Monte Carlo-based Bi-directional pedestrian counting with compound-eye sensor

Shuto Fujii, Yoshiaki Taniguchi, Go Hasegawa, Hirotaka Nakano

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

1 Citation (Scopus)

Abstract

In this paper, we propose a method for estimating the number of pedestrians walking in opposite directions, as in the case of a corridor. The proposed method utilizes a ceiling-mounted compound-eye sensor composed of two binary sensors with partially overlapping sensing regions. The output of the compound-eye sensor is sent to a monitoring server, where a number of Monte Carlo simulations are conducted. The simulation scenario with the smallest difference from the output history of the compound-eye sensor is selected as an estimate of the number of pedestrians. Simulations show that in crowded situations the relative error in the proposed method decreases by up to 45% compared to an existing method.

Original languageEnglish
Title of host publication2012 International Conference on Computer Systems and Industrial Informatics, ICCSII 2012
DOIs
Publication statusPublished - 2012 Dec 1
Externally publishedYes
Event2012 International Conference on Computer Systems and Industrial Informatics, ICCSII 2012 - Sharjah, United Arab Emirates
Duration: 2012 Dec 182012 Dec 20

Publication series

Name2012 International Conference on Computer Systems and Industrial Informatics, ICCSII 2012

Conference

Conference2012 International Conference on Computer Systems and Industrial Informatics, ICCSII 2012
CountryUnited Arab Emirates
CitySharjah
Period12/12/1812/12/20

ASJC Scopus subject areas

  • Computer Networks and Communications
  • Information Systems
  • Industrial and Manufacturing Engineering

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