Fire Detection in H.264 Compressed Video

Murat Muhammet Savci; Yasin Yildirim; Görkem Saygili; Behçet Ugur Töreyin

ICASSP 2019accepted0 citations

Fire Detection in H.264 Compressed Video

Murat Muhammet Savci, Yasin Yildirim, Görkem Saygili, Behçet Ugur Töreyin

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.

BibTeX

@inproceedings{icassp2019_firedetectioninh,
  title = {Fire Detection in H.264 Compressed Video},
  author = {Murat Muhammet Savci and Yasin Yildirim and Görkem Saygili and Behçet Ugur Töreyin},
  booktitle = {ICASSP 2019},
  year = {2019}
}