Object Tracking and Detection Using OpenCV

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Deep LearningObject-Tracking-and-Detection-Using-OpenCV
Overview

Object-Tracking-and-Detection-Using-OpenCV

Object tracking is one such application of computer vision where an object is detected in a video, otherwise interpreted as a set of frames, and the object’s trajectory is estimated. For instance, you have a video of a baseball match, and you want to track the ball’s location constantly throughout the video.

OpenCV-based object tracking

Object tracking using OpenCV is a popular method that is extensively used in the domain. OpenCV has a number of built-in functions specifically designed for the purpose of object tracking. Some object trackers in OpenCV include MIL, CSRT, GOTURN, and MediandFlow. Selecting a specific tracker depends on the application you are trying to design. Each tracker has its advantages and disadvantages, and a single type of tracker is not desired in all the applications.

Owner
Happy N. Monday
Wavelet Transform | Machine Learning | Computer Vision | Deep Learning | Image Processing | AI
Happy N. Monday
GitHub Repository
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