Technology of Graphic & Image
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App. Res. of Comp. Printed Article
Vol. 40, 2023 No. 4
1226-1232

Cross-modality person re-identification using local supervision

Jiang Kaiwei1
Wang Jin1,2
Zhang Linyu1
Lu Xin2
Liu Guoqing3
1. School of Information Science & Technology, Nantong University, Nantong Jiangsu 226000, China
2. School of Computer & Information Engineering, Nantong Institute of Technology, Nantong Jiangsu 226000, China
3. Zhongtian Smart Equipment Co. , Ltd. , Nantong Jiangsu 226010, China
DOI: 10.19734/j.issn.1001-3695.2022.07.0390

Abstract

Cross-modality person re-identification technique aims to identify specific pedestrians from pedestrian images captured by cameras with different modalities in non-overlapping fields of view. There are huge cross-modality differences between pedestrian images as well as intra-modality differences, resulting in poor recognition rates. In order to solve this problem, this paper proposed a cross-modality person re-identification method using local supervision(LSN). Firstly, it converted the visible images into grayscale images that were closer to the infrared images to mitigate the cross-modality differences at the image level, and extracted discriminative shared features using a two-stream network with shared parameters to mitigate the cross-modality differences at the feature level. Secondly, it designed a local supervision network to enhance the robustness to background, occlusion and other noises and mitigate the intra-modality differences. Finally, it designed a cross-modality group loss in combination with the identity loss to constrain the network. The experimental results show that the evaluation metrics rank-1 and mAP reach 53.31% and 50.88% on the SYSU-MM01 dataset, and 73.51% and 68.55% on the RegDB dataset, respectively. The experimental results outperform similar methods, which verifies the effectiveness and advancement of the proposed method.

Foundation Support

国家自然科学基金资助项目(62002179)
2022年南通市科技计划资助项目(JC22022063)

Publish Information

DOI: 10.19734/j.issn.1001-3695.2022.07.0390
Publish at: Application Research of Computers Printed Article, Vol. 40, 2023 No. 4
Section: Technology of Graphic & Image
Pages: 1226-1232
Serial Number: 1001-3695(2023)04-043-1226-07

Publish History

[2022-10-19] Accepted Paper
[2023-04-05] Printed Article

Cite This Article

江锴威, 王进, 张琳钰, 等. 利用局部监督的跨模态行人重识别研究 [J]. 计算机应用研究, 2023, 40 (4): 1226-1232. (Jiang Kaiwei, Wang Jin, Zhang Linyu, et al. Cross-modality person re-identification using local supervision [J]. Application Research of Computers, 2023, 40 (4): 1226-1232. )

About the Journal

  • Application Research of Computers Monthly Journal
  • Journal ID ISSN 1001-3695
    CN  51-1196/TP

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.

Aiming at the urgently needed cutting-edge technology in this discipline, Application Research of Computers reflects the mainstream technology, hot technology and the latest development trend of computer application research at home and abroad in a timely manner. The main contents of the journal include high-level academic papers in this discipline, the latest scientific research results and major application results. The contents of the columns involve new theories of computer discipline, basic computer theory, algorithm theory research, algorithm design and analysis, blockchain technology, system software and software engineering technology, pattern recognition and artificial intelligence, architecture, advanced computing, parallel processing, database technology, computer network and communication technology, information security technology, computer image graphics and its latest hot application technology.

Application Research of Computers has many high-level readers and authors, and its readers are mainly senior and middle-level researchers and engineers engaged in the field of computer science, as well as teachers and students majoring in computer science and related majors in colleges and universities. Over the years, the total citation frequency and Web download rate of Application Research of Computers have been ranked among the top of similar academic journals in this discipline, and the academic papers published are highly popular among the readers for their novelty, academics, foresight, orientation and practicality.

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