This school project shows hand gesture recognition.
Python + opencv
- gesture_recognition_in_range.py
- User select part of hand
- Convert selected part to HSV
- Get minimum and maximum values for every HSV channel
- Use these values in function inRange()
- Apply morphological transformations: opening, closing
- Use contours, convexHull and convexityDeffects for finger counting
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hand_detection_absdiff.py
- Capture background without hand
- Convert background to gray
- Convert every frame to gray
- Use absdiff() function to substarct background
- Threshold (value 20 have best results)
- Morphological transformations: opening, closing, dilation
