TY  - JOUR
AU  - Laura Lopez-Fuentes
AU  - Joost Van de Weijer
AU  - Manuel Gonzalez-Hidalgo
AU  - Harald Skinnemoen
AU  - Andrew Bagdanov
PY  - 2018//
TI  - Review on computer vision techniques in emergency situations
T2  - MTAP
JO  - Multimedia Tools and Applications
SP  - 17069–17107
VL  - 77
IS  - 13
KW  - Emergency management
KW  - Computer vision
KW  - Decision makers
KW  - Situational awareness
KW  - Critical situation
N2  - 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.
UR  - https://link.springer.com/article/10.1007/s11042-017-5276-7
L1  - http://refbase.cvc.uab.es/files/LWG2018.pdf
N1  - LAMP; 600.068; 600.120
ID  - Laura Lopez-Fuentes2018
ER  -