{"id":"https://openalex.org/W2062171519","doi":"https://doi.org/10.1109/icip.2014.7025040","title":"Real-time motion estimation based on event-based vision sensor","display_name":"Real-time motion estimation based on event-based vision sensor","publication_year":2014,"publication_date":"2014-10-01","ids":{"openalex":"https://openalex.org/W2062171519","doi":"https://doi.org/10.1109/icip.2014.7025040","mag":"2062171519"},"language":"en","primary_location":{"id":"doi:10.1109/icip.2014.7025040","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icip.2014.7025040","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2014 IEEE International Conference on Image Processing (ICIP)","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":false,"oa_status":"closed","oa_url":null,"any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5037427704","display_name":"Jun Haeng Lee","orcid":"https://orcid.org/0000-0002-5272-1841"},"institutions":[{"id":"https://openalex.org/I2250650973","display_name":"Samsung (South Korea)","ror":"https://ror.org/04w3jy968","country_code":"KR","type":"company","lineage":["https://openalex.org/I2250650973"]},{"id":"https://openalex.org/I144648050","display_name":"Yong In University","ror":"https://ror.org/035qaq447","country_code":"KR","type":"education","lineage":["https://openalex.org/I144648050"]}],"countries":["KR"],"is_corresponding":true,"raw_author_name":"Jun Haeng Lee","raw_affiliation_strings":["SAIT, SEC, Yongin-si, Gyeonggi-do, Korea","SAIT, SEC, San 14, Nongseo-dong, Giheung-gu, Yongin-si, Gyeonggi-do, Korea"],"affiliations":[{"raw_affiliation_string":"SAIT, SEC, Yongin-si, Gyeonggi-do, Korea","institution_ids":["https://openalex.org/I144648050"]},{"raw_affiliation_string":"SAIT, SEC, San 14, Nongseo-dong, Giheung-gu, Yongin-si, Gyeonggi-do, Korea","institution_ids":["https://openalex.org/I2250650973"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5031483606","display_name":"Kyoobin Lee","orcid":"https://orcid.org/0000-0003-4299-4923"},"institutions":[{"id":"https://openalex.org/I2250650973","display_name":"Samsung (South Korea)","ror":"https://ror.org/04w3jy968","country_code":"KR","type":"company","lineage":["https://openalex.org/I2250650973"]},{"id":"https://openalex.org/I144648050","display_name":"Yong In University","ror":"https://ror.org/035qaq447","country_code":"KR","type":"education","lineage":["https://openalex.org/I144648050"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Kyoobin Lee","raw_affiliation_strings":["SAIT, SEC, Yongin-si, Gyeonggi-do, Korea","SAIT, SEC, San 14, Nongseo-dong, Giheung-gu, Yongin-si, Gyeonggi-do, Korea"],"affiliations":[{"raw_affiliation_string":"SAIT, SEC, Yongin-si, Gyeonggi-do, Korea","institution_ids":["https://openalex.org/I144648050"]},{"raw_affiliation_string":"SAIT, SEC, San 14, Nongseo-dong, Giheung-gu, Yongin-si, Gyeonggi-do, Korea","institution_ids":["https://openalex.org/I2250650973"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5110936759","display_name":"Hyunsurk Ryu","orcid":null},"institutions":[{"id":"https://openalex.org/I144648050","display_name":"Yong In University","ror":"https://ror.org/035qaq447","country_code":"KR","type":"education","lineage":["https://openalex.org/I144648050"]},{"id":"https://openalex.org/I2250650973","display_name":"Samsung (South Korea)","ror":"https://ror.org/04w3jy968","country_code":"KR","type":"company","lineage":["https://openalex.org/I2250650973"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Hyunsurk Ryu","raw_affiliation_strings":["SAIT, SEC, Yongin-si, Gyeonggi-do, Korea","SAIT, SEC, San 14, Nongseo-dong, Giheung-gu, Yongin-si, Gyeonggi-do, Korea"],"affiliations":[{"raw_affiliation_string":"SAIT, SEC, Yongin-si, Gyeonggi-do, Korea","institution_ids":["https://openalex.org/I144648050"]},{"raw_affiliation_string":"SAIT, SEC, San 14, Nongseo-dong, Giheung-gu, Yongin-si, Gyeonggi-do, Korea","institution_ids":["https://openalex.org/I2250650973"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5034424989","display_name":"Paul K. J. Park","orcid":null},"institutions":[{"id":"https://openalex.org/I2250650973","display_name":"Samsung (South Korea)","ror":"https://ror.org/04w3jy968","country_code":"KR","type":"company","lineage":["https://openalex.org/I2250650973"]},{"id":"https://openalex.org/I144648050","display_name":"Yong In University","ror":"https://ror.org/035qaq447","country_code":"KR","type":"education","lineage":["https://openalex.org/I144648050"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Paul K. J. Park","raw_affiliation_strings":["SAIT, SEC, Yongin-si, Gyeonggi-do, Korea","SAIT, SEC, San 