Abstract Sign recognition has been one of the challenging problems in computer vision for years. For many sign languages, signs formed by two overlapping hands are a part of the vocabulary. In this work, an algorithm for recognizing such signs with overlapping hands is presented. Two formulations are proposed for the problem. For both approaches, the input blob is converted to a graph representing the finger and palm structure which is essential for sign understanding. The first approach uses a graph subdivision as the basic framework, while the second one casts the problem to a label assignment problem and integer programming is applied for finding an optimal solution. Experimental results are shown to illustrate the feasibility of our approaches.


    Access

    Check access

    Check availability in my library

    Order at Subito €


    Export, share and cite



    SIGN RECOGNITION DEVICE, SIGN RECOGNITION SYSTEM, AND SIGN RECOGNITION METHOD

    KASHIWAGI KUNIAKI / NAKATANI YUZURU / ISHIKAWA KOHEI | European Patent Office | 2024

    Free access

    SIGN RECOGNITION DEVICE AND SIGN RECOGNITION METHOD

    SHIINA YUHI / TRUONG BINH / NAGASAKI TAKESHI | European Patent Office | 2022

    Free access

    SIGN RECOGNITION SYSTEM AND SIGN RECOGNITION METHOD

    USUI YOSHIMASA / NOMURA TOMOO | European Patent Office | 2020

    Free access

    SIGN RECOGNITION DEVICE AND SIGN RECOGNITION METHOD

    TRUONG DYUBINH / SHIINA YUHI / NAGASAKI TAKESHI | European Patent Office | 2023

    Free access

    SIGN RECOGNITION SYSTEM AND SIGN RECOGNITION METHOD

    USUSI YOSHIMASA / NOMURA TOMOO | European Patent Office | 2020

    Free access