{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,7,27]],"date-time":"2026-07-27T21:05:44Z","timestamp":1785186344629,"version":"3.55.0"},"reference-count":55,"publisher":"Institute of Electrical and Electronics Engineers (IEEE)","license":[{"start":{"date-parts":[[2020,1,1]],"date-time":"2020-01-01T00:00:00Z","timestamp":1577836800000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/ieeexplore.ieee.org\/Xplorehelp\/downloads\/license-information\/IEEE.html"},{"start":{"date-parts":[[2020,1,1]],"date-time":"2020-01-01T00:00:00Z","timestamp":1577836800000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2020,1,1]],"date-time":"2020-01-01T00:00:00Z","timestamp":1577836800000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-037"}],"funder":[{"name":"Ford University Research Program and Umm Al-Qura University"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["IEEE Trans. Comput. Imaging"],"published-print":{"date-parts":[[2020]]},"DOI":"10.1109\/tci.2019.2948787","type":"journal-article","created":{"date-parts":[[2019,10,23]],"date-time":"2019-10-23T19:55:57Z","timestamp":1571860557000},"page":"396-407","source":"Crossref","is-referenced-by-count":18,"title":["DAViS Camera Optical Flow"],"prefix":"10.1109","volume":"6","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-6701-4250","authenticated-orcid":false,"given":"Mohammed","family":"Almatrafi","sequence":"first","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-0818-7688","authenticated-orcid":false,"given":"Keigo","family":"Hirakawa","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"263","reference":[{"key":"ref39","first-page":"3","article-title":"Back to basics: Unsupervised learning of optical flow via brightness constancy and motion smoothness","author":"jason","year":"0","journal-title":"Proc Eur Conf Comput Vis"},{"key":"ref38","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2015.316"},{"key":"ref33","doi-asserted-by":"publisher","DOI":"10.1007\/BF00056772"},{"key":"ref32","doi-asserted-by":"publisher","DOI":"10.1007\/s11263-013-0644-x"},{"key":"ref31","doi-asserted-by":"publisher","DOI":"10.1023\/B:VISI.0000011205.11775.fd"},{"key":"ref30","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2010.5539939"},{"key":"ref37","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-319-46493-0_29"},{"key":"ref36","doi-asserted-by":"publisher","DOI":"10.1023\/B:VISI.0000029664.99615.94"},{"key":"ref35","doi-asserted-by":"publisher","DOI":"10.1109\/TNN.2002.1031944"},{"key":"ref34","doi-asserted-by":"publisher","DOI":"10.1109\/34.250844"},{"key":"ref28","doi-asserted-by":"publisher","DOI":"10.1109\/JSSC.2014.2342715"},{"key":"ref27","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2019.2903179"},{"key":"ref29","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.1991.139707"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1016\/0004-3702(81)90024-2"},{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1023\/B:VISI.0000045324.43199.43"},{"key":"ref20","first-page":"21","article-title":"Frame-free dynamic digital vision","author":"delbruck","year":"0","journal-title":"Proc Int Symp Secure-Life Electron Adv Electron Quality Life Soc"},{"key":"ref22","doi-asserted-by":"publisher","DOI":"10.1109\/ISCAS.2017.8050295"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.1109\/ICIP.2012.6467270"},{"key":"ref24","doi-asserted-by":"publisher","DOI":"10.15607\/RSS.2018.XIV.062"},{"key":"ref23","article-title":"ABMOF: A novel optical flow algorithm for dynamic vision sensors","author":"min","year":"2018","journal-title":"arXiv 1805 03988"},{"key":"ref26","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2019.00108"},{"key":"ref25","article-title":"Unsupervised learning of dense optical flow and depth from sparse event data","author":"ye","year":"2018","journal-title":"arXiv 1809 08625"},{"key":"ref50","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2018.00407"},{"key":"ref51","article-title":"Simultaneous optical flow and segmentation (sofas) using dynamic vision sensor","author":"stoffregen","year":"2018","journal-title":"arXiv 1805 12326"},{"key":"ref55","doi-asserted-by":"publisher","DOI":"10.3389\/fnins.2016.00176"},{"key":"ref54","article-title":"Pyramidal implementation of the affine Lucas Kanade feature tracker description of the algorithm","author":"bouguet","year":"2001"},{"key":"ref53","doi-asserted-by":"publisher","DOI":"10.1016\/0167-2789(92)90242-F"},{"key":"ref52","doi-asserted-by":"publisher","DOI":"10.7551\/mitpress\/7132.001.0001"},{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1111\/j.1365-2818.2011.03565.x"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.15607\/RSS.2015.XI.036"},{"key":"ref40","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2017.179"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2017.616"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2018.00568"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1016\/j.neunet.2011.11.001"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-319-19258-1_27"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.1109\/JPROC.2014.2347207"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.1109\/TNNLS.2013.2273537"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.3389\/fnins.2015.00137"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.3389\/fnins.2016.00176"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1007\/BF01420984"},{"key":"ref3","first-page":"674","article-title":"An iterative image registration technique with an application to stereo vision","author":"lucas","year":"0","journal-title":"Proc 7th Int Joint Conf Artif Intell"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1109\/JSSC.2007.914337"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1007\/s11263-010-0390-2"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.3389\/fnins.2013.00223"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1109\/ISCAS.2009.5117867"},{"key":"ref49","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2016.102"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2017.2769655"},{"key":"ref46","doi-asserted-by":"publisher","DOI":"10.1006\/cviu.1996.0006"},{"key":"ref45","doi-asserted-by":"publisher","DOI":"10.1023\/A:1013539930159"},{"key":"ref48","doi-asserted-by":"publisher","DOI":"10.1109\/IVCNZ.2008.4762119"},{"key":"ref47","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-642-03061-1_2"},{"key":"ref42","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2014.452"},{"key":"ref41","first-page":"7251","article-title":"Unflow: Unsupervised learning of optical flow with a bidirectional census loss","author":"meister","year":"0","journal-title":"Proc 32nd AAAI Conf Artif Intell"},{"key":"ref44","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.1998.710828"},{"key":"ref43","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2014.144"}],"container-title":["IEEE Transactions on Computational Imaging"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/6745852\/8977810\/08880496.pdf?arnumber=8880496","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2022,4,27]],"date-time":"2022-04-27T17:32:20Z","timestamp":1651080740000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/8880496\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2020]]},"references-count":55,"URL":"https:\/\/doi.org\/10.1109\/tci.2019.2948787","relation":{},"ISSN":["2333-9403","2334-0118","2573-0436"],"issn-type":[{"value":"2333-9403","type":"electronic"},{"value":"2334-0118","type":"electronic"},{"value":"2573-0436","type":"print"}],"subject":[],"published":{"date-parts":[[2020]]}}}