Duncan, D.B.[David B.],
Kantor, S.[Sherwood],
Spectral imaging method and apparatus,
US_Patent5,677,532, Oct 14, 1997
WWW Link.
Fire Detection.
BibRef
9710
Bushman, B.B.[Boyd B.],
Plume or combustion detection by time sequence differentiation,
US_Patent5,793,889, Aug 11, 1998
WWW Link.
BibRef
9808
Marques, J.S.[Jorge S.],
Jorge, P.M.[Pedro M.],
Visual inspection of a combustion process in a thermoelectric plant,
SP(80), No. 8, August 2000, pp. 1577-1589.
0008
BibRef
Phillips, III, W.[Walter],
Shah, M.[Mubarak],
da Vitoria Lobo, N.[Niels],
Flame recognition in video,
PRL(23), No. 1-3, January 2002, pp. 319-327.
Elsevier DOI
0201
BibRef
Earlier:
WACV00(224-229).
IEEE DOI
0010
Color (essentially based on face/skin recognition systems) and
motion. Trains on color, then finds it.
BibRef
Töreyin, B.U.[B. Ugur],
Dedeoglu, Y.[Yigithan],
Güdükbay, U.[Ugur],
Çetin, A.E.[A. Enis],
Computer vision based method for real-time fire and flame detection,
PRL(27), No. 1, 1 January 2006, pp. 49-58.
Elsevier DOI
0512
BibRef
Habiboglu, Y.H.[Yusuf Hakan],
Günay, O.[Osman],
Çetin, A.E.[A. Enis],
Covariance matrix-based fire and flame detection method in video,
MVA(23), No. 6, November 2012, pp. 1103-1113.
WWW Link.
1210
BibRef
Toreyin, B.U.[B. Ugur],
Cetin, A.E.[A. Enis],
Volatile Organic Compound Plume Detection Using Wavelet Analysis of
Video,
ICIP08(1836-1839).
IEEE DOI
0810
BibRef
Toreyin, B.U.,
Dedeoglu, Y.,
Cetin, A.E.,
Flame Detection in Video Using Hidden Markov Models,
ICIP05(II: 1230-1233).
IEEE DOI
0512
BibRef
Kose, K.[Kivanc],
Grammalidis, N.[Nikolaos],
Yilmaz, E.[Erdal],
Cetin, A.E.[A. Enis],
3D Forest Fire Propagation Simulation,
3DTV08(369-372).
IEEE DOI
0805
BibRef
Toreyin, B.U.[B. Ugur],
Cetin, A.E.[A. Enis],
Online Detection of Fire in Video,
Learning07(1-5).
IEEE DOI
0706
BibRef
Fernandes, A.M.[Armando M.],
Utkin, A.B.[Andrei B.],
Lavrov, A.V.[Alexander V.],
Vilar, R.M.[Rui M.],
Development of neural network committee machines for automatic forest
fire detection using lidar,
PR(37), No. 10, October 2004, pp. 2039-2047.
Elsevier DOI
0409
BibRef
Fernandes, A.M.[Armando M.],
Utkin, A.B.[Andrei B.],
Lavrov, A.V.[Alexander V.],
Vilar, R.M.[Rui M.],
Design of committee machines for classification of single-wavelength
lidar signals applied to early forest fire detection,
PRL(26), No. 5, April 2005, pp. 625-632.
Elsevier DOI
0501
BibRef
Chen, C.H.[Chao-Ho],
Kao, C.L.[Cheng-Liang],
Method and system for detecting fire in a predetermined area,
US_Patent7,098,796, Aug 29, 2006
WWW Link.
BibRef
0608
Celik, T.[Turgay],
Demirel, H.[Hasan],
Ozkaramanli, H.[Huseyin],
Uyguroglu, M.[Mustafa],
Fire detection using statistical color model in video sequences,
JVCIR(18), No. 2, April 2007, pp. 176-185.
