Camera-Based Techniques

In the last decades, huge improvements in the computational power of computers and decreasing cost of imaging sensors have made it possible to use video-based fire detection techniques in real-time applications. Most video fire detection algorithms use visible range cameras because they are much cheaper than infrared (thermal) and time-of-flight cameras.

[1]  Shahriar B. Shokouhi,et al.  Classification of benign and malignant masses based on Zernike moments , 2011, Comput. Biol. Medicine.

[2]  Zhengguang Xu,et al.  Automatic Fire Smoke Detection Based on Image Visual Features , 2007, 2007 International Conference on Computational Intelligence and Security Workshops (CISW 2007).

[3]  Yingen Xiong,et al.  Mobile panoramic imaging system , 2010, 2010 IEEE Computer Society Conference on Computer Vision and Pattern Recognition - Workshops.

[4]  Bir Bhanu,et al.  Fusion of color and infrared video for moving human detection , 2007, Pattern Recognit..

[5]  Takeo Kanade,et al.  A System for Video Surveillance and Monitoring , 2000 .

[6]  A. Enis Çetin,et al.  Entropy-Functional-Based Online Adaptive Decision Fusion Framework With Application to Wildfire Detection in Video , 2012, IEEE Transactions on Image Processing.

[7]  Allen Tannenbaum,et al.  Fire and smoke detection in video with optimal mass transport based optical flow and neural networks , 2010, 2010 IEEE International Conference on Image Processing.

[8]  Mahmood Fathy,et al.  Key frames selection into panoramic mosaics , 2009, 2009 7th International Conference on Information, Communications and Signal Processing (ICICS).

[9]  Simone Calderara,et al.  Smoke Detection in Video Surveillance: A MoG Model in the Wavelet Domain , 2008, ICVS.

[10]  Shengping Zhang,et al.  Dynamic image mosaic via SIFT and dynamic programming , 2013, Machine Vision and Applications.

[11]  A. Enis Çetin,et al.  Real-time fire and flame detection in video , 2005, Proceedings. (ICASSP '05). IEEE International Conference on Acoustics, Speech, and Signal Processing, 2005..

[12]  Markus Loepfe,et al.  An image processing technique for fire detection in video images , 2006 .

[13]  Wang Run-sheng.  A Survey on Fire Detection and Application Based on Video Image Analysis , 2006 .

[14]  Luigi di Stefano,et al.  An effective real-time mosaicing algorithm apt to detect motion through background subtraction using a PTZ camera , 2005, IEEE Conference on Advanced Video and Signal Based Surveillance, 2005..

[15]  Marimuthu Palaniswami,et al.  Smoke detection in video using wavelets and support vector machines , 2009 .

[16]  Dmitry Chetverikov,et al.  Dynamic Texture Detection Based on Motion Analysis , 2009, International Journal of Computer Vision.

[17]  Dieter Schmalstieg,et al.  Real-time panoramic mapping and tracking on mobile phones , 2010, 2010 IEEE Virtual Reality Conference (VR).

[18]  A. Enis Çetin,et al.  Computer vision based method for real-time fire and flame detection , 2006, Pattern Recognit. Lett..

[19]  Turgay Çelik,et al.  Fire detection using statistical color model in video sequences , 2007, J. Vis. Commun. Image Represent..

[20]  Geoffrey Hunter.  What Computers Can't Do , 1988, Philosophy.

[21]  A. Enis Çetin,et al.  Real-time wildfire detection using correlation descriptors , 2011, 2011 19th European Signal Processing Conference.

[22]  A. A. Polezhaev,et al.  Period doubling and chaotic transient in a model of chain-branching combustion wave propagation , 2010, Proceedings of the Royal Society A: Mathematical, Physical and Engineering Sciences.

[23]  Steven Verstockt,et al.  Video fire detection - Review , 2013, Digit. Signal Process..

[24]  Steven Verstockt,et al.  Multi-sensor Fire Detection by Fusing Visual and Non-visual Flame Features , 2010, ICISP.

[25]  Turgay Çelik,et al.  Fire and smoke detection without sensors: Image processing based approach , 2007, 2007 15th European Signal Processing Conference.

