diff --git a/modules/ocl/perf/perf_bgfg.cpp b/modules/ocl/perf/perf_bgfg.cpp
deleted file mode 100644
index 5bf406daf5..0000000000
--- a/modules/ocl/perf/perf_bgfg.cpp
+++ /dev/null
@@ -1,334 +0,0 @@
-/*M///////////////////////////////////////////////////////////////////////////////////////
-//
-//  IMPORTANT: READ BEFORE DOWNLOADING, COPYING, INSTALLING OR USING.
-//
-//  By downloading, copying, installing or using the software you agree to this license.
-//  If you do not agree to this license, do not download, install,
-//  copy or use the software.
-//
-//
-//                           License Agreement
-//                For Open Source Computer Vision Library
-//
-// Copyright (C) 2010-2013, Multicoreware, Inc., all rights reserved.
-// Copyright (C) 2010-2013, Advanced Micro Devices, Inc., all rights reserved.
-// Third party copyrights are property of their respective owners.
-//
-// @Authors
-//    Jin Ma, jin@multicorewareinc.com
-//
-// Redistribution and use in source and binary forms, with or without modification,
-// are permitted provided that the following conditions are met:
-//
-//   * Redistribution's of source code must retain the above copyright notice,
-//     this list of conditions and the following disclaimer.
-//
-//   * Redistribution's in binary form must reproduce the above copyright notice,
-//     this list of conditions and the following disclaimer in the documentation
-//     and/or other oclMaterials provided with the distribution.
-//
-//   * The name of the copyright holders may not be used to endorse or promote products
-//     derived from this software without specific prior written permission.
-//
-// This software is provided by the copyright holders and contributors as is and
-// any express or implied warranties, including, but not limited to, the implied
-// warranties of merchantability and fitness for a particular purpose are disclaimed.
-// In no event shall the Intel Corporation or contributors be liable for any direct,
-// indirect, incidental, special, exemplary, or consequential damages
-// (including, but not limited to, procurement of substitute goods or services;
-// loss of use, data, or profits; or business interruption) however caused
-// and on any theory of liability, whether in contract, strict liability,
-// or tort (including negligence or otherwise) arising in any way out of
-// the use of this software, even if advised of the possibility of such damage.
-//
-//M*/
-#include "perf_precomp.hpp"
-using namespace perf;
-using namespace cv;
-using namespace cv::ocl;
-
-static void cvtFrameFmt(std::vector<Mat>& input, std::vector<Mat>& output, int output_cn)
-{
-    for(int i = 0; i< (int)(input.size()); i++)
-    {
-        if(output_cn == 1)
-            cvtColor(input[i], output[i], COLOR_RGB2GRAY);
-        else
-            cvtColor(input[i], output[i], COLOR_RGB2RGBA);
-    }
-}
-///////////// MOG////////////////////////
-PERFTEST(mog)
-{
-    const string inputFile[] = {"768x576.avi", "1920x1080.avi"};
-    int cn[] = {1, 3};
-
-    float learningRate[] = {0.0f, 0.01f};
-
-    for(unsigned int idx = 0; idx < sizeof(inputFile)/sizeof(string); idx++)
-    {
-        VideoCapture cap(inputFile[idx]);
-        ASSERT_TRUE(cap.isOpened());
-
-        Mat frame;
-        int nframe = 5;
-        Mat foreground_cpu;
-        oclMat foreground_ocl;
-        std::vector<cv::Mat> frame_buffer_init;
-        std::vector<Mat> frame_buffer(nframe);
-        std::vector<oclMat> frame_buffer_ocl;
-        std::vector<Mat> foreground_buf_ocl;
-        std::vector<Mat> foreground_buf_cpu;
-        BackgroundSubtractorMOG mog_cpu;
-        cv::ocl::MOG d_mog;
-        for(int i = 0; i < nframe; i++)
-        {
-            cap >> frame;
-            ASSERT_FALSE(frame.empty());
-            frame_buffer_init.push_back(frame);
-        }
-
-        for(unsigned int i = 0; i < sizeof(learningRate)/sizeof(float); i++)
-        {
