Description
Object Tracking using Python and OpenCV is a training course on object tracking using the Python programming language and the OpenCV library, published by Udemy Academy. This training course is completely project-oriented and during its training process, you will use more than 12 different algorithms and techniques to detect objects in videos and webcams. Object tracking is one of the sub-branches of computer vision, the purpose of which is to track and follow objects in many consecutive frames of a video file or live broadcast of a webcam or CCTV camera. Among the most important applications of object tracking, we can mention video protection and security systems of buildings and various administrative units. These systems can detect suspicious objects and movements and notify you as soon as possible.
Many applications can be imagined for tracking objects, including commercial and non-security ones, traffic cameras and determining the speed of cars and motorcycles, and even checking the movements and analyzing the tactics implemented by football players.
What you will learn in the Object Tracking using Python and OpenCV training course:
- Tracking objects and their movements in live cameras, webcams and video files
- Basic principles of Python programming language
- OpenCV library and how to install, configure and work with it
- Different tracking algorithms and applications and unique features of each of them
- Differences and distinction between object detection and object tracking
- And …
Course details
Publisher: Yudmi
Instructor: Jones Granatyr, Dalton Luiz Vargas and IA Expert Academy
English language
Education level: introductory
Number of courses: 33
Training duration: 4 hours and 44 minutes
Course topics on 2/2022
Object Tracking using Python and OpenCV course prerequisites
Programming logic
Basic Python programming
Course images
Video introducing the course Object Tracking using Python and OpenCV
Installation guide
After Extract, view with your favorite Player.
English subtitle
Quality: 720p
download link
Password file(s): www.downloadly.ir
Size
2 GB
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