Real-Time-Object-Tracker

This is a real-time object recognition project developed using Python Programming Language

How it works

• First, it starts off the webcam for video capture
• Now we extract frame by frame from the image and do analysis on it
• (Note we are analyzing frames in grayscale)
• Now we have a loaded training image that will be used to track
• Since we got the tracking image now we will compare it with each frame we will get from the video
• As the pixels of tracking photo matches with certain pixels on the frame, we will draw a rectangle over there at ROI (Region of Interest)
• Hence as soon as we got a frame and object is recognized there will be a new rectangle formed.

For your Image

• Add your own image into the images folder
• Name your image like "pic" + number + ".png"
• And give reference of it into the python code
• Change Number of images in the code & Done!
• Run the code :)

Features

• Track as many as images at a same time
• Change the threshold as on your own requirement as see the result