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OpenCV 4.5 simple optical flow GPU tutorial cuda::FarnebackOpticalFlow

This OpenCV tutorial is a very simple code example of GPU Cuda optical flow in OpenCV written in c++. The configuration of the project, code, and explanation are included for farneback Optical Flow method. Farneback algorithm is a dense method that is used to process all the pixels in the given image. The dense methods are slower but more accurate as all the pixels of the image are processed. In the following example, I am displaying just a few pixes based on a grid. I am not displaying all the pixes. In the opposite to dense method the sparse method like Lucas Kanade using just a selected subset of pixels. They are faster. Both methods have specific applications. Lucas-Kanade is widely used in tracking. The farneback can be used for the analysis of more complex movement in image scene and furder segmentation based on these changes. As dense methods are slightly slower, the GPU and Cuda implementation can lead to great performance improvements to calculate optical flow for all pixels o

opencv IP camera video stream capture and people detection

In that tutorial, I just want to introduce how to read the more video streams in threads. In some cases, you need to have FFMPEG installed. Hopefully, Windows nuger default installation in Visual Studio should be enough. Let me know if there is any problem. Opencv video stream rtsp mjpeg

Opencv environment for tutorial

Just use the installation of Opencv in Visual Studio 2015 by Nuget packages. In package console just type and wait for the message that your opencv is successfully installed in your project. More info in tutorial Here
Type to package console
PM>  Install-Package opencvdefault

On the Linux distribution, i can recommend my tutorial Here. In the case of Debian like packages.

Opencv video stream verification

http://IP:PORT/mjpeg/video.mjpg?counter
rtsp://IP:PORT/various url

Find your IP camera model on http://www.ispyconnect.com
Select for example for Axis and the model..
There is various stream url for each of this. There is no standard way of URL format.
Find your for the camera and model.
rtsp://IP:PORT/axis-cgi/mjpg/video.cgi
http://IP:PORT/mjpg/video.mjpg

And milion of others different kind of URL formats.

Opencv tutorial code IP camera pseudo code

There is 3 function.. 
First of all, the main function at the end, where are established 2 threads to read the camera stream..

In Main
  • Thread call the stream function for both camera with different IP camera URL                       thread cam1(stream, "http://xxxxxxxR");
  • To run the function stream inside the thread with url as parametr use.                       cam1.join();
void stream
  • Capture video from url strCamera VideoCapture cap(strCamera) 
  • Fill the frame from cap  cap >> frame;
  • Detect people in camera detect(frame, strCamera);
void detect

Opencv C++ IP camera code


#include <iostream>
#include <thread>
#include "opencv2/opencv.hpp"
#include <vector>
using namespace std;
using namespace cv;
void detect(Mat imgString strCamera) {
  string cascadeName1 = "haar_cascade_for_people_detection.xml";
  CascadeClassifier detectorBody;
  bool loaded1 = detectorBody.load(cascadeName1);
  Mat original;
  img.copyTo(original);
  vector human;
  cvtColor(img, img, CV_BGR2GRAY);
  equalizeHist(img, img);
  detectorBody.detectMultiScale(img, human, 1.120 | 1Size(4080), Size(400,480 ));
  if (human.size() > 0
    {
      for (int gg = 0; gg < human.size(); gg++) 
      {
      rectangle(original, human[gg].tl(), human[gg].br(), Scalar(00255), 280);
      }
    }
  imshow("Detect " + strCamera, original);
  int key6 = waitKey(40);
//End of the detect
}
void stream(String strCamera) {
VideoCapture cap(strCamera);
 if (cap.isOpened()) { 
      while (true) {
        Mat frame;
        cap >> frame; 
        resize(frame, frame, Size(640480));  
        detect(frame, strCamera);
     }
   }
}
int main() {
    thread cam1(stream, "http://xxxxxxxR");
    thread cam2(stream, "http://xxxxxxxR");
    cam1.join();
    cam2.join();
    return 0;
}

Comments

  1. Replies
    1. Thank you. It is important sometime to have install ffmpe.
      For camera reading I am using threads to lock the resources. for example for 3 4 ip address..

      #include
      This call function stream.
      thread cam1(stream, "http://90.1xxxxxxxxxxxjpg",1);
      cam1.join();

      Inside stream there is a standard reading loop of opencvg input sources
      void stream(String strCamera, int mode) {
      }




      Delete
  2. is this works with WiFi ip camera

    ReplyDelete
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