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http://dx.doi.org/10.9708/jksci.2014.19.8.001

An Implementation of a Video-Equipped Real-Time Fire Detection Algorithm Using GPGPU  

Shon, Dong-Koo (School of Electrical, Electronics, and Computer Engineering, University of Ulsan)
Kim, Cheol-Hong (School of Electronics and Computer Engineering, Chonnam National University)
Kim, Jong-Myon (School of Electrical, Electronics, and Computer Engineering, University of Ulsan)
Publication Information
Journal of the Korea Society of Computer and Information / v.19, no.8, 2014 , pp. 1-10 More about this Journal
Abstract
This paper proposes a parallel implementation of the video based 4-stage fire detection algorithm using a general-purpose graphics processing unit (GPGPU) to support real-time processing of the high computational algorithm. In addition, this paper compares the performance of the GPGPU based fire detection implementation with that of the CPU implementation to show the effectiveness of the proposed method. Experimental results using five fire included videos with an SXGA ($1400{\times}1050$) resolution, the proposed GPGPU implementation achieves 6.6x better performance that the CPU implementation, showing 30.53ms per frame which satisfies real-time processing (30 frames per second, 30fps) of the fire detection algorithm.
Keywords
AFire detection algorithm; General-purpose graphics processing unit; Real-time processing;
Citations & Related Records
Times Cited By KSCI : 3  (Citation Analysis)
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