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


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:Apr 18, 2024 at 11:38:49