research-article

VP-ReID: Vehicle and Person Re-Identification System

Authors:

Shiliang ZhangAuthors Info & Claims

ICMR '18: Proceedings of the 2018 ACM on International Conference on Multimedia Retrieval

Pages 501 - 504

https://doi.org/10.1145/3206025.3206086

Published: 05 June 2018 Publication History

Abstract

With the capability of locating and tracking specific suspects or vehicles in a large camera network, person Re-Identification (ReID) and vehicle ReID show potential to be a key technology in smart surveillance system. They have been drawing lots of attentions from both academia and industry. To demonstrate our recent research progresses on those two tasks, we develop a robust and efficient person and video ReID system named as VP-ReID. This system is build based on our recent works including Deep Convolutional Neural Network design for discriminative feature extraction, efficient off-line indexing, as well as distance metric optimization for deep feature learning. Constructed upon those algorithms, VP-ReID identifies query vehicle and person efficiently and accurately from a large gallery set.

References

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Jianing Li, Shiliang Zhang, Jingdong Wang, Wen Gao, and Qi Tian. 2017. LVreID: Person Re-Identification with Long Sequence Videos. arXiv preprint arXiv:1712.07286 (2017).

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Hongye Liu, Yonghong Tian, Yaowei Yang, Lu Pang, and Tiejun Huang. 2016. Deep relative distance learning: Tell the difference between similar vehicles CVPR.

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Xiaobin Liu, Shiliang Zhang, Qingming Huang, and Wen Gao. 2018. RAM: A Region-Aware Deep Model for Vehicle Re-Identification ICME.

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Digital Library

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Cited By

Zheng ZWang YQian XZhong ZWang ZZheng LGurrin CKongkachandra RSchoeffmann KDang-Nguyen DRossetto LSatoh SZhou L(2024)MORE'24 Multimedia Object Re-ID: Advancements, Challenges, and OpportunitiesProceedings of the 2024 International Conference on Multimedia Retrieval10.1145/3652583.3658892(1336-1338)Online publication date: 30-May-2024
https://dl.acm.org/doi/10.1145/3652583.3658892
Wang SYang DSheng HShen JZhang YKe W(2024)A Blockchain-Enabled Distributed System for Trustworthy and Collaborative Intelligent Vehicle Re-IdentificationIEEE Transactions on Intelligent Vehicles10.1109/TIV.2023.33472679:2(3271-3282)Online publication date: Feb-2024
https://doi.org/10.1109/TIV.2023.3347267
Zhang LSong RWang YZhang QZhang W(2024)Dual-Graph Contrastive Learning for Unsupervised Person ReidentificationIEEE Transactions on Cognitive and Developmental Systems10.1109/TCDS.2023.334876616:4(1352-1363)Online publication date: Aug-2024
https://doi.org/10.1109/TCDS.2023.3348766
Show More Cited By

Index Terms

VP-ReID: Vehicle and Person Re-Identification System
1. Computing methodologies
  1. Artificial intelligence
    1. Computer vision
      1. Computer vision representations
        Appearance and texture representations
        Image representations
      2. Computer vision tasks
        Visual content-based indexing and retrieval

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Published In

cover image ACM Conferences

ICMR '18: Proceedings of the 2018 ACM on International Conference on Multimedia Retrieval

June 2018

550 pages

ISBN:9781450350464

DOI:10.1145/3206025

Conference Chairs:
Kiyoharu Aizawa
The Univ. of Tokyo, Japan
,
Michael Lew
Leiden Univ., Netherlands
,
Shin'ichi Satoh
National Inst. of Informatics, Japan

Copyright © 2018 ACM.

