Merge pull request #11060 from juanecito:2.4

* Thread-safe version of sparse function in cv::gpu::PyrLKOpticalFlow
class. The new function name is sparse_multi

* Thread-safe sparse function in cv::gpu::PyrLKOpticalFlow. Tests

* Thread-safe sparse function in cv::gpu::PyrLKOpticalFlow class.

Add intel_TBB conditional compilation

modules/gpu/perf/perf_video.cpp

@@ -303,6 +303,88 @@ PERF_TEST_P(ImagePair_Gray_NPts_WinSz_Levels_Iters, Video_PyrLKOpticalFlowSparse
     }
 }
 
+//////////////////////////////////////////////////////
+// PyrLKOpticalFlowSparseMulti
+
+#ifdef HAVE_TBB
+
+DEF_PARAM_TEST(ImagePair_Gray_NPts_WinSz_Levels_Iters, pair_string, bool, int, int, int, int);
+
+PERF_TEST_P(ImagePair_Gray_NPts_WinSz_Levels_Iters, Video_PyrLKOpticalFlowSparseMulti,
+            Combine(Values<pair_string>(make_pair("gpu/opticalflow/frame0.png", "gpu/opticalflow/frame1.png")),
+                    Bool(),
+                    Values(8000),
+                    Values(21),
+                    Values(1, 3),
+                    Values(1, 30)))
+{
+    declare.time(20.0);
+
+    const pair_string imagePair = GET_PARAM(0);
+    const bool useGray = GET_PARAM(1);
+    const int points = GET_PARAM(2);
+    const int winSize = GET_PARAM(3);
+    const int levels = GET_PARAM(4);
+    const int iters = GET_PARAM(5);
+
+    const cv::Mat frame0 = readImage(imagePair.first, useGray ? cv::IMREAD_GRAYSCALE : cv::IMREAD_COLOR);
+    ASSERT_FALSE(frame0.empty());
+
+    const cv::Mat frame1 = readImage(imagePair.second, useGray ? cv::IMREAD_GRAYSCALE : cv::IMREAD_COLOR);
+    ASSERT_FALSE(frame1.empty());
+
+    cv::Mat gray_frame;
+    if (useGray)
+        gray_frame = frame0;
+    else
+        cv::cvtColor(frame0, gray_frame, cv::COLOR_BGR2GRAY);
+
+    cv::Mat pts;
+    cv::goodFeaturesToTrack(gray_frame, pts, points, 0.01, 0.0);
+
+    if (PERF_RUN_GPU())
+    {
+        const cv::gpu::GpuMat d_pts(pts.reshape(2, 1));
+
+        cv::gpu::PyrLKOpticalFlow d_pyrLK;
+        d_pyrLK.winSize = cv::Size(winSize, winSize);
+        d_pyrLK.maxLevel = levels - 1;
+        d_pyrLK.iters = iters;
+
+        const cv::gpu::GpuMat d_frame0(frame0);
+        const cv::gpu::GpuMat d_frame1(frame1);
+        cv::gpu::GpuMat nextPts;
+        cv::gpu::GpuMat status;
+
+        cv::gpu::Stream stream;
+        TEST_CYCLE()
+        {
+            d_pyrLK.sparse_multi(d_frame0, d_frame1, d_pts, nextPts, status, stream);
+            stream.waitForCompletion();
+        }
+
+        GPU_SANITY_CHECK(nextPts);
+        GPU_SANITY_CHECK(status);
+    }
+    else
+    {
+        cv::Mat nextPts;
+        cv::Mat status;
+
+        TEST_CYCLE()
+        {
+            cv::calcOpticalFlowPyrLK(frame0, frame1, pts, nextPts, status, cv::noArray(),
+                                     cv::Size(winSize, winSize), levels - 1,
+                                     cv::TermCriteria(cv::TermCriteria::COUNT + cv::TermCriteria::EPS, iters, 0.01));
+        }
+
+        CPU_SANITY_CHECK(nextPts);
+        CPU_SANITY_CHECK(status);
+    }
+}
+
+#endif // HAVE_TBB
+
 //////////////////////////////////////////////////////
 // PyrLKOpticalFlowDense