Lucile Rossi - Academia.edu (original) (raw)

Papers by Lucile Rossi

Atmosphere

This paper reports two experimental fires conducted at field-scale in Corsica, across a particula... more This paper reports two experimental fires conducted at field-scale in Corsica, across a particular mountain shrubland. The orientation of the experimental plots was chosen in such a way that the wind was aligned along the main slope direction in order to obtain a high intensity fire. The first objective was to study the high intensity fire behavior by evaluating the propagation conditions related to its speed and intensity, as well as the geometry of the fire front and its impact on different targets. Therefore, an experimental protocol was designed to determine the properties of the fire spread using UAV cameras and its impact using heat flux gauges. Another objective was to study these experiments numerically using a fully physical fire model, namely FireStar3D. Numerical results concerning the fire dynamics, particularly the ROS, were also compared to other predictions of the FireStar2D model. The comparison with experimental measurements showed the robustness of the 3D approach ...

2017 Seventh International Conference on Image Processing Theory, Tools and Applications (IPTA), 2017

This paper proposes a new multimodal stereovision framework for wildland fires detection and anal... more This paper proposes a new multimodal stereovision framework for wildland fires detection and analysis. The proposed system uses near infrared and visible images to robustly segment the fires and extract their three-dimensional characteristics during propagation. It uses multiple multimodal stereovision systems to capture complementary views of the fire front. A new registration approach is proposed, it uses multisensory fusion based on GNSS and IMU data to extract the projection matrix that permits the representation of the 3D reconstructed fire in a common reference frame. The fire parameters are extracted in 3D space during fire propagation using the complete reconstructed fire. The obtained results show the efficiency of the proposed system for wildland fires research and firefighting decision support in operational scenarios.

Thermosense: Thermal Infrared Applications XL, 2018

Wildland fires are considered one of the major natural risks affecting almost every country in th... more Wildland fires are considered one of the major natural risks affecting almost every country in the world. The impacts of these fires are huge in term of environmental, economic, and social losses. Experts estimate that with the climate change and global warming, we will witness an increase in the frequency and size of fires in the next years. In this paper, we will present the advances in the use of multiple spectrum computer vision to process, analyze and understand wildland fires behavior. We will introduce different multispectral technologies used in image capture, the techniques developed to detect and extract the fires from the images, and how multispectral fusion is used in the context of wildland fires. We will show our recent results using multiple multimodal stereovision systems where different modalities are combined to extract important fires characteristics in threedimensional space. Finally, we will discuss the use of UAVs to monitor fires at a larger scale.

Imprensa da Universidade de Coimbra eBooks, 2022

The GOLIAT project is a consortium of academics and firefighting operators and land-use planning ... more The GOLIAT project is a consortium of academics and firefighting operators and land-use planning professionals of Corsica. One goal of GOLIAT project is to provide four operational decision support tools. To reach this goal, a survey of past fires occurred in Corsica since the twentieth century beginning is made. This inventory contributes to build up a database with a web display interface easy to use as fire patterns history. A fire behavior and impact simulator prototype for vegetation fires, a geolocation tool for hot spots using UAV images, and a guide of good practices of prescribed fires in the undergrowth are building. At the same time, experimental fires are carried out to improve knowledge about high intensity fire and the experimental results were compared to the predictions provided by a complete physical 3D model, namely FireStar3D.

Revue Française de Photogrammétrie et de Télédétection, 2014

Les feux de forêt représentent un risque majeur pour de nombreux pays dans le monde. Pour lutter ... more Les feux de forêt représentent un risque majeur pour de nombreux pays dans le monde. Pour lutter contre ce danger, des actions de gestion, de prévention et de lutte sont réalisées. L'efficacité de ces trois types d'action est liée à la connaissance des phénomènes qui interviennent lors de la propagation des feux et à l'amélioration des modèles de comportement. Les feux sont caractérisés par l'évolution temporelle de leur position, vitesse, hauteur, surface et volume. Il est donc nécessaire de développer des systèmes permettant la mesure de ces caractéristiques géométriques. Depuis une dizaine d'années, des travaux utilisant le traitement d'image et la vision ont été menés pour obtenir des données estimées sur des feux expérimentaux. Trois familles de systèmes sont apparues : la première est dédiée aux feux se propageant en laboratoire. Elle utilise des informations 2D et ne permet l'estimation que d'un nombre restreint de caractéristiques. La deuxième...

2018 15th International Conference on Control, Automation, Robotics and Vision (ICARCV), 2018

In the context of wildfire research and fight, there is a need of measuring fire geometrical char... more In the context of wildfire research and fight, there is a need of measuring fire geometrical characteristics to better understand the phenomena occurring during the propagation, to develop and to improve models in order to anticipate the fire behavior and to position firefighters and water drops and to protect the population. This paper presents a framework composed by an unmanned aerial vehicle carrying a visible stereovision system developed in order to estimate the position, rate of spread, height, inclination angle, base width and surface of fires obtained by experimental burnings at field scale. This research is developed with the ultimate goal to carry out a technological transfer in order to obtain systems that can be used by firefighters.

