A 22.8GOPS 2.83mW neuro-fuzzy Object Detection Engine for fast multi-object recognition

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dc.contributor.authorKim, Minsuko
dc.contributor.authorKim, Joo-Youngko
dc.contributor.authorLee, Seungjinko
dc.contributor.authorOh, Jinwookko
dc.contributor.authorYoo, Hoi-Junko
dc.date.accessioned2013-03-18T23:33:41Z-
dc.date.available2013-03-18T23:33:41Z-
dc.date.created2012-02-06-
dc.date.created2012-02-06-
dc.date.created2012-02-06-
dc.date.created2012-02-06-
dc.date.issued2009-06-16-
dc.identifier.citation2009 Symposium on VLSI Circuits, pp.260 - 261-
dc.identifier.urihttp://hdl.handle.net/10203/153627-
dc.description.abstractA neuro-fuzzy Object Detection Engine (ODE) is proposed as the pre-processing accelerator of multi-object recognition processor to reduce the computational complexity. It performs a fast and robust neuro-fuzzy object detection algorithm with Motion Estimator (ME) and Visual Attention Engine (VAE) within 1ms. The mixed mode implementation achieves 22.9GOPS 2.83mW ODE, and reduces the area by 59% and power consumption by 44%. The ODE can increase the frame rate by 2.09x and reduce power consumption by 38% of the multi-object recognition processor.-
dc.languageEnglish-
dc.publisherInstitute of Electrical and Electronics Engineers Inc.-
dc.titleA 22.8GOPS 2.83mW neuro-fuzzy Object Detection Engine for fast multi-object recognition-
dc.typeConference-
dc.identifier.wosid000272335000104-
dc.identifier.scopusid2-s2.0-70449396776-
dc.type.rimsCONF-
dc.citation.beginningpage260-
dc.citation.endingpage261-
dc.citation.publicationname2009 Symposium on VLSI Circuits-
dc.identifier.conferencecountryJA-
dc.identifier.conferencelocationKyoto-
dc.contributor.localauthorKim, Joo-Young-
dc.contributor.localauthorYoo, Hoi-Jun-
dc.contributor.nonIdAuthorKim, Minsu-
dc.contributor.nonIdAuthorLee, Seungjin-
dc.contributor.nonIdAuthorOh, Jinwook-
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