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Object Detection and Tracking using Computer Vision
In this event, Matt and Megan show you how to perform one or the more difficult task in computer vision: tracking multiple objects.
They will walk through an example from the new Coursera specialization, Computer Vision for Engineering and Science. The code and video used in the example are available to those who sign up for the specialization.
Date & Time: May 11, 2022 at 11:00 am EDT (see time in your time zone)
https://www.youtube.com/watch?v=JTVaCi6KNAc
AI
22%
Wireless Connectivity and Radar
4%
Autonomous Systems and Robotics
15%
Cloud, Enterprise, and DevOps
2%
Algorithms and Data Analytics
17%
Modeling and Simulation
36%
179 个投票
<= 6 GB
10%
7–12 GB
26%
13–22 GB
34%
23–46 GB
19%
47–90 GB
6%
>= 91 GB
6%
15925 个投票
Yes, the available tools are great
12%
Yes, the available tools need help
6%
No, but I would like to
14%
No, it is not important to me
7%
What is test-driven development?
61%
1955 个投票
Always
12%
Sometimes
11%
In the past, but not now
3%
Never
20%
What is Simulink Project?
53%
2443 个投票
Always
8%
Sometimes
9%
In the past, but not now
2%
Never
23%
What is MATLAB Project?
58%
4533 个投票
Absolute path
14%
Relative inside the top project
48%
Relative outside the top project
19%
All the above
19%
21 个投票
Beginner, Novice, still learning
50%
Adequate, I can get by easily
34%
Proficient / fluent can do anything
12%
Grand Master, one of the very best
3%
2510 个投票
AI, Robotics, Autonomous Systems: MATLAB EXPO is coming up soon and it is time to register. It's free and open to everyone. You will have the opportunity to connect with engineers, scientists, educators, and researchers, and new ideas.
disp('It is time to register for MATLAB EXPO 2023!');
Featured Sessions:
  • Project-Based Learning and Design with Simulation - Professor Claire Lucas, King’s College London
  • How Siemens Energy Enables the Global Energy Transition - Jens Dietrich, Siemens Energy AG
Features Topics:
  • AI
  • Autonomous Systems
  • Electrification
  • Robotics
Register now: https://www.matlabexpo.com/online/2023.html?s_eid=PSM_26443
Congratulations, @John D'Errico for winning the Editor's Pick badge awarded for MATLAB Answers, in recognition of your awesome solution in How to fit a biexponential decay function
You explained the general process of solving this problem and explored several options until he got to the a good model. This is very instructional and would be useful for anyone who run into similar problems.
Unfortunately, you can only get this badge once - so there will be no new badge for you this time, but we nonetheles appreciate your ongoing effort to help other users in the community. Thnk you so much!
MATLAB Central Team
If you use MATLAB online, you might already know about the advanced search feature that groups your results into the top suggestions by type of result – such as examples functions or blocks. This release, there is a new group for video results: you can see an icon sized thumbnail and the video length all in the search box dialog.
Try out all the search groups - you can even try it out in dark mode!
Heather and Yann talk about their journeys that span both open-source and MATLAB and Jousef ask them what they think of MATLAB vs. Python, and AI in general, including ChatGPT. It is a very casual and open conversation about range of interesting topics. Don't miss it!
MATLAB vs. Python - Yann Debray & Heather Gorr | Podcast #97
Congratulations, @the cyclist for winning the Editor's Pick badge awarded for MATLAB Answers, in recognition of your awesome solution in Center of gaussian mixed distribution area.
Thank you for going to great lengths to help a user in this thread. It appears you downloaded the academic paper and read parts of it to figure out how to help the user.
This is a new badge we just introduced to recognize awesome answers people contribute and yours was picked for discovering a creative way to solve the problem, and made the solution clear, and reproducible. Thank you so much for setting a high standard for MATLAB Answers and for your ongoing contribution to the community.
MATLAB Central Team
Congratulations, @Image Analyst, for hitting this important milestone!
You provided 37,574 anwers and received 11,750 votes. You are ranked #2 in the community, Thank you for your contribution to the community!
MATLAB Central Team
Word (Crossword , Wordle, etc.)
19%
Numerical (Sudoku, math, etc.)
33%
Brain teaser, logic
27%
Jigsaw, picture, finding/matching
9%
Wooden, metal, or other mechanical
10%
Other type (comment below)
2%
4398 个投票
With the release of MATLAB R2023a, we also are giving you early access to the new MATLAB Desktop. This includes Dark Mode! Download via Add-on Explorer in MATLAB or find here on File Exchange.
These are some of the many enhancements and new features of the new desktop:
  • Dark mode / theme support - Change the colors of the desktop by selecting a dark theme.
  • Updated layout - Quickly access tools and change your layout using the sidebar.
  • Expanded search capabilities - Easily find actions, settings, and resources using the new universal search box.
  • Figure toolstrip - Use the new figure toolstrip to easily modify annotations, text, and line styles, and view generated code.
  • Keyboard and screen reader accessibility support - Use a screen reader to interact with the Command Window, Editor and desktop tools.
  • Enhanced MATLAB Projects workflows - Collaborate using an improved user interface, manage multiple repositories using the Branch Manager, and investigate project hierarchies using the new Dependency Analyzer view.
MATLAB Dark Mode
Have fun trying it out and let us know what you think!
Congratulations, @DGM for winning the Editor's Pick badge awarded for MATLAB Answers, in recognition of your awesome solution in searching for a line of pixels in an image.
Thank you for a very detailed explanation of your solution with a lot of references and working code, providing rationale for why you prefer to use spline.
This is a new badge we just introduced to recognize awesome answers people contribute and yours was picked for discovering a creative way to solve the problem, and made the solution clear, and reproducible. Thank you so much for setting a high standard for MATLAB Answers and for your ongoing contribution to the community.
MATLAB Central Team
Congratulations, @John D'Errico for winning the Editor's Pick badge awarded for MATLAB Answers, in recognition of your awesome solution in Finding linear combination of two vectors such as every element is positive.
Thank you for providing a very detailed and elegant discussion about an interesting math question, both fun and instructional.
This is a new badge we just introduced to recognize awesome answers people contribute and yours was picked for discovering a creative way to solve the problem, and made the solution clear, and reproducible. Thank you so much for setting a high standard for MATLAB Answers and for your ongoing contribution to the community.
MATLAB Central Team
In our community poll ‘Which MathWorks resource is most helpful to you while learning MATLAB?’, Documentation is listed as the most helpful resource by 47% of respondents. However, it’s also worth noting that there is tons of information in the documentation. When you want to learn a topic or get quick reference, a cheat sheet would be very useful and save you time!
We’d like to share with you 9 MATLAB Cheat Sheets for Data Science and Machine Learning! These cheat sheets let you find just the right command for the most common tasks for your data science or machine learning projects.
Check it out and let us know your thoughts.