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The software provided identifies a human hand from a video stream(webcam) by performing some analytical operations on the input video stream. Utilises the OpenCV 3.1 Library.

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Human Hand Detection utilising OpenCV

The software provided identifies a human hand from a video stream(webcam) by performing some analytical operations on the input video stream. It has been developed using the OpenCV 3.1 library within Visual Studio 2015 on Windows 10.

Usage:

It is necessary to adjust the HSV values to match the skin colour of the hand to be detected. To do this, edit the following lines in the code:

  // HSV Range Values
  int H_MIN = 0;
  int H_MAX = 20;
  int S_MIN = 10;
  int S_MAX = 150;
  int V_MIN = 60;
  int V_MAX = 255;

Furthermore, if you are utilising an external webcam, you will need to adjust the following line of code in order to match the device number of the webcam you wish to use:

capture.open(0);

0 is the default webcam. At the moment, the code is not utilising any enhancement features for noise reduction such as erode or dilate.

Screenshots:

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The software provided identifies a human hand from a video stream(webcam) by performing some analytical operations on the input video stream. Utilises the OpenCV 3.1 Library.

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