This paper addresses gesture recognition under small sample size, where direct use of traditional classifiers is difficult due to high dimensionality of input space. We propose a pairwise feature extraction method of video volumes for classification. The method of Canonical Correlation Analysis is combined with the discriminant functions and Scale-Invariant-Feature-Transform (SIFT) for the discriminative spatiotemporal features for robust gesture recognition. The proposed method is practically favorable as it works well with a small amount of training samples, involves few parameters, and is computationally efficient. In the experiments using 900 videos of 9 hand gesture classes, the proposed method notably outperformed the classifiers such as Support Vector Machine/Relevance Vector Machine, achieving 85% accuracy.


    Zugriff

    Zugriff prüfen

    Verfügbarkeit in meiner Bibliothek prüfen

    Bestellung bei Subito €


    Exportieren, teilen und zitieren



    Titel :

    Gesture Recognition Under Small Sample Size


    Beteiligte:
    Yagi, Yasushi (Herausgeber:in) / Kang, Sing Bing (Herausgeber:in) / Kweon, In So (Herausgeber:in) / Zha, Hongbin (Herausgeber:in) / Kim, Tae-Kyun (Autor:in) / Cipolla, Roberto (Autor:in)

    Kongress:

    Asian Conference on Computer Vision ; 2007 ; Tokyo, Japan November 18, 2007 - November 22, 2007


    Erschienen in:

    Computer Vision – ACCV 2007 ; Kapitel : 31 ; 335-344


    Erscheinungsdatum :

    2007-01-01


    Format / Umfang :

    10 pages





    Medientyp :

    Aufsatz/Kapitel (Buch)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch




    GESTURE RECOGNITION DEVICE AND GESTURE RECOGNITION METHOD

    HIGUCHI DAIKI / OHASHI DAISUKE | Europäisches Patentamt | 2022

    Freier Zugriff


    GESTURE RECOGNITION APPARATUS

    OYA YOSHIYUKI / TSUKAHARA YASUNORI | Europäisches Patentamt | 2017

    Freier Zugriff

    Gesture recognition apparatus, gesture recognition method, and recording medium

    OBATA KIJURO | Europäisches Patentamt | 2016

    Freier Zugriff

    GESTURE RECOGNITION DEVICE

    UEDA HIROYASU / ISHIZAKA KAZUYOSHI | Europäisches Patentamt | 2017

    Freier Zugriff