Learn More
This work presents a new framework for three-dimensional modeling of dynamic fires present in unstructured scenes. The proposed approach addresses the problem of segmenting fire regions using information from YUV and RGB color spaces. Clustering is also used to extract salient points from a pair of stereo images. These points are then used to reconstruct 3D(More)
Recently, computer vision-based methods have started to replace conventional sensor based fire detection technologies. In general, visible band image sequences are used to automatically detect suspicious fire events in indoor or outdoor environments. There are several methods which aim to achieve automatic fire detection on visible band images, however, it(More)
Each year, hundred millions hectares of forests burn causing human and economic losses. For efficient fire fighting, the personnel in the ground need tools permitting the prediction of fire front propagation. In this work, we present a new technique for automatically tracking fire spread in three-dimensional space. The proposed approach uses a stereo system(More)
This paper presents a work conducted in the field of image processing and computer vision in order to measure geometrical characteristics of spreading fires; this allows understanding the phenomenon occurring during the propagation and improving and/or validating mathematical models by comparing experimental data with numerical ones. In order to develop a(More)
This paper presents a stereovision system for the measurement of forest fire spread characteristics. Images of the scene are captured by a pre-calibrated stereo camera. A new approach is introduced in order to capture a three dimensional flame structure and to estimate important characteristics of this phenomenon like position and rate of spread of the fire(More)
This paper presents a new algorithm for automatically measuring fire spreading characteristics by means of a stereovision system. The proposed framework is based on the use of a pre-calibrated trinocular stereo camera. The first and second steps permit the segmentation and features detection in the images. The third step is a stereo matching approach used(More)
The paper proposes a flame detection method based on saliency analysis, optical flow estimation and temporal wavelet transform. Two separate saliency maps are first obtained based on the grayscale values and optical flow magnitudes of each frame using a saliency detector. Subsequently, the two maps are combined to extract candidate flame regions. To further(More)
This paper presents a stereovision framework developed to monitor and to measure laboratory fire spreads. New algorithms were developed for the estimation of fire characteristics like position, rate of spread, height, depth and the distance between the fire front and metrological instruments.