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Person Re-identification

2013
International ...
Bak, Slawomir, Bremond, François
openaire   +2 more sources

Hierarchical Gaussian Descriptor for Person Re-identification

Computer Vision and Pattern Recognition, 2016
Describing the color and textural information of a person image is one of the most crucial aspects of person re-identification. In this paper, we present a novel descriptor based on a hierarchical distribution of pixel features. A hierarchical covariance
Tetsu Matsukawa   +3 more
semanticscholar   +1 more source

Taichi distance for person re-identification

2017 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2017
Metric learning is an important issue in person re-identification, and Mahalanobis-distance based metric learning methods prevail in this field. All of these approaches can be considered as equivalently projecting all samples to a new metric space and calculating the Euclidean distance there.
Wang, Zheng   +4 more
openaire   +2 more sources

MARS: A Video Benchmark for Large-Scale Person Re-Identification

European Conference on Computer Vision, 2016
Liang Zheng   +6 more
semanticscholar   +1 more source

Learning Person Re-Identification Models From Videos With Weak Supervision

IEEE Transactions on Image Processing, 2021
Dripta S Raychaudhuri   +2 more
exaly  

GiT: Graph Interactive Transformer for Vehicle Re-Identification

IEEE Transactions on Image Processing, 2023
Fei Shen, Jianqing Zhu, Xiaobin Zhu
exaly  

Retrieval tool for person re-identification

2014
International ...
Bak, Slawomir   +6 more
openaire   +2 more sources

Deep Learning for Person Re-Identification: A Survey and Outlook

IEEE Transactions on Pattern Analysis and Machine Intelligence, 2022
Mang Ye, Jianbing Shen, Jianbing Shen
exaly  

Person re-identification accuracy improvement by training a CNN with the new large joint dataset and re-rank

Machine Graphics and Vision, 2022
S Ihnatsyeva   +2 more
exaly  

End-to-End Comparative Attention Networks for Person Re-Identification

IEEE Transactions on Image Processing, 2017
Hao Liu, Jiashi Feng
exaly  

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