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

    • General Computer Science
    • Theoretical Computer Science

    Fingerprint

    Dive into the research topics of 'Object detection and classification for outdoor walking guidance system'. Together they form a unique fingerprint.

    Cite this