Real-time pedestrian detection using support vector machines

Seonghoon Kang, Hyeran Byun, Seong Whan Lee

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

    12 Citations (Scopus)

    Abstract

    In this paper, we present a real-time pedestrian detection system in outdoor environments. It is necessary for pedestrian detection to implement 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. For pedestrian detection, we have used stereo-based segmentation and SVM (Support Vector Machines), which has superior classification performance in binary classification case (e. g. object detection). We have used vertical edges, which can extracted from arms, legs, and the body of pedestrians, as features for training and detection. The experiments on a large number of street scenes demonstrate the effectiveness of the proposed for pedestrian detection system.

    Original languageEnglish
    Title of host publicationPattern Recognition with Support Vector Machines - First International Workshop, SVM 2002 Niagara Falls, Canada, August 10, 2002 Proceedings
    EditorsSeong-Whan Lee, Alessandro Verri
    PublisherSpringer Verlag
    Pages268-277
    Number of pages10
    ISBN (Print)354044016X
    DOIs
    Publication statusPublished - 2002
    Event1st International Workshop on Pattern Recognition with Support Vector Machines, SVM 2002 - Niagara Falls, Canada
    Duration: 2002 Aug 102002 Aug 10

    Publication series

    NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
    Volume2388
    ISSN (Print)0302-9743
    ISSN (Electronic)1611-3349

    Other

    Other1st International Workshop on Pattern Recognition with Support Vector Machines, SVM 2002
    Country/TerritoryCanada
    CityNiagara Falls
    Period02/8/1002/8/10

    Bibliographical note

    Publisher Copyright:
    © Springer-Verlag Berlin Heidelberg 2002.

    ASJC Scopus subject areas

    • Theoretical Computer Science
    • General Computer Science

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