In this video on OpenCV Python Tutorial For Beginners, I am going to show How to Find Motion Detection and Tracking Using Opencv Contours. We will see what contours are. we will Learn to find contours, draw contours, we will see these functions : cv2.findContours(), cv2.drawContours(). In this project we are detecting and tracking motion using live sample video.
The function retrieves contours from the binary image. The contours are a useful tool for shape analysis and object detection and recognition. Gist of code I used in this video (Motion Tracking and Detection Tutorial ) – https://gist.github.com/pknowledge/623515e8ab35f1771ca2186630a13d14 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. #ProgrammingKnowledge #ComputerVision #OpenCV
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