Vehicle Re-Identification System for Road Side Unit Application

Xiu Zhi Chen; Chi Peng; Mu Chuan Li; Yen Lin Chen

doi:10.1117/12.2626089

Vehicle Re-Identification System for Road Side Unit Application

Xiu Zhi Chen
, Chi Peng
, Mu Chuan Li
, Yen Lin Chen

資訊工程系

研究成果: 書籍/報告/會議論文中的章節 › 會議投稿 › 同行評審

摘要

Vehicle re-identification is one of the complex smart traffic issues, due to the large intra-class variation and high inter-class similarity, it is hard to be solved through traditional hand-crafted features. In this paper, we proposed a vehicle re-identification system based on deep learning techniques, which is able to re-identified the vehicles through deep features under acceptable operation time on Nvidia Jetson TX2. We have collected multiple sequences captured from real-world road side units (RSU) for system evaluation experiments, and the results indicate that it is highly possible to be adopted for real world traffic applications.

原文	English
主出版物標題	International Workshop on Advanced Imaging Technology, IWAIT 2022
編輯	Masayuki Nakajima, Shogo Muramatsu, Jae-Gon Kim, Jing-Ming Guo, Qian Kemao
發行者	SPIE
ISBN（電子）	9781510653313
DOIs	https://doi.org/10.1117/12.2626089
出版狀態	Published - 2022
事件	2022 International Workshop on Advanced Imaging Technology, IWAIT 2022 - Hong Kong, China 持續時間: 4 1月 2022 → 6 1月 2022

出版系列

名字	Proceedings of SPIE - The International Society for Optical Engineering
卷	12177
ISSN（列印）	0277-786X
ISSN（電子）	1996-756X

Conference

Conference	2022 International Workshop on Advanced Imaging Technology, IWAIT 2022
國家/地區	China
城市	Hong Kong
期間	4/01/22 → 6/01/22

文獻附註

Publisher Copyright:
© 2022 SPIE.

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10.1117/12.2626089

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Link to publication in Scopus

引用此

Chen, X. Z., Peng, C., Li, M. C., & Chen, Y. L. (2022). Vehicle Re-Identification System for Road Side Unit Application. 於 M. Nakajima, S. Muramatsu, J.-G. Kim, J.-M. Guo, & Q. Kemao (編輯), International Workshop on Advanced Imaging Technology, IWAIT 2022 文章 121770V (Proceedings of SPIE - The International Society for Optical Engineering; 卷 12177). SPIE. https://doi.org/10.1117/12.2626089

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title = "Vehicle Re-Identification System for Road Side Unit Application",

abstract = "Vehicle re-identification is one of the complex smart traffic issues, due to the large intra-class variation and high inter-class similarity, it is hard to be solved through traditional hand-crafted features. In this paper, we proposed a vehicle re-identification system based on deep learning techniques, which is able to re-identified the vehicles through deep features under acceptable operation time on Nvidia Jetson TX2. We have collected multiple sequences captured from real-world road side units (RSU) for system evaluation experiments, and the results indicate that it is highly possible to be adopted for real world traffic applications.",

keywords = "Re-Identification, deep learning, road side unit application",

author = "Chen, \{Xiu Zhi\} and Chi Peng and Li, \{Mu Chuan\} and Chen, \{Yen Lin\}",

note = "Publisher Copyright: {\textcopyright} 2022 SPIE.; 2022 International Workshop on Advanced Imaging Technology, IWAIT 2022 ; Conference date: 04-01-2022 Through 06-01-2022",

year = "2022",

doi = "10.1117/12.2626089",

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series = "Proceedings of SPIE - The International Society for Optical Engineering",

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booktitle = "International Workshop on Advanced Imaging Technology, IWAIT 2022",

}

Chen, XZ, Peng, C, Li, MC & Chen, YL 2022, Vehicle Re-Identification System for Road Side Unit Application. 於 M Nakajima, S Muramatsu, J-G Kim, J-M Guo & Q Kemao (編輯), International Workshop on Advanced Imaging Technology, IWAIT 2022., 121770V, Proceedings of SPIE - The International Society for Optical Engineering, 卷 12177, SPIE, 2022 International Workshop on Advanced Imaging Technology, IWAIT 2022, Hong Kong, China, 4/01/22. https://doi.org/10.1117/12.2626089

Vehicle Re-Identification System for Road Side Unit Application. / Chen, Xiu Zhi; Peng, Chi; Li, Mu Chuan 等.
International Workshop on Advanced Imaging Technology, IWAIT 2022. 編輯 / Masayuki Nakajima; Shogo Muramatsu; Jae-Gon Kim; Jing-Ming Guo; Qian Kemao. SPIE, 2022. 121770V (Proceedings of SPIE - The International Society for Optical Engineering; 卷 12177).

研究成果: 書籍/報告/會議論文中的章節 › 會議投稿 › 同行評審

TY - GEN

T1 - Vehicle Re-Identification System for Road Side Unit Application

AU - Chen, Xiu Zhi

AU - Peng, Chi

AU - Li, Mu Chuan

AU - Chen, Yen Lin

PY - 2022

Y1 - 2022

N2 - Vehicle re-identification is one of the complex smart traffic issues, due to the large intra-class variation and high inter-class similarity, it is hard to be solved through traditional hand-crafted features. In this paper, we proposed a vehicle re-identification system based on deep learning techniques, which is able to re-identified the vehicles through deep features under acceptable operation time on Nvidia Jetson TX2. We have collected multiple sequences captured from real-world road side units (RSU) for system evaluation experiments, and the results indicate that it is highly possible to be adopted for real world traffic applications.

AB - Vehicle re-identification is one of the complex smart traffic issues, due to the large intra-class variation and high inter-class similarity, it is hard to be solved through traditional hand-crafted features. In this paper, we proposed a vehicle re-identification system based on deep learning techniques, which is able to re-identified the vehicles through deep features under acceptable operation time on Nvidia Jetson TX2. We have collected multiple sequences captured from real-world road side units (RSU) for system evaluation experiments, and the results indicate that it is highly possible to be adopted for real world traffic applications.

KW - Re-Identification

KW - deep learning

KW - road side unit application

UR - https://www.scopus.com/pages/publications/85131815200

U2 - 10.1117/12.2626089

DO - 10.1117/12.2626089

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AN - SCOPUS:85131815200

T3 - Proceedings of SPIE - The International Society for Optical Engineering

BT - International Workshop on Advanced Imaging Technology, IWAIT 2022

A2 - Nakajima, Masayuki

A2 - Muramatsu, Shogo

A2 - Kim, Jae-Gon

A2 - Guo, Jing-Ming

A2 - Kemao, Qian

PB - SPIE

T2 - 2022 International Workshop on Advanced Imaging Technology, IWAIT 2022

Y2 - 4 January 2022 through 6 January 2022

ER -

Vehicle Re-Identification System for Road Side Unit Application

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