-            for(unsigned int j = 0; j < sizeof(cn)/sizeof(int); j++)
-            {
-                SUBTEST << frame.cols << 'x' << frame.rows << ".avi; "<<"channels: "<<cn[j]<<"; learningRate: "<<learningRate[i];
-                if(cn[j]==1)
-                    cvtFrameFmt(frame_buffer_init, frame_buffer, 1);
-                else
-                    frame_buffer=frame_buffer_init;
-
-                foreground_buf_cpu.clear();
-                CPU_ON;
-                for(int iter = 0; iter < nframe; iter++)
-                {
-                    mog_cpu(frame_buffer[iter], foreground_cpu, learningRate[i]);
-                    foreground_buf_cpu.push_back(foreground_cpu);
-                }
-                CPU_OFF;
-
-                WARMUP_ON;
-                d_mog(oclMat(frame_buffer[0]), foreground_ocl, learningRate[i]);
-                WARMUP_OFF;
-
-                frame_buffer_ocl.clear();
-                for(int iter =0; iter < nframe; iter++)
-                    frame_buffer_ocl.push_back(oclMat(frame_buffer[iter]));
-
-                GPU_ON;
-                for(int iter = 0; iter < nframe; iter++)
-                {
-                    d_mog(frame_buffer_ocl[iter], foreground_ocl, learningRate[i]);
-                }
-                GPU_OFF;
-
-                foreground_buf_ocl.clear();
-                GPU_FULL_ON;
-                for(int iter = 0; iter < nframe; iter++)
-                {
-                    d_mog(oclMat(frame_buffer[iter]), foreground_ocl, learningRate[i]);
-                    cv::Mat temp;
-                    foreground_ocl.download(temp);
-                    foreground_buf_ocl.push_back(temp);
-                }
-                GPU_FULL_OFF;
-
-                for(int iter = 0; iter < nframe; iter++)
-                    TestSystem::instance().ExpectedMatNear(foreground_buf_ocl[iter], foreground_buf_cpu[iter], 0.0);
-
-            }
-        }
-        cap.release();
-        d_mog.release();
-    }
-}
-
-///////////// MOG2////////////////////////
-PERFTEST(mog2)
-{
-    const string inputFile[] = {"768x576.avi", "1920x1080.avi"};
-    int cn[] = {1, 3, 4};
-
-    for(unsigned int idx = 0; idx < sizeof(inputFile)/sizeof(string); idx++)
-    {
-        cv::VideoCapture cap(inputFile[idx]);
-        ASSERT_TRUE(cap.isOpened());
-
-        cv::Mat frame;
-        int nframe = 5;
-        std::vector<cv::Mat> frame_buffer_init;
-        std::vector<cv::Mat> frame_buffer(nframe);
-        std::vector<cv::ocl::oclMat> frame_buffer_ocl;
-        std::vector<cv::Mat> foreground_buf_ocl;
-        std::vector<cv::Mat> foreground_buf_cpu;
-        cv::ocl::oclMat foreground_ocl;
-
-        for(int i = 0; i < nframe; i++)
-        {
-            cap >> frame;
-            ASSERT_FALSE(frame.empty());
-            frame_buffer_init.push_back(frame);
-        }
-        cv::ocl::MOG2 d_mog;
-
-        for(unsigned int j = 0; j < sizeof(cn)/sizeof(int); j++)
-        {
-            SUBTEST << frame.cols << 'x' << frame.rows << ".avi; "<<"channels: "<<cn[j];
-
-            if(cn[j] == 1)
-                cvtFrameFmt(frame_buffer_init, frame_buffer, 1);
-            else
-                frame_buffer=frame_buffer_init;
-
-            cv::BackgroundSubtractorMOG2 mog_cpu;
-            mog_cpu.set("detectShadows", false);
-            cv::Mat foreground_cpu;
-
-            foreground_buf_cpu.clear();
-            CPU_ON;
-            for(int iter = 0; iter < nframe; iter++)
-            {
-                mog_cpu(frame_buffer[iter], foreground_cpu);
-                foreground_buf_cpu.push_back(foreground_cpu);
-            }
-            CPU_OFF;
-
-            WARMUP_ON;
-            d_mog(oclMat(frame_buffer[0]), foreground_ocl);
-            WARMUP_OFF;
-
-            frame_buffer_ocl.clear();
-
-            for(int iter =0; iter < nframe; iter++)
-                frame_buffer_ocl.push_back(oclMat(frame_buffer[iter]));
-
-            GPU_ON;
-            for(int iter = 0; iter < nframe; iter++)