Elsevier DOI
0711
Fire detection; Background subtraction; Change detection;
Moving object detection; Statistical color model
BibRef
Yuan, F.N.[Fei-Niu],
An integrated fire detection and suppression system based on widely
available video surveillance,
MVA(21), No. 6, October 2010, pp. 941-948.
WWW Link.
1011
BibRef
Yuan, F.N.[Fei-Niu],
A double mapping framework for extraction of shape-invariant features
based on multi-scale partitions with AdaBoost for video smoke detection,
PR(45), No. 12, December 2012, pp. 4326-4336.
Elsevier DOI
1208
Haar-like feature; LBP; Partition; Hu moment; Video smoke detection
BibRef
Borges, P.V.K.,
Izquierdo, E.[Ebroul],
A Probabilistic Approach for Vision-Based Fire Detection in Videos,
CirSysVideo(20), No. 5, May 2010, pp. 721-731.
IEEE DOI
1006
BibRef
Tasselli, G.,
Alimenti, F.,
Bonafoni, S.,
Basili, P.,
Roselli, L.,
Fire Detection by Microwave Radiometric Sensors:
Modeling a Scenario in the Presence of Obstacles,
GeoRS(48), No. 1, January 2010, pp. 314-324.
IEEE DOI
1001
BibRef
Zhou, B.,
Zhang, J.,
Wang, S.,
Reconstruction of flame temperature field with optical sectioning
method,
IET-IPR(5), No. 5, 2011, pp. 382-393.
DOI Link
1108
BibRef
Ko, B.C.,
Ham, S.J.,
Nam, J.Y.,
Modeling and Formalization of Fuzzy Finite Automata for Detection of
Irregular Fire Flames,
CirSysVideo(21), No. 12, December 2011, pp. 1903-1912.
IEEE DOI
1112
BibRef
Verstockt, S.[Steven],
Beji, T.[Tarek],
de Potter, P.[Pieterjan],
van Hoecke, S.[Sofie],
Sette, B.[Bart],
Merci, B.[Bart],
van de Walle, R.[Rik],
Video driven fire spread forecasting (f) using multi-modal LWIR and
visual flame and smoke data,
PRL(34), No. 1, 1 January 2013, pp. 62-69.
Elsevier DOI
1211
Video analysis; Multi-modal data fusion; Fire forecasting; Data
assimilation; Fire modeling
BibRef
Verstockt, S.[Steven],
Vanoosthuyse, A.[Alexander],
van Hoecke, S.[Sofie],
Lambert, P.[Peter],
van de Walle, R.[Rik],
Multi-sensor Fire Detection by Fusing Visual and Non-visual Flame
Features,
ICISP10(333-341).
Springer DOI
1006
BibRef
Rossi, L.,
Molinier, T.,
Akhloufi, M.,
Tison, Y.,
Pieri, A.,
Estimating the surface and volume of laboratory-scale wildfire fuel
using computer vision,
IET-IPR(6), No. 8, 2012, pp. 1031-1040.
DOI Link
1302
BibRef
Rossi, L.,
Akhloufi, M.,
Pieri, A.,
Rossi, J.L.,
Molinier, T.,
Image processing and vision for the study and the modeling of
spreading fires,
IPTA12(47-52)
IEEE DOI
1503
computer vision
BibRef
Mueller, M.[Martin],
Karasev, P.[Peter],
Kolesov, I.[Ivan],
Tannenbaum, A.[Allen],
Optical Flow Estimation for Flame Detection in Videos,
IP(22), No. 7, 2013, pp. 2786-2797.
IEEE DOI
1307
BibRef
Earlier:
A video analytics framework for amorphous and unstructured anomaly
detection,
ICIP11(2945-2948).
IEEE DOI
1201
flames; motion estimation; fire detection task
BibRef
Bae, S.J.[Su-Jung],
Hong, S.E.[Sung-Eun],
Choi, Y.J.[Yeong-Jae],
Yang, H.S.[Hyun S.],
Recursive Bayesian fire recognition using greedy margin-maximizing
clustering,
MVA(24), No. 8, November 2013, pp. 1605-1621.
