Abstract This paper presents a novel method for human gesture recognition based on quadratic curves. Firstly, face and hands in the images are extracted by skin color and their central points are kept tracked by a modified Greedy Exchange algorithm. Then in each trajectory, the central points are fitted into a quadratic curve and 6 invariants from this quadratic curve are computed. Following these computations, a gesture feature vector composed of 6n such invariants is constructed, where n is the number of the trajectories in this gesture. Lastly, the gesture models are learnt from the feature vectors of gesture samples and an input gesture is recognized by comparing its feature vector with those of gesture models. In this gesture recognition method, the computational cost is low because the gesture duration does not need to be considered and only simple curvilinear integral and matrix computation are involved. Experiments on hip-hop dance show that our method can achieve a recognition rate as high as 97.65% on a database of 16 different gestures, each performed by 8 different people for 8 different times.


    Zugriff

    Zugriff prüfen

    Verfügbarkeit in meiner Bibliothek prüfen

    Bestellung bei Subito €


    Exportieren, teilen und zitieren



    Titel :

    Gesture Recognition Using Quadratic Curves


    Beteiligte:
    Dong, Qiulei (Autor:in) / Wu, Yihong (Autor:in) / Hu, Zhanyi (Autor:in)


    Erscheinungsdatum :

    2006-01-01


    Format / Umfang :

    9 pages





    Medientyp :

    Aufsatz/Kapitel (Buch)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch




    Gesture Recognition Using Quadratic Curves

    Dong, Q. / Wu, Y. / Hu, Z. | British Library Conference Proceedings | 2006


    GESTURE RECOGNITION DEVICE AND GESTURE RECOGNITION METHOD

    HIGUCHI DAIKI / OHASHI DAISUKE | Europäisches Patentamt | 2022

    Freier Zugriff


    Gesture recognition apparatus, gesture recognition method, and recording medium

    OBATA KIJURO | Europäisches Patentamt | 2016

    Freier Zugriff

    GESTURE RECOGNITION APPARATUS

    OYA YOSHIYUKI / TSUKAHARA YASUNORI | Europäisches Patentamt | 2017

    Freier Zugriff