Target Tracking and Fusion Using Imaging Sensor and Ground Based Radar Data 2005-5842

Naidu, P and Girija, G and Raol, JR (2005) Target Tracking and Fusion Using Imaging Sensor and Ground Based Radar Data 2005-5842. In: AIAA Guidance, Navigation, and Control Conference and Exhibit, 15-18 August 2005, San Francisco, California.

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    Abstract

    An image centroid tracking algorithm (ICTA) has been implemented in PC MATLAB13; for target tracking based on the data obtained from an imaging sensor. The gray level image13; is converted into binary image using the segmentation technique and reduced into clusters13; using nearest neighbor criterion. Nearest neighborhood Kalman filter and Probabilistic data13; association filter are employed for state estimation using centroid measurement of clusters.13; The simulated results showed that it is possible to achieve tracking accuracies of 0.52 pixels13; root mean square error in position and 0.2 pixels/frame in velocity. Performance of this13; algorithm is evaluated using several statistical criteria. ICTA has been extended to multisensor13; scenario, where the trajectories obtained from the imaging sensor are fused with13; those from a ground based radar using track-to-track fusion technique.

    Item Type: Conference or Workshop Item (Paper)
    Uncontrolled Keywords: ICTA;PC MATLAB;Kalman filter;Probabilistic data filter
    Subjects: AERONAUTICS > Aeronautics (General)
    AERONAUTICS > Aerodynamics
    Division/Department: Flight Mechanics and Control Division, Flight Mechanics and Control Division, Flight Mechanics and Control Division
    Depositing User: Mr. N A
    Date Deposited: 29 Oct 2007
    Last Modified: 24 May 2010 09:39
    URI: http://nal-ir.nal.res.in/id/eprint/983

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