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OpenCV Python Tutorial For Beginners 40 – Mean Shift Object Tracking

Read Latest Articles Explaining successful designer, mobile phone, and Android Opencv in Java, OpenCV Python Tutorial For Beginners 40 – Mean Shift Object Tracking.

code – https://gist.github.com/pknowledge/70ea4e0aa30f728eb2a7235edd41b99a
In this video on OpenCV Python Tutorial For Beginners, we are going to see How to Use An object tracking method based on Mean Shift algorithm in OpenCV. Corner detection with Harris Corner Detection method using OpenCV and python is very easy. Shi Tomasi Corner Detector is the modification of Harris Corner Detection.

OpenCV is an image processing library created by Intel and later supported by Willow Garage and now maintained by Itseez. opencv is available on Mac, Windows, Linux. Works in C, C++, and Python.
it is Open Source and free. opencv is easy to use and install.

Starting with an overview of what the course will be covering, we move on to discussing morphological operations and practically learn how they work on images. We will then learn contrast enhancement using equalization and contrast limiting. Finally we will learn 3 methods to subtract the background from the video and implement them using OpenCV.

At the end of this course, you will have a firm grasp of Computer Vision techniques using OpenCV libraries. This course will be your gateway to the world of data science.

Feel the real power of Python and programming! The course offers you a unique approach of learning how to code by solving real world problems.

resources:
https://docs.opencv.org/4.0.0/d7/d8b/tutorial_py_face_detection.html

#ProgrammingKnowledge #ComputerVision #OpenCV
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OpenCV Python Tutorial For Beginners 40  - Mean Shift Object Tracking

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