Multiple pedestrians recognition using hybrid GA for driving assistance system

H. Suzuki, M. Minami

Research output: Contribution to conferencePaper

Abstract

This study proposes a method of recognizing multiple pedestrians in real time using a car-mounted camera, as a basic technology for the driving assistance system. We employed a hybrid GA (Genetic Algorithm) based on selective attention, which is the human visual function used to reduce processing load, to search for the position of pedestrians in input image. The hybrid GA used random searching as a rough, preliminary search of the area, then used an improved GA to carefully search the target possibilities. A real-time experiment on the recognition of multiple pedestrians in dynamic images obtained from a car-mounted camera was used to verify the effectiveness of the proposed method.

Original languageEnglish
Pages13-18
Number of pages6
Publication statusPublished - Dec 1 2006
Externally publishedYes
EventIASTED International Conference on Artificial Intelligence and Applications, AIA 2006 - Innsbruck, Austria
Duration: Feb 13 2006Feb 16 2006

Other

OtherIASTED International Conference on Artificial Intelligence and Applications, AIA 2006
CountryAustria
CityInnsbruck
Period2/13/062/16/06

Keywords

  • Car-mounted camera
  • Genetic algorithm
  • Intelligent transport systems
  • Pedestrians
  • Real-time recognition

ASJC Scopus subject areas

  • Artificial Intelligence
  • Computer Science Applications
  • Software

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  • Cite this

    Suzuki, H., & Minami, M. (2006). Multiple pedestrians recognition using hybrid GA for driving assistance system. 13-18. Paper presented at IASTED International Conference on Artificial Intelligence and Applications, AIA 2006, Innsbruck, Austria.