14, Nongseo-dong, Giheung-gu, Yongin-si, Gyeonggi-do, Korea"],"affiliations":[{"raw_affiliation_string":"SAIT, SEC, Yongin-si, Gyeonggi-do, Korea","institution_ids":["https://openalex.org/I144648050"]},{"raw_affiliation_string":"SAIT, SEC, San 14, Nongseo-dong, Giheung-gu, Yongin-si, Gyeonggi-do, Korea","institution_ids":["https://openalex.org/I2250650973"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5107699132","display_name":"Chang-Woo Shin","orcid":null},"institutions":[{"id":"https://openalex.org/I144648050","display_name":"Yong In University","ror":"https://ror.org/035qaq447","country_code":"KR","type":"education","lineage":["https://openalex.org/I144648050"]},{"id":"https://openalex.org/I2250650973","display_name":"Samsung (South Korea)","ror":"https://ror.org/04w3jy968","country_code":"KR","type":"company","lineage":["https://openalex.org/I2250650973"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Chang-Woo Shin","raw_affiliation_strings":["SAIT, SEC, Yongin-si, Gyeonggi-do, Korea","SAIT, SEC, San 14, Nongseo-dong, Giheung-gu, Yongin-si, Gyeonggi-do, Korea"],"affiliations":[{"raw_affiliation_string":"SAIT, SEC, Yongin-si, Gyeonggi-do, Korea","institution_ids":["https://openalex.org/I144648050"]},{"raw_affiliation_string":"SAIT, SEC, San 14, Nongseo-dong, Giheung-gu, Yongin-si, Gyeonggi-do, Korea","institution_ids":["https://openalex.org/I2250650973"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5102152500","display_name":"Jooyeon Woo","orcid":null},"institutions":[{"id":"https://openalex.org/I144648050","display_name":"Yong In University","ror":"https://ror.org/035qaq447","country_code":"KR","type":"education","lineage":["https://openalex.org/I144648050"]},{"id":"https://openalex.org/I2250650973","display_name":"Samsung (South Korea)","ror":"https://ror.org/04w3jy968","country_code":"KR","type":"company","lineage":["https://openalex.org/I2250650973"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Jooyeon Woo","raw_affiliation_strings":["SAIT, SEC, Yongin-si, Gyeonggi-do, Korea","SAIT, SEC, San 14, Nongseo-dong, Giheung-gu, Yongin-si, Gyeonggi-do, Korea"],"affiliations":[{"raw_affiliation_string":"SAIT, SEC, Yongin-si, Gyeonggi-do, Korea","institution_ids":["https://openalex.org/I144648050"]},{"raw_affiliation_string":"SAIT, SEC, San 14, Nongseo-dong, Giheung-gu, Yongin-si, Gyeonggi-do, Korea","institution_ids":["https://openalex.org/I2250650973"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100698866","display_name":"Junseok Kim","orcid":"https://orcid.org/0000-0002-4869-6313"},"institutions":[{"id":"https://openalex.org/I2250650973","display_name":"Samsung (South Korea)","ror":"https://ror.org/04w3jy968","country_code":"KR","type":"company","lineage":["https://openalex.org/I2250650973"]},{"id":"https://openalex.org/I144648050","display_name":"Yong In University","ror":"https://ror.org/035qaq447","country_code":"KR","type":"education","lineage":["https://openalex.org/I144648050"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Jun-Seok Kim","raw_affiliation_strings":["SAIT, SEC, Yongin-si, Gyeonggi-do, Korea","SAIT, SEC, San 14, Nongseo-dong, Giheung-gu, Yongin-si, Gyeonggi-do, Korea"],"affiliations":[{"raw_affiliation_string":"SAIT, SEC, Yongin-si, Gyeonggi-do, Korea","institution_ids":["https://openalex.org/I144648050"]},{"raw_affiliation_string":"SAIT, SEC, San 14, Nongseo-dong, Giheung-gu, Yongin-si, Gyeonggi-do, Korea","institution_ids":["https://openalex.org/I2250650973"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":7,"corresponding_author_ids":["https://openalex.org/A5037427704"],"corresponding_institution_ids":["https://openalex.org/I144648050","https://openalex.org/I2250650973"],"apc_list":null,"apc_paid":null,"fwci":0.2093,"has_fulltext":false,"cited_by_count":7,"citation_normalized_percentile":{"value":0.59743128,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":96},"biblio":{"volume":null,"issue":null,"first_page":"204","last_page":"208"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11992","display_name":"CCD and CMOS Imaging Sensors","score":0.9998000264167786,"subfield":{"id":"https://openalex.org/subfields/2208","display_name":"Electrical and Electronic Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T11992","display_name":"CCD and CMOS Imaging Sensors","score":0.9998000264167786,"subfield":{"id":"https://openalex.org/subfields/2208","display_name":"Electrical and Electronic Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10531","display_name":"Advanced Vision and Imaging","score":0.9993000030517578,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10502","display_name":"Advanced Memory and Neural