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SIGMM: ACM Special Interest Group on Multimedia

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Association for Computing Machinery

New York, NY, United States

Publication History

Published: 05 June 2018

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Funding Sources

National Science Foundation of China

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ICMR '18

Sponsor:

SIGMM

ICMR '18: International Conference on Multimedia Retrieval

June 11 - 14, 2018

Yokohama, Japan

Acceptance Rates

ICMR '18 Paper Acceptance Rate 44 of 136 submissions, 32%;

Overall Acceptance Rate 254 of 830 submissions, 31%

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Cited By

Zheng ZWang YQian XZhong ZWang ZZheng LGurrin CKongkachandra RSchoeffmann KDang-Nguyen DRossetto LSatoh SZhou L(2024)MORE'24 Multimedia Object Re-ID: Advancements, Challenges, and OpportunitiesProceedings of the 2024 International Conference on Multimedia Retrieval10.1145/3652583.3658892(1336-1338)Online publication date: 30-May-2024
https://dl.acm.org/doi/10.1145/3652583.3658892
Wang SYang DSheng HShen JZhang YKe W(2024)A Blockchain-Enabled Distributed System for Trustworthy and Collaborative Intelligent Vehicle Re-IdentificationIEEE Transactions on Intelligent Vehicles10.1109/TIV.2023.33472679:2(3271-3282)Online publication date: Feb-2024
https://doi.org/10.1109/TIV.2023.3347267
Zhang LSong RWang YZhang QZhang W(2024)Dual-Graph Contrastive Learning for Unsupervised Person ReidentificationIEEE Transactions on Cognitive and Developmental Systems10.1109/TCDS.2023.334876616:4(1352-1363)Online publication date: Aug-2024
https://doi.org/10.1109/TCDS.2023.3348766
Jahan MHassan MHossin SHossain MHasan M(2024)Unsupervised person Re-identification: A review of recent worksNeurocomputing10.1016/j.neucom.2023.127193572(127193)Online publication date: Mar-2024
https://doi.org/10.1016/j.neucom.2023.127193
Klüttermann SRutinowski JNguyen AReining CRoidl MMüller E(2023)On Graph Representation based Re-Identification – A Proof of Concept2023 IEEE International Conference on Data Mining Workshops (ICDMW)10.1109/ICDMW60847.2023.00144(1097-1104)Online publication date: 4-Dec-2023
https://doi.org/10.1109/ICDMW60847.2023.00144
Yang LLiu HLiu LZhou JZhang LWang PZhang YOria VSapino MSatoh SKerhervé BCheng WIde ISingh V(2022)Pluggable Weakly-Supervised Cross-View Learning for Accurate Vehicle Re-IdentificationProceedings of the 2022 International Conference on Multimedia Retrieval10.1145/3512527.3531357(81-89)Online publication date: 27-Jun-2022
https://dl.acm.org/doi/10.1145/3512527.3531357
Lin JZheng ZZhong ZLuo ZLi SYang YSebe N(2022)Joint Representation Learning and Keypoint Detection for Cross-View Geo-LocalizationIEEE Transactions on Image Processing10.1109/TIP.2022.317560131(3780-3792)Online publication date: 2022
https://doi.org/10.1109/TIP.2022.3175601
Klüttermann SRutinowski JReining CRoidl MMüller E(2022)Towards Graph Representation based Re-Identification of Chipwood Pallet Blocks2022 21st IEEE International Conference on Machine Learning and Applications (ICMLA)10.1109/ICMLA55696.2022.00279(1543-1550)Online publication date: Dec-2022
https://doi.org/10.1109/ICMLA55696.2022.00279
Fard AMahoor M(2022)Ad-Corre: Adaptive Correlation-Based Loss for Facial Expression Recognition in the WildIEEE Access10.1109/ACCESS.2022.315659810(26756-26768)Online publication date: 2022
https://doi.org/10.1109/ACCESS.2022.3156598
Liu XZhang S(2022)Who is closerPattern Recognition10.1016/j.patcog.2021.108293122:COnline publication date: 1-Feb-2022
https://dl.acm.org/doi/10.1016/j.patcog.2021.108293
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