detecting and labeling an object from an image

I am trying to detect and label some objects of interest from image sequences using feature matching, tried SURF, BRISK, MSER etc. until now but mostly either there are no matched features or I get only 1 or 2 matches with which I can't label the object (mean label all the pixels of that object). Can someone suggest something. Here is code for MSER features and sample images.

Ib=imread('ball.png'); %object image
Is=imread('image_000002.jpg'); % scene image

Ib=rgb2gray(Ib);
Is=rgb2gray(Is);

regionsb = detectMSERFeatures(Ib);
regionss = detectMSERFeatures(Is);

[featuresb, validPtsObjb] = extractFeatures(Ib, regionsb);
[featuress, validPtsObjs] = extractFeatures(Is, regionss);

bPairs = matchFeatures(featuresb, featuress);

matchedBPoints = regionsb(bPairs(:, 1), :);
matchedSPoints = regionss(bPairs(:, 2), :);
figure;
showMatchedFeatures(Ib, Is, matchedBPoints, matchedSPoints, 'montage');
title('Putatively Matched Points (Including Outliers)');

[tform, inlierBPoints, inlierSPoints] = estimateGeometricTransform(matchedBPoints, matchedSPoints, 'affine');

figure;
showMatchedFeatures(Ib, Is, inlierBPoints, inlierSPoints, 'montage');
title('Matched Points (Inliers Only)');

bPolygon = [1, 1;...                           % top-left
        size(Ib, 2), 1;...                 % top-right
        size(Ib, 2), size(Ib, 1);... % bottom-right
        1, size(Ib, 1);...                 % bottom-left
        1, 1];    

      newBPolygon = transformPointsForward(tform, bPolygon);

      figure;
  imshow(Is);
  hold on;
  line(newBPolygon(:, 1), newBPolygon(:, 2), 'Color', 'y');
  title('Detected Box');

[Image Analyst]

Is this one improved on the one you posted at virtually the same time? Which of the two discussions is the one you want to keep? I answered the other one.