An automatic fire detection system based on deep convolutional neural networks for low-power, resource-constrained devices
Large-scale fires have been increasingly reported in the news media. These events can
cause a variety of irreversible damage, what encourages the search for effective solutions to …
cause a variety of irreversible damage, what encourages the search for effective solutions to …
Experimentally defined convolutional neural network architecture variants for non-temporal real-time fire detection
AJ Dunnings, TP Breckon - 2018 25th IEEE international …, 2018 - ieeexplore.ieee.org
In this work we investigate the automatic detection of fire pixel regions in video (or still)
imagery within real-time bounds without reliance on temporal scene information. As an …
imagery within real-time bounds without reliance on temporal scene information. As an …
Detection and separation of smoke from single image frames
This paper proposes novel methods for detecting and separating smoke from a single image
frame. Specifically, an image formation model is derived based on the atmospheric …
frame. Specifically, an image formation model is derived based on the atmospheric …
A video-based smoke detection using smoke flow pattern and spatial-temporal energy analyses for alarm systems
Detecting smoke during the initial stages is vital for preventing fire events. This study
proposes a video-based approach for alarm systems that detects smoke based on temporal …
proposes a video-based approach for alarm systems that detects smoke based on temporal …
Fire smoke detection based on target-awareness and depthwise convolutions
Y Zhao, H Zhang, X Zhang, X Chen - Multimedia Tools and Applications, 2021 - Springer
Because smoke usually appears before a flame arises, fire smoke detection is significant for
early warning systems. This paper proposes a TADS (Target-awareness and Depthwise …
early warning systems. This paper proposes a TADS (Target-awareness and Depthwise …
Image-based real-time fire detection using deep learning with data augmentation for vision-based surveillance applications
With recent advances in embedded processing capability, vision-based real-time fire
detection has been enabled in surveillance devices. This paper presents an image-based …
detection has been enabled in surveillance devices. This paper presents an image-based …
Patchwise dictionary learning for video forest fire smoke detection in wavelet domain
X Wu, Y Cao, X Lu, H Leung - Neural Computing and Applications, 2021 - Springer
Fire smoke detection in forest faces much more challenges than in local areas or indoors.
Conventional fire smoke methods using static features extracted form single image directly …
Conventional fire smoke methods using static features extracted form single image directly …
[图书][B] Computer Vision–ECCV 2016 Workshops: Amsterdam, The Netherlands, October 8-10 and 15-16, 2016, Proceedings, Part II
G Hua, H Jégou - 2016 - books.google.com
The three-volume set LNCS 9913, LNCS 9914, and LNCS 9915 comprises the refereed
proceedings of the Workshops that took place in conjunction with the 14th European …
proceedings of the Workshops that took place in conjunction with the 14th European …
A dual convolution network using dark channel prior for image smoke classification
Through a comparative analysis, we confirm that the value of the dark channel pixels of the
smoke image is higher than the non-smoke image. It means that the dark channel of the …
smoke image is higher than the non-smoke image. It means that the dark channel of the …
A dual-channel convolution neural network for image smoke detection
Image smoke detection is a challenging task due to the difference of color, texture, and
shape of smoke. In recent years, deep learning has greatly improved the performance of …
shape of smoke. In recent years, deep learning has greatly improved the performance of …