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A Time-Memory-based CMOS Vision Sensor with In-Pixel Temporal Derivative Computing for Multi-Mode Image Processing
  • Jee, Dong Woo ;
  • Ko, Seong Min ;
  • Kasichainula, Kishore ;
  • Yeo, Injune ;
  • Cao, Yu ;
  • Seo, Jae Sun
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dc.contributor.authorJee, Dong Woo-
dc.contributor.authorKo, Seong Min-
dc.contributor.authorKasichainula, Kishore-
dc.contributor.authorYeo, Injune-
dc.contributor.authorCao, Yu-
dc.contributor.authorSeo, Jae Sun-
dc.date.issued2023-01-01-
dc.identifier.issn1930-8833-
dc.identifier.urihttps://aurora.ajou.ac.kr/handle/2018.oak/36942-
dc.identifier.urihttps://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=85175233874&origin=inward-
dc.description.abstractThis paper presents in-pixel and near-pixel processing circuit techniques for multi-mode processing CMOS vision sensor. The new design includes a checkerboard patch-based pixel circuit and column-shared frame difference processing circuits that detect a patch-level temporal change and generate lb event signal. In-pixel time memory circuit is proposed to process a temporal derivative of the event in both area and power efficient way. The 324× 252 vision sensor is implemented in 0.18 μ m CMOS process and consumes 4.79 μ W @12.5fps showing FoM of 42.2pJ/pix. frame in the patch mode operation for frame difference-based motion detection and temporal derivative generation.-
dc.description.sponsorshipACKNOWLEDGMENT This work was supported in part by the National Research Foundation (NRF) of Korea under Grants 2021R1A2C4002496 and 2019R1A5A1027055, and COCOSYS in JUMP2.0, an SRC program sponsored by DARPA. The EDA tools were in part supported by IDEC.-
dc.language.isoeng-
dc.publisherIEEE Computer Society-
dc.subject.meshFrame differences-
dc.subject.meshImages processing-
dc.subject.meshIn-pixel processing-
dc.subject.meshIn-sensor computing-
dc.subject.meshMulti-mode image processing-
dc.subject.meshMultimodes-
dc.subject.meshNearpixel processing-
dc.subject.meshPixel processing-
dc.subject.meshSensor computing-
dc.subject.meshTemporal derivatives-
dc.subject.meshVision sensors-
dc.titleA Time-Memory-based CMOS Vision Sensor with In-Pixel Temporal Derivative Computing for Multi-Mode Image Processing-
dc.typeConference-
dc.citation.conferenceDate2023.9.11. ~ 2023.9.14.-
dc.citation.conferenceName49th IEEE European Solid State Circuits Conference, ESSCIRC 2023-
dc.citation.editionESSCIRC 2023 - IEEE 49th European Solid State Circuits Conference-
dc.citation.endPage112-
dc.citation.startPage109-
dc.citation.titleEuropean Solid-State Circuits Conference-
dc.citation.volume2023-September-
dc.identifier.bibliographicCitationEuropean Solid-State Circuits Conference, Vol.2023-September, pp.109-112-
dc.identifier.doi10.1109/esscirc59616.2023.10268817-
dc.identifier.scopusid2-s2.0-85175233874-
dc.identifier.urlhttp://ieeexplore.ieee.org/xpl/conferences.jsp-
dc.subject.keywordframe difference-
dc.subject.keywordin-pixel processing-
dc.subject.keywordin-sensor computing-
dc.subject.keywordmulti-mode image processing-
dc.subject.keywordnearpixel processing-
dc.subject.keywordtemporal derivative-
dc.subject.keywordvision sensor-
dc.type.otherConference Paper-
dc.description.isoafalse-
dc.subject.subareaHardware and Architecture-
dc.subject.subareaElectrical and Electronic Engineering-
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