blobTrackMotionVector.m

%
% Computes the absolute value normals of the movements.
%
% FLAGS
%
%  'compareWith'  establishes a comparison with a frame coming
%                 'compareWith'- after the one being analyzed.
%
%  'maximumDistance' : boolean
%                      Assigns to each time frame the maximum distance
%                      of drive away attained in the frame interval
%                      of compareWith frames after the one considered.
%
%
% SYNTAX
%
%  nv = blobTrackMotionVector(centers,'compareWith',30);

function [nv,o] = blobTrackMotionVector(centers,varargin)

nv = [];
o = mbparse.output();
p = inputParser();
p.addParamValue('compareWith',1);
p.addParamValue('median',false);
p.addParamValue('maximumDistance',false);
p.parse(varargin{:});
q = p.Results();

N = size(centers,1);
for i=1:N-q.compareWith
    c1 = centers(i,:);
    c2 = centers(i+q.compareWith,:);
    nv(i) = norm(c1-c2);
    
    
    if q.maximumDistance
        bagOfDistances = [];
        for k=i:i+q.compareWith
            kc1 = centers(i,:);
            kc2 = centers(k,:);
            thisNorm =  norm(kc1-kc2);
            bagOfDistances(end+1) = thisNorm;
        end
        
        nv(i) = max(bagOfDistances(:));
    end
    
    if q.median
        bagOfNorms = [];
        for k=i:i+q.compareWith
             kc1 = centers(k,:);
             kc2 = centers(k,:);
           thisNorm =  7;
        end
        
       nv(i) = median(bagOfNorms(:)); 
    end
    
end

o = mbparse.output();