Fire Recognition Based on Multiple Features of Video Images

DOI

10.2991/iccsee.2013.401How to use a DOI?

Keywords

fire detection, multiple features,feature extraction, support vector machine, image recognition

Abstract

As traditional fire detection techniques have many disadvantages, the fire image automatic recognition algorithm based on video image processing is studied. After the images are preprocessed, multiple fire features will be extracted. Feature extraction has a great influence on fire recognition accuracy. According to video sequence features and the characteristic difference from the flame and other things in background, many flame features such as frame similarity, geometry, color, shape and other features are extracted. Grid searching method is utilized for support vector machine (SVM) to select better parameters. Then these features including frame similarity, red saturation value, area, eccentricity, circularity degree and other features of flame and other interferences are trained by SVM, and finally the fire images can be recognized. The experimental results show that the algorithm is effective, automatic fire detection has higher accuracy and decreases false alarm ratio.

Copyright

© 2013, the Authors. Published by Atlantis Press.

Open Access

This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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TY  - CONF
AU  - Li-hong ZHANG
AU  - Xiu-qing LIU
PY  - 2013/03
DA  - 2013/03
TI  - Fire Recognition Based on Multiple Features of Video Images
BT  - Proceedings of the 2nd International Conference on Computer Science and Electronics Engineering (ICCSEE 2013)
PB  - Atlantis Press
SP  - 1597
EP  - 1600
SN  - 1951-6851
UR  - https://doi.org/10.2991/iccsee.2013.401
DO  - 10.2991/iccsee.2013.401
ID  - ZHANG2013/03
ER  -