Technology of Graphic & Image
|
App. Res. of Comp. Printed Article
Vol. 36, 2019 No. 8
2552-2555

Discriminative feature based late fusion for person re-identification

Liu Qi1,2
Hou Li2
Peng Zhangyou1
1. School of Communication & Information Engineering, Shanghai University, Shanghai 200444, China
2. School of Information Engineering, Huangshan University, Huangshan Anhui 245041, China
DOI: 10.19734/j.issn.1001-3695.2018.02.0186

Abstract

Pedestrian may vary greatly in appearance due to differences in illumination, viewpoint, and pose across cameras, which can bring serious challenges in person re-identification. This paper proposed discriminative feature based late fusion using multiple-feature fusion and distance metric learning for person re-identification. Firstly, it expressed human appearance across cameras through local maximal occurrence(LOMO) and salient color names-based color descriptor(SCNCD) extracted from human sample images across cameras. Secondly, it obtained each optimized feature distance of each pair of pedestrians through individual cross-view quadratic discriminant analysis(XQDA) distance metric learning model trained based on LOMO feature and SCNCD feature, respectively. Finally, it obtained the final distance of each pair of pedestrians across cameras through a distance fusion using min-max normalization, which it applied for human match across cameras. Experimental results show that the proposed algorithm effectively improves the accuracy of person re-identification on two challenging datasets(VIPeR, PRID 450S).

Foundation Support

国家自然科学基金资助项目(61704161)
安徽省教育厅自然科学研究项目(KJHS2016B03)
黄山学院横向科研项目(hxkt20170059)
黄山学院校地合作项目(2017XDHZ021)

Publish Information

DOI: 10.19734/j.issn.1001-3695.2018.02.0186
Publish at: Application Research of Computers Printed Article, Vol. 36, 2019 No. 8
Section: Technology of Graphic & Image
Pages: 2552-2555
Serial Number: 1001-3695(2019)08-066-2552-04

Publish History

[2019-08-05] Printed Article

Cite This Article

刘琦, 侯丽, 彭章友. 基于辨识特征后融合的行人再识别 [J]. 计算机应用研究, 2019, 36 (8): 2552-2555. (Liu Qi, Hou Li, Peng Zhangyou. Discriminative feature based late fusion for person re-identification [J]. Application Research of Computers, 2019, 36 (8): 2552-2555. )

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.

Indexed & Evaluation

  • The Second National Periodical Award 100 Key Journals
  • Double Effect Journal of China Journal Formation
  • the Core Journal of China (Peking University 2023 Edition)
  • the Core Journal for Science
  • Chinese Science Citation Database (CSCD) Source Journals
  • RCCSE Chinese Core Academic Journals
  • Journal of China Computer Federation
  • 2020-2022 The World Journal Clout Index (WJCI) Report of Scientific and Technological Periodicals
  • Full-text Source Journal of China Science and Technology Periodicals Database
  • Source Journal of China Academic Journals Comprehensive Evaluation Database
  • Source Journals of China Academic Journals (CD-ROM Version), China Journal Network
  • 2017-2019 China Outstanding Academic Journals with International Influence (Natural Science and Engineering Technology)
  • Source Journal of Top Academic Papers (F5000) Program of China's Excellent Science and Technology Journals
  • Source Journal of China Engineering Technology Electronic Information Network and Electronic Technology Literature Database
  • Source Journal of British Science Digest (INSPEC)
  • Japan Science and Technology Agency (JST) Source Journal
  • Russian Journal of Abstracts (AJ, VINITI) Source Journals
  • Full-text Journal of EBSCO, USA
  • Cambridge Scientific Abstracts (Natural Sciences) (CSA(NS)) core journals
  • Poland Copernicus Index (IC)
  • Ulrichsweb (USA)