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, United Kingdom, 12 - 17 May 2019, pp.8310-8314 identifier identifier

  • Publication Type: Conference Paper / Full Text
  • Doi Number: 10.1109/icassp.2019.8683666
  • City: Brighton
  • Country: United Kingdom
  • Page Numbers: pp.8310-8314
  • Keywords: fire detection, compressed domain, macroblock type, H.264/AVC
  • Istanbul Technical University Affiliated: Yes

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 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.