People and Vehicles in Danger - A Fire and Flood Detection System in Social Media
- Resource Type
- Conference
- Authors
- Giannakeris, Panagiotis; Avgerinakis, Konstantinos; Karakostas, Anastasios; Vrochidis, Stefanos; Kompatsiaris, Ioannis
- Source
- 2018 IEEE 13th Image, Video, and Multidimensional Signal Processing Workshop (IVMSP) Image, Video, and Multidimensional Signal Processing Workshop (IVMSP), 2018 IEEE 13th. :1-5 Jun, 2018
- Subject
- Computing and Processing
Signal Processing and Analysis
Electromagnetic compatibility
Flickr
Image segmentation
Estimation
Safety
Machine learning
computer vision
deep learning
image segmentation
object detection
- Language
This paper presents a novel warning system framework for detecting people and vehicles in danger. The system was tested in several images compiled from Flickr and other social media sources and is highly suggested to get integrated in future warning surveillance and safety systems for preventing or solving crisis events. The proposed framework recruits State-of-the-Art deep learning technologies so as to solve a series of image processing and machine learning challenges and provides a near real-time localization solution for detecting and scoring severity safety levels of people and vehicles in flood and fire images.