WWW Link.
1310
BibRef
Tian, H.[Hongda],
Li, W.Q.[Wan-Qing],
Wang, L.[Lei],
Ogunbona, P.O.[Philip O.],
Smoke Detection in Video: An Image Separation Approach,
IJCV(106), No. 2, January 2014, pp. 192-209.
Springer DOI
1402
BibRef
Tian, H.[Hongda],
Li, W.Q.[Wan-Qing],
Ogunbona, P.O.[Philip O.],
Wang, L.[Lei],
Detection and Separation of Smoke From Single Image Frames,
IP(27), No. 3, March 2018, pp. 1164-1177.
IEEE DOI
1801
BibRef
Earlier:
Single Image Smoke Detection,
ACCV14(II: 87-101).
Springer DOI
1504
convex programming, feature extraction, image representation,
smoke, atmospheric scattering models, background components,
surveillance
BibRef
Dimitropoulos, K.[Kosmas],
Barmpoutis, P.[Panagiotis],
Grammalidis, N.[Nikos],
Spatio-Temporal Flame Modeling and Dynamic Texture Analysis for
Automatic Video-Based Fire Detection,
CirSysVideo(25), No. 2, February 2015, pp. 339-351.
IEEE DOI
1502
BibRef
Earlier: A2, A1, A3:
Real time video fire detection using spatio-temporal consistency
energy,
AVSS13(365-370)
IEEE DOI
1311
Classification algorithms
BibRef
Huo, H.Y.[Hong-Yuan],
Ni, Z.Y.[Zhuo-Ya],
Gao, C.X.[Cai-Xia],
Zhao, E.[Enyu],
Zhang, Y.Z.[Yu-Ze],
Lian, Y.[Yi],
Zhang, H.L.[Hui-Li],
Zhang, S.Y.[Shi-Yue],
Jiang, X.G.[Xiao-Guang],
Song, X.F.[Xian-Feng],
Zhou, P.[Ping],
Cui, T.J.[Tie-Jun],
A Study of Coal Fire Propagation with Remotely Sensed Thermal
Infrared Data,
RS(7), No. 3, 2015, pp. 3088-3113.
DOI Link
1504
BibRef
Du, X.M.[Xiao-Min],
Bernardes, S.[Sergio],
Cao, D.Y.[Dai-Yong],
Jordan, T.R.[Thomas R.],
Yan, Z.[Zhen],
Yang, G.[Guang],
Li, Z.P.[Zhi-Peng],
Self-Adaptive Gradient-Based Thresholding Method for Coal Fire
Detection Based on ASTER Data: Part 2, Validation and Sensitivity
Analysis,
RS(7), No. 3, 2015, pp. 2602-2626.
DOI Link
1504
BibRef
Du, X.M.[Xiao-Min],
Cao, D.Y.[Dai-Yong],
Mishra, D.[Deepak],
Bernardes, S.[Sergio],
Jordan, T.R.[Thomas R.],
Madden, M.[Marguerite],
Self-Adaptive Gradient-Based Thresholding Method for Coal Fire
Detection Using ASTER Thermal Infrared Data, Part I: Methodology and
Decadal Change Detection,
RS(7), No. 6, 2015, pp. 6576.
DOI Link
1507
BibRef
Ye, X.T.[Xiao-Ting],
Wu, S.S.[Sha-Sha],
Xu, J.J.[Jing-Jing],
Study on a Fire Detection System Based on Support Vector Machine,
Sensors(182), No. 11, November 2014, pp. 57-61.
HTML Version.
1504
BibRef
Wu, Z.H.[Zhao-Hui],
Zhou, Z.[Zhong],
Tian, D.[Delei],
Wu, W.[Wei],
Reconstruction of three-dimensional flame with color temperature,
VC(31), No. 5, May 2015, pp. 613-625.
WWW Link.
