Based on a particle filter, a method that mobile robots can track a person in complex environment was presented. The problem of person following for mobile robot has been researched many different areas. The main issues of following a person are real time constraint, motion change of person during the tracking and occlusion with other objects. Using appearance-adaptive models in a particle filter, a robust visual tracking algorithm was realized. The appearance-adaptive model can handle occlusion with other people while the target is moving.


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    Titel :

    Person tracking with a mobile robot using particle filters in complex environment


    Beteiligte:
    Kwon, Ho Sang (Autor:in) / Kim, Young Joong (Autor:in) / Lim, Myo Taeg (Autor:in)

    Kongress:

    ICMIT 2005: Control Systems and Robotics ; 2005 ; Chongqing,China


    Erschienen in:

    Erscheinungsdatum :

    22.12.2005





    Medientyp :

    Aufsatz (Konferenz)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch




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