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20212026
most citedAn FPGA smart camera implementation of segmentation models for drone wildfire imagery

2 citations · 4 across the 9 of their papers we have counts for

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cs.CV2026

A reconfigurable smart camera implementation for jet flames characterization based on an optimized segmentation model

Gerardo Valente Vazquez-Garcia, Carmina Perez Guerrero, Eduardo Garduño +7

In this work we present a novel framework for fire safety management in industrial settings through the implementation of a smart camera platform for jet flames characterization. T…

cs.CV2023★ 2 cited

An FPGA smart camera implementation of segmentation models for drone wildfire imagery

Eduardo Guarduño-Martinez, Jorge Ciprian-Sanchez, Gerardo Valente +5

Wildfires represent one of the most relevant natural disasters worldwide, due to their impact on various societal and environmental levels. Thus, a significant amount of research h…

cs.CV2023

Isolated Sign Language Recognition based on Tree Structure Skeleton Images

David Laines, Gissella Bejarano, Miguel Gonzalez-Mendoza +1

Sign Language Recognition (SLR) systems aim to be embedded in video stream platforms to recognize the sign performed in front of a camera. SLR research has taken advantage of recen…

cs.CV2022

Computer Vision-based Characterization of Large-scale Jet Flames using a Synthetic Infrared Image Generation Approach

Carmina Pérez-Guerrero, Jorge Francisco Ciprián-Sánchez, Adriana Palacios +5

Among the different kinds of fire accidents that can occur during industrial activities that involve hazardous materials, jet fires are one of the lesser-known types. This is becau…

cs.CV2022★ 2 cited

Experimental Large-Scale Jet Flames' Geometrical Features Extraction for Risk Management Using Infrared Images and Deep Learning Segmentation Methods

Carmina Pérez-Guerrero, Adriana Palacios, Gilberto Ochoa-Ruiz +4

Jet fires are relatively small and have the least severe effects among the diverse fire accidents that can occur in industrial plants; however, they are usually involved in a proce…

cs.CV2021

Comparing Machine Learning based Segmentation Models on Jet Fire Radiation Zones

Carmina Pérez-Guerrero, Adriana Palacios, Gilberto Ochoa-Ruiz +3

Risk assessment is relevant in any workplace, however there is a degree of unpredictability when dealing with flammable or hazardous materials so that detection of fire accidents b…