Object detection and classification for outdoor walking guidance system

Seonghoon Kan, Seong Whan Lee

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

Abstract

In this paper, we present an object detection and classification method for OpenEyes-II. OpenEyes-II is a walking guidance system that helps the visually impaired to respond naturally to various situations that can occur in unrestricted natural outdoor environments during walking and reaching the destination. Object detection and classification is requisite for implementing obstacle and face detection which are major parts of a walking guidance system. It can discriminate pedestrian from obstacles, and extract candidate regions for face detection and recognition. We have used stereo-based segmentation and SVM (Support Vector Machines), which has superior classification performance in binary classification case such like object detection. The experiments on a large number of street scenes demonstrate the effectiveness of the proposed method.

Original languageEnglish
Title of host publicationBiologically Motivated Computer Vision - 2nd International Workshop, BMCV 2002, Proceedings
PublisherSpringer Verlag
Pages601-610
Number of pages10
Volume2525
ISBN (Print)9783540001744
Publication statusPublished - 2002
Event2nd International Workshop on Biologically Motivated Computer Vision, BMCV 2002 - Tubingen, Germany
Duration: 2002 Nov 222002 Nov 24

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume2525
ISSN (Print)03029743
ISSN (Electronic)16113349

Other

Other2nd International Workshop on Biologically Motivated Computer Vision, BMCV 2002
Country/TerritoryGermany
CityTubingen
Period02/11/2202/11/24

ASJC Scopus subject areas

  • Computer Science(all)
  • Theoretical Computer Science

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