我正在进行手部检测和跟踪。 问题是我已经开发了用于检测图像中的手及其工作的代码(如下所示)(图中所示),但问题是当我使用录制的视频运行相同的代码时,没有检测到手甚至跟踪(如图所示)。
视频的代码是
filename = 'hand_2.wmv';
video = vision.VideoFileReader(filename);
player = vision.DeployableVideoPlayer('Location', [10,100],'FrameRate',60);
while ~isDone(video)
img_orig = step(video);
% Capture the dimensions
height = size(img_orig,1);
width = size(img_orig,2);
%Initialize the output images
out = img_orig;
bin = zeros(height,width);
%Convert the image from RGB to YCbCr
img_uint8 = uint8(img_orig);
img_ycbcr = rgb2ycbcr(img_uint8);
Cb = img_ycbcr(:,:,2);
Cr = img_ycbcr(:,:,3);
%Detect Skin
[r,c,v] = find(Cb>=67 & Cb<=137 & Cr>=133 & Cr<=173);
numind = size(r,1);
%Mark Skin Pixels
for i=1:numind
out(r(i),c(i),:) = [0 0 255];
bin(r(i),c(i)) = 1;
end
% Detect radius
[x1,y1] = find(out(:,:,3) == 255, 1,'first');
[x2,y2] = find(out(:,:,3) == 255, 1, 'last');
if isempty(y1) && isempty(y2)
y1 = 2; y2 = 0;
end
% Detect Hand Center
hits = 0;
hitsArr = zeros(1,height);
for i = 1:height
hits = numel(find(bin(i,:) == 1));
hitsArr(i) = hits;
end
maxHitr = max(hitsArr);
y = find(hitsArr == maxHitr,1,'first');
hitsArr = zeros(1,width);
for i = 1:width
hits = numel(find(bin(:,i) == 1));
hitsArr(i) = hits;
end
maxHitc = max(hitsArr);
x = find(hitsArr == maxHitc,1,'first');
label = 'Hand';
position = [x y abs(y2-y1)/2; x y 1];
img_out = insertObjectAnnotation(img_orig,'Circle',position,label);
step(player, img_out);
end
release(video);
release(player);
并且用于检测单个图像的代码是:
%Read the image, and capture the dimensions
tic;
img_orig = imread('65.png');
height = size(img_orig,1);
width = size(img_orig,2);
%Initialize the output images
out = img_orig;
bin = zeros(height,width);
%Convert the image from RGB to YCbCr
img_ycbcr = rgb2ycbcr(img_orig);
Cb = img_ycbcr(:,:,2);
Cr = img_ycbcr(:,:,3);
%Detect Skin
[r,c,v] = find(Cb>=67 & Cb<=137 & Cr>=133 & Cr<=173);
numind = size(r,1);
numcol = size(r,2);
%Mark Skin Pixels
for i=1:numind
out(r(i),c(i),:) = [0 0 255];
bin(r(i),c(i)) = 1;
end
% Detect radius
[x1,y1] = find(out(:,:,3) == 255, 1,'first');
[x2,y2] = find(out(:,:,3) == 255, 1, 'last');
% Detect Hand Center
hits = 0;
hitsArr = zeros(1,height);
for i = 1:height
hits = numel(find(bin(i,:) == 1));
hitsArr(i) = hits;
end
maxHitr = max(hitsArr);
y = find(hitsArr == maxHitr,1,'first');
hitsArr = zeros(1,width);
for i = 1:width
hits = numel(find(bin(:,i) == 1));
hitsArr(i) = hits;
end
maxHitc = max(hitsArr);
x = find(hitsArr == maxHitc,1,'first');
label = 'Hand';
position = [x y abs(y2-y1)/2; x y 1];
img_out = insertObjectAnnotation(img_orig,'Circle',position,label);
imshow(img_orig);
figure; imshow(img_out);title('Detected hand');
imwrite(img_out,'hand_detect.jpg');
% viscircles([x y],abs(y2-y1)/2,'EdgeColor','r');
% viscircles([x y],1,'EdgeColor','r');
% figure; imshow(out);
figure; imshow(bin);
toc;
我首先认为这是因为视频的帧速率却改变它也无济于事。 并且如上所述当我运行视频进行检测并跟踪代码失败时。 任何帮助将不胜感激。
答案 0 :(得分:2)
这种情况正在发生,因为当您从png文件中读取图像时,会得到一个uint8
图像,其像素值介于0到255之间。另一方面,vision.VideoFileReader
会为您提供类single
的图像{1}}将像素值归一化为介于0和1之间。您可以通过将“VideoOutputDataType”设置为“uint8”来解决此问题:
video = vision.VideoFileReader(filename, 'VideoOutputDataType', 'uint8');
在其他主题上,如果您想跟踪手牌,可以尝试使用vision.HistogramBasedTracker
或vision.PointTracker
。