With the development of computer neural network and machine vision, human posture detection has become an important research field in machine vision. In this paper, the Openpose human posture recognition algorithm is used to extract the posture characteristic information of traffic police, and the gesture posture of traffic police in traffic command is calculated by the key point information of the human body, so as to judge the gesture instructions of traffic police. Openpose pose recognition algorithm can deal with human body pose recognition in different scenes well.


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    Titel :

    Traffic police gesture recognition and judgment based on Openpose


    Beteiligte:
    Xia, Haojie (Herausgeber:in) / Yu, Liandong (Herausgeber:in) / Zhu, Lianqing (Herausgeber:in) / Luo, Zai (Herausgeber:in) / Zhu, Qingxiang (Autor:in) / Dang, Xueming (Autor:in)

    Kongress:

    Eleventh International Symposium on Precision Mechanical Measurements ; 2023 ; Guangzhou, China


    Erschienen in:

    Proc. SPIE ; 13178


    Erscheinungsdatum :

    13.09.2024





    Medientyp :

    Aufsatz (Konferenz)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch



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