1505
BibRef
Foggia, P.,
Saggese, A.,
Vento, M.,
Real-Time Fire Detection for Video-Surveillance Applications Using a
Combination of Experts Based on Color, Shape, and Motion,
CirSysVideo(25), No. 9, September 2015, pp. 1545-1556.
IEEE DOI
1509
Color
BibRef
Zhang, X.D.[Xiao-Dong],
Scheving, B.[Beau],
Shoghli, B.[Bahareh],
Zygarlicke, C.[Chris],
Wocken, C.[Chad],
Quantifying Gas Flaring CH4 Consumption Using VIIRS,
RS(7), No. 8, 2015, pp. 9529.
DOI Link
1509
BibRef
Pu, Y.R.[Yong-Ren],
Chen, Y.J.[Yung-Jen],
Lee, S.H.[Su-Hsing],
Fire recognition based on correlation of segmentations by image
processing techniques,
MVA(26), No. 7-8, November 2015, pp. 849-856.
WWW Link.
1511
BibRef
Yuan, F.N.[Fei-Niu],
Fang, Z.J.[Zhi-Jun],
Wu, S.Q.[Shi-Qian],
Yang, Y.[Yong],
Fang, Y.M.[Yu-Ming],
Real-time image smoke detection using staircase searching-based dual
threshold AdaBoost and dynamic analysis,
IET-IPR(9), No. 10, 2015, pp. 849-856.
DOI Link
1511
feature extraction
BibRef
Liu, Z.G.[Zhao-Guang],
Yang, Y.[Yang],
Ji, X.H.[Xiu-Hua],
Flame detection algorithm based on a saliency detection technique and
the uniform local binary pattern in the YCbCr color space,
SIViP(10), No. 1, February 2016, pp. 277-284.
WWW Link.
1601
BibRef
Toulouse, T.[Tom],
Rossi, L.[Lucile],
Celik, T.[Turgay],
Akhloufi, M.A.[Moulay A.],
Automatic fire pixel detection using image processing: a comparative
analysis of rule-based and machine learning-based methods,
SIViP(10), No. 4, April 2016, pp. 647-654.
Springer DOI
1604
BibRef
Akhloufi, M.A.[Moulay A.],
Toulouse, T.[Tom],
Rossi, L.[Lucile],
Maldague, X.,
Multimodal three-dimensional vision for wildland fires detection and
analysis,
IPTA17(1-6)
IEEE DOI
1804
image fusion, image reconstruction,
image registration, image segmentation, infrared imaging,
wildland fires
BibRef
Chi, R.[Rui],
Lu, Z.M.[Zhe-Ming],
Ji, Q.G.[Qing-Ge],
Real-time multi-feature based fire flame detection in video,
IET-IPR(11), No. 1, January 2017, pp. 31-37.
DOI Link
1703
BibRef
Han, X.F.[Xian-Feng],
Jin, J.S.[Jesse S.],
Wang, M.J.[Ming-Jie],
Jiang, W.[Wei],
Gao, L.[Lei],
Xiao, L.P.[Li-Ping],
Video fire detection based on Gaussian Mixture Model and multi-color
features,
SIViP(11), No. 8, November 2017, pp. 1419-1425.
Springer DOI
1710
BibRef
Wang, Z.,
Liu, M.,
Dong, M.,
Wu, L.,
Riemannian Alternative Matrix Completion for Image-Based Flame
Recognition,
CirSysVideo(27), No. 11, November 2017, pp. 2490-2503.
IEEE DOI
1712
Combustion, Energy consumption, Image recognition, Manifolds,
Matrix decomposition, Optimization, Sparse matrices,
matrix factorization
BibRef
Fisher, D.[Daniel],
Wooster, M.J.[Martin J.],
Shortwave IR Adaption of the Mid-Infrared Radiance Method of Fire
Radiative Power (FRP) Retrieval for Assessing Industrial Gas Flaring
Output,
RS(10), No. 2, 2018, pp. xx-yy.
