16.7.5.4 Surveillance Systems for Smoke Detection, Aerial Image Smoke Detection

Chapter Contents (Back)
Smoke Detection.

Tseng, D.C.[Din-Chang], Shieh, W.S.[Wern-Sheng],
Plume extraction using entropic thresholding and region growing,
PR(26), No. 5, May 1993, pp. 805-817.
WWW Link. 0401
BibRef
Earlier:
Plume segmentation using local entropic thresholding,
ICPR92(III:156-159).
IEEE DOI 9208
Smoke plumes. BibRef

Yuan, F.N.[Fei-Niu],
A fast accumulative motion orientation model based on integral image for video smoke detection,
PRL(29), No. 7, 1 May 2008, pp. 925-932.
WWW Link. 0804
Computer vision; Video smoke detection; Fire detection; Motion estimation; Orientation accumulation BibRef

Calderara, S.[Simone], Piccinini, P.[Paolo], Cucchiara, R.[Rita],
Vision based smoke detection system using image energy and color information,
MVA(22), No. 4, July 2011, pp. 705-719.
WWW Link. 1107
BibRef
Earlier:
Smoke Detection in Video Surveillance: A MoG Model in the Wavelet Domain,
CVS08(xx-yy).
Springer DOI 0805
BibRef
Earlier: A2, A1, A3:
Reliable smoke detection in the domains of image energy and color,
ICIP08(1376-1379).
IEEE DOI 0810
BibRef

Vezzani, R.[Roberto], Calderara, S.[Simone], Piccinini, P.[Paolo], Cucchiara, R.[Rita],
Smoke detection in video surveillance: The use of ViSOR (video surveillance on-line repository),
CIVR08(289-298). 0807
BibRef

Zhao, T., Ackerman, S., Guo, W.,
Dust and Smoke Detection for Multi-Channel Imagers,
RS(2), No. 10, October 2010, pp. 2347-2368.
DOI Link 1203
BibRef

Verstockt, S.[Steven], Poppe, C.[Chris], Van Hoecke, S.[Sofie], Hollemeersch, C.[Charles], Merci, B.[Bart], Sette, B.[Bart], Lambert, P.[Peter], van de Walle, R.[Rik],
Silhouette-based multi-sensor smoke detection: Coverage analysis of moving object silhouettes in thermal and visual registered images,
MVA(23), No. 6, November 2012, pp. 1243-1262.
WWW Link. 1210
BibRef

Dimitropoulos, K., Barmpoutis, P., Grammalidis, N.,
Higher Order Linear Dynamical Systems for Smoke Detection in Video Surveillance Applications,
CirSysVideo(27), No. 5, May 2017, pp. 1143-1154.
IEEE DOI 1705
Analytical models, Classification algorithms, Dynamics, Fires, Focusing, Spatiotemporal phenomena, Wavelet analysis, Bag of systems, dynamic texture analysis, higher order decomposition, linear dynamical systems, smoke, detection BibRef


Tripathi, A.K.[Abhishek Kumar], Swarup, S.[Shanti],
Visual Smoke Detection,
NTIRE16(I: 128-142).
Springer DOI 1704
BibRef

Yamaguchi, S.[Shiori], Hirai, K.[Keita], Horiuchi, T.[Takahiko],
Video Smoke Removal Based on Smoke Imaging Model and Space-Time Pixel Compensation,
CCIW17(43-54).
Springer DOI 1704
BibRef

Chen, D.[Da], Li, W.B.[Wen-Bin], Hall, P.[Peter],
Dense Motion Estimation for Smoke,
ACCV16(IV: 225-239).
Springer DOI 1704
BibRef

Wattanachote, K., Li, K., Wang, Y., Shih, T.K., Liu, W.,
Preliminary Investigation on Stationarity of Dynamic Smoke Texture and Dynamic Fire Texture Based on Motion Coherent Metric,
CMVIT17(99-104)
IEEE DOI 1704
computer vision BibRef

