CE264-Computer Vision

🏫 Repository for project code of CE264 Computer Vision

Application of Hand-gesture Recognition Technology Using OpenCV

The following is draft flow chart of project program:

Some material for each subtasks

• Row Image Input

  • GUI feature in OpenCV

• Blur, Skin Detection, Morphology, Background Subtraction

  • Change BGR to HSV or YCrCb
  • Do medianBlur
  • Do erode and dilate

• Hand Contour Extraction

  • Draw Contour and Find Convex Hull or Convexity Defects

• Gesture Recognition

  • Find out how many fingers show up

• Hand Position Tracking

  • [Dynamically change center of ROI] (http://docs.opencv.org/3.0-last-rst/doc/py_tutorials/py_imgproc/py_contours/py_contour_features/py_contour_features.html#contour-features)

• Input Control

  • PyAutoGUI
  • PyUserInput

  Note: PyAutoGUI work well in Windows system for me. Ubuntu: got issue (invisible cursor move)

  For install PyAutoGUI on Linux (for python 2.x):

  # install x-lib and scrot (pip not work for me)
  $ sudo apt-get install  python-xlib
  $ sudo apt-get install scrot
  
  # skip install python-tk and python2.x-dev (already had)
  # instal Pyautogui
  $ sudo pip install pyautogui

  For install PyAutoGui on Window (for python 2.x): Open cmd.exe

  # Install pillow first (PIL module may cause error during install)
  C:\Python27\Scripts\pip.exe install pillow  
  C:\Python27\Scripts\pip.exe install pyautogui
  

  Turn off Windows UAC

Reference

• Hui-Shyong Yeo; Byung-Gook Lee; Hyotaek Lim, "Hand tracking and gesture recognition system for human-computer interaction using low-cost hardware", Multimedia Tools and Applications, Vol. 74, Issue 8, Apr. 2015, On page(s) 2687-2715.

• http://vipulsharma20.blogspot.com/2015/03/gesture-recognition-using-opencv-python.html