Related references
Note: Only part of the references are listed.Advancing Image Understanding in Poor Visibility Environments: A Collective Benchmark Study
Wenhan Yang et al.
IEEE TRANSACTIONS ON IMAGE PROCESSING (2020)
Smoke Detection on Video Sequences Using 3D Convolutional Neural Networks
Gaohua Lin et al.
FIRE TECHNOLOGY (2019)
Video smoke detection based on deep saliency network
Gao Xu et al.
FIRE SAFETY JOURNAL (2019)
Convolutional neural networks based on multi-scale additive merging layers for visual smoke recognition
Feiniu Yuan et al.
MACHINE VISION AND APPLICATIONS (2019)
Energy-Efficient Deep CNN for Smoke Detection in Foggy IoT Environment
Salman Khan et al.
IEEE INTERNET OF THINGS JOURNAL (2019)
Real-time video fire smoke detection by utilizing spatial-temporal ConvNet features
Yaocong Hu et al.
MULTIMEDIA TOOLS AND APPLICATIONS (2018)
Visual tracking using Siamese convolutional neural network with region proposal and domain specific updating
Han Zhang et al.
NEUROCOMPUTING (2018)
Early fire detection using convolutional neural networks during surveillance for effective disaster management
Khan Muhammad et al.
NEUROCOMPUTING (2018)
Convolutional Neural Networks Based Fire Detection in Surveillance Videos
Khan Muhammad et al.
IEEE ACCESS (2018)
Deep domain adaptation based video smoke detection using synthetic smoke images
Gao Xu et al.
FIRE SAFETY JOURNAL (2017)
Higher Order Linear Dynamical Systems for Smoke Detection in Video Surveillance Applications
Kosmas Dimitropoulos et al.
IEEE TRANSACTIONS ON CIRCUITS AND SYSTEMS FOR VIDEO TECHNOLOGY (2017)
Video Captioning With Attention-Based LSTM and Semantic Consistency
Lianli Gao et al.
IEEE TRANSACTIONS ON MULTIMEDIA (2017)
A Deep Normalization and Convolutional Neural Network for Image Smoke Detection
Zhijian Yin et al.
IEEE ACCESS (2017)
A Saliency-Based Method for Early Smoke Detection in Video Sequences
Yang Jia et al.
FIRE TECHNOLOGY (2016)
Learning discriminative shape statistics distribution features for pedestrian detection
Jifeng Shen et al.
NEUROCOMPUTING (2016)
Dynamic texture based smoke detection using Surfacelet transform and HMT model
Wei Ye et al.
FIRE SAFETY JOURNAL (2015)
A Fast Single Image Haze Removal Algorithm Using Color Attenuation Prior
Qingsong Zhu et al.
IEEE TRANSACTIONS ON IMAGE PROCESSING (2015)
Real-time image smoke detection using staircase searching-based dual threshold AdaBoost and dynamic analysis
Feiniu Yuan et al.
IET IMAGE PROCESSING (2015)
Multiple spatial pooling for visual object recognition
Yongzhen Huang et al.
NEUROCOMPUTING (2014)
Wildfire smoke detection using temporospatial features and random forest classifiers
ByoungChul Ko et al.
OPTICAL ENGINEERING (2012)
A double mapping framework for extraction of shape-invariant features based on multi-scale partitions with AdaBoost for video smoke detection
Feiniu Yuan
PATTERN RECOGNITION (2012)
Single Image Haze Removal Using Dark Channel Prior
Kaiming He et al.
IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE (2011)
Vision based smoke detection system using image energy and color information
Simone Calderara et al.
MACHINE VISION AND APPLICATIONS (2011)
Contourlet Transform Based Texture Analysis for Smoke and Fog Classification
Yang Zhao et al.
COMPUTER-AIDED DESIGN, MANUFACTURING, MODELING AND SIMULATION, PTS 1-2 (2011)
Video Fire Smoke Detection Using Motion and Color Features
Yu Chunyu et al.
FIRE TECHNOLOGY (2010)
Smoke detection in video using wavelets and support vector machines
Jayavardhana Gubbi et al.
FIRE SAFETY JOURNAL (2009)
A fast accumulative motion orientation model based on integral image for video smoke detection
Feiniu Yuan
PATTERN RECOGNITION LETTERS (2008)