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Real-time smoke detection using texture and color features | IEEE Conference Publication | IEEE Xplore

Real-time smoke detection using texture and color features


Abstract:

This paper presents a real-time smoke detection algorithm. A modified Center Symmetric Local Ternary Pattern (CS-LTP) is proposed as the smoke texture descriptor. The cha...Show More

Abstract:

This paper presents a real-time smoke detection algorithm. A modified Center Symmetric Local Ternary Pattern (CS-LTP) is proposed as the smoke texture descriptor. The change in background texture provides a means to differentiate between smoke and non-smoke region. Combined with the color information of smoke, our method is able to achieve real-time performance at minimum of 30 fps. The comparison with the state of art is presented as well. The experiment results show the proposed method can obtain good performance.
Date of Conference: 11-15 November 2012
Date Added to IEEE Xplore: 14 February 2013
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Conference Location: Tsukuba, Japan

References

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