DOI Link
1804
BibRef
Zhong, Z.[Zhen],
Wang, M.J.[Min-Juan],
Shi, Y.K.[Yu-Kun],
Gao, W.L.[Wan-Lin],
A convolutional neural network-based flame detection method in video
sequence,
SIViP(12), No. 8, November 2018, pp. 1619-1627.
WWW Link.
1809
BibRef
Bu, F.J.[Feng-Ju],
Gharajeh, M.S.[Mohammad Samadi],
Intelligent and vision-based fire detection systems: A survey,
IVC(91), 2019, pp. 103803.
Elsevier DOI
1912
Fire detection system,
Artificial intelligence, Intelligent system, Vision-based system
BibRef
Yuan, F.N.[Fei-Niu],
Zhang, L.[Lin],
Xia, X.[Xue],
Huang, Q.H.[Qing-Hua],
Li, X.L.[Xue-Long],
A Gated Recurrent Network With Dual Classification Assistance for
Smoke Semantic Segmentation,
IP(30), 2021, pp. 4409-4422.
IEEE DOI
2104
Image segmentation, Semantics, Feature extraction, Task analysis,
Logic gates, Training,
convolutional neural network
BibRef
Frizzi, S.[Sebastien],
Bouchouicha, M.[Moez],
Ginoux, J.M.[Jean-Marc],
Moreau, E.[Eric],
Sayadi, M.[Mounir],
Convolutional neural network for smoke and fire semantic segmentation,
IET-IPR(15), No. 3, 2021, pp. 634-647.
DOI Link
2106
BibRef
Wilk-Jakubowski, J.[Jacek],
Stawczyk, P.[Pawel],
Ivanov, S.[Stefan],
Stankov, S.[Stanko],
The using of deep neural networks and natural mechanisms of acoustic
wave propagation for extinguishing flames,
IJCVR(12), No. 2, 2022, pp. 101-119.
DOI Link
2203
Detect, then put it our.
BibRef
Dou, Z.F.[Zeng-Fa],
Ma, X.K.[Xiao-Ke],
Xie, X.H.[Xiang-Hua],
Liu, H.[Hui],
Guo, C.B.[Chu-Bing],
A hybrid method of detecting flame from video stream,
IET-IPR(16), No. 11, 2022, pp. 2937-2946.
DOI Link
2208
BibRef
Yar, H.[Hikmat],
Hussain, T.[Tanveer],
Agarwal, M.[Mohit],
Khan, Z.A.[Zulfiqar Ahmad],
Gupta, S.K.[Suneet Kumar],
Baik, S.W.[Sung Wook],
Optimized Dual Fire Attention Network and Medium-Scale Fire
Classification Benchmark,
IP(31), 2022, pp. 6331-6343.
IEEE DOI
2210
Feature extraction, Image color analysis, Computational modeling,
Boats, Buildings, Forestry, Support vector machines, Fire detection,
attention mechanism
BibRef
Wu, Y.M.[Yu-Ming],
Cen, L.H.[Li-Hui],
Kan, S.C.[Shi-Chao],
Xie, Y.F.[Yong-Fang],
Multi-layer capsule network with joint dynamic routing for fire
recognition,
IVC(139), 2023, pp. 104825.
Elsevier DOI
2311
Fire recognition, Multi-layer capsule network,
Joint dynamic routing algorithm, Two-step training strategy
BibRef
Muhammad, K.[Khan],
Ullah, H.[Hayat],
Khan, S.[Salman],
Hijji, M.[Mohammad],
Lloret, J.[Jaime],
Efficient Fire Segmentation for Internet-of-Things-Assisted
Intelligent Transportation Systems,
ITS(24), No. 11, November 2023, pp. 13141-13150.
IEEE DOI
2311
BibRef
Yar, H.[Hikmat],
Ullah, W.[Waseem],
Ahmad-Khan, Z.[Zulfiqar],
Wook-Baik, S.[Sung],
An Effective Attention-based CNN Model for Fire Detection in Adverse
Weather Conditions,
PandRS(206), 2023, pp. 335-346.
Elsevier DOI Code:
WWW Link.
