Pedestrian Detection in CSharp

From Emgu CV: OpenCV in .NET (C#, VB, C++ and more)
Revision as of 21:22, 28 January 2011 by Emgucv (talk | contribs) (Updated source code with GPU processing)
Jump to navigation Jump to search

System Requirement

Component Requirement Detail
Emgu CV Version 2.0.1.0 Available from SVN only
Operation System Cross Platform


Source code

      static void Run()
      {
         Image<Bgr, Byte> image = new Image<Bgr, byte>("pedestrian.png");

         Stopwatch watch = Stopwatch.StartNew();
         Rectangle[] regions;

         //check if there is a compatible GPU to run pedestrian detection
         if (GpuInvoke.HasCuda) 
         {  //this is the GPU version
            using (GpuHOGDescriptor des = new GpuHOGDescriptor())
            using (GpuImage<Bgr, Byte> gpuImg = new GpuImage<Bgr,byte>(image))
            using (GpuImage<Bgra, Byte> gpuBgra = gpuImg.Convert<Bgra, Byte>())
            {
               des.SetSVMDetector(GpuHOGDescriptor.GetDefaultPeopleDetector());
               regions = des.DetectMultiScale(gpuBgra);
            }
         }
         else
         {  //this is the CPU version
            using (HOGDescriptor des = new HOGDescriptor())
            {
               des.SetSVMDetector(HOGDescriptor.GetDefaultPeopleDetector());
               regions = des.DetectMultiScale(image);
            }
         }
         watch.Stop();

         foreach (Rectangle pedestrain in regions)
         {
            image.Draw(pedestrain, new Bgr(Color.Red), 1);
         }

         ImageViewer.Show(
            image,
            String.Format("Pedestrain detection using {0} in {1} milliseconds.", 
               GpuInvoke.HasCuda ? "GPU" : "CPU", 
               watch.ElapsedMilliseconds));
      }

Result

Pedestrian Detection