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Conference Paper: REMOT: A Hardware-Software Architecture for Attention-Guided Multi-Object Tracking with Dynamic Vision Sensors on FPGAs

TitleREMOT: A Hardware-Software Architecture for Attention-Guided Multi-Object Tracking with Dynamic Vision Sensors on FPGAs
Authors
GAO, YWANG, SSo, HKH
Issue Date2022
PublisherACM.
Citation
Proceedings of the 2022 ACM/SIGDA International Symposium on Field-Programmable Gate Arrays, p. 158-168 How to Cite?
DOI: http://dx.doi.org/10.1145/3490422.3502365
Persistent Identifierhttp://hdl.handle.net/10722/323333
ISBN
9781450391498

 

DC FieldValueLanguage
dc.contributor.authorGAO, Y-
dc.contributor.authorWANG, S-
dc.contributor.authorSo, HKH-
dc.date.accessioned2022-12-09T10:44:54Z-
dc.date.available2022-12-09T10:44:54Z-
dc.date.issued2022-
dc.identifier.citationProceedings of the 2022 ACM/SIGDA International Symposium on Field-Programmable Gate Arrays, p. 158-168-
dc.identifier.isbn9781450391498-
dc.identifier.urihttp://hdl.handle.net/10722/323333-
dc.languageeng-
dc.publisherACM. -
dc.relation.ispartofProceedings of the 2022 ACM/SIGDA International Symposium on Field-Programmable Gate Arrays-
dc.titleREMOT: A Hardware-Software Architecture for Attention-Guided Multi-Object Tracking with Dynamic Vision Sensors on FPGAs-
dc.typeConference_Paper-
dc.identifier.emailSo, HKH: hso@eee.hku.hk-
dc.identifier.authoritySo, HKH=rp00169-
dc.identifier.doi10.1145/3490422.3502365-
dc.identifier.hkuros342958-
dc.identifier.spage158-
dc.identifier.epage168-
dc.publisher.placeNew York, NY, USA-

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