2312
Attention mechanism, Convolutional neural network,
Fire detection, Forest fire, Vehicle fire, Building fire, Remote sensing
BibRef
Giwa, O.[Oluwarotimi],
Benkrid, A.[Abdsamad],
A new flame-based colour space for efficient fire detection,
IET-IPR(18), No. 5, 2024, pp. 1229-1244.
DOI Link
2404
fires, image classification, image processing,
image segmentation, optimisation
BibRef
Yar, H.[Hikmat],
Khan, Z.A.[Zulfiqar Ahmad],
Rida, I.[Imad],
Ullah, W.[Waseem],
Kim, M.J.[Min Je],
Baik, S.W.[Sung Wook],
An efficient deep learning architecture for effective fire detection
in smart surveillance,
IVC(145), 2024, pp. 104989.
Elsevier DOI
2405
Aerial view, Attention mechanism, Convolutional neural network,
Environment monitoring, Fire detection, Remote sensing
BibRef
Ivanov, S.,
Stankov, S.,
Acoustic Extinguishing of Flames Detected By Deep Neural Networks In
Embedded Systems,
SmartCityApp21(307-312).
DOI Link
2201
BibRef
Verlekar, T.T.[Tanmay T.],
Bernardino, A.[Alexandre],
Video Based Fire Detection Using Xception and Conv-LSTM,
ISVC20(II:277-285).
Springer DOI
2103
BibRef
Wang, S.,
Yu, F.,
Zhou, C.,
Jiang, M.,
Straw Burning Detection Method Based on Improved Frame Difference
Method and Deep Learning,
ICIVC20(29-33)
IEEE DOI
2009
Feature extraction, Machine learning, Image segmentation,
Optical flow, Mathematics, Computer science, Textiles,
Frame difference method
BibRef
Mlích, J.[Jozef],
Koplík, K.[Karel],
Hradi, M.[Michal],
Zemcík, P.[Pavel],
Fire Segmentation in Still Images,
ACIVS20(27-37).
Springer DOI
2003
BibRef
Barmpoutis, P.[Panagiotis],
Stathaki, T.[Tania],
A Novel Framework for Early Fire Detection Using Terrestrial and Aerial
360-degree Images,
ACIVS20(63-74).
Springer DOI
2003
BibRef
Lehr, J.[Jan],
Gerson, C.[Christian],
Ajami, M.[Mohamad],
Krüger, J.[Jörg],
Development of a Fire Detection Based on the Analysis of Video Data by
Means of Convolutional Neural Networks,
IbPRIA19(II:497-507).
Springer DOI
1910
BibRef
Soszynska, A.[Agnieszka],
FireBIRD Mission Data for Gas Flaring Analysis,
PSIVTWS17(369-381).
Springer DOI
1806
BibRef
Avgerinakis, K.,
Giannakeris, P.,
Briassouli, A.,
Karakostas, A.,
Vrochidis, S.,
Kompatsiaris, I.,
LBP-Flow and Hybrid Encoding for Real-Time Water and Fire
Classification,
MSF17(412-418)
IEEE DOI
1802
Dynamics, Encoding, Neural networks, Real-time systems, Surveillance,
Videos, Vocabulary
BibRef
Wattanachote, K.[Kanoksak],
Lin, Z.H.[Ze-Hang],
Jiang, M.C.[Ming-Chao],
Li, L.W.[Liu-Wu],
Wang, G.L.[Gong-Liang],
Liu, W.Y.[Wen-Yin],
Fire and Smoke Dynamic Textures Characterization by Applying
Periodicity Index Based on Motion Features,
CVS17(507-517).
Springer DOI
1711
BibRef
Shi, L.[Lei],
Shi, F.F.[Fang-Fei],
Wang, T.[Teng],
Bu, L.P.[Le-Ping],
Hou, X.G.[Xin-Guo],
A new fire detection method based on the centroid variety of
consecutive frames,
ICIVC17(437-442)
IEEE DOI
1708
Fires, Image segmentation, Interference, Meters, Nickel, Standards,
Tracking, centroid variety, fire color model, video fire detection,
video, tracking, algorithm
BibRef
Li, S.Q.[Shuang-Qun],
Liu, W.[Wu],
Ma, H.D.[Hua-Dong],
Fu, H.Y.[Hui-Yuan],
Multi-attribute Based Fire Detection in Diverse Surveillance Videos,
MMMod17(I: 238-250).
