System Development & Application
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App. Res. of Comp. Printed Article
Vol. 38, 2021 No. 11
3382-3386

Highway vehicle trajectory restoration based on improved object re-identification algorithm

Li Jia1
Zhou Huwei2
Zhou Zheng1
Zhang Keyi1
Mao He3
Li Yan1
1. Sichuan SRIG IT Industry Investment Co. , Ltd. , Chengdu 610041, China
2. Sichuan Guangrun Investment & Development Group Co. , Ltd. , Chengdu 610074, China
3. Chengdu Topplus Technology Co. , Ltd. , Chengdu 610000, China
DOI: 10.19734/j.issn.1001-3695.2021.04.0143

Abstract

In view of the difficult to recover vehicle trajectory in the expressway, this paper proposed an improved object ReID algorithm based on ETC gantry frame system to enhance vehicle trajectory recovery results. The key innovation of the proposed algorithm was combining license plate recognition and ReID in modified FairMOT network. In particular, it took the license plate, vehicle color, vehicle type, vehicle brand and ReID as the multi-output branch of the training network. The proposed network could quickly extract property and ReID information of numerous rapid objects in expressway compared to previous network. It also developed a labeling software and dataset to deal with multi-object labeling, multi-tab labeling and ReID labeling. Experimental result shows that the proposed algorithm obtains 97.32% accuracy of vehicle license plate recognition, 86.94% rank-1 of vehicle re-identification, and 85% accuracy of vehicle trajectory recovery which is 14.8% and 9.89% higher respectively than the previous methods which only use ReID or vehicle license plate recognition. In the actual expressway scene, this method can run at 27.5 fps with good vehicle trajectory recovery results. In addition, this work shows that intelligent algorithm has good application prospect in the field of expressway.

Publish Information

DOI: 10.19734/j.issn.1001-3695.2021.04.0143
Publish at: Application Research of Computers Printed Article, Vol. 38, 2021 No. 11
Section: System Development & Application
Pages: 3382-3386
Serial Number: 1001-3695(2021)11-031-3382-05

Publish History

[2021-11-05] Printed Article

Cite This Article

李嘉, 周湖伟, 周正, 等. 基于改进型目标重识别算法的高速公路车辆轨迹还原 [J]. 计算机应用研究, 2021, 38 (11): 3382-3386. (Li Jia, Zhou Huwei, Zhou Zheng, et al. Highway vehicle trajectory restoration based on improved object re-identification algorithm [J]. Application Research of Computers, 2021, 38 (11): 3382-3386. )

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  • Application Research of Computers Monthly Journal
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Application Research of Computers, founded in 1984, is an academic journal of computing technology sponsored by Sichuan Institute of Computer Sciences under the Science and Technology Department of Sichuan Province.

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