An autonomous system for ground-based cloud tracking using the mean-shift algorithm

M. D. O'toole, S. A. Wormald, D. Kerr, J. Coupland, A. P. Sandford

    Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

    Abstract

    Increasing desire for automation in weather reports generated by air-traffic control centers and meteorological observatories has created the opportunity for autonomous system to identify and track clouds as they move across the sky. Essential to the operation of the apparatus is a robust algorithm capable of identifying and isolating individual clouds and tracking their motion. In this paper, we describe a procedure for the tracking of clouds using the mean-shift algorithm and the Hampel filter. The procedure is demonstrated on a sequence of infrared images, taken at our facility, of a cumulus cloud traversing the sky.

    Original languageEnglish
    Title of host publicationField Robotics - Proceedings of the 14th International Conference on Climbing and Walking Robots and the Support Technologies for Mobile Machines, CLAWAR 2011
    PublisherWorld Scientific Publishing Co. Pte. Ltd
    Pages847-854
    Number of pages8
    ISBN (Print)981437427X, 9789814374279
    Publication statusPublished - 1 Dec 2012
    Event14th International Conference on Climbing and Walking Robots and the Support Technologies for Mobile Machines, CLAWAR 2011 - Paris, France
    Duration: 6 Sept 20118 Sept 2011

    Conference

    Conference14th International Conference on Climbing and Walking Robots and the Support Technologies for Mobile Machines, CLAWAR 2011
    Country/TerritoryFrance
    CityParis
    Period6/09/118/09/11

    Keywords

    • Autonomous tracking
    • Mean-shift
    • Meteorology
    • Remote sensing

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