{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,10,30]],"date-time":"2026-10-30T16:29:28Z","timestamp":1793377768343,"version":"4.5.0"},"reference-count":79,"publisher":"Institute of Electrical and Electronics Engineers (IEEE)","issue":"9","license":[{"start":{"date-parts":[[2022,9,1]],"date-time":"2022-09-01T00:00:00Z","timestamp":1661990400000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/ieeexplore.ieee.org\/Xplorehelp\/downloads\/license-information\/IEEE.html"},{"start":{"date-parts":[[2022,9,1]],"date-time":"2022-09-01T00:00:00Z","timestamp":1661990400000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2022,9,1]],"date-time":"2022-09-01T00:00:00Z","timestamp":1661990400000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-037"}],"funder":[{"DOI":"10.13039\/501100011021","name":"Swiss National Centre of Competence in Research Robotics","doi-asserted-by":"publisher","id":[{"id":"10.13039\/501100011021","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["IEEE Trans. Circuits Syst. Video Technol."],"published-print":{"date-parts":[[2022,9]]},"DOI":"10.1109\/tcsvt.2022.3156653","type":"journal-article","created":{"date-parts":[[2022,3,3]],"date-time":"2022-03-03T20:28:12Z","timestamp":1646339292000},"page":"5776-5789","source":"Crossref","is-referenced-by-count":65,"title":["EDFLOW: Event Driven Optical Flow Camera With Keypoint Detection and Adaptive Block Matching"],"prefix":"10.1109","volume":"32","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-8435-7781","authenticated-orcid":false,"given":"Min","family":"Liu","sequence":"first","affiliation":[{"name":"Sensors Group, Institute of Neuroinformatics, University of Zurich and ETH Zurich, Zürich, Switzerland"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-5479-1141","authenticated-orcid":false,"given":"Tobi","family":"Delbruck","sequence":"additional","affiliation":[{"name":"Sensors Group, Institute of Neuroinformatics, University of Zurich and ETH Zurich, Zürich, Switzerland"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"263","reference":[{"key":"ref73","doi-asserted-by":"publisher","DOI":"10.1109\/MSP.2019.2928127"},{"key":"ref72","doi-asserted-by":"crossref","first-page":"134926","DOI":"10.1109\/ACCESS.2019.2941282","article-title":"Low latency event-based filtering and feature extraction for dynamic vision sensors in real-time FPGA applications","volume":"7","author":"rodriguez","year":"2019","journal-title":"IEEE Access"},{"key":"ref71","article-title":"Building blocks for Event-Based sensors","author":"berner","year":"2011"},{"key":"ref70","doi-asserted-by":"publisher","DOI":"10.1109\/ISCAS.2007.378616"},{"key":"ref76","doi-asserted-by":"publisher","DOI":"10.1177\/0278364917691115"},{"key":"ref77","doi-asserted-by":"publisher","DOI":"10.1109\/LRA.2018.2800793"},{"key":"ref74","doi-asserted-by":"publisher","DOI":"10.1007\/s11263-010-0390-2"},{"key":"ref39","article-title":"Unsupervised learning of dense optical flow, depth and egomotion from sparse event data","author":"ye","year":"2018","journal-title":"arXiv 1809 08625"},{"key":"ref75","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2015.7298925"},{"key":"ref38","doi-asserted-by":"publisher","DOI":"10.15607\/RSS.2018.XIV.062"},{"key":"ref78","author":"zhu","year":"2019","journal-title":"MVSEC Multivehicle Stereo Event Camera Dataset"},{"key":"ref79","doi-asserted-by":"publisher","DOI":"10.1109\/IROS40897.2019.8968520"},{"key":"ref33","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR42600.2020.00174"},{"key":"ref32","first-page":"1","article-title":"Event-based moving object detection and tracking","author":"mitrokhin","year":"2020","journal-title":"Proc IEEE\/RSJ Int Conf Intell Robots Syst (IROS)"},{"key":"ref31","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2019.01258"},{"key":"ref30","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2019.01256"},{"key":"ref37","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2020.2986748"},{"key":"ref36","doi-asserted-by":"publisher","DOI":"10.1109\/TCI.2019.2948787"},{"key":"ref35","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR42600.2020.00174"},{"key":"ref34","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2016.102"},{"key":"ref60","doi-asserted-by":"publisher","DOI":"10.1016\/j.neunet.2015.02.013"},{"key":"ref62","doi-asserted-by":"publisher","DOI":"10.5244\/C.31.33"},{"key":"ref61","doi-asserted-by":"publisher","DOI":"10.1109\/IROS.2016.7759610"},{"key":"ref63","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2019.01049"},{"key":"ref28","first-page":"361","article-title":"Real-time high speed motion prediction using fast aperture-robust event-driven visual flow","volume":"44","author":"akolkar","year":"2022","journal-title":"IEEE Trans Pattern Anal Mach Intell"},{"key":"ref64","article-title":"SE-Harris and eSUSAN: Asynchronous event-based corner detection using megapixel resolution CeleX-V camera","author":"li","year":"2021","journal-title":"arXiv 2105 00480"},{"key":"ref27","doi-asserted-by":"publisher","DOI":"10.3389\/fnins.2016.00176"},{"key":"ref65","doi-asserted-by":"publisher","DOI":"10.1117\/12.969046"},{"key":"ref66","doi-asserted-by":"publisher","DOI":"10.1109\/ICMLC.2014.7009151"},{"key":"ref29","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2018.00407"},{"key":"ref67","doi-asserted-by":"publisher","DOI":"10.1007\/978-1-4757-4474-3"},{"key":"ref68","first-page":"292","article-title":"A new diamond search algorithm for fast block matching motion estimation","volume":"1","author":"zhu","year":"1997","journal-title":"Proc Int Conf Neural Netw Signal Process (ICICS)"},{"key":"ref69","doi-asserted-by":"publisher","DOI":"10.1109\/ISCAS.2018.8351314"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1109\/LRA.2016.2647639"},{"key":"ref1","article-title":"Simultaneous optical flow and segmentation (SOFAS) using dynamic vision sensor","author":"stoffregen","year":"2018","journal-title":"arXiv 1805 12326"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.1109\/31.44346"},{"key":"ref22","first-page":"21","article-title":"Frame-free dynamic digital vision","volume":"1","author":"delbruck","year":"2008","journal-title":"Proc Intl Symp Secure-Lif Electron Adv Electron Quality Life Soc"},{"key":"ref21","first-page":"12","article-title":"Adaptive time-slice block-matching optical flow algorithm for dynamic vision sensors","author":"liu","year":"2018","journal-title":"Proc Brit Mach Vis Conf (BMVC)"},{"key":"ref24","doi-asserted-by":"publisher","DOI":"10.1109\/TNNLS.2013.2273537"},{"key":"ref23","doi-asserted-by":"publisher","DOI":"10.1016\/j.neunet.2011.11.001"},{"key":"ref26","doi-asserted-by":"publisher","DOI":"10.1109\/ROBIO.2015.7419043"},{"key":"ref25","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-319-19258-1_27"},{"key":"ref50","doi-asserted-by":"publisher","DOI":"10.1113\/jphysiol.1965.sp007638"},{"key":"ref51","doi-asserted-by":"publisher","DOI":"10.1109\/TCSVT.2016.2598703"},{"key":"ref59","author":"chen","year":"2021","journal-title":"Pixel collection circuit and optical flow sensor"},{"key":"ref58","author":"xiong","year":"2021","journal-title":"Optical flow computing method and computing device"},{"key":"ref57","doi-asserted-by":"publisher","DOI":"10.1109\/82.899640"},{"key":"ref56","doi-asserted-by":"publisher","DOI":"10.1023\/A:1008916202887"},{"key":"ref55","doi-asserted-by":"publisher","DOI":"10.1109\/72.217194"},{"key":"ref54","article-title":"Direction selective silicon retina that uses null inhibition","author":"benson","year":"1992","journal-title":"Proc Adv Neural Inf Process Syst (NIPS)"},{"key":"ref53","article-title":"Integrated optical motion detection","author":"tanner","year":"1986"},{"key":"ref52","doi-asserted-by":"publisher","DOI":"10.1109\/TCSVT.2015.2437077"},{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.5244\/C.31.16"},{"key":"ref11","first-page":"674","article-title":"An iterative image registration technique with an application to stereo vision","author":"lucas","year":"1981","journal-title":"Proc Intern Joint Conf Artificial Intel (IJCAI)"},{"key":"ref40","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2019.00108"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1109\/JSSC.2007.914337"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1002\/9781118927601"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2020.3008413"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.1109\/ISCAS.2010.5537149"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.1109\/JSSC.2014.2342715"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.1109\/ISCAS.2015.7168734"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.1109\/ISCAS.2008.4541871"},{"key":"ref19","author":"richardson","year":"2004","journal-title":"H 264 and MPEG-4 Video Compression Video Coding for Next-Generation Multimedia"},{"key":"ref4","first-page":"1","article-title":"Stereo dense depth tracking based on optical flow using frames and events","author":"hadviger","year":"2020","journal-title":"Advanced Robotics"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1109\/ICRA.2017.7989517"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1007\/s10514-009-9139-6"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1109\/LRA.2017.2658940"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1002\/rob.21764"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1260\/1756-8293.5.4.287"},{"key":"ref49","doi-asserted-by":"publisher","DOI":"10.1109\/ISCAS.2017.8050295"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1109\/ROBOT.2010.5509777"},{"key":"ref46","doi-asserted-by":"publisher","DOI":"10.1109\/ISCAS.2018.8351588"},{"key":"ref45","article-title":"HARMS: A hardware acceleration architecture for real-time event-based optical flow","author":"stumpp","year":"2021","journal-title":"arXiv 2112 06772"},{"key":"ref48","doi-asserted-by":"publisher","DOI":"10.1109\/TBCAS.2018.2834558"},{"key":"ref47","doi-asserted-by":"publisher","DOI":"10.1109\/ISCAS.2018.8351312"},{"key":"ref42","doi-asserted-by":"publisher","DOI":"10.1109\/3DV53792.2021.00030"},{"key":"ref41","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-58526-6_22"},{"key":"ref44","first-page":"5831","article-title":"Unsupervised learning of dense optical flow, depth and egomotion from sparse event data","author":"ye","year":"2020","journal-title":"Proc IEEE\/RSJ Int Conf Intell Robots Syst (IROS)"},{"key":"ref43","first-page":"1","article-title":"Self-Supervised learning of event-based optical flow with spiking neural networks","author":"hagenaars","year":"2021","journal-title":"Proc NIPS"}],"container-title":["IEEE Transactions on Circuits and Systems for Video Technology"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/76\/9875133\/09727106.pdf?arnumber=9727106","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2022,9,19]],"date-time":"2022-09-19T19:53:45Z","timestamp":1663617225000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/9727106\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2022,9]]},"references-count":79,"journal-issue":{"issue":"9"},"URL":"https:\/\/doi.org\/10.1109\/tcsvt.2022.3156653","relation":{},"ISSN":["1051-8215","1558-2205"],"issn-type":[{"value":"1051-8215","type":"print"},{"value":"1558-2205","type":"electronic"}],"subject":[],"published":{"date-parts":[[2022,9]]}}}