Colour based object Tracking with OpenCV

In many applications, you need to track an object. One simple method is color based tracking. I have developed a simple tool for that with OpenCV. All you have to do is just to adjust the High and Low values of HSV slider in the left window till you filter the image and you only see your desired object, here I’m tracking a green pen, a blue water container, and a red bottle top. The code is pretty easy and straight forward but I found different pieces of the codes for each part all over the internet and I change them and adapted them together so they can do the job.

The code on my GitHub account.

1
Leave a Reply

avatar
1 Comment threads
0 Thread replies
0 Followers
 
Most reacted comment
Hottest comment thread
0 Comment authors
Human detection on mobile camera using HOG and tracking them using Kalman filter | Tutorials on Robotics for ROS developers Recent comment authors

This site uses Akismet to reduce spam. Learn how your comment data is processed.

  Subscribe  
newest oldest most voted
Notify of
trackback

[…] (adsbygoogle = window.adsbygoogle || []).push({ google_ad_client: "ca-pub-5298729364790130", enable_page_level_ads: true }); In the next, I used Kalman filter to track the detected human. To check the accuracy of my work, I created a ground truth based on the color tracker. You can read and download a similar one on my website here. […]