FIRE DETECTION IN H.264 COMPRESSED VIDEO

Savcı M. M., Yildirim Y., Saygili G., Töreyin B. U.

44th IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), Brighton, Birleşik Krallık, 12 - 17 Mayıs 2019, ss.8310-8314 identifier identifier

  • Yayın Türü: Bildiri / Tam Metin Bildiri
  • Doi Numarası: 10.1109/icassp.2019.8683666
  • Basıldığı Şehir: Brighton
  • Basıldığı Ülke: Birleşik Krallık
  • Sayfa Sayıları: ss.8310-8314
  • Anahtar Kelimeler: fire detection, compressed domain, macroblock type, H.264/AVC
  • İstanbul Teknik Üniversitesi Adresli: Evet

Özet

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 offlinetrained 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.