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from Gaussian Mixture Probability Hypothesis Density Filter (GM-PHD) by Bryan Clarke
Implementation of the Gaussian mixture probability hypothesis density filter GM-PHD.

unifpdf_2d(xrange, yrange, z)
%A 2D uniform PDF function. 
%xrange and yrange are inclusive limits of region
%z is a 2D sample point.
function val = unifpdf_2d(xrange, yrange, z)
    minX = xrange(1);
    maxX = xrange(2);
    minY = yrange(1);
    maxY = yrange(2);
    evalX = z(1);
    evalY = z(2);
    if(evalX < minX)
        val = 0;
        return;
    elseif(evalX > maxX)
        val = 0;
        return
    elseif (evalY < minY)
        val = 0;
        return;
    elseif(evalY > maxY)
        val = 0;
        return;
    else
        val = 1 / ((maxX - minX) * (maxY - minY));
    end

end

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