Person Re-identification for Estimating Bus Passenger Flow

Yutaka Shimada, Motoki Takagi, Yukinobu Taniguchi

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

A bus transportation system provides social and economic advantages and plays a key role in our daily lives. This study aims at utilizing videos recorded by cameras installed in buses to improve and optimize bus services, where the required basic and important information is bus passenger flow. We here consider the problem of estimating the bus passenger flow as person re-identification problem on a bus. Then, we propose a method for improving the identification accuracy of persons by using bus-specific properties. Results show that the proposed method is simple but effective in solving the person re-identification problem on buses.

Original languageEnglish
Title of host publicationProceedings - 2nd International Conference on Multimedia Information Processing and Retrieval, MIPR 2019
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages169-174
Number of pages6
ISBN (Electronic)9781728111988
DOIs
Publication statusPublished - 22 Apr 2019
Event2nd International Conference on Multimedia Information Processing and Retrieval, MIPR 2019 - San Jose, United States
Duration: 28 Mar 201930 Mar 2019

Publication series

NameProceedings - 2nd International Conference on Multimedia Information Processing and Retrieval, MIPR 2019

Conference

Conference2nd International Conference on Multimedia Information Processing and Retrieval, MIPR 2019
CountryUnited States
CitySan Jose
Period28/03/1930/03/19

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Keywords

  • Bus passenger flow
  • Deep learning
  • PRID
  • Partial correlation coefficient

Cite this

Shimada, Y., Takagi, M., & Taniguchi, Y. (2019). Person Re-identification for Estimating Bus Passenger Flow. In Proceedings - 2nd International Conference on Multimedia Information Processing and Retrieval, MIPR 2019 (pp. 169-174). [8695405] (Proceedings - 2nd International Conference on Multimedia Information Processing and Retrieval, MIPR 2019). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/MIPR.2019.00037