OpenCv for Python:

Tracking an object

Steps to do it properly.....

1 Capture live video from Webcam

2 Display live video

3 convert BGR to HSV

4 Display the HSV video

5 Click on HSV video and capture the HSV values at the location clicked, and a few other local values of the item you are going to track.

A. use a MouseCallback to print the HSV values.

6 Using Sliders create scalers for the min and max values you want to track

A. a Scalar will be a numpy array (np.array) that takes 3 values for minH, minS, and minV.......then a second scalar to catch the other three Max values

B. create 6 trackbars, createTrackbar with callback methods to set your six variables

7 Us the OpenCV inRange method to find the values between the scalars from HSV image and the result will go to a grayscale image (make it a binary image, white/black).

8 Dilate, erode the grayscale image to get a better representation of the object you are tracking.

9 Display the original image and the binary image where everything is black except for the object you are tracking. The tracked object will be white.