Object Tracking using Image Registration and Kalman Filter

Naidu, VPS and Raol, JR Object Tracking using Image Registration and Kalman Filter. In: International Conference on Avionics Systems, 22-23 Feb. 2008,, RCI, Hyderabad.

Full text available as:
[img] PDF
Download (438Kb)


    Image registration and Kalman filter based object tracking algorithm is presented. Image registration algorithms viz., sum absolute difference (SAD) and normalized cross correlation (NCC) algorithms are used to find the centroid of the object of interest and Kalman filter is used to track the centroid of the target. Paraboloid interpolation has been used to compute the centroid in sub pixel accuracy. It was observed that in presence of salt and pepper noise, the SAD algorithm performed better and in presence of Gaussian noise, the NCC performed better.

    Item Type: Conference or Workshop Item (Paper)
    Subjects: AERONAUTICS > Aircraft Communication & Navigation
    AERONAUTICS > Avionics & Aircraft Instrumentation
    ENGINEERING > Communications and Radar
    Division/Department: Flight Mechanics and Control Division, Flight Mechanics and Control Division
    Depositing User: Dr VPS Naidu
    Date Deposited: 06 Jul 2010 10:23
    Last Modified: 06 Jul 2010 10:23
    URI: http://nal-ir.nal.res.in/id/eprint/8530

    Actions (login required)

    View Item