Share Email Print
cover

Proceedings Paper • new

Smoke detection in video using dissipation function and support vector machine
Author(s): Qiang Zhang; Junhao Zhao; Jia Zhai; Jiaohao Zhang; Hong Cui
Format Member Price Non-Member Price
PDF $14.40 $18.00
cover GOOD NEWS! Your organization subscribes to the SPIE Digital Library. You may be able to download this paper for free. Check Access

Paper Abstract

A method for smoke detection in video is proposed. The camera monitoring the scene is assumed to be stationary. With the atmospheric scattering model, dissipation function is reflected the transmissivity between the background objects in the scene and the camera. Dark channel prior and fast bilateral filter are used for estimating dissipation function which is only the function of the depth of field. Based on dissipation function, visual background extractor (ViBe) can be used for detecting smoke as a result of smoke’s motion characteristics as well as detecting other moving targets. Later on, various characteristics of smoke are extracted. Color feature and high-frequency energy based on wavelet transformation is selected to constitute the final recognition vectors, and Support vector machine (SVM) is used as a classification model. The final experimental results show that the accuracy rate of this method for smoke detection can reach 90.1%.

Paper Details

Date Published: 9 August 2018
PDF: 8 pages
Proc. SPIE 10806, Tenth International Conference on Digital Image Processing (ICDIP 2018), 1080643 (9 August 2018); doi: 10.1117/12.2502874
Show Author Affiliations
Qiang Zhang, Beijing Institute of Environmental Features (China)
Junhao Zhao, Beijing Military Agency (China)
Jia Zhai, Beijing Institute of Environmental Features (China)
Jiaohao Zhang, Beijing Institute of Environmental Features (China)
Hong Cui, Beijing Institute of Environmental Features (China)


Published in SPIE Proceedings Vol. 10806:
Tenth International Conference on Digital Image Processing (ICDIP 2018)
Xudong Jiang; Jenq-Neng Hwang, Editor(s)

© SPIE. Terms of Use
Back to Top