www.pudn.com > Matlab_Tracker.rar > testTracker.asv

%%% main file for running trackers 
clear all; 
close all; 
 
%directory and filename prefix 
prefix = 'e:\\sample\frame0'; 
 
% start frame 
fstart = 1; 
 
% first frame 
fname = sprintf('%s%04d.jpg',prefix,fstart); 
im = imread(fname); 
fprintf('Intialize frame: %s\n', fname); 
 
%get size 
nrows = size(im,1); 
ncols = size(im,2); 
 
%display image 
figure(1);clf; 
imagesc(im); 
%axis equal; 
 
%get 4 vertices of object 
%fprintf('Please click 4 corners of the object to track:'); 
%[xbox,ybox] = ginput(4);  %user inputs corners of bounding box 
 
xbox = [225 265 304 262]; 
ybox = [255 248 311 324]; 
 
%get object mask; 
[xx, yy] = meshgrid(1:ncols, 1:nrows); 
in = inpolygon(xx,yy,xbox,ybox); 
objMask = zeros(nrows, ncols); 
objMask(find(in)) = 255; 
objMask = uint8(objMask); 
% figure(2); 
% imagesc(objMask); 
 
%get object bounding box 
xbox = round(xbox); 
ybox = round(ybox); 
left = min(xbox);     
right = max(xbox);  
top = min(ybox);      
bottom = max(ybox);  
objCenterx = round((left+right)/2); 
objCentery = round((top+bottom)/2); 
objBox = [left,right,top,bottom];  
figure(1); 
drawboxmm(objBox(1),objBox(2),objBox(3),objBox(4),'b',3); 
 
%use object mask or not 
maskFlag = 1; 
 
%tracker selection 
trackerIdx = 1; 
 
%initialize tracker on first frame 
switch trackerIdx 
    case 1 
        if maskFlag == 1 
            initModel = tkTemplateMatch_Init(im, objBox, objMask);             
        else 
            initModel = tkTemplateMatch_Init(im, objBox); 
        end 
    case 2 
        if maskFlag == 1 
            initModel = tkMeanshift_Init(im, objBox, objMask); 
        else 
            initModel = tkMeanshift_Init(im, objBox); 
        end 
    case 3 
        if maskFlag == 1 
            initModel = tkVarianceRatio_Init(im, objBox,objMask); 
        else 
            initModel = tkVarianceRatio_Init(im, objBox); 
        end 
    case 4 
        if maskFlag == 1 
            initModel = tkPeakDifference_Init(im, objBox,objMask); 
        else 
            initModel = tkPeakDifference_Init(im, objBox); 
        end 
    case 5 
        if maskFlag == 1 
            initModel = tkRatioShift_Init(im, objBox,objMask);                 
        else 
            initModel = tkRatioShift_Init(im, objBox);                 
        end 
end 
 
 
% now go to next frame... 
nextframe = fstart+1; 
step=1; 
loopCount = 9; 
for findex = nextframe:step:nextframe+loopCount*step-1 
    trainframe=findex; 
     
    % read the next frame 
    fname = sprintf('%s%04d.jpg',prefix,trainframe); 
    im = imread(fname); 
    fprintf('tracking frame: %s\n', fname); 
     
    % display image 
    figure(1); clf;  
    imagesc(im)  
    %axis equal; 
         
     
    switch trackerIdx 
        case 1 
            [rstBox, objMask] = tkTemplateMatch_Next(initModel, im, objBox); 
        case 2 
            [rstBox, objMask] = tkMeanShift_Next(initModel, im, objBox); 
        case 3  
            [rstBox, objMask] = tkVarianceRatio_Next(initModel, im, objBox);             
        case 4  
            [rstBox, objMask] = tkPeakDifference_Next(initModel, im, objBox);             
        case 5  
            [rstBox, objMask] = tkRatioShift_Next(initModel, im, objBox);                     
    end 
     
    objBox = rstBox; 
         
    % inner bounding box (containing object) 
    figure(1); 
    drawboxmm(objBox(1),objBox(2),objBox(3),objBox(4),'k',3); 
     
    % display mask 
%      figure(3); clf;  
%      imagesc(objMask)      
end  % loop back and continue