Object-Tracking-based-on-Color

object tracking based on color using HSV (Hue Saturation Value)

Formulas used here

• Minimum Enclosing Circle :

  ((x, y), radius) = cv2.minEnclosingCircle( countourArea )
  

• Moments to find center of the Area :

  Image moments help you to calculate some features like center of mass of the object, area of the object etc.

  M = cv2.moments(c)

  center = (int(M["m10"] / M["m00"]), int(M["m01"] / M["m00"]))

This Color Based Object Tracking is Based on SELF-DRIVING-CONCEPT

• If the particular Color is goes long, then it shows "Front"

• If the particular Color is comes close, then it shows "Stop"

• If the particular Color is goes at the right corner, then it shows "Right"

• If the particular Color is goes at the left corner, then it shows "Left"

Hue Saturation Value :

• HSV Color Scale: The HSV (which stands for Hue Saturation Value) scale provides a numerical readout of your image that corresponds to the color names contained therein. Hue is measured in degrees from 0 to 360. For instance, cyan falls between 181–240 degrees, and magenta falls between 301–360 degrees.

• To run the colorCalibrationforHSV file and get your color values and use it in main code

Steps :

 * Reading frame from camera
 
 * pre-processing image
 
 * Finding contours
 
 * Drawing minimum enclosing circle
 
 * Finding centre of contour Area 
 
 * Drawing circle & centre
 
 * Direction based on radius & position
 
 * Run the code and display the output

Output :

• To see the output video, then go to the media file and check it out.