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Real-Time Video Analytics for Situation Awareness

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Real-Time Video Analytics for Situation Awareness_On-Demand Session
Real-Time Video Analytics for Situation Awareness_On-Demand Session
The ubiquity of mobile phone cameras allows public safety events to be captured on video right on the spot and be rapidly shared via social media. Our project seeks to develop video analytics and visualization tools based on computer vision and machine learning techniques for public safety events. We will demonstrate multiple systems that illustrate some of the work we have been doing. For example, we’ve developed a system to assess the damage of houses after a natural disaster from drone videos and a person re-identification system that utilizes multi-modal information including text descriptions and gait recognition. We’ll demonstrate how we could identify the suspect of the Boston Bombing across different cameras and times with such systems.


  • Alexander Hauptmann, Carnegie Mellon University
  • Junwei Liang, Carnegie Mellon University

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Created May 19, 2020, Updated October 28, 2020