High-Performance video based fire detection algorithms using a multi-core architecture

Authors:
Yongmin Kim;Myeongsu Kang;Jong-Myon Kim
Affiliations:
School of Electrical Engineering, University of Ulsan, Ulsan, South Korea;School of Electrical Engineering, University of Ulsan, Ulsan, South Korea;School of Electrical Engineering, University of Ulsan, Ulsan, South Korea
Venue:
ICIC'11 Proceedings of the 7th international conference on Advanced Intelligent Computing Theories and Applications: with aspects of artificial intelligence
Year:
2011

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Abstract

As fire accidents usually cause economic and environmental damage, including the loss of human lives, video-based fire detection has become more appealing in surveillance systems. However, video based fire detection algorithms demand tremendous computational and I/O requirements. To meet these requirements, we introduce an SIMD (Single Instruction Multiple Data) based multi-core architecture that consists of 16 processing elements (PEs) and small local memory. In addition, we compare the performance and efficiency of the multi-core architecture with a commercial Texas Instrument digital signal processor (TI DSP) to demonstrate the potential for improved performance of the multi-core architecture. Experimental results indicate that the multi-core architecture is 27.18 times and 3.89 times better than TI DSP in terms of execution time and energy efficiency, respectively.