[26]  Feiniu Yuan,et al.  A fast accumulative motion orientation model based on integral image for video smoke detection , 2008, Pattern Recognit. Lett..

[27]  Fatih Murat Porikli,et al.  Region Covariance: A Fast Descriptor for Detection and Classification , 2006, ECCV.

[28]  Richard Szeliski,et al.  Eliminating ghosting and exposure artifacts in image mosaics , 2001, Proceedings of the 2001 IEEE Computer Society Conference on Computer Vision and Pattern Recognition. CVPR 2001.

[29]  Dongil Han,et al.  Real-Time Fire Detection Using Camera Sequence Image in Tunnel Environment , 2007, ICIC.

[30]  Moulay A. Akhloufi,et al.  On the use of stereovision to develop a novel instrumentation system to extract geometric fire fronts characteristics , 2011 .

[31]  Mark J. Huiskes,et al.  DynTex: A comprehensive database of dynamic textures , 2010, Pattern Recognit. Lett..

[32]  Narendra Ahuja,et al.  Vision based fire detection , 2004, ICPR 2004.

[33]  Kristen Grauman,et al.  Kernelized locality-sensitive hashing for scalable image search , 2009, 2009 IEEE 12th International Conference on Computer Vision.

[34]  Dmitry Chetverikov,et al.  Analysis and performance evaluation of optical flow features for dynamic texture recognition , 2007, Signal Process. Image Commun..

[35]  Ebroul Izquierdo,et al.  A Probabilistic Approach for Vision-Based Fire Detection in Videos , 2010, IEEE Transactions on Circuits and Systems for Video Technology.

[36]  Chao-Ho Chen,et al.  An early fire-detection method based on image processing , 2004, 2004 International Conference on Image Processing, 2004. ICIP '04..

[37]  ByoungChul Ko,et al.  Early fire detection algorithm based on irregular patterns of flames and hierarchical Bayesian Networks , 2010 .

[38]  J. Czarnigowski,et al.  Chaotic Combustion in Spark Ignition Engines , 2003 .

[39]  V. Alarcon-Aquino,et al.  Wavelet-based smoke detection in outdoor video sequences , 2010, 2010 53rd IEEE International Midwest Symposium on Circuits and Systems.

[40]  Turgay Celik,et al.  Fast and Efficient Method for Fire Detection Using Image Processing , 2010 .

[41]  G LoweDavid,et al.  Distinctive Image Features from Scale-Invariant Keypoints , 2004 .

[42]  A. Enis Çetin,et al.  Special issue on dynamic textures in video , 2011, Machine Vision and Applications.

[43]  Milan E. Soklic,et al.  Computers versus humans , 1998, SGCH.

[44]  A. Enis Çetin,et al.  Dynamic texture detection, segmentation and analysis , 2007, CIVR '07.

[45]  Eduardo Monari,et al.  A real-time image-to-panorama registration approach for background subtraction using pan-tilt-cameras , 2011, 2011 8th IEEE International Conference on Advanced Video and Signal Based Surveillance (AVSS).

[46]  Jian Wang,et al.  Multi-feature fusion based fast video flame detection , 2010 .

[47]  S. Verstockt.  Multi-modal video analysis for early fire detection , 2011 .

[48]  Feiniu Yuan,et al.  Video-based smoke detection with histogram sequence of LBP and LBPV pyramids , 2011 .

[49]  Ebroul Izquierdo,et al.  Efficient visual fire detection applied for video retrieval , 2008, 2008 16th European Signal Processing Conference.

[50]  Dmitry Chetverikov,et al.  A Brief Survey of Dynamic Texture Description and Recognition , 2005, CORES.

[51]  A. Enis Çetin,et al.  Image Description Using a Multiplier-Less Operator , 2009, IEEE Signal Processing Letters.

[52]  Luc Van Gool,et al.  Speeded-Up Robust Features (SURF) , 2008, Comput. Vis. Image Underst..

[53]  Stefano Soatto,et al.  Dynamic Textures , 2003, International Journal of Computer Vision.

[54]  Chih-Jen Lin,et al.  LIBSVM: A library for support vector machines , 2011, TIST.

[55]  Koby Crammer,et al.  Online Passive-Aggressive Algorithms , 2003, J. Mach. Learn. Res..

