Fully Unsupervised Learning of Camera Link Models for Tracking Humans Across Nonoverlapping Cameras-Reference-Cited by-同舟云学术

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Fully Unsupervised Learning of Camera Link Models for Tracking Humans Across Nonoverlapping Cameras

Published:2014-06 Issue:6 Volume:24 Page:979-994
ISSN:1051-8215
Container-title:IEEE Transactions on Circuits and Systems for Video Technology
language:
Short-container-title:IEEE Trans. Circuits Syst. Video Technol.

Author:

Chu Chun-Te,Hwang Jenq-Neng

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Electrical and Electronic Engineering,Media Technology

Link

http://xplorestaging.ieee.org/ielx7/76/6824288/06727542.pdf?arnumber=6727542

Cited by 12 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. A comprehensive survey on machine learning techniques to mobilize multi-camera network for smart surveillance;Innovations in Systems and Software Engineering;2023-10-24

2. Activity Graph Based Convolutional Neural Network for Human Activity Recognition Using Acceleration and Gyroscope Data;IEEE Transactions on Industrial Informatics;2022-10

3. Exploiting Global Camera Network Constraints for Unsupervised Video Person Re-Identification;IEEE Transactions on Circuits and Systems for Video Technology;2021-10

4. Person Re-identification with Limited Supervision;Synthesis Lectures on Computer Vision;2021-09-30

5. Online-Learning-Based Human Tracking Across Non-Overlapping Cameras;IEEE Transactions on Circuits and Systems for Video Technology;2018-10

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