Springer DOI
1701
BibRef
Choi, J.W.[Jong-Won],
Choi, J.Y.[Jin Young],
An Integrated Framework for 24-hours Fire Detection,
ACVR16(II: 463-479).
Springer DOI
1611
BibRef
Choi, J.W.[Jong-Won],
Choi, J.Y.[Jin Young],
Patch-based fire detection with online outlier learning,
AVSS15(1-6)
IEEE DOI
1511
fires
BibRef
di Lascio, R.[Rosario],
Greco, A.[Antonio],
Saggese, A.[Alessia],
Vento, M.[Mario],
Improving Fire Detection Reliability by a Combination of Videoanalytics,
ICIAR14(I: 477-484).
Springer DOI
1410
BibRef
Wang, H.C.[Hong-Cheng],
Finn, A.,
Erdinc, O.,
Vincitore, A.,
Spatial-temporal structural and dynamics features for Video Fire
Detection,
WACV13(513-519).
IEEE DOI
1303
BibRef
Morerio, P.[Pietro],
Marcenaro, L.[Lucio],
Regazzoni, C.S.[Carlo S.],
Gera, G.[Gianluca],
Early fire and smoke detection based on colour features and motion
analysis,
ICIP12(1041-1044).
IEEE DOI
1302
BibRef
Ravichandran, A.[Avinash],
Soatto, S.[Stefano],
Long-Range Spatio-Temporal Modeling of Video with Application to Fire
Detection,
ECCV12(II: 329-342).
Springer DOI
1210
BibRef
Collumeau, J.F.[Jean-Francois],
Laurent, H.[Helene],
Hafiane, A.[Adel],
Chetehouna, K.[Khaled],
Fire scene segmentations for forest fire characterization:
A comparative study,
ICIP11(2973-2976).
IEEE DOI
1201
BibRef
Dunnings, A.J.,
Breckon, T.P.[Toby P.],
Experimentally Defined Convolutional Neural Network Architecture
Variants for Non-Temporal Real-Time Fire Detection,
ICIP18(1558-1562)
IEEE DOI
1809
Task analysis, Complexity theory, Training,
Image color analysis, Kernel, Real-time systems, simplified CNN,
non-stationary visual fire detection
BibRef
Chenebert, A.[Audrey],
Breckon, T.P.[Toby P.],
Gaszczak, A.[Anna],
A non-temporal texture driven approach to real-time fire detection,
ICIP11(1741-1744).
IEEE DOI
1201
BibRef
Arias, L.[Luis],
Torres, S.[Sergio],
On the Flame Spectrum Recovery by Using a Low-Spectral Resolution
Sensor,
CIARP11(256-263).
Springer DOI
1111
BibRef
Molinier, T.,
Rossi, L.,
Akhloufi, M.,
Tison, Y.,
Stereovision based algorithm for measuring fire spreading
characteristics,
EUVIP10(82-85).
IEEE DOI
1110
BibRef
Qiu, T.[Tian],
Yan, Y.[Yong],
Lu, G.[Gang],
Watershed Transformation Based Identification of the Combustion Region
in an Oxy-coal Flame Image,
ICIG11(152-156).
IEEE DOI
1109
BibRef
Qiu, T.[Tian],
Yan, Y.[Yong],
Lu, G.[Gang],
A Medial Axis Extraction Algorithm for the Processing of Combustion
Flame Images,
ICIG11(182-186).
IEEE DOI
1109
BibRef
Wirth, M.[Michael],
Zaremba, R.[Ryan],
Flame Region Detection Based on Histogram Backprojection,
CRV10(167-174).
