Citation Export
DC Field | Value | Language |
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dc.contributor.author | Jee, Dong Woo | - |
dc.contributor.author | Ko, Seong Min | - |
dc.contributor.author | Kasichainula, Kishore | - |
dc.contributor.author | Yeo, Injune | - |
dc.contributor.author | Cao, Yu | - |
dc.contributor.author | Seo, Jae Sun | - |
dc.date.issued | 2023-01-01 | - |
dc.identifier.issn | 1930-8833 | - |
dc.identifier.uri | https://aurora.ajou.ac.kr/handle/2018.oak/36942 | - |
dc.identifier.uri | https://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=85175233874&origin=inward | - |
dc.description.abstract | This 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.sponsorship | ACKNOWLEDGMENT 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.iso | eng | - |
dc.publisher | IEEE Computer Society | - |
dc.subject.mesh | Frame differences | - |
dc.subject.mesh | Images processing | - |
dc.subject.mesh | In-pixel processing | - |
dc.subject.mesh | In-sensor computing | - |
dc.subject.mesh | Multi-mode image processing | - |
dc.subject.mesh | Multimodes | - |
dc.subject.mesh | Nearpixel processing | - |
dc.subject.mesh | Pixel processing | - |
dc.subject.mesh | Sensor computing | - |
dc.subject.mesh | Temporal derivatives | - |
dc.subject.mesh | Vision sensors | - |
dc.title | A Time-Memory-based CMOS Vision Sensor with In-Pixel Temporal Derivative Computing for Multi-Mode Image Processing | - |
dc.type | Conference | - |
dc.citation.conferenceDate | 2023.9.11. ~ 2023.9.14. | - |
dc.citation.conferenceName | 49th IEEE European Solid State Circuits Conference, ESSCIRC 2023 | - |
dc.citation.edition | ESSCIRC 2023 - IEEE 49th European Solid State Circuits Conference | - |
dc.citation.endPage | 112 | - |
dc.citation.startPage | 109 | - |
dc.citation.title | European Solid-State Circuits Conference | - |
dc.citation.volume | 2023-September | - |
dc.identifier.bibliographicCitation | European Solid-State Circuits Conference, Vol.2023-September, pp.109-112 | - |
dc.identifier.doi | 10.1109/esscirc59616.2023.10268817 | - |
dc.identifier.scopusid | 2-s2.0-85175233874 | - |
dc.identifier.url | http://ieeexplore.ieee.org/xpl/conferences.jsp | - |
dc.subject.keyword | frame difference | - |
dc.subject.keyword | in-pixel processing | - |
dc.subject.keyword | in-sensor computing | - |
dc.subject.keyword | multi-mode image processing | - |
dc.subject.keyword | nearpixel processing | - |
dc.subject.keyword | temporal derivative | - |
dc.subject.keyword | vision sensor | - |
dc.type.other | Conference Paper | - |
dc.description.isoa | false | - |
dc.subject.subarea | Hardware and Architecture | - |
dc.subject.subarea | Electrical and Electronic Engineering | - |
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