OpenCv for Python:

Detect Motion

1 Capture an image

2 Create blank images:

A. grayscale image with proper dimensions

B. 32f, 3 channel image

C. a capture clone we'll call image1

D. One to hold the result from the absDiff function. (absolute difference)

3 while loop to capture images......

4 grab new frame

A. I brightened image a bit first which helped

5. blur the image

6. take running average of frame: accumulateWeighted

7 swap running average result from step 6 to same bits as frame: convertScaleAbs

8 Take difference, built in OpenCV function to do a diff between two images.

9 convert to grayscale

10 Threshhold grayscale (using a low number)

11 Blur grayscale image

12 Threshhold grayscale again (using a high number)

13 find contours: findContours

14 Use contours to find significant blobs,

15 draw polygons of blobs

16 use dimensions of blobs to draw bounding boxes and center on original image