diff --git a/modules/objdetect/include/opencv2/objdetect/objdetect.hpp b/modules/objdetect/include/opencv2/objdetect/objdetect.hpp
index 43190fc776..156fa87b6e 100644
--- a/modules/objdetect/include/opencv2/objdetect/objdetect.hpp
+++ b/modules/objdetect/include/opencv2/objdetect/objdetect.hpp
@@ -128,7 +128,7 @@ CVAPI(CvSeq*) cvHaarDetectObjects( const CvArr* image,
                      CvHaarClassifierCascade* cascade,
                      CvMemStorage* storage, double scale_factor CV_DEFAULT(1.1),
                      int min_neighbors CV_DEFAULT(3), int flags CV_DEFAULT(0),
-                     CvSize min_size CV_DEFAULT(cvSize(0,0)));
+                     CvSize min_size CV_DEFAULT(cvSize(0,0)), CvSize max_size CV_DEFAULT(cvSize(0,0)));
 
 /* sets images for haar classifier cascade */
 CVAPI(void) cvSetImagesForHaarClassifierCascade( CvHaarClassifierCascade* cascade,
@@ -331,7 +331,8 @@ public:
                            CV_OUT vector<Rect>& objects,
                            double scaleFactor=1.1,
                            int minNeighbors=3, int flags=0,
-                           Size minSize=Size());
+                           Size minSize=Size(),
+                           Size maxSize=Size());
  
     bool setImage( Ptr<FeatureEvaluator>&, const Mat& );
     int runAt( Ptr<FeatureEvaluator>&, Point );
diff --git a/modules/objdetect/src/cascadedetect.cpp b/modules/objdetect/src/cascadedetect.cpp
index 56ab3568f8..2510408c6d 100644
--- a/modules/objdetect/src/cascadedetect.cpp
+++ b/modules/objdetect/src/cascadedetect.cpp
@@ -849,7 +849,7 @@ struct getRect { Rect operator ()(const CvAvgComp& e) const { return e.rect; } }
 
 void CascadeClassifier::detectMultiScale( const Mat& image, vector<Rect>& objects,
                                           double scaleFactor, int minNeighbors,
-                                          int flags, Size minSize )
+                                          int flags, Size minSize, Size maxSize )
 {
     const double GROUP_EPS = 0.2;
     
@@ -870,7 +870,10 @@ void CascadeClassifier::detectMultiScale( const Mat& image, vector<Rect>& object
         std::transform(vecAvgComp.begin(), vecAvgComp.end(), objects.begin(), getRect());
         return;
     }
-    
+
+    if( maxSize.height == 0 || maxSize.width == 0 )
+        maxSize = image.size();
+
     objects.clear();
     
     Mat img = image, imgbuf(image.rows+1, image.cols+1, CV_8U);
@@ -893,6 +896,8 @@ void CascadeClassifier::detectMultiScale( const Mat& image, vector<Rect>& object
         
         if( sz1.width <= 0 || sz1.height <= 0 )
             break;
+        if( winSize.width > maxSize.width || winSize.height > maxSize.height )
+            break;
         if( winSize.width < minSize.width || winSize.height < minSize.height )
             continue;
         
diff --git a/modules/objdetect/src/haar.cpp b/modules/objdetect/src/haar.cpp
index e6563ba26b..def50a8ce1 100644
--- a/modules/objdetect/src/haar.cpp
+++ b/modules/objdetect/src/haar.cpp
@@ -986,7 +986,7 @@ CV_IMPL CvSeq*
 cvHaarDetectObjects( const CvArr* _img,
                      CvHaarClassifierCascade* cascade,
                      CvMemStorage* storage, double scaleFactor,
-                     int minNeighbors, int flags, CvSize minSize )
+                     int minNeighbors, int flags, CvSize minSize, CvSize maxSize )
 {
     const double GROUP_EPS = 0.2;
     CvMat stub, *img = (CvMat*)_img;
@@ -1003,6 +1003,12 @@ cvHaarDetectObjects( const CvArr* _img,
     bool findBiggestObject = (flags & CV_HAAR_FIND_BIGGEST_OBJECT) != 0;
     bool roughSearch = (flags & CV_HAAR_DO_ROUGH_SEARCH) != 0;
 
+    if( maxSize.height == 0 || maxSize.width == 0 )
+    {
+        maxSize.height = img->rows;
+        maxSize.width = img->cols;
+    }
+
     if( !CV_IS_HAAR_CLASSIFIER(cascade) )
         CV_Error( !cascade ? CV_StsNullPtr : CV_StsBadArg, "Invalid classifier cascade" );
 
@@ -1070,6 +1076,8 @@ cvHaarDetectObjects( const CvArr* _img,
 
             if( sz1.width <= 0 || sz1.height <= 0 )
                 break;
+            if( winSize.width > maxSize.width || winSize.height > maxSize.height )
+                break;
             if( winSize.width < minSize.width || winSize.height < minSize.height )
                 continue;