Real-time estimation method of the number of pedestrians in video sequences

Sayaka Kuriyama, Go Hasegawa, Hirotaka Nakano

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

Abstract

In a ubiquitous network society, information on mobile nodes such as pedestrians with cell phones in a target region is useful for network configuration, communication control, and so on. In this paper, we propose a novel method to estimate in real time the number of pedestrians in video sequences using a stationary camera. The proposed method extracts moving regions from video frame grabs using background difference and frame difference, and estimates the number of pedestrians based on the size of the moving region using a conversion function constructed based on prior learning. We evaluate the effectiveness of the proposed method by comparing the estimated values with the actual values, and show that the estimation error of the number of pedestrians is smaller than 0.1 in approximately 50% of frames, and that the mean absolute error is 0.37.

Original languageEnglish
Title of host publicationProceedings - 2009 4th International Conference on Digital Telecommunications, ICDT 2009
Pages65-70
Number of pages6
DOIs
Publication statusPublished - 2009 Nov 20
Externally publishedYes
Event2009 4th International Conference on Digital Telecommunications, ICDT 2009 - Colmar, France
Duration: 2009 Jul 202009 Jul 25

Publication series

NameProceedings - 2009 4th International Conference on Digital Telecommunications, ICDT 2009

Conference

Conference2009 4th International Conference on Digital Telecommunications, ICDT 2009
CountryFrance
CityColmar
Period09/7/2009/7/25

Keywords

  • Background difference
  • Component
  • Frame difference
  • Stationary camera
  • Ubiquitous networks
  • Video sequences

ASJC Scopus subject areas

  • Computer Networks and Communications
  • Signal Processing
  • Electrical and Electronic Engineering

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