Enhanced skeleton and face 3D data for person re-identification from depth cameras-Reference-Cited by-同舟云学术

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Enhanced skeleton and face 3D data for person re-identification from depth cameras

Published:2019-04 Issue: Volume:79 Page:69-80
ISSN:0097-8493
Container-title:Computers & Graphics
language:en
Short-container-title:Computers & Graphics

Author:

Pala Pietro,Seidenari Lorenzo,Berretti Stefano,Del Bimbo Alberto

Publisher

Elsevier BV

Subject

Computer Graphics and Computer-Aided Design,Human-Computer Interaction,General Engineering

Reference34 articles.

1. A survey of approaches and trends in person re-identification;Bedagkar-Gala;Image Vis Comput,2014

2. Zheng L, Yang Y, Hauptmann A.G. Person re-identification: past, present and future. CoRR2016; arXiv:1610.02984.

3. Person re-identification from depth cameras using skeleton and 3D face data;Pala,2018

4. Intelligent multi-camera video surveillance: a review;Wang;Pattern Recognit Lett,2013

5. Person reidentification using spatiotemporal appearance;Gheissari,2006

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1. Skeleton Prototype Contrastive Learning with Multi-level Graph Relation Modeling for Unsupervised Person Re-Identification;Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering;2024

2. Transformer-based rapid human pose estimation network;Computers & Graphics;2023-11

3. Hierarchical Skeleton Meta-Prototype Contrastive Learning with Hard Skeleton Mining for Unsupervised Person Re-identification;International Journal of Computer Vision;2023-08-29

4. TranSG: Transformer-Based Skeleton Graph Prototype Contrastive Learning with Structure-Trajectory Prompted Reconstruction for Person Re-Identification;2023 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR);2023-06

5. A novel Multi-scale architecture driven by decoupled semantic attention transfer for person image generation;Computers & Graphics;2023-04

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