Object Tracking using Python and OpenCV

Implement 12 different algorithms for tracking objects in videos and webcam!

4.48 (284 reviews)
Udemy
platform
English
language
Data Science
category
instructor
Object Tracking using Python and OpenCV
2,459
students
5 hours
content
Apr 2023
last update
$74.99
regular price

What you will learn

Track objects from videos and from the webcam using Python and OpenCV

Understand the basic intuition about tracking algorithms

Implement 12 tracking algorithms

Understand the differences between object detection and object tracking

Description

Object tracking is a subarea of Computer Vision which aims to locate an object in successive frames of a video. An example of application is a video surveillance and security system, in which suspicious actions can be detected. Other examples are the monitoring of traffic on highways and also the analysis of the movement of players in a soccer match! In this last example, it is possible to trace the complete route that the player followed during the match.

To take you to this area, in this course you will learn the main object tracking algorithms using the Python language and the OpenCV library! You will learn the basic intuition about 12 (twelve) algorithms and implement them step by step! At the end of the course you will know how to apply tracking algorithms applied to videos, so you will able to develop your own projects. The following algorithms will be covered: Boosting, MIL (Multiple Instance Learning), KCF (Kernel Correlation Filters), CSRT (Discriminative Correlation Filter with Channel and Spatial Reliability), MedianFlow, TLD (Tracking Learning Detection), MOSSE (Minimum Output Sum of Squared) Error), Goturn (Generic Object Tracking Using Regression Networks), Meanshift, CAMShift (Continuously Adaptive Meanshift), Optical Flow Sparse, and Optical Flow Dense.

You'll learn the basic intuition about all algorithms and then, we'll implement and test them using PyCharm IDE. It's important to emphasize that the goal of the course is to be as practical as possible, so, don't expect too much from the theory since you are going to learn only the basic aspects of each algorithm. The purpose of showing all these algorithms is for you to have a view that different algorithms can be used according to the types of applications, so you can choose the best ones according to the problem you are trying to solve.

Content

Introduction

Course content
Course materials

Object tracking

Object tracking vs Object detection
Object tracking algorithms - intuition
Object tracking algorithms - additional materials
Boosting and MIL algorithms
KCF and CSRT algorithms
MedianFlow, TLD, MOSSE and Goturn algorithms
Installing Anaconda and PyCharm
Tracking a single object 1
Tracking a single object 2
Tracking a single object 3
Tracking a single object 4
Tracking multiple objects 1
Tracking multiple objects 2
Tracking multiple objects 3
Tracking objects with Goturn
Object detection
Object detection + object tracking 1
Object detection + object tracking 2
Meanshift algorithm - intuition
Meanshift algorithm - implementation 1
Meanshift algorithm - implementation 2
Meanshift algorithm - implementation 3
CAMShift algorithm - intuition
CAMShift algorithm - implementation
Optical flow algorithm (sparse) – intuition
Optical flow algorithm (sparse) – implementation 1
Optical flow algorithm (sparse) – implementation 2
Optical flow algorithm (sparse) – implementation 3
Optical flow dense algorithm – intuition
Optical flow dense algorithm – implementation

Final remarks

Final remarks

Reviews

Ron
September 18, 2023
Not super clear what the 2nd half of unit 3 pertains to. Was it about all tracking algorithms in general? Need to introduce what you are talking about before going into the material.
Vitor
September 5, 2023
Very good introductory material, but most of the algorithms are explained very superficially. Still, you can build a working tracking code really fast.
Ayfer
September 3, 2023
Although this course gives an overview about different OpenCV object tracking algorithms, it was very helpful for me to understand the basics. The codes explanation in the course videos was sufficient in detail for me, as a beginner in OpenCV, to understand clearly the relevant algorithms functioning.
Ashish
August 16, 2023
This is a practical course to explain the different object tracking algorithms. Some bit of theory can be added more in the course.
Emilia
July 8, 2023
Great course, at first I was unsure but as I went through it the explanations are simple enough to Object Tracking using Python and OpenCV. I would highly recommend this course.
Lazaro
July 8, 2023
Very concentrated course. From the first lecture, you already know how to Object Tracking using Python and OpenCV. Very Professional. Recommend for everyone
Iris
July 8, 2023
This is a great course, everything is very clear and works perfectly. This course really exceeded my expectations.
Ariah
July 8, 2023
This online course is top-notch. Excellent, the approach is easy to understand, and the author is incredibly gifted and intelligent.
Adelyn
July 7, 2023
It is a very useful course, mainly due to the updated content and the clarity of Object Tracking using Python and OpenCV.
Kiana
July 7, 2023
Thank you very much! This course is the best option for me to commence learning Object Tracking using Python and OpenCV.
Ian
July 7, 2023
Awesome, structured object tracking using Python and OpenCV course! Everything is well explained, the course is clear and easy to follow.
Dorothy
July 6, 2023
There are clear explanations with lots of practical examples! Very helpful for learning the basics of Object Tracking using Python and OpenCV.
Andria
July 6, 2023
Amazing course. provides a thorough introduction to OpenCV that prepares you well for further investigation.
Randy
June 29, 2023
Extremely useful course! The mentor is a great instructor! Object Tracking using Python and OpenCV the content is very useful and updated!! Totally recommended!
Agustín
February 7, 2022
Como siempre un excelente instructor. Recomiendo este curso, independientemente de su experiencia en este tema.

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4382164
udemy ID
11/4/2021
course created date
11/7/2021
course indexed date
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