社交距离监控系统：支持AI的社交距离检测工具，可通过分析来自摄像机的实时视频流来检测人们是否彼此保持安全距离。 -创意积分：La...

Social Distancing detection using Deep Learning ============= <img src="/images/SocialDistancing1.png" width="100%" height="100%" title="Final Result" alt="Final Result"></img><br/> **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 ------------- <img src="/images/SocialDistancing2.png" width="70%" height="70%" title="Application Workflow" alt="Application Workflow"></img><br/> * 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 ------------- <img src="/images/SocialDistancing3-1.png" width="70%" height="70%" title="Detect Pedestrians" alt="Detect Pedestrians"></img><br/> #### 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 ------------- <img src="/images/SocialDistancing4-1.png" width="100%" height="100%" title="Calibration" alt="Calibration"></img><br/> #### 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. <img src="/images/SocialDistancing5-1.png" width="50%" height="50%" title="Measurement" alt="Measurement"></img><br/> Part3 - Test application and App for interactive execution ------------- ### COVID19_PeopleVideoRunning.mlx With the pretrained people detector, and using COVID19_SocialDistancingScript.mlx, it can run social distancing detector for existing video. <img src="/images/SocialDistancing1.png" width="100%" height="100%" title="Final Result" alt="Final Result"></img><br/> ### COVID19_SocialDistancing.mlapp I have built a lightweight tool that enables even non-technical users to create the system for their own. <img src="/images/SocialDistancing6.png" width="100%" height="100%" title="App for Social Distancing" alt="App for Social Distancing"></img><br/> 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 ------------- [](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 ------------- [1] B. Benfold and I. Reid. Guiding visual surveillance by tracking human attention. In BMVC, 2009 Copyright 2020 The MathWorks, Inc.