问题描述

matlab运动物体检测程序报错

在做运动物体检测inputvideo 和outputvideo均正常
主程序如下
clear data
disp('input video');

avi= VideoReader('samplevideo.avi');
numFrames = avi.NumberOfFrames;% 读取视频的帧数
vidHeight = avi.Height;
vidWidth = avi.Width;

for i = 1 : numFrames
frame = read(avi,i);% 读取每一帧
imshow(frame);%显示每一帧
imwrite(frame,strcat(num2str(i),'.jpg'),'jpg');% 保存每一帧
end
mov(1:numFrames) = ...
struct('cdata', zeros(vidHeight, vidWidth, 3, 'uint8'),...
'colormap', []);
for k = 1 : numFrames
mov(k).cdata = read(avi, k);
end
video={mov.cdata};
for a = 1:length(video)
imagesc(video{a});
axis image off
drawnow;
end;
disp('output video');
tracking(video);

报错Conversion to double from cell is not possible
Error in tracking (line 9)
pixels = double(cat(4，video(1:2:end)))/255
于是按网上说法用cell2mat函数，
pixels = double(cat(4,cell2mat(video(1:2:end))))/255
但是这样track函数就好像没调用，输出没结果，求帮助
tracking函数如下

function d = tracking(video)
if ischar(video)
% Load the video from an avi file.
avi = mmread(video);
pixels = double(cat(4,avi(1:2:end).cdata))/255;
clear avi
else
% Compile the pixel data into a single array
pixels = double(cat(4,cell2mat(video(1:2:end))))/255;
clear video
end

% Convert to RGB to GRAY SCALE image.
nFrames = size(pixels,4);
for f = 1:nFrames

% F = getframe(gcf);
% [x,map]=frame2im(F);
% imwrite(x,'fln.jpg','jpg');
% end
pixel(:,:,f) = (rgb2gray(pixels(:,:,:,f)));

end
rows=240;
cols=320;
nrames=f;
for l = 2:nrames
d(:,:,l)=(abs(pixel(:,:,l)-pixel(:,:,l-1)));

k=d(:,:,l);
% imagesc(k);
% drawnow;
% himage = imshow('d(:,:,l)');
% hfigure = figure;
% impixelregionpanel(hfigure, himage);

% datar=imageinfo(imagesc(d(:,:,l)));
% disp(datar);

bw(:,:,l) = im2bw(k, .2);

bw1=bwlabel(bw(:,:,l));
figure;imshow(bw(:,:,l))
hold on

% % for h=1:rows
% for w=1:cols
%

% if(d(:,:,l)< 0.1)
% d(h,w,l)=0;
% end
% end
%

% end

% % disp(d(:,:,l));
% % size(d(:,:,l))
cou=1;
for h=1:rows
for w=1:cols
if(bw(h,w,l)>0.5)

% disp(d(h,w,l));
toplen = h;

         if (cou == 1)
        tpln=toplen;

    end
     cou=cou+1;
  break
 end

end

end

disp(toplen);

coun=1;
for w=1:cols
for h=1:rows
if(bw(h,w,l)>0.5)

  leftsi = w;

if (coun == 1)
lftln=leftsi;
coun=coun+1;
end
break
end

end

end

disp(leftsi);
disp(lftln);

% % drawnow;
% % d = abs(pixel(:, :, l), pixel(:, :, l-1));
% % disp(d);

% s = regionprops(bw1, 'BoundingBox');
% % centroids = cat(1, s.Centroid);
%
% % ang=s.Orientation;
%

% % plot(centroids(:,1), centroids(:,2), 'r*')
% for r = 1 : length(s)

% rectangle('Position',s(r).BoundingBox,'EdgeColor','r');
%
% % plot('position',s(r).BoundingBox,'faceregion','r');
% end

%

% % disp(ang);
% % imaqmontage(k);

widh=leftsi-lftln;
heig=toplen-tpln;

widt=widh/2;
disp(widt);
heit=heig/2;
with=lftln+widt;
heth=tpln+heit;
wth(l)=with;
hth(l)=heth;

disp(heit);
disp(widh);
disp(heig);
rectangle('Position',[lftln tpln widh heig],'EdgeColor','r');
disp(with);
disp(heth);
plot(with,heth, 'r*');
drawnow;
hold off

end;
% wh=square(abs(wth(2)-wth(nrames)));
% ht=square(abs(hth(2)-hth(nrames)));
% disp(wth(1
% distan=sqrt(wh+ht);
%
% disp(distan);

解决方案

matlab练习程序（SUSAN检测）