Toward real-time extraction of pedestrian contexts with stereo camera

Kei Suzuki, Kazunori Takashio, Hideyuki Tokuda, Masaki Wada, Yusuke Matsuki, Kazunori Umeda

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

1 Citation (Scopus)

Abstract

We extract the mood of disquiet on street corners in real-time with stereo video camera systems. Last year we proposed a novel stereo measurement algorithm to detect moving people, which was focusing on moving region in video data. In this paper, we report our prototype of probabilistic inference engine that can detect contexts of individual pedestrian and groups of pedestrians. We demonstrated that the real-time extraction of higher-level pedestrian contexts using the Bayesian Network model was effective for extracting several pedestrians' context.

Original languageEnglish
Title of host publicationProceedings of INSS 2008 - 5th International Conference on Networked Sensing Systems
Pages115-118
Number of pages4
DOIs
Publication statusPublished - 2008
EventINSS 2008 - 5th International Conference on Networked Sensing Systems - Kanazawa, Japan
Duration: 2008 Jun 172008 Jun 19

Publication series

NameProceedings of INSS 2008 - 5th International Conference on Networked Sensing Systems

Other

OtherINSS 2008 - 5th International Conference on Networked Sensing Systems
Country/TerritoryJapan
CityKanazawa
Period08/6/1708/6/19

Keywords

  • Bayesian network model
  • Distributed camera system
  • Pedestrian context
  • Realtime context analysis
  • Stereo vision

ASJC Scopus subject areas

  • Computer Networks and Communications
  • Electrical and Electronic Engineering

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