IEEE DOI
1005
BibRef
van Hamme, D.[David],
Veelaert, P.[Peter],
Philips, W.[Wilfried],
Teelen, K.[Kristof],
Fire Detection in Color Images Using Markov Random Fields,
ACIVS10(II: 88-97).
Springer DOI
1012
BibRef
Kolesov, I.,
Karasev, P.,
Tannenbaum, A.,
Haber, E.,
Fire and smoke detection in video with optimal mass transport based
optical flow and neural networks,
ICIP10(761-764).
IEEE DOI
1009
BibRef
Ham, S.J.[Sun-Jae],
Ko, B.C.[Byoung-Chul],
Nam, J.Y.[Jae-Yeal],
Fire-Flame Detection Based on Fuzzy Finite Automation,
ICPR10(3919-3922).
IEEE DOI
1008
BibRef
Rossi, L.,
Molinier, T.,
Akhloufi, M.,
Tison, Y.,
Measurement of laboratory fire spread experiments by stereovision,
IPTA10(506-510).
IEEE DOI
1007
BibRef
Gao, X.T.[Xiu-Ting],
Ma, X.H.[Xiao-Hu],
Simulation of fire based on improved particle system and texture
rendering,
IASP10(587-590).
IEEE DOI
1004
BibRef
Luo, Q.J.[Qin-Juan],
Han, N.[Ning],
Kan, J.M.[Jiang-Ming],
Wang, Z.[Zheng],
Effective Dynamic Object Detecting for Video-Based Forest Fire Smog
Recognition,
CISP09(1-5).
IEEE DOI
0910
BibRef
Xiao, J.[Jiang],
Li, J.[Jie],
Zhang, J.G.[Jun-Guo],
The Identification of Forest Fire Based on Digital Image Processing,
CISP09(1-5).
IEEE DOI
0910
BibRef
Hou, J.[Jie],
Qian, J.[Jiaru],
Zhao, Z.Z.[Zuo-Zhou],
Pan, P.[Peng],
Zhang, W.J.[Wei-Jing],
Fire Detection Algorithms in Video Images for High and Large-Span Space
Structures,
CISP09(1-5).
IEEE DOI
0910
BibRef
Akhloufi, M.A.[Moulay A.],
Rossi, L.[Lucile],
Abdelhadi, L.[Lilia],
Tison, Y.[Yves],
Dynamic fire modeling in Three-dimensional space,
IPTA08(1-7).
IEEE DOI
0811
BibRef
Han, D.I.[Dong-Il],
Lee, B.M.[Byoung-Moo],
Development of Early Tunnel Fire Detection Algorithm Using the Image
Processing,
ISVC06(II: 39-48).
Springer DOI
0611
BibRef
Du, Y.Z.[Ying-Zi],
Rodney, G.G.,
Schnieder, M.F.,
Brown, L.,
Automatic Ca2+ Sparks Detection System,
ICIP06(1941-1944).
IEEE DOI
0610
BibRef
Chen, T.H.[Thou-Ho],
Wu, P.H.[Ping-Hsueh],
Chiou, Y.C.[Yung-Chuen],
An early fire-detection method based on image processing,
ICIP04(III: 1707-1710).
IEEE DOI
0505
BibRef
Liu, C.B.[Che-Bin],
Ahuja, N.,
Vision based fire detection,
ICPR04(IV: 134-137).
IEEE DOI
0409
BibRef
Baldini, G.,
Combustion Analysis by Image Processing of Premixed Flames,
ICIP00(Vol II: 708-711).
IEEE DOI
0008
BibRef
Healey, G.,
Slater, D.A.,
Lin, T.,
Drda, B., and
Goedeke, A.D.,
A System for Real-Time Fire Detection,
CVPR93(605-606).
IEEE DOI Abstract:
HTML Version.
BibRef
9300
Chapter on Motion -- Human Motion, Surveillance, Tracking, Surveillance, Activities continues in
Surveillance Systems for Smoke Detection, Aerial Image Smoke Detection .