Early Smoke Detection on Video Using Wavelet Energy

  • Muhammad Zulfiqar Shafar Telkom University
  • Tjokorda Agung Budi Wirayuda Telkom University
  • Febryanti Sthevanie Telkom University
Abstract views: 466 , PDF downloads: 314


Most of the smoke detection system these days still using sensors that have to receive specific particles before it could give a warning. But, this system takes some time to react and quite difficult to place in spacious room or the outdoor. To overcome this, there is some research that build smoke detection system using many kind video processing technique that could provide early warning. In this research, wavelet energy was used to detect smoke in the video.  To determine candidate blocks in a frame that contain smoke, this research performed background subtraction and color analysis based on HSV color space. Then implementing spatial analysis and spatio-temporal analysis by using wavelet energy method and accumulative motion orientation to detect the smoke. This system using combination of dataset from previous research [1], downloaded from various sources and self-made dataset. Based on testing process using those dataset, this system reaches 91.05% accuracy for block-level and 72.22% accuracy for frame-level.

Keywords: Accumulative motion orientation, smoke detection, spatial analysis, spatio-temporal analysis, video processing, wavelet energy


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K. Dimitropoulos, P. Barmpoutis and N. Grammalidis, "Smoke Detection Using Spatio-Temporal Analysis, Motion Modelling and Dynamic Texture Recognition," 2014.

K. Avgerinakis, A. Briassouli and I. Kompatsiaris, "Smoke Detection Using Temporal HOGHOF Descriptors and Energy Colour Statistics from Video," International Workshop on Multi-Sensor Systems and Networks for Fire Detection and Management, 2012.

F. Gomez-Rodriguez, B. C. Arrue and A. Ollero, "Smoke Monitoring and Measurement Using Image Processing," Application to Forest Fires, pp. 404-409, 2003.

B. U. Toreyin, Y. Dedeoglu and A. E. Cetin, "Wavelet Based Real-Time Smoke Detection in Video," 2005.

K. Dimitropoulos, P. Barmpoutis and N. Grammalidis, "Higher Order Linear Dynamical Systems for Smoke Detection in Video Surveillance Applications," 2016.

M. R. Islam, "Wavelets, its Application and Technique in signal and image," 2011.

J. H. Bear, "What Is The HSV (Hue, Saturation, Value) in Color Model," 3 Maret 2017. [Online]. Available: https://www.thoughtco.com/what-is-hsv-in-design-1078068. [Accessed 16 Mei 2017].

"Color," Microsoft, [Online]. Available: https://msdn.microsoft.com/ru-ru/library/dn742482(v=vs.85).aspx. [Accessed 13 Juli 2017].

F. Yuan, "A Fast Accumulative Motion Orientation Model Based On Integral Image For Video Smoke Detection," 2008.

J. A. Ojo and J. A. Oladosu, "Video-based Smoke Detection Algorithms: A Chronological Survey," 2014.

K. Markham, "Simple guide to confusion matrix terminology," 25 Maret 2014. [Online]. Available: http://www.dataschool.io/simple-guide-to-confusion-matrix-terminology/. [Accessed 18 Juni 2017].

P. B. Pagar and A. N. Shaikh, "Real Time based Fire & Smoke Detection without Sensor by Image Processing," 2013.

C. Junzhou, Y. Yong and P. Qiang, "Dynamic Analysis for Video Based Smoke Detection," 2013.

W. H. Li, B. Fu, L. Xiao and Y. Wang, "A Video Smoke Detection Algorithm Based on Wavelet Energy and Optical Flow Eigen-values," 2013.

J. Park, B. Ko and J. Nam, "Wildfire Smoke Detection Using SpatioTemporal Bag-of-Features of Smoke," 2012.

Y. Xiong, "Building text hierarchichal structure by suing confusion matrix," International Conference on BioMedical Engineering and Iinformatics, pp. 1250-1254, 2012.

B. U. Toreyin, Y. Dedeoglu and A. E. Cetin, "Contour Based Smoke Detection in Video using Wavelets," 2006.

"A Digital Video Primer: An Introduction to DV Production, Post-Production, and Delivery," 2006.

D. W. Dodson, "THE ART OF READING SMOKE," 2005. [Online]. Available: http://www.fireengineering.com/articles/print/volume-158/issue-9/features/the-art-of-reading-smoke.html. [Accessed 7 July 2017].

How to Cite
Shafar, M. Z., Wirayuda, T. A. B., & Sthevanie, F. (2017). Early Smoke Detection on Video Using Wavelet Energy. Indonesia Journal on Computing (Indo-JC), 2(2), 79-90. https://doi.org/10.21108/INDOJC.2017.2.2.180
Computer Science