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Occluded Person Re-Identification [PDF]

2018 IEEE International Conference on Multimedia and Expo (ICME), 2018
6 pages, 7 figures, IEEE International Conference of Multimedia and Expo ...
Zhuo, Jiaxuan, Chen, Zeyu, Lai, Jianhuang, Wang, Guangcong   +3 more
openaire   +3 more sources

Robust Depth-Based Person Re-Identification [PDF]

IEEE Transactions on Image Processing, 2017
IEEE Transactions on Image Processing Early ...
Ancong Wu, Wei-Shi Zheng, Jian-Huang Lai
openaire   +4 more sources

Adaptive Pseudo Text Augmentation for Noise-Robust Text-to-Image Person Re-Identification [PDF]

Sensors
Text-to-image person re-identification (T2I-ReID) aims to retrieve pedestrians from images/videos based on textual descriptions. However, most methods implicitly assume that training image–text pairs are correctly aligned, while in practice, issues such ...
Lian Xiong, Wangdong Li, Huaixin Chen, Yuxi Feng   +3 more
doaj   +2 more sources

Bike-Person Re-Identification: A Benchmark and a Comprehensive Evaluation

IEEE Access, 2018
Existing person re-identification (re-id) datasets only consist of pedestrian images, which are far more behind what the real surveillance system holds.
Yuan Yuan, Jian'an Zhang, Qi Wang
doaj   +2 more sources

Dynamic Multi-Behaviour, Orientation-Invariant Re-Identification of Holstein-Friesian Cattle [PDF]

Sensors
To perform reliable animal re-identification, most available algorithms require standardised animal poses. However, this lack of versatility prevents widespread application of these algorithms in behavioural research and commercial environments.
Maarten Perneel, Ines Adriaens, Jan Verwaeren, Ben Aernouts   +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

Person Re-Identification with Attribute-Guided, Robust-to-Low-Resolution Drone Footage Considering Fog/Edge Computing [PDF]

Sensors
In aerial surveillance using drones, person re-identification (ReID) is crucial for public safety. However, low resolutions in drone footage often leads to a significant drop in ReID performance of subjects. To investigate this issue, rather than relying
Bongjun Kim, Sunkyu Kim, Seokwon Park, Junho Jeong   +3 more
doaj   +2 more sources

Integration of Tracking, Re-Identification, and Gesture Recognition for Facilitating Human–Robot Interaction [PDF]

Sensors
For successful human–robot collaboration, it is crucial to establish and sustain quality interaction between humans and robots, making it essential to facilitate human–robot interaction (HRI) effectively.
Sukhan Lee, Soojin Lee, Hyunwoo Park
doaj   +2 more sources

Multi‐granularity re‐ranking for visible‐infrared person re‐identification

CAAI Transactions on Intelligence Technology, 2023
Visible‐infrared person re‐identification (VI‐ReID) is a supplementary task of single‐modality re‐identification, which makes up for the defect of conventional re‐identification under insufficient illumination. It is more challenging than single‐modality
Yadi Wang, Hongyun Zhang, Duoqian Miao, Witold Pedrycz   +3 more
doaj   +1 more source

Applying Ternion Stream DCNN for Real-Time Vehicle Re-Identification and Tracking across Multiple Non-Overlapping Cameras

Sensors, 2022
The increase in security threats and a huge demand for smart transportation applications for vehicle identification and tracking with multiple non-overlapping cameras have gained a lot of attention.
Lesole Kalake, Wanggen Wan, Yanqiu Dong
doaj   +1 more source