Detect before Track by particle filter.

4 visualizzazioni (ultimi 30 giorni)

Kamran Ashfaq il 25 Nov 2016

0
Link

Link diretto a questa domanda

https://it.mathworks.com/matlabcentral/answers/313985-detect-before-track-by-particle-filter

Modificato: Walter Roberson il 25 Nov 2016

i am trying to find out bhattacharyya distance for likelihood calculations. i wrote the following code and getting a wrong answer. please go through the code and help me out.

=================

rgbimageR = imread('r32.jpg');
rgbimage = imread('r36.jpg');
                                        %imshow(rgbimage);
figure;
                                        %Split into RGB Channels
RedR = rgbimageR(:,:,1);
GreenG = rgbimageR(:,:,2);
BlueB = rgbimageR(:,:,3); 
        Red = rgbimage(:,:,1);
        Green = rgbimage(:,:,2);
        Blue = rgbimage(:,:,3); 
        figure ;
        imshow(RedR);
        figure;
                                        %imhist(RedR,7);
[countsR,binLocationsR] = imhist(RedR,5);
stem(binLocationsR,countsR);
[rowsR,colsR]=size(RedR);
figure; 
[countsG,binLocationsG] = imhist(GreenG,5);
stem(binLocationsG,countsG);
[rowsG,colsG]=size(GreenG);
figure;   
[countsB,binLocationsB] = imhist(BlueB,5);
stem(binLocationsB,countsB);
[rowsB,colsB]=size(BlueB);
figure; 
                                        %imhist(Red,7);
        [counts,binLocations] = imhist(Red,5);
        stem(binLocations,counts);
        [rows,cols]=size(Red);
                                        %btacoffi=0; %p=zeros(rows,1);
 btacoffiR = zeros(5,1);
 btacoffiG = zeros(5,1);
 btacoffiB = zeros(5,1);
                                        %co =1;
 for ro = 1:5 ;
 btacoffiR(ro) = btacoffiR(ro) + sqrt((countsR(ro))*(counts(ro)));
 btacoffiG(ro) = btacoffiG(ro) + sqrt((countsG(ro))*(counts(ro)));
 btacoffiB(ro) = btacoffiB(ro) + sqrt((countsB(ro))*(counts(ro)));
                                        %btacoffi = sqrt((countsR(ro,co))*(counts(ro,co)));
                                        %btacoffi = btacoffi+btacoffi; 
 end
                                        %btadis = sqrt(1-btacoffi); 
 btadisR=0;
 btadisG=0;
 btadisB=0;
for i=1:5
  btadisR=btadisR + sqrt(1-btacoffiR(i));
  btadisG=btadisG + sqrt(1-btacoffiG(i));
  btadisB=btadisB + sqrt(1-btacoffiB(i));
end
btadis = btadisR + btadisG + btadisB ;