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Communications Technology Laboratory

Public Safety Communications Research Division

Real-Time Video Analytics for Situation Awareness Demo

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Real-Time Video Analytics Demo_Tech Demo
Real-Time Video Analytics Demo_Tech Demo
Our project develops video analytics and visualization tools based on computer vision and machine learning techniques for public safety events. We demonstrate multiple systems that illustrate some of the work. For example, 1) we show a system using drone videos to assess the damage to houses after a natural disaster, and 2) we show a person re-identification system that utilizes multi-modal information including verbal descriptions and gait recognition. We demonstrate how this could identify the suspect of the Boston Bombing across different cameras and times. 3) We contribute to traffic safety through vehicle and pedestrian path prediction from arbitrary cameras.

Researcher

  • junweil [at] cs.cmu.edu (Junwei Liang), Carnegie Mellon University

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Created May 22, 2020, Updated October 27, 2020