Upper-body contour extraction using face and body shape variance information

Kazuki Hoshiai, Shinya Fujie, Tetsunori Kobayashi

    Research output: Contribution to journalArticle

    1 Citation (Scopus)

    Abstract

    We propose a fitting method using a model that integrates face and body shape variance information for upper-body contour extraction. Accurate body-contour extraction is necessary for various applications, such as pose estimation, gesture recognition, and so on. In this study, we regard it as the shape model fitting problem. A model including shape variance information can fit to the contour robustly even in the noisy case. AAMs are one of these models and can fit to a face successfully. It needs appearance information for effective fitting, but it can not be used in our case because appearance of upper-body easily changes by clothes. Instead of intensity image, proposed method uses edge image as appearance information. However, discrimination between a true contour edge of upper-body and other edges is difficult. To solve this problem, we integrate shapes of upper-body and face. It is expected that this integrated model is more robust to edges in clutter background and various locations of the body than a body shape model using only body shape information. We conduct experiments and confirm improvement in accuracy by integration of face and body variance information.

    Original languageEnglish
    Pages (from-to)862-873
    Number of pages12
    JournalLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
    Volume5414 LNCS
    DOIs
    Publication statusPublished - 2009

    Fingerprint

    Contour Extraction
    Face
    Integrate
    Gesture recognition
    Gesture Recognition
    Pose Estimation
    Model Fitting
    Integrated Model
    Clutter
    Model
    Discrimination
    Necessary
    Experiment

    Keywords

    • Active Appearance Models
    • Active Body Shape Models
    • Active Integrated Shape Models
    • Contour extraction

    ASJC Scopus subject areas

    • Computer Science(all)
    • Theoretical Computer Science

    Cite this

    @article{ae0cbb9f231741ae8b09872c4e15365b,
    title = "Upper-body contour extraction using face and body shape variance information",
    abstract = "We propose a fitting method using a model that integrates face and body shape variance information for upper-body contour extraction. Accurate body-contour extraction is necessary for various applications, such as pose estimation, gesture recognition, and so on. In this study, we regard it as the shape model fitting problem. A model including shape variance information can fit to the contour robustly even in the noisy case. AAMs are one of these models and can fit to a face successfully. It needs appearance information for effective fitting, but it can not be used in our case because appearance of upper-body easily changes by clothes. Instead of intensity image, proposed method uses edge image as appearance information. However, discrimination between a true contour edge of upper-body and other edges is difficult. To solve this problem, we integrate shapes of upper-body and face. It is expected that this integrated model is more robust to edges in clutter background and various locations of the body than a body shape model using only body shape information. We conduct experiments and confirm improvement in accuracy by integration of face and body variance information.",
    keywords = "Active Appearance Models, Active Body Shape Models, Active Integrated Shape Models, Contour extraction",
    author = "Kazuki Hoshiai and Shinya Fujie and Tetsunori Kobayashi",
    year = "2009",
    doi = "10.1007/978-3-540-92957-4_75",
    language = "English",
    volume = "5414 LNCS",
    pages = "862--873",
    journal = "Lecture Notes in Computer Science",
    issn = "0302-9743",
    publisher = "Springer Verlag",

    }

    TY - JOUR

    T1 - Upper-body contour extraction using face and body shape variance information

    AU - Hoshiai, Kazuki

    AU - Fujie, Shinya

    AU - Kobayashi, Tetsunori

    PY - 2009

    Y1 - 2009

    N2 - We propose a fitting method using a model that integrates face and body shape variance information for upper-body contour extraction. Accurate body-contour extraction is necessary for various applications, such as pose estimation, gesture recognition, and so on. In this study, we regard it as the shape model fitting problem. A model including shape variance information can fit to the contour robustly even in the noisy case. AAMs are one of these models and can fit to a face successfully. It needs appearance information for effective fitting, but it can not be used in our case because appearance of upper-body easily changes by clothes. Instead of intensity image, proposed method uses edge image as appearance information. However, discrimination between a true contour edge of upper-body and other edges is difficult. To solve this problem, we integrate shapes of upper-body and face. It is expected that this integrated model is more robust to edges in clutter background and various locations of the body than a body shape model using only body shape information. We conduct experiments and confirm improvement in accuracy by integration of face and body variance information.

    AB - We propose a fitting method using a model that integrates face and body shape variance information for upper-body contour extraction. Accurate body-contour extraction is necessary for various applications, such as pose estimation, gesture recognition, and so on. In this study, we regard it as the shape model fitting problem. A model including shape variance information can fit to the contour robustly even in the noisy case. AAMs are one of these models and can fit to a face successfully. It needs appearance information for effective fitting, but it can not be used in our case because appearance of upper-body easily changes by clothes. Instead of intensity image, proposed method uses edge image as appearance information. However, discrimination between a true contour edge of upper-body and other edges is difficult. To solve this problem, we integrate shapes of upper-body and face. It is expected that this integrated model is more robust to edges in clutter background and various locations of the body than a body shape model using only body shape information. We conduct experiments and confirm improvement in accuracy by integration of face and body variance information.

    KW - Active Appearance Models

    KW - Active Body Shape Models

    KW - Active Integrated Shape Models

    KW - Contour extraction

    UR - http://www.scopus.com/inward/record.url?scp=60149084379&partnerID=8YFLogxK

    UR - http://www.scopus.com/inward/citedby.url?scp=60149084379&partnerID=8YFLogxK

    U2 - 10.1007/978-3-540-92957-4_75

    DO - 10.1007/978-3-540-92957-4_75

    M3 - Article

    AN - SCOPUS:60149084379

    VL - 5414 LNCS

    SP - 862

    EP - 873

    JO - Lecture Notes in Computer Science

    JF - Lecture Notes in Computer Science

    SN - 0302-9743

    ER -