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Home / Proceedings / Proceedings of the AAAI Conference on Artificial Intelligence, 32

Discriminative Semi-Coupled Projective Dictionary Learning for Low-Resolution Person Re-Identification

March 15, 2023

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Published Date: 2018-02-08

Registration: ISSN 2374-3468 (Online) ISSN 2159-5399 (Print)

Copyright: Published by AAAI Press, Palo Alto, California USA Copyright © 2018, Association for the Advancement of Artificial Intelligence All Rights Reserved.

Authors

Kai Li

Northeastern University


Zhengming Ding

Northeastern University


Sheng Li

Adobe Research, USA


Yun Fu

Northeastern University


DOI:

10.1609/aaai.v32i1.11908


Abstract:

Person re-identification (re-ID) is a fundamental task in automated video surveillance. In real-world visual surveillance systems, a person is often captured in quite low resolutions. So we often need to perform low-resolution person re-ID, where images captured by different cameras have great resolution divergences. Existing methods cope problem via some complicated and time-consuming strategies, making them less favorable in practice, and their performances are far from satisfactory. In this paper, we design a novel Discriminative Semi-coupled Projective Dictionary Learning (DSPDL) model to effectively and efficiently solve this problem. Specifically, we propose to jointly learn a pair of dictionaries and a mapping to bridge the gap across low(er) and high(er) resolution person images. Besides, we develop a novel graph regularizer to incorporate positive and negative image pair information in a parameterless fashion. Meanwhile, we adopt the efficient and powerful projective dictionary learning technique to boost the our efficiency. Experiments on three public datasets show the superiority of the proposed method to the state-of-the-art ones.

Topics: AAAI

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HOW TO CITE:

Kai Li||Zhengming Ding||Sheng Li||Yun Fu Discriminative Semi-Coupled Projective Dictionary Learning for Low-Resolution Person Re-Identification Proceedings of the AAAI Conference on Artificial Intelligence, 32 (2018) .

Kai Li||Zhengming Ding||Sheng Li||Yun Fu Discriminative Semi-Coupled Projective Dictionary Learning for Low-Resolution Person Re-Identification AAAI 2018, .

Kai Li||Zhengming Ding||Sheng Li||Yun Fu (2018). Discriminative Semi-Coupled Projective Dictionary Learning for Low-Resolution Person Re-Identification. Proceedings of the AAAI Conference on Artificial Intelligence, 32, .

Kai Li||Zhengming Ding||Sheng Li||Yun Fu. Discriminative Semi-Coupled Projective Dictionary Learning for Low-Resolution Person Re-Identification. Proceedings of the AAAI Conference on Artificial Intelligence, 32 2018 p..

Kai Li||Zhengming Ding||Sheng Li||Yun Fu. 2018. Discriminative Semi-Coupled Projective Dictionary Learning for Low-Resolution Person Re-Identification. "Proceedings of the AAAI Conference on Artificial Intelligence, 32". .

Kai Li||Zhengming Ding||Sheng Li||Yun Fu. (2018) "Discriminative Semi-Coupled Projective Dictionary Learning for Low-Resolution Person Re-Identification", Proceedings of the AAAI Conference on Artificial Intelligence, 32, p.

Kai Li||Zhengming Ding||Sheng Li||Yun Fu, "Discriminative Semi-Coupled Projective Dictionary Learning for Low-Resolution Person Re-Identification", AAAI, p., 2018.

Kai Li||Zhengming Ding||Sheng Li||Yun Fu. "Discriminative Semi-Coupled Projective Dictionary Learning for Low-Resolution Person Re-Identification". Proceedings of the AAAI Conference on Artificial Intelligence, 32, 2018, p..

Kai Li||Zhengming Ding||Sheng Li||Yun Fu. "Discriminative Semi-Coupled Projective Dictionary Learning for Low-Resolution Person Re-Identification". Proceedings of the AAAI Conference on Artificial Intelligence, 32, (2018): .

Kai Li||Zhengming Ding||Sheng Li||Yun Fu. Discriminative Semi-Coupled Projective Dictionary Learning for Low-Resolution Person Re-Identification. AAAI[Internet]. 2018[cited 2023]; .


ISSN: 2374-3468


Published by AAAI Press, Palo Alto, California USA
Copyright 2022, Association for the Advancement of
Artificial Intelligence 1900 Embarcadero Road, Suite
101, Palo Alto, California 94303 All Rights Reserved

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