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.
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Kim, Y., Kang, M., Kim, JM. (2012). High-Performance Video Based Fire Detection Algorithms Using a Multi-core Architecture. In: Huang, DS., Gan, Y., Gupta, P., Gromiha, M.M. (eds) Advanced Intelligent Computing Theories and Applications. With Aspects of Artificial Intelligence. ICIC 2011. Lecture Notes in Computer Science(), vol 6839. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-25944-9_62
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DOI: https://doi.org/10.1007/978-3-642-25944-9_62
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-25943-2
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