% Adam Kukucka
% Zach Clay
% Marcelo Molina
% CSE 486 Project 3
function [ trackmov probmov centers ] = camshift
% ******************************************************************
% initialize vari ables
% ******************************************************************
rmin = 0; %min row value for search window
rmax = 0; %max row value for search window
cmin = 0; %min col value for search window
cmax = 0; %max col value for search window
numofframes = 0; %number of frames in the avi
threshold = 1; %threshold for convergence
centerold = [0 0]; %for convergence... previous center of window
centernew = [0 0]; %for convergence... new center of window
% ******************************************************************
% Pre code... load movie and select initial frame
% ******************************************************************
% prompt user for avi file name
user_entry = input('Please enter an avi filename: ','s');
% load the avi file... handle is M
M = aviread(user_entry);
% get number of frames
[dontneed numberofframes] = size(M);
% initialize matrix to hold center coordinates
imagecenters = zeros(numberofframes, 2);
% extract the first frame from the avi
Frame1 = M(1,1);
Image1 = frame2im(Frame1);
%%% ********** images(:, :, numberofframes) = G(:,:);
% get search window for first frame
[ cmin, cmax, rmin, rmax ] = select( Image1 );
cmin = round(cmin);
cmax = round(cmax);
rmin = round(rmin);
rmax = round(rmax);
wsize(1) = abs(rmax - rmin);
wsize(2) = abs(cmax - cmin);
% create histogram
% translate to hsv
hsvimage = rgb2hsv(Image1);
% pull out the h
huenorm = hsvimage(:,:,1);
% scale to 0 to 255
hue = huenorm*255;
% set unit type
hue=uint8(hue);
% Getting Histogram of Image:
histogram = zeros(256);
for i=rmin:rmax
for j=cmin:cmax
index = uint8(hue(i,j)+1);
%count number of each pixel
histogram(index) = histogram(index) + 1;
end
end
% ******************************************************************
% Algorithm from pdf
% ******************************************************************
aviobj1 = avifile('example3.avi');
aviobj2 = avifile('example4.avi');
% for each frame
for i = 1:200
disp('Processing frame');
disp(i);
Frame = M(1, i);
I = frame2im(Frame);
% translate to hsv
hsvimage = rgb2hsv(I);
% pull out the h
huenorm = hsvimage(:,:,1);
% scale to 0 to 255
hue = huenorm*255;
% set unit type
hue=uint8(hue);
[rows cols] = size(hue);
% choose initial search window
% the search window is (cmin, rmin) to (cmax, rmax)
% create a probability map
probmap = zeros(rows, cols);
for r=1:rows
for c=1:cols
if(hue(r,c) ~= 0)
probmap(r,c)= histogram(hue(r,c));
end
end
end
probmap = probmap/max(max(probmap));
probmap = probmap*255;
count = 0;
rowcenter = 0; % any number just so it runs through at least twice
colcenter = 0;
rowcenterold = 30;
colcenterold = 30;
% Mean Shift for 15 iterations or until convergence(the center doesnt
% change)
while (((abs(rowcenter - rowcenterold) > 2) && (abs(colcenter - colcenterold) > 2)) || (count < 15) )
%for j = 1:5
%disp('meanshift');
% disp(j);
rmin = rmin - 7; %increase window size and check for center
rmax = rmax + 7;
cmin = cmin - 7;
cmax = cmax + 7;
rowcenterold = rowcenter; %save old center for convergence check
colcenterold = colcenter;
[ rowcenter colcenter M00 ] = meanshift(I, rmin, rmax, cmin,...
cmax, probmap);
% given image (I), search window(rmin rmax cmin cmax)
% returns new center (colcenter, rowcenter) for window and
% zeroth moment (Moo)
% redetermine window around new center
rmin = round(rowcenter - wsize(1)/2);
rmax = round(rowcenter + wsize(1)/2);
cmin = round(colcenter - wsize(2)/2);
cmax = round(colcenter + wsize(2)/2);
wsize(1) = abs(rmax - rmin);
wsize(2) = abs(cmax - cmin);
count = count + 1;
end
% mark center on image
%save image
G = .2989*I(:,:,1)...
+.5870*I(:,:,2)...
+.1140*I(:,:,3);
trackim=G;
%make box of current search window on saved image
for r= rmin:rmax
trackim(r, cmin) = 255;
trackim(r, cmax) = 255;
end
for c= cmin:cmax
trackim(rmin, c) = 255;
trackim(rmax, c) = 255;
end
aviobj1 = addframe(aviobj1,trackim);
aviobj2 = addframe(aviobj2,probmap);
%create image movie, and probability map movie
trackmov(:,:,i)= trackim(:,:);
probmov(:,:,i) = probmap(:,:);
% save center coordinates as an x, y by doing col, row
centers(i,:) = [colcenter rowcenter];
% Set window size = 2 * (Moo/256)^1/2
windowsize = 2 * (M00/256)^.5;
% get side length ... window size is an area so sqrt(Area)=sidelength
sidelength = sqrt(windowsize);
% determine rmin, rmax, cmin, cmax
rmin = round(rowcenter-sidelength/2);
rmax = round(rowcenter+sidelength/2);
cmin = round(colcenter-sidelength/2);
cmax = round(colcenter+sidelength/2);
wsize(1) = abs(rmax - rmin);
wsize(2) = abs(cmax - cmin);
end
% end for loop
