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Fire Detection in H.264 Compressed Video | IEEE Conference Publication | IEEE Xplore

Fire Detection in H.264 Compressed Video


Abstract:

In this paper, we propose a compressed domain fire detection algorithm using macroblock types and Markov Model in H.264 video. Compressed domain method does not require d...Show More

Abstract:

In this paper, we propose a compressed domain fire detection algorithm using macroblock types and Markov Model in H.264 video. Compressed domain method does not require decoding to pixel domain, instead a syntax parser extracts syntax elements which are only available in compressed domain. Our method extracts only macroblock type and corresponding macroblock address information. Markov model with fire and non-fire models are evaluated using offline-trained data. Our experiments show that the algorithm is able to detect and identify fire event in compressed domain successfully, despite a small chunk of data is used in the process.
Date of Conference: 12-17 May 2019
Date Added to IEEE Xplore: 17 April 2019
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Conference Location: Brighton, UK

References

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