Measurement of pedestrian groups using subtraction stereo

Kenji Terabayashi*, Yuki Hashimoto, Kazunori Umeda

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

1 Scopus citations

Abstract

In this paper, detection of pedestrian groups and counting of the number of pedestrians in each group using "subtraction stereo" are discussed. Subtraction stereo is a stereo vision method that focuses on the movement of objects to make a stereo camera robust and produces range images for moving regions. Pedestrian groups are detected with a standard labeling, and three dimensional (3D) features of pedestrian groups are measured from range images obtained by subtraction stereo. Then a method to count the number of pedestrians in a group is proposed. The basic algorithm of the subtraction stereo is implemented on a commercially available stereo camera, and the effectiveness of the method to count the number of pedestrians is verified by experiments using the stereo camera.

Original languageEnglish
Title of host publicationAdvances in Visual Computing - 5th International Symposium, ISVC 2009, Proceedings
Pages538-549
Number of pages12
EditionPART 2
DOIs
StatePublished - 2009
Event5th International Symposium on Advances in Visual Computing, ISVC 2009 - Las Vegas, NV, United States
Duration: 2009/11/302009/12/02

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
NumberPART 2
Volume5876 LNCS
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Conference

Conference5th International Symposium on Advances in Visual Computing, ISVC 2009
Country/TerritoryUnited States
CityLas Vegas, NV
Period2009/11/302009/12/02

ASJC Scopus subject areas

  • Theoretical Computer Science
  • General Computer Science

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