Moving object tracking using an adaptive colour filter

Feng Su, Gu Fang

    Research output: Chapter in Book / Conference PaperConference Paperpeer-review

    6 Citations (Scopus)

    Abstract

    ![CDATA[Moving object identification and tracking by computer vision plays an important role in surveillance using mobile robots. In this paper, a new method for moving object tracking using an adaptive colour filter is introduced. This method is capable of identifying the most salient colour feature in the moving object and using this colour feature to track the object. This method is also capable of adapting this selected colour feature when the surrounding condition is changed. Experimental results have shown that the proposed method can perform robustly in tracking a moving object using a robot mounted camera in a crowded environment.]]
    Original languageEnglish
    Title of host publicationProceedings 12th International Conference on Control, Automation, Robotics & Vision: Guangzhou, China, 5-7th December 2012 (ICARCV 2012)
    PublisherIEEE
    Pages1048-1052
    Number of pages5
    ISBN (Print)9781467318723
    DOIs
    Publication statusPublished - 2012
    EventInternational Conference on Control_Automation_Robotics and Vision -
    Duration: 5 Dec 2012 → …

    Conference

    ConferenceInternational Conference on Control_Automation_Robotics and Vision
    Period5/12/12 → …

    Keywords

    • adaptive color filters
    • computer vision
    • image processing
    • mobile robots
    • object recognition
    • object tracking

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