diff --git a/modules/tracking/src/tldModel.cpp b/modules/tracking/src/tldModel.cpp
index 59b621845..442b2fc5d 100644
--- a/modules/tracking/src/tldModel.cpp
+++ b/modules/tracking/src/tldModel.cpp
@@ -196,6 +196,11 @@ namespace cv
 		void TrackerTLDModel::integrateAdditional(const std::vector<Mat_<uchar> >& eForModel, const std::vector<Mat_<uchar> >& eForEnsemble, bool isPositive)
 		{
 			int positiveIntoModel = 0, negativeIntoModel = 0, positiveIntoEnsemble = 0, negativeIntoEnsemble = 0;
+			if ((int)eForModel.size() == 0) return;
+
+			int64 e1, e2;
+			double t;
+			e1 = getTickCount();
 			for (int k = 0; k < (int)eForModel.size(); k++)
 			{
 				double sr = detector->Sr(eForModel[k]);
@@ -226,6 +231,80 @@ namespace cv
 						detector->classifiers[i].integrate(eForEnsemble[k], isPositive);
 				}
 			}
+			e2 = getTickCount();
+			t = (e2 - e1) / getTickFrequency() * 1000;
+			printf("Integrate Additional: %fms\n", t);
+			/*
+			if( negativeIntoModel > 0 )
+			dfprintf((stdout, "negativeIntoModel = %d ", negativeIntoModel));
+			if( positiveIntoModel > 0 )
+			dfprintf((stdout, "positiveIntoModel = %d ", positiveIntoModel));
+			if( negativeIntoEnsemble > 0 )
+			dfprintf((stdout, "negativeIntoEnsemble = %d ", negativeIntoEnsemble));
+			if( positiveIntoEnsemble > 0 )
+			dfprintf((stdout, "positiveIntoEnsemble = %d ", positiveIntoEnsemble));
+			dfprintf((stdout, "\n"));*/
+		}
+
+		void TrackerTLDModel::ocl_integrateAdditional(const std::vector<Mat_<uchar> >& eForModel, const std::vector<Mat_<uchar> >& eForEnsemble, bool isPositive)
+		{
+			int positiveIntoModel = 0, negativeIntoModel = 0, positiveIntoEnsemble = 0, negativeIntoEnsemble = 0;
+			if ((int)eForModel.size() == 0) return;
+
+			int64 e1, e2;
+			double t;
+			e1 = getTickCount();
+
+			//Prepare batch of patches
+			int numOfPatches = (int)eForModel.size();
+			Mat_<uchar> stdPatches(numOfPatches, 225);
+			double *resultSr = new double[numOfPatches];
+			double *resultSc = new double[numOfPatches];
+			
+			uchar *patchesData = stdPatches.data;
+			for (int i = 0; i < numOfPatches; i++)
+			{
+				uchar *stdPatchData = eForModel[i].data;
+				for (int j = 0; j < 225; j++)
+					patchesData[225 * i + j] = stdPatchData[j];
+			}
+
+			//Calculate Sr and Sc batches
+			detector->ocl_batchSrSc(stdPatches, resultSr, resultSc, numOfPatches);
+
+			for (int k = 0; k < (int)eForModel.size(); k++)
+			{
+				double sr = resultSr[k];
+				if ((sr > THETA_NN) != isPositive)
+				{
+					if (isPositive)
+					{
+						positiveIntoModel++;
+						pushIntoModel(eForModel[k], true);
+					}
+					else
+					{
+						negativeIntoModel++;
+						pushIntoModel(eForModel[k], false);
+					}
+				}
+				double p = 0;
+				for (int i = 0; i < (int)detector->classifiers.size(); i++)
+					p += detector->classifiers[i].posteriorProbability(eForEnsemble[k].data, (int)eForEnsemble[k].step[0]);
+				p /= detector->classifiers.size();
+				if ((p > ENSEMBLE_THRESHOLD) != isPositive)
+				{
+					if (isPositive)
+						positiveIntoEnsemble++;
+					else
+						negativeIntoEnsemble++;
+					for (int i = 0; i < (int)detector->classifiers.size(); i++)
+						detector->classifiers[i].integrate(eForEnsemble[k], isPositive);
+				}
+			}
+			e2 = getTickCount();
+			t = (e2 - e1) / getTickFrequency() * 1000;
+			printf("Integrate Additional OCL: %fms\n", t);
 			/*
 			if( negativeIntoModel > 0 )
 			dfprintf((stdout, "negativeIntoModel = %d ", negativeIntoModel));
diff --git a/modules/tracking/src/tldModel.hpp b/modules/tracking/src/tldModel.hpp
index ea11d17d8..be9141a54 100644
--- a/modules/tracking/src/tldModel.hpp
+++ b/modules/tracking/src/tldModel.hpp
@@ -58,6 +58,7 @@ namespace cv
 			void setBoudingBox(Rect2d boundingBox){ boundingBox_ = boundingBox; }
 			void integrateRelabeled(Mat& img, Mat& imgBlurred, const std::vector<TLDDetector::LabeledPatch>& patches);
 			void integrateAdditional(const std::vector<Mat_<uchar> >& eForModel, const std::vector<Mat_<uchar> >& eForEnsemble, bool isPositive);
+			void ocl_integrateAdditional(const std::vector<Mat_<uchar> >& eForModel, const std::vector<Mat_<uchar> >& eForEnsemble, bool isPositive);
 			Size getMinSize(){ return minSize_; }
 			void printme(FILE* port = stdout);
 			Ptr<TLDDetector> detector;
diff --git a/modules/tracking/src/tldTracker.cpp b/modules/tracking/src/tldTracker.cpp
index f95b3e2f1..e9d10bd37 100644
--- a/modules/tracking/src/tldTracker.cpp
+++ b/modules/tracking/src/tldTracker.cpp
@@ -202,10 +202,10 @@ bool TrackerTLDImpl::updateImpl(const Mat& image, Rect2d& boundingBox)
         tldModel->integrateRelabeled(imageForDetector, image_blurred, detectorResults);
         //dprintf(("%d relabeled by nExpert\n", negRelabeled));
         pExpert.additionalExamples(examplesForModel, examplesForEnsemble);
-        tldModel->integrateAdditional(examplesForModel, examplesForEnsemble, true);
+        tldModel->ocl_integrateAdditional(examplesForModel, examplesForEnsemble, true);
         examplesForModel.clear(); examplesForEnsemble.clear();
         nExpert.additionalExamples(examplesForModel, examplesForEnsemble);
-        tldModel->integrateAdditional(examplesForModel, examplesForEnsemble, false);
+        tldModel->ocl_integrateAdditional(examplesForModel, examplesForEnsemble, false);
     }
     else
     {