wiki:Other/Summer/2020/SocDist

Analyzing Social Distancing Based on Sensory Inputs

Project Objective

The project will make use of computer vision and other machine learning techniques to identify and measure the effects of social distancing policies on the population in an urban setting. You will learn to use scikit-learn, yolo, and keras to measure the distance between people, whether they have masks, and infer social ties from a data set obtained from cameras from the department of transportation (NYC Dot) a GoPro and street cameras part of the COSMOS testbed. These will be used to extract temporal information for analysis of social distancing compliance throughout New York City.

Reading Material

Week 1 Activites

  • Get ORBIT/COSMOS account and familiarize oneself with the testbed procedures
Last modified 5 weeks ago Last modified on Jun 4, 2020, 3:32:07 PM
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