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

Ho Sang Kwon, Young Joong Kim, Myo Taeg Lim

    Research output: Contribution to journalConference articlepeer-review

    1 Citation (Scopus)

    Abstract

    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.

    Original languageEnglish
    Article number60423S
    JournalProceedings of SPIE - The International Society for Optical Engineering
    Volume6042 II
    DOIs
    Publication statusPublished - 2005
    EventICMIT 2005: Control Systems and Robotics - Chongging, China
    Duration: 2005 Sept 202005 Sept 23

    Keywords

    • Image processing
    • Mobile robot
    • Particle filter
    • Visual tracing

    ASJC Scopus subject areas

    • Electronic, Optical and Magnetic Materials
    • Condensed Matter Physics
    • Computer Science Applications
    • Applied Mathematics
    • Electrical and Electronic Engineering

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