Patch-wise periodical re-occurrence analysis of motion for real-time video fire detection

2014 IEEE International Conference on Industrial Technology (ICIT) ◽

10.1109/icit.2014.6895007 ◽

2014 ◽

Cited By ~ 1

Author(s):

Ibrahim Furkan Ince ◽

Jin-Kyu Do ◽

Gyu-Yeong Kim ◽

Jang-Sik Park

Keyword(s):

Real Time ◽

Fire Detection ◽

Analysis Of Motion

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Efficient and Compact Convolutional Neural Network Architectures for Non-temporal Real-time Fire Detection

2020 19th IEEE International Conference on Machine Learning and Applications (ICMLA) ◽

10.1109/icmla51294.2020.00030 ◽

2020 ◽

Author(s):

William Thomson ◽

Neelanjan Bhowmik ◽

Toby P. Breckon

Keyword(s):

Neural Network ◽

Convolutional Neural Network ◽

Real Time ◽

Fire Detection ◽

Network Architectures ◽

Neural Network Architectures

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Integrating near-real-time infrared technology into wildland fire detection and mapping

10.1117/12.157832 ◽

1993 ◽

Author(s):

Joseph D. Nichols

Keyword(s):

Real Time ◽

Wildland Fire ◽

Fire Detection ◽

Infrared Technology

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Real-Time Fire Detection Algorithm Based on Support Vector Machine with Dynamic Time Warping Kernel Function

Fire Technology ◽

10.1007/s10694-020-01062-1 ◽

2021 ◽

Author(s):

Jaeseung Baek ◽

Taha J. Alhindi ◽

Young-Seon Jeong ◽

Myong K. Jeong ◽

Seongho Seo ◽

...

Keyword(s):

Support Vector Machine ◽

Real Time ◽

Kernel Function ◽

Dynamic Time Warping ◽

Fire Detection ◽

Detection Algorithm ◽

Support Vector ◽

Time Warping ◽

Dynamic Time

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Real time monitoring fire detection Using Remote Sensing

10.1109/agers53903.2021.9617260 ◽

2021 ◽

Author(s):

Muhammad Iqbal Habibie ◽

Nety Nurda ◽

Harun Idham Akbar ◽

Oni Bibin Bintoro ◽

Robby Arifandri ◽

...

Keyword(s):

Remote Sensing ◽

Real Time ◽

Fire Detection ◽

Real Time Monitoring

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Experimentally Defined Convolutional Neural Network Architecture Variants for Non-Temporal Real-Time Fire Detection

2018 25th IEEE International Conference on Image Processing (ICIP) ◽

10.1109/icip.2018.8451657 ◽

2018 ◽

Cited By ~ 8

Author(s):

Andrew J. Dunnings ◽

Toby P. Breckon

Keyword(s):

Neural Network ◽

Convolutional Neural Network ◽

Real Time ◽

Network Architecture ◽

Fire Detection ◽

Neural Network Architecture

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Real-Time Fire Detection Based on Deep Convolutional Long-Recurrent Networks and Optical Flow Method

2018 37th Chinese Control Conference (CCC) ◽

10.23919/chicc.2018.8483118 ◽

2018 ◽

Cited By ~ 1

Author(s):

Chao Hu ◽

Peng Tang ◽

WeiDong Jin ◽

ZhengWei He ◽

Wei Li

Keyword(s):

Optical Flow ◽

Real Time ◽

Fire Detection ◽

Recurrent Networks ◽

Flow Method ◽

Optical Flow Method

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Real-Time Fire Detection Using Camera Sequence Image in Tunnel Environment

Lecture Notes in Computer Science - Advanced Intelligent Computing Theories and Applications. With Aspects of Theoretical and Methodological Issues ◽

10.1007/978-3-540-74171-8_123 ◽

2007 ◽

pp. 1209-1220 ◽

Cited By ~ 8

Author(s):

Byoungmoo Lee ◽

Dongil Han

Keyword(s):

Real Time ◽

Fire Detection

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A YOLOv3-based Learning Strategy for Real-time UAV-based Forest Fire Detection

2020 Chinese Control And Decision Conference (CCDC) ◽

10.1109/ccdc49329.2020.9163816 ◽

2020 ◽

Author(s):

Zhentian Jiao ◽

Youmin Zhang ◽

Lingxia Mu ◽

Jing Xin ◽

Shangbin Jiao ◽

...

Keyword(s):

Real Time ◽

Forest Fire ◽

Learning Strategy ◽

Fire Detection ◽

Forest Fire Detection

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A New Real-Time Fire Detection Method Based On Infrared Image

2019 IEEE 7th International Conference on Computer Science and Network Technology (ICCSNT) ◽

10.1109/iccsnt47585.2019.8962498 ◽

2019 ◽

Author(s):

Chongshuang Qin ◽

Minglun Zhang ◽

Wen He ◽

Chuanliang Guan ◽

Wenfei Sun ◽

...

Keyword(s):

Real Time ◽

Detection Method ◽

Infrared Image ◽

Fire Detection

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Real-time AVHRR forest fire detection in Mexico (1998-2000)

International Journal of Remote Sensing ◽

10.1080/01431160305003 ◽

2003 ◽

Vol 24 (1) ◽

pp. 9-22 ◽

Cited By ~ 20

Author(s):

I. Galindo ◽

P. López-Pérez ◽

M. Evangelista-Salazar

Keyword(s):

Real Time ◽

Forest Fire ◽

Fire Detection ◽

Forest Fire Detection

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