[56]  Kasim Tasdemir,et al.  Video based wildfire detection at night , 2009 .

[57]  A. Enis Çetin,et al.  Flame detection method in video using covariance descriptors , 2011, 2011 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).

[58]  Zhou Wang,et al.  Special issue on human vision and information theory , 2013, Signal Image Video Process..

[59]  Ramazan Gokberk Cinbis,et al.  Fire detection in infrared video using wavelet analysis , 2007 .

[60]  S. M. Mahbubur Rahman,et al.  Image fusion technique using multivariate statistical model for wavelet coefficients , 2013, Signal Image Video Process..

[61]  Fatih Murat Porikli,et al.  Changedetection.net: A new change detection benchmark dataset , 2012, 2012 IEEE Computer Society Conference on Computer Vision and Pattern Recognition Workshops.

[62]  Simone Calderara,et al.  Reliable smoke detection in the domains of image energy and color , 2008, 2008 15th IEEE International Conference on Image Processing.

[63]  A. Ollero,et al.  Smoke monitoring and measurement using image processing: application to forest fires , 2003, SPIE Defense + Commercial Sensing.

[64]  A. Enis Çetin,et al.  Contour based smoke detection in video using wavelets , 2006, 2006 14th European Signal Processing Conference.

[65]  Wilfried Philips,et al.  Fire Detection in Color Images Using Markov Random Fields , 2010, ACIVS.

[66]  Hasan Demirel,et al.  Fire detection in video sequences using a generic color model , 2009 .

[67]  Ramón Miralles,et al.  Object Discrimination by Infrared Image Processing , 2009, IWINAC.

[68]  Steven Verstockt,et al.  Video fire detection using non-visible light , 2011 .

[69]  Richard Baraniuk,et al.  The Dual-tree Complex Wavelet Transform , 2007 .

[70]  Matti Pietikäinen,et al.  Dynamic Texture Recognition Using Local Binary Patterns with an Application to Facial Expressions , 2007, IEEE Transactions on Pattern Analysis and Machine Intelligence.

[71]  Dieter Schmalstieg,et al.  Real-time self-localization from panoramic images on mobile devices , 2011, 2011 10th IEEE International Symposium on Mixed and Augmented Reality.

[72]  Paul Manneville,et al.  Instabilities, Chaos and Turbulence , 2010 .

[73]  Osman Günay.  Video processing algorithms for wildfire surveillance , 2015 .

[74]  A. Enis Çetin,et al.  Covariance matrix-based fire and flame detection method in video , 2012, Machine Vision and Applications.

[75]  Mubarak Shah,et al.  Flame recognition in video , 2002, Pattern Recognit. Lett..

[76]  Alessandro Bevilacqua,et al.  High-Quality Real Time Motion Detection Using PTZ Cameras , 2006, 2006 IEEE International Conference on Video and Signal Based Surveillance.

[77]  Matti Pietikäinen,et al.  Performance evaluation of texture measures with classification based on Kullback discrimination of distributions , 1994, Proceedings of 12th International Conference on Pattern Recognition.

[78]  Simone Calderara,et al.  Vision based smoke detection system using image energy and color information , 2011, Machine Vision and Applications.

[79]  Frederick W. Williams,et al.  Long wavelength video detection of fire in ship compartments , 2006 .

[80]  Dmitry Chetverikov,et al.  Detecting Regions of Dynamic Texture , 2007, SSVM.

[81]  Xiaojun Qi,et al.  A computer vision-based method for fire detection in color videos , 2009 .

[82]  Begoña C. Arrue,et al.  Smoke detection using image processing. , 2002 .

[83]  Shaohua Kevin Zhou,et al.  Video background retrieval using mosaic images , 2005, Proceedings. (ICASSP '05). IEEE International Conference on Acoustics, Speech, and Signal Processing, 2005..

[84]  Osman Günay,et al.  Fire Detection in Video Using LMS Based Active Learning , 2010 .

[85]  Paul A. Viola,et al.  Multi-modal volume registration by maximization of mutual information , 1996, Medical Image Anal..

[86]  John McCarthy,et al.  What Computers Still Can't Do , 1996, Artif. Intell..