-            {
-                d_mog(frame_buffer_ocl[iter], foreground_ocl);
-            }
-            GPU_OFF;
-
-            foreground_buf_ocl.clear();
-
-            GPU_FULL_ON;
-            for(int iter = 0; iter < nframe; iter++)
-            {
-                d_mog(oclMat(frame_buffer[iter]), foreground_ocl);
-
-                cv::Mat temp1;
-                foreground_ocl.download(temp1);
-                foreground_buf_ocl.push_back(temp1);
-            }
-            GPU_FULL_OFF;
-
-            for(int iter = 0; iter < nframe; iter++)
-                TestSystem::instance().ExpectedMatNear(foreground_buf_ocl[iter], foreground_buf_cpu[iter], 0.0);
-
-        }
-        cap.release();
-        d_mog.release();
-    }
-}
-
-///////////// MOG2GetBackgroundImage////////////////////////
-PERFTEST(mog2_GetBackgroundImage)
-{
-    const string inputFile[] = {"768x576.avi", "1920x1080.avi"};
-    int cn[] = {3};
-
-    for(unsigned int idx = 0; idx < sizeof(inputFile)/sizeof(string); idx++)
-    {
-        cv::VideoCapture cap(inputFile[idx]);
-        ASSERT_TRUE(cap.isOpened());
-
-        cv::Mat frame;
-        cap >> frame;
-        ASSERT_FALSE(frame.empty());
-
-        int nframe = 5;
-        std::vector<cv::Mat> frame_buffer_init;
-        std::vector<cv::Mat> frame_buffer(nframe);
-        std::vector<cv::ocl::oclMat> frame_buffer_ocl;
-        std::vector<cv::Mat> foreground_buf_ocl;
-        std::vector<cv::Mat> foreground_buf_cpu;
-
-        for(int i = 0; i < nframe; i++)
-        {
-            cap >> frame;
-            ASSERT_FALSE(frame.empty());
-            frame_buffer_init.push_back(frame);
-        }
-
-        for(unsigned int j = 0; j < sizeof(cn)/sizeof(int); j++)
-        {
-            SUBTEST << frame.cols << 'x' << frame.rows << ".avi; "<<"channels: "<<cn[j];
-
-            frame_buffer = frame_buffer_init;
-            cv::Mat temp;
-
-            if(cn[j] == 1)
-                cvtFrameFmt(frame_buffer_init, frame_buffer, 1);
-            else
-                frame_buffer=frame_buffer_init;
-
-            cv::BackgroundSubtractorMOG2 mog_cpu;
-            cv::Mat foreground_cpu;
-            cv::Mat background_cpu;
-
-            mog_cpu(frame, foreground_cpu);
-            mog_cpu.getBackgroundImage(background_cpu);
-
-            foreground_cpu.release();
-            background_cpu.release();
-
-            cv::ocl::oclMat d_frame(frame);
-            cv::ocl::MOG2 d_mog;
-            cv::ocl::oclMat foreground_ocl;
-            cv::ocl::oclMat background_ocl;
-
-            for(int iter =0; iter < nframe; iter++)
-                frame_buffer_ocl.push_back(oclMat(frame_buffer[iter]));
-
-            CPU_ON;
-            for(int iter = 0; iter < nframe; iter++)
-            {
-                mog_cpu(frame_buffer[iter], foreground_cpu);
-                foreground_buf_cpu.push_back(foreground_cpu);
-            }
-            mog_cpu.getBackgroundImage(background_cpu);
-            CPU_OFF;
-
-            WARMUP_ON;
-            d_mog(d_frame, foreground_ocl);
-            WARMUP_OFF;
-
-            foreground_ocl.release();
-
-            GPU_ON;
-            for(int iter = 0; iter < nframe; iter++)
-            {
-                d_mog(frame_buffer_ocl[iter], foreground_ocl);
-            }
-            d_mog.getBackgroundImage(background_ocl);
-            GPU_OFF;
-
-            foreground_buf_ocl.clear();
-
-            cv::Mat temp1;
-            GPU_FULL_ON;
-            for(int iter = 0; iter < nframe; iter++)
-            {
-                d_mog(oclMat(frame_buffer[iter]), foreground_ocl);
-
-                foreground_ocl.download(temp1);
-                foreground_buf_ocl.push_back(temp1);
-            }
-            d_mog.getBackgroundImage(background_ocl);
-            GPU_FULL_OFF;
-
-            background_ocl.download(temp1);
-            TestSystem::instance().ExpectedMatNear(temp1, background_cpu, 0.0);
-        }
-    }
-}