https://github.com/matlab-deep-learning/social-distancing-monitoring-system

AI-enabled social distancing detection tool that can detect if people are keeping a safe distance from each other by analyzing real-time video streams from the camera. - Idea Credit : Landing AI (https://landing.ai/)
https://github.com/matlab-deep-learning/social-distancing-monitoring-system

camera-calibration deep-learning example matlab matlab-deep-learning social-distancing-detection

Last synced: 5 months ago
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AI-enabled social distancing detection tool that can detect if people are keeping a safe distance from each other by analyzing real-time video streams from the camera. - Idea Credit : Landing AI (https://landing.ai/)

• Host: GitHub
• URL: https://github.com/matlab-deep-learning/social-distancing-monitoring-system
• Owner: matlab-deep-learning
• License: other
• Created: 2020-06-10T01:22:53.000Z (over 5 years ago)
• Default Branch: master
• Last Pushed: 2020-08-24T04:02:08.000Z (about 5 years ago)
• Last Synced: 2025-05-07T19:47:38.340Z (6 months ago)
• Topics: camera-calibration, deep-learning, example, matlab, matlab-deep-learning, social-distancing-detection
• Language: MATLAB
• Homepage:
• Size: 15.7 MB
• Stars: 14
• Watchers: 3
• Forks: 2
• Open Issues: 3
• Metadata Files:
  • Readme: README.md
  • License: LICENSE

Awesome Lists containing this project

README

          
Social Distancing detection using Deep Learning

=============




**Background**

Coronavirus disease (COVID-19) is a new strain of disease in humans discovered in 2019 that has never been identified in the past. 

Coronavirus is a large family of viruses that causes illness in patients ranging from common cold to advanced respiratory syndromes such as Middle East Respiratory Syndrome (MERS-COV) and Severe Acute Respiratory Syndrome (SARS-COV).

Many people are currently affected and are being treated across the world causing a global pandemic. 

Several countries have declared a national emergency and have quarantined millions of people. 

To be a part of the worldwide trend, I've created a Social Distancing detection system.

Application Workflow

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* Detect Pedestrians in the perspective view 

  * Train YOLOv3 detector for pedestrian detection

* Convert perspective view into Bird's-eye view

  * Morphs the perspective view into a bird’s-eye (top-down) view

  * We assumes that every person is standing on the same flat ground plane.

* Measure the distances between persons in Bird's-eye view

  * Estimate pedestrian's (x, y) location in the bird's-eye view.

  * Selecting bottom-center point of each person's bounding box in the perspective view and transform the points into bird's-eye view.

 

Part1 - Detect Pedestrians in the perspective view

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#### COVID19_PeopleExtractGT.mlx

This file extracts dataset provider given ground truth information, [Oxford Town Centre Dataset](http://www.robots.ox.ac.uk/ActiveVision/Research/Projects/2009bbenfold_headpose/project.html)[1], and get ready for the training.

#### COVID19_TrainPeopleYOLOv3.mlx

Train the pedestrian detection model from ground truth data, extracted from above file.

Part2 - Convert perspective view into Bird's-eye view & Measure the distances between persons in Bird's-eye view

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#### COVID19_SocialDistancingScript.mlx

This file includes the entire social distancing system development script with pretrained people detection model.

It covers calibration process from perspective view into bird's-eye view, extract person's location and measure the distances each other.   




Part3 - Test application and App for interactive execution

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### COVID19_PeopleVideoRunning.mlx

With the pretrained people detector, and using COVID19_SocialDistancingScript.mlx, it can run social distancing detector for existing video.




### COVID19_SocialDistancing.mlapp

I have built a lightweight tool that enables even non-technical users to create the system for their own.




Requires

- [MATLAB](https://www.mathworks.com/products/matlab.html)

- [Deep Learning Toolbox](https://www.mathworks.com/products/deep-learning.html)

- [Image Processing Toolbox](https://www.mathworks.com/products/image.html)

- [Computer Vision Toolbox](https://www.mathworks.com/products/computer-vision.html)

- [Parallel Computing Toolbox](https://www.mathworks.com/products/parallel-computing.html)

- [MATLAB Coder](https://www.mathworks.com/products/matlab-coder.html)

- [GPU Coder](https://www.mathworks.com/products/gpu-coder.html)

For more information on Deep Learning in MATLAB

-------------

[![View Social-Distancing-Monitoring-System on File Exchange](https://www.mathworks.com/matlabcentral/images/matlab-file-exchange.svg)](https://kr.mathworks.com/matlabcentral/fileexchange/76760-social-distancing-monitoring-system)

**[Download a free MATLAB trial for Deep Learning](https://www.mathworks.com/products/deep-learning.html)**

References

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[1] B. Benfold and I. Reid. Guiding visual surveillance by tracking human attention. In BMVC, 2009

Copyright 2020 The MathWorks, Inc.