17.1.4.3 Surveillance Systems, Applied to Fire and Flame Detection

Chapter Contents (Back)
Surveillance. Fire Detection. Flame Detection.
See also Forest Fire Evaluation, Wildfire Analysis, Brushfire Analysis, Fire Detection.

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
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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], Hradiš, 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 .


Last update:May 6, 2024 at 15:50:14