Planned intervention: On Wednesday June 26th 05:30 UTC Zenodo will be unavailable for 10-20 minutes to perform a storage cluster upgrade.
Published October 16, 2017 | Version v1
Journal article Open

Review on computer vision techniques in emergency situations

  • 1. TM-RCS Working Group, AnsuR Technologies
  • 2. Computer Vision Center, Universitat Autònoma de Barcelona
  • 3. Department of Mathematics and Computer Science, University of the Balearic Islands
  • 4. University of Florence

Description

In emergency situations, actions that save lives and limit the impact of hazards are crucial. In order to act, situational awareness is needed to decide what to do. Geolocalized photos and video of the situations as they evolve can be crucial in better understanding them and making decisions faster. Cameras are almost everywhere these days, either in terms of smartphones, installed CCTV cameras, UAVs or others. However, this poses challenges in big data and information overflow. Moreover, most of the time there are no disasters at any given location, so humans aiming to
detect sudden situations may not be as alert as needed at any point in time. Consequently, computer vision tools can be an excellent decision support. The number of emergencies where computer vision tools has been considered or used is very wide, and there is a great overlap across related emergency research. Researchers tend to focus on state-of-the-art systems that cover the same emergency as they are studying, obviating important research in other fields. In order to unveil this overlap, the survey is divided along four main axes: the types of emergencies that have been studied in computer vision, the objective that the algorithms can address, the type of hardware needed and the algorithms used. Therefore, this review provides a broad overview of the progress of computer vision covering all sorts of emergencies.

Files

08_Lopez_et_al-2017-_Multimedia_Tools_And_Applications_AcceptedVersion_FirstPage.pdf

Additional details

Funding

I-REACT – Improving Resilience to Emergencies through Advanced Cyber Technologies 700256
European Commission