X, Lin Y, Zhang C, Zhang J.
europepmc +6 more sources
Identity Adaptation for Person Re-Identification
IEEE Access, 2018 Person re-identification (re-ID), which aims to identify the same individual from a gallery collected with different cameras, has attracted increasing attention in the multimedia retrieval community.
Qiuhong Ke +5 more
doaj +4 more sources