The paper proposes a flame detection method based on saliency analysis, optical flow estimation a... 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 discard falsely detected pixels, a colour model of flames and temporal wavelet transform are employed. The proposed algorithms can be applied in the autonomous and semi-autonomous systems for environmental surveillance and can reduce the load of human operators. Experiments illustrate the introduced method achieves around 91% true positive rate and 97% true negative rate.

Prime Archives in Remote Sensing, 2021

Applied Sciences, 2021

Wildfires stand as one of the most relevant natural disasters worldwide, particularly more so due... more Wildfires stand as one of the most relevant natural disasters worldwide, particularly more so due to the effect of climate change and its impact on various societal and environmental levels. In this regard, a significant amount of research has been done in order to address this issue, deploying a wide variety of technologies and following a multi-disciplinary approach. Notably, computer vision has played a fundamental role in this regard. It can be used to extract and combine information from several imaging modalities in regard to fire detection, characterization and wildfire spread forecasting. In recent years, there has been work pertaining to Deep Learning (DL)-based fire segmentation, showing very promising results. However, it is currently unclear whether the architecture of a model, its loss function, or the image type employed (visible, infrared, or fused) has the most impact on the fire segmentation results. In the present work, we evaluate different combinations of state-o...

IEEE Transactions on Industrial Informatics, 2018

This paper proposes a flame detection framework based on the color, dynamics and flickering prope... more This paper proposes a flame detection framework based on the color, dynamics and flickering properties of flames. The distribution of flame colors is modelled by a Gaussian Mixture Model whose number of Gaussian component is estimated by a Dirichlet process from training data rather than set empirically. The proposed approach estimates the flame color distribution more accurately as it can determine the number of Gaussian components of the mixture model automatically. Additionally, a probabilistic saliency analysis method and a one-dimensional wavelet transform are used to extract motion saliency and filtered temporal series as features, describing the dynamics and flickering properties of flames. The developed Dirichlet Process Gaussian Mixture Model based approach for autonomous flame detection is tested on various videos and achieves frame-wise accuracy higher than 95%.

Applied Intelligence, 2017

In this work we contribute to development of a "Human-like Visual-Attention-based Artificial Visi... more In this work we contribute to development of a "Human-like Visual-Attention-based Artificial Vision" system for boosting firefighters' awareness about the hostile environment in which they are supposed to move along. Taking advantage from artificial visual-attention, the investigated system's conduct may be adapted to firefighter's way of gazing by acquiring some kind of human-like artificial visual neatness supporting firefighters in interventional conditions' evaluation or in their appraisal of the rescue

Fire Safety Journal, 2017

The last decade has witnessed the use of computer vision for wildfire detection and measurement. ... more The last decade has witnessed the use of computer vision for wildfire detection and measurement. The first and most important step for computer vision analysis is the fire pixel detection because it determines the accuracy of the following processing. The evaluation and the comparison of the wildfire detection algorithms of the literature and the development of new ones needs open datasets with a large number of annotated images and their ground truth. We address this issue by presenting a publicly evolving wildfire annotated image database with ground truth data with examples of use. Currently, it contains 500 visible images and, in a more limited number, multimodal images and videos with frame by frame annotations. This is currently the largest dataset released in this research field.

International audienceno abstrac

This paper presents a new approach for the estimation of fire front volume in indoor laboratory e... more This paper presents a new approach for the estimation of fire front volume in indoor laboratory experiments. This work deals with fire spreading on inclinable tables. The method is based on the use of two synchronized stereovision systems positioned respectively in a back position and in a front position of the fire propagation direction. The two vision systems are used

Measurement Science and Technology, 2010

... For more than two decades, visual and infrared cameras have been used as complementary metrol... more ... For more than two decades, visual and infrared cameras have been used as complementary metrological instruments in flame experiments (Clements 1983, Lu et al 1999, Bheemul et al 2005, Huseynov et al 2008, Abecassis-Empis et al 2008). ...

Fire Safety Journal, 2011

ABSTRACT This paper presents a new instrumentation system, based on stereovision, for the visuali... more ABSTRACT This paper presents a new instrumentation system, based on stereovision, for the visualization and quantitative characterization of fire fronts in outdoor conditions. The system consists of a visible pre-calibrated stereo camera and a computer with dedicated software. In the proposed approach, images are captured simultaneously and processed using specialized algorithms. These algorithms permit to model 3D fire fronts and extract geometric characteristics like volume, surface area, heading direction and length. Experiments were carried out in outdoor scenarios and the obtained results show the efficiency of the proposed system. This system successfully measures 3D geometric parameters of fire fronts over a range of combustible and environmental conditions.