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Issue No. 06 - November/December (2009 vol. 29)
ISSN: 0272-1732
pp: 28-43
Joo-Young Kim , Korea Advanced Institute of Science and Technology
Minsu Kim , Korea Advanced Institute of Science and Technology
Seungjin Lee , Korea Advanced Institute of Science and Technology
Jinwook Oh , Korea Advanced Institute of Science and Technology
Sejong Oh , Korea Advanced Institute of Science and Technology
Hoi-Jun Yoo , Korea Advanced Institute of Science and Technology
ABSTRACT
<p>A proposed object recognition processor lightens its workload by estimating global region-of-interest features. A neuro-fuzzy controller performs intelligent ROI estimation by mimicking the human visual system, then manages the processor's overall pipeline stages using workload-aware task scheduling and applied database size control. The NFC performs workload-aware dynamic power management to reduce the proposed processor's power consumption.</p>
INDEX TERMS
multicore processor, object recognition, visual perception, three-stage task pipelined architecture, neuro-fuzzy controller, workload-aware dynamic power management
CITATION

J. Oh, H. Yoo, J. Kim, S. Lee, S. Oh and M. Kim, "Real-Time Object Recognition with Neuro-Fuzzy Controlled Workload-Aware Task Pipelining," in IEEE Micro, vol. 29, no. , pp. 28-43, 2009.
doi:10.1109/MM.2009.102
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