Bombrun, M.[Maxime], Barra, V.[Vincent], Harris, A.[Andrew],
Analysis of Thermal Video for Coarse to Fine Particle Tracking in Volcanic Explosion Plumes,
SCIA15(366-376).
Springer DOI 1506
BibRef

Filonenko, A., Hernandez, D.C., Jo, K.H.[Kang-Hyun],
Smoke detection for static cameras,
FCV15(1-4)
IEEE DOI 1506
cameras BibRef

Meng, Z., Koniges, A., He, Y., Willianms, S., Kurth, T., Cook, B., Deslippe, J., Bertozzi, A.L.,
OpenMP parallelization and optimization of graph-based machine learning algorithms,
LNCS(9903), Springer, 2016. In: OpenMP: Memory, Devices, and Tasks.
WWW Link. BibRef 0000

Hu, H.[Huiyi], Sunu, J.[Justin], Bertozzi, A.L.[Andrea L.],
Multi-class Graph Mumford-Shah Model for Plume Detection Using the MBO scheme,
EMMCVPR15(209-222).
Springer DOI 1504
BibRef

Merkurjev, E.[Ekaterina], Sunu, J.[Justin], Bertozzi, A.L.[Andrea L.],
Graph MBO method for multiclass segmentation of hyperspectral stand-off detection video,
ICIP14(689-693)
IEEE DOI 1502
Chemical plumes. BibRef

He, H.Q.[Hai-Qian], Peng, L.Q.[Li-Qun], Yang, D.[Deshun], Chen, X.[Xiaoou],
Smoke Detection Based on a Semi-supervised Clustering Model,
MMMod14(II: 291-298).
Springer DOI 1405
BibRef

Pahalawatta, K.K., Green, R.,
Particle Detection and Classification in Photoelectric Smoke Detectors Using Image Histogram Features,
DICTA13(1-8)
IEEE DOI 1402
image representation BibRef

Chen, J.Q.[Jia-Qiu], Wang, Y.W.[Yao-Wei], Tian, Y.H.[Yong-Hong], Huang, T.J.[Tie-Jun],
Wavelet based smoke detection method with RGB Contrast-image and shape constrain,
VCIP13(1-6)
IEEE DOI 1402
edge detection BibRef

Wang, Y.[Yue], Chua, T.W.[Teck Wee], Chang, R.[Richard], Pham, N.T.[Nam Trung],
Real-time smoke detection using texture and color features,
ICPR12(1727-1730).
WWW Link. 1302
BibRef

Pahalawatta, K.K., Green, R.,
Classifying Airborne Particles,
DICTA11(376-381).
IEEE DOI 1205
BibRef
Earlier:
Nano-scale particle classification using image histogram maximum value index of Rayleigh scattered images,
IVCNZ10(1-6).
IEEE DOI 1203
e.g. dust and smoke. BibRef

Maruta, H.[Hidenori], Nakamura, A.[Akihiro], Yamamichi, T.[Takeshi], Kurokawa, F.[Fujio],
Image based smoke detection with local Hurst exponent,
ICIP10(4653-4656).
IEEE DOI 1009
BibRef

Wan, V.[Victoria], Braun, W.J., Dean, C.B.[Charmaine B.], Henderson, S.,
A comparison of classification algorithms for the identification of smoke plumes from satellite images,
CGC10(332).
PDF File. 1006
BibRef

Kopilovic, I., Vágvölgyi, B., Szirányi, T.,
Application of Panoramic Annular Lens for Motion Analysis Tasks: Surveillance and Smoke Detection,
ICPR00(Vol IV: 714-717).
IEEE DOI 0009
BibRef

Chapter on Motion -- Feature-Based, Long Range, Motion and Structure Estimates, Tracking, Surveillance, Activities continues in
Hardware, Sensor and Camera Arrangements for Surveillance Systems .


Last update:Sep 25, 2017 at 16:36:46