8 docs tagged with "Object Detection & Tracking"

Hi there! My name is Spencer Ng, and I’m a rising second-year studying Computer Science and Theater & Performance Studies at the University of Chicago.

Authors: Saurav Koduri (University of Illinois Urbana-Champaign) and Avasyu Chukkapalli (Virginia Tech)

rideshare oppurtunity

Authors: Noah Betoshana (University of California, Davis) and Liam Fitzpatrick (Michigan State University)

My name is Ori Zur and I am a rising junior at Northwestern University studying computer science and music composition. This summer at Argonne, I sought to answer the following question: how well are people following social distancing guidelines in outdoor urban environments?

NOTE: This document is based on the version 1.0.3 of the traffic counter application.

A real-time vehicle tracking application based on deep neural networks was utilized to calculate traffic state. The deep neural networks that were utilized for the estimation were introduced in the ‘Vehicle Tracking’ post. The traffic state has been calculated by ‘traffic flow = traffic speed x traffic density’ (traffic_char1996, edie1963). With the equation, we need to measure two of the parameters using instruments for each parameters to estimate the third state. However, on the other hand, the application introduced in this study based on deep neural networks can calculate traffic state independently using a video source.

Hi there!