稠密光流跟踪是将当前帧的所有像素点与前一帧比较，有变化的标记出来。对比的点比较多，不是对比变化的那几个特征点。所以速度较慢。没有稀疏光流的速度快。但有的时候效果比稀疏光流要好

代码演示如下

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//光流跟踪HFvoid QGuiVideo::btnLightFlowTrackHF_clicked(){  StopGrap();  QString fileName = QFileDialog::getOpenFileName(this, "open Video", "", "Video File(*.avi *.mp4 *.mp3)");  if (m_videoGrab.open(fileName.toStdString()))  {    m_nGrabModel = 6;    m_videoGrab.read(m_matGrab);    cvtColor(m_matGrab, m_matPrevGray, COLOR_BGR2GRAY);    m_timerGrabImage->start(10);  }}
//实时更新采集到的图片void QGuiVideo::updateGrabImage(){  if (!m_videoGrab.isOpened())  {    return;  }  if (m_videoGrab.read(m_matGrab))  {    if (m_matGrab.data)    {          Mat grab;      cvtColor(m_matGrab, grab, COLOR_BGR2RGB);//Qt中支持的是RGB图像, OpenCV中支持的是BGR              QImage grabimage = QImage((uchar*)(grab.data), grab.cols, grab.rows, QImage::Format_RGB888);      ui.graphicsViewVideo->recvShowPicSignal(grabimage);              if (!m_matPrevGray.empty())        {          Mat gray, flowResult, flowdata;          cvtColor(m_matGrab, gray, COLOR_BGR2GRAY);          calcOpticalFlowFarneback(m_matPrevGray, gray, flowdata, 0.5, 3, 15, 3, 5, 1.2, 0);          cvtColor(m_matPrevGray, flowResult, COLOR_GRAY2BGR);          for (int row = 0; row < flowResult.rows; row++)          {            for (int col = 0; col < flowResult.cols; col++)            {              const Point2f fxy = flowdata.at<Point2f>(row, col);              if (fxy.x > 1 || fxy.y > 1)              {                cv::line(flowResult, Point(col, row), Point(cvRound(col + fxy.x), cvRound(row + fxy.y)), Scalar(0, 255, 0), 2, 8, 0);                cv::circle(flowResult, Point(col, row), 2, Scalar(0, 0, 255), -1);              }            }          }
          QImage grabimage = QImage((uchar*)(flowResult.data), flowResult.cols, flowResult.rows, QImage::Format_RGB888);          ui.graphicsViewVideoPro->recvShowPicSignal(grabimage);         }   }}

效果如下：

光流跟踪HF_稠密光流跟踪

 

 

光流跟踪HF_稠密光流跟踪_02

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