使用SVM分类器进行废弃对象检测。错误是：使用svmtrain时出错（第254行）Y和TRAINING必须具有相同的行数

Question

我正在使用svm中的matlab处理我的遗弃物体检测项目，我完全不熟悉它。

我一直遇到这样的错误，如下所示：

Error using svmtrain (line 254)
Y and TRAINING must have the same number of rows.
Error in NewSVM (line 35)
SVMStruct = svmtrain(Data,class);

我的代码：

imageOne = imread('D:\project\PlaneBackgound.jpg'); //Read a white image
[r,c] = size(imageOne);
imageTwo = imread('D:\d backup\my movie\sankalp 2014\IMG_6984.JPG'); //Read    reference image
resize = imresize(imageTwo,[r c/3]);//resize the image
K = imsubtract(imageOne,resize);
imshow(K);
imageTwo = rgb2gray(imageTwo);
imageTwo = resize(imageTwo,[200 200]);

readImages = dir('E:\Matlab\bin\data set\*.jpg'); //Read all the data from data set
for i = 1 : length(readImages) // read all the required images for providing to the svm, currently using only two images 
    filename = strcat('E:\Matlab\bin\data set\',readImages(i).name);
    imageRead{i} = imread(filename);
end
for i = 1:2 // using for loop, trying to convert all the images read into gray scale image and modifying the size and shape.  
    currentimage = imageRead{i};
    images{i} = currentimage;
    images{i} = im2double(images{i});
    images{i} = imresize(images{i},[200 200]);
    images{i} = rgb2gray(images{i});
    images{i} = reshape(images{i}', 1, size(images{i},1)*size(images{i},2));
end
d = size(images);

for ii=1:d
    trainData(ii,:) = images(ii);
end
class = [1 -1];
Data = str2double(trainData);
SVMStruct = svmtrain(Data,class);  // Here is where i get an error and cannot proceed any further beyond this
imageTwo = imresize(imageTwo, [200 200]);
imageTwo = reshape (imageTwo, 1, size(imageTwo,1)*size(imageTwo,2));
result = svmclassify(SVMStruct,imageTwo);