diff --git a/apps/traincascade/haarfeatures.cpp b/apps/traincascade/haarfeatures.cpp
index a58fb45c901f11bfd5df9d28b5e66cb3cc7231b7..f2d18229e8b4d0533c8223f5108b8c8ae6ae3786 100644
--- a/apps/traincascade/haarfeatures.cpp
+++ b/apps/traincascade/haarfeatures.cpp
@@ -100,9 +100,14 @@ void CvHaarEvaluator::setImage(const Mat& img, uchar clsLabel, int idx)
     CV_DbgAssert( !sum.empty() && !tilted.empty() && !normfactor.empty() );
     CvFeatureEvaluator::setImage( img, clsLabel, idx);
     Mat innSum(winSize.height + 1, winSize.width + 1, sum.type(), sum.ptr<int>((int)idx));
-    Mat innTilted(winSize.height + 1, winSize.width + 1, tilted.type(), tilted.ptr<int>((int)idx));
     Mat innSqSum;
-    integral(img, innSum, innSqSum, innTilted);
+    if (((const CvHaarFeatureParams*)featureParams)->mode == CvHaarFeatureParams::ALL)
+    {
+        Mat innTilted(winSize.height + 1, winSize.width + 1, tilted.type(), tilted.ptr<int>((int)idx));
+        integral(img, innSum, innSqSum, innTilted);
+    }
+    else
+        integral(img, innSum, innSqSum);
     normfactor.ptr<float>(0)[idx] = calcNormFactor( innSum, innSqSum );
 }