The strength of using video in fire detection is the ability to monitor large and open spaces. The novel system also give the opportunity to adjust the system by applying different combination of fire detecting techniques which will help in implementation of system according to different sensitive ...
A particular emphasis is placed on image processing techniques applied to two operational concepts: a fire detection service and a forest mapping service. The real-time operations related to fire detection consist on object tracking and ... T Hormigo,J Araújo - ISPRS - International Archives of ...
Aiming at the defects of the traditional methods on mine fire monitoring, The infrared image processing method which is based on snake algorithm with immune genetic algorithm is putforward. The improved snake algorithM is applied to edge contour extraction of mine fire image images after capturing ...
This work presents a real-time video-based fire and smoke detection using YOLOv2 Convolutional Neural Network (CNN) in antifire surveillance systems. YOLOv
The superpixel based approach was trained to perform superpixel based fire detection and localization within a given frame as follows: image frame is split into segments using SLIC superpixel segmentation aSP-InceptionVx-OnFireconvolutional architecture (forx = 1, 3, 4 for InceptionV1, InceptionV3,...
In this paper, we propose an image-based fire detection method using CNN (Convolutional Neural Network). In this method, firstly we extract fire candidate region using color information from video frame input and then detect fire using trained CNN. Also, we show that the performance is ...
基于图像处理的大空间火灾监测技术的研究重庆大学硕士学位论文学生姓名**与信息处理学科门类重庆大学通信工程学院二OO八年四月ResearchFireDetectionBasedImageProcessingThesisSubmittedChongqingUniversityPartialFulfillmentLiHongyuSupervisorProfLiuXiaomingMajorSignalinformationprocessingCollegeCommunicationEngineeringChongqingUniversityChongqi...
Fire and Gun detection using yolov3 in videos as well as images. Training code, dataset and trained weight file available. python machine-learning deep-neural-networks ai deep-learning cctv surveillance fire artificial-intelligence dataset video-processing object-detection weights darknet rifle firearm-...
Recently, there has been an array of methods proposed using Deep Learning, Convolutional Neural Networks (CNNs) to automatically detect and predict flame and smoke in videos and images. In this paper, we present a complete survey and analysis of these machine vision based fire/smoke detection ...
[and subsequent follow on work: Experimental Exploration of Compact Convolutional Neural Network Architectures for Non-temporal Real-time Fire Detection]Tested using Python 3.7.x, TensorFlow 1.15, TFLearn 0.3.2 and OpenCV 3.x / 4.x (requires opencv extra modules - ximgproc module for superpixel ...