Fixed Warnings #3

modules/tracking/src/tldDetector.cpp

@@ -159,7 +159,7 @@ namespace cv
 					{
 						LabeledPatch labPatch;
 						total++;
-						if (!patchVariance(intImgP, intImgP2, originalVariance, Point(dx * i, dy * j), initSize))
+						if (!patchVariance(intImgP, intImgP2, originalVariancePtr, Point(dx * i, dy * j), initSize))
 							continue;
 						if (ensembleClassifierNum(&blurred_img.at<uchar>(dy * j, dx * i)) <= ENSEMBLE_THRESHOLD)
 							continue;
@@ -209,7 +209,7 @@ namespace cv
 
 		// Computes the variance of subimage given by box, with the help of two integral
 		// images intImgP and intImgP2 (sum of squares), which should be also provided.
-		bool TLDDetector::patchVariance(Mat_<double>& intImgP, Mat_<double>& intImgP2, double *originalVariance, Point pt, Size size)
+		bool TLDDetector::patchVariance(Mat_<double>& intImgP, Mat_<double>& intImgP2, double *originalVariancePtr, Point pt, Size size)
 		{
 			int x = (pt.x), y = (pt.y), width = (size.width), height = (size.height);
 			CV_Assert(0 <= x && (x + width) < intImgP.cols && (x + width) < intImgP2.cols);
@@ -229,7 +229,7 @@ namespace cv
 			D = intImgP2(y + height, x + width);
 			p2 = (A + D - B - C) / (width * height);
 
-			return ((p2 - p * p) > VARIANCE_THRESHOLD * *originalVariance);
+			return ((p2 - p * p) > VARIANCE_THRESHOLD * *originalVariancePtr);
 		}
 
 	}

modules/tracking/src/tldDetector.hpp

@@ -79,7 +79,7 @@ namespace cv
 			std::vector<TLDEnsembleClassifier> classifiers;
 			std::vector<Mat_<uchar> > *positiveExamples, *negativeExamples;
 			std::vector<int> *timeStampsPositive, *timeStampsNegative;
-			double *originalVariance;
+			double *originalVariancePtr;
 
 			static void generateScanGrid(int rows, int cols, Size initBox, std::vector<Rect2d>& res, bool withScaling = false);
 			struct LabeledPatch

modules/tracking/src/tldModel.cpp

@@ -60,7 +60,7 @@ namespace cv
 			detector->negativeExamples = &negativeExamples;
 			detector->timeStampsPositive = &timeStampsPositive;
 			detector->timeStampsNegative = &timeStampsNegative;
-			detector->originalVariance = &originalVariance_;
+			detector->originalVariancePtr = &originalVariance_;
 
 			//Calculate the variance in initial BB
 			originalVariance_ = variance(image(boundingBox));