Description
Object Tracking using Python and OpenCV is an object tracking course using the Python programming language and the OpenCV library, published by Udemy Academy. This course is completely project oriented and during the training process it uses over 12 different algorithms and techniques to track objects in videos and webcams. Object tracking is a subset of computer vision that aims to track and follow objects in successive frames of a video file or live broadcast or webcam or camera. video surveillance. One of the most important applications of object tracking is in video surveillance and security systems and various desktop units. These systems can detect suspicious movements and alert you as quickly as possible.
Many applications can be considered for tracking objects, including commercial and non-security items, such as traffic cameras and speeding cars and motorcycles, or even motion monitoring and analysis of tactics implemented by football players.
What You’ll Learn in Object Tracking Using Python and OpenCV
- Tracking objects and their movements in live streaming cameras, webcams and video files
- Python Programming Language Basics
- OpenCV library and how to install, configure and use it
- Different tracking algorithms and the unique applications and features of each
- Differences and points of difference between object detection and object tracking
- And…
Course Specifications
Editor: Udemy
Instructors: Dalton Luiz Vargas, Jones Granatyr and IA Expert Academy
French language
Beginner level
Number of lessons: 33
Duration: 4 hours and 44 minutes
Course themes for 2022/2
Object tracking using Python and OpenCV prerequisites
programming logic
Basic Python Programming
Pictures
Introductory video to object tracking using Python and OpenCV
installation guide
After the clip, watch with your favorite reader.
english subtitles
Quality: 720p
Download links
File password(s): free download software
size
2 GB