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Implementation and Performance Evaluation of a Video-Equipped Real-Time Fire Detection Method at Different Resolutions using a GPU

  • Journal of The Korea Society of Computer and Information
  • Abbr : JKSCI
  • 2015, 20(1), pp.1-10
  • Publisher : The Korean Society Of Computer And Information
  • Research Area : Engineering > Computer Science

손동구 1 Cheol Hong Kim 2 Jong Myon Kim 3

1
2전남대학교
3울산대학교

Accredited

ABSTRACT

In this paper, we propose an efficient parallel implementation method of a widely used complexfour-stage fire detection algorithm using a graphics processing unit (GPU) to improve the performance ofthe algorithm and analyze the performance of the parallel implementation method. In addition, we use seven different resolution videos (QVGA, VGA, SVGA, XGA, SXGA+, UXGA, QXGA) as inputs of thefour-stage fire detection algorithm. Moreover, we compare the performance of the GPU-based approachwith that of the CPU implementation for each different resolution video. Experimental results using fivedifferent fire videos with seven different resolutions indicate that the execution time of the proposed GPUimplementation outperforms that of the CPU implementation in terms of execution time and takes a25.11ms per frame for the UXGA resolution video, satisfying real-time processing (30 frames per second,30fps) of the fire detection algorithm.

Citation status

* References for papers published after 2023 are currently being built.

This paper was written with support from the National Research Foundation of Korea.