Computing","score":0.9983000159263611,"subfield":{"id":"https://openalex.org/subfields/2208","display_name":"Electrical and Electronic Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.7970540523529053},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7731798887252808},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.685291051864624},{"id":"https://openalex.org/keywords/motion-estimation","display_name":"Motion estimation","score":0.6518105864524841},{"id":"https://openalex.org/keywords/event","display_name":"Event (particle physics)","score":0.6361232995986938},{"id":"https://openalex.org/keywords/motion","display_name":"Motion (physics)","score":0.5690562725067139},{"id":"https://openalex.org/keywords/gesture","display_name":"Gesture","score":0.4620788097381592},{"id":"https://openalex.org/keywords/image-sensor","display_name":"Image sensor","score":0.4601595401763916},{"id":"https://openalex.org/keywords/object","display_name":"Object (grammar)","score":0.444557249546051},{"id":"https://openalex.org/keywords/interface","display_name":"Interface (matter)","score":0.41826409101486206},{"id":"https://openalex.org/keywords/motion-detection","display_name":"Motion detection","score":0.4103720188140869}],"concepts":[{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.7970540523529053},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7731798887252808},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.685291051864624},{"id":"https://openalex.org/C10161872","wikidata":"https://www.wikidata.org/wiki/Q557891","display_name":"Motion estimation","level":2,"score":0.6518105864524841},{"id":"https://openalex.org/C2779662365","wikidata":"https://www.wikidata.org/wiki/Q5416694","display_name":"Event (particle physics)","level":2,"score":0.6361232995986938},{"id":"https://openalex.org/C104114177","wikidata":"https://www.wikidata.org/wiki/Q79782","display_name":"Motion (physics)","level":2,"score":0.5690562725067139},{"id":"https://openalex.org/C207347870","wikidata":"https://www.wikidata.org/wiki/Q371174","display_name":"Gesture","level":2,"score":0.4620788097381592},{"id":"https://openalex.org/C76935873","wikidata":"https://www.wikidata.org/wiki/Q209121","display_name":"Image sensor","level":2,"score":0.4601595401763916},{"id":"https://openalex.org/C2781238097","wikidata":"https://www.wikidata.org/wiki/Q175026","display_name":"Object (grammar)","level":2,"score":0.444557249546051},{"id":"https://openalex.org/C113843644","wikidata":"https://www.wikidata.org/wiki/Q901882","display_name":"Interface (matter)","level":4,"score":0.41826409101486206},{"id":"https://openalex.org/C2780624872","wikidata":"https://www.wikidata.org/wiki/Q852453","display_name":"Motion detection","level":3,"score":0.4103720188140869},{"id":"https://openalex.org/C173608175","wikidata":"https://www.wikidata.org/wiki/Q232661","display_name":"Parallel computing","level":1,"score":0.0},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0},{"id":"https://openalex.org/C129307140","wikidata":"https://www.wikidata.org/wiki/Q6795880","display_name":"Maximum bubble pressure method","level":3,"score":0.0},{"id":"https://openalex.org/C157915830","wikidata":"https://www.wikidata.org/wiki/Q2928001","display_name":"Bubble","level":2,"score":0.0},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icip.2014.7025040","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icip.2014.7025040","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2014 IEEE International Conference on Image Processing (ICIP)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.8399999737739563,"display_name":"Peace, Justice and strong institutions","id":"https://metadata.un.org/sdg/16"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":15,"referenced_works":["https://openalex.org/W152410141","https://openalex.org/W1961645301","https://openalex.org/W1971752093","https://openalex.org/W1998339166","https://openalex.org/W2014522023","https://openalex.org/W2016574277","https://openalex.org/W2020709302","https://openalex.org/W2088876847","https://openalex.org/W2124929138","https://openalex.org/W2129181505","https://openalex.org/W2132870234","https://openalex.org/W3003662786","https://openalex.org/W6606171110","https://openalex.org/W6655721067","https://openalex.org/W7028741750"],"related_works":["https://openalex.org/W2066003895","https://openalex.org/W2537963312","https://openalex.org/W2537762514","https://openalex.org/W2349788282","https://openalex.org/W577271088","https://openalex.org/W2051121715","https://openalex.org/W2017155773","https://openalex.org/W188808486","https://openalex.org/W3158873841","https://openalex.org/W2025846505"],"abstract_inverted_index":{"Fast":[0],"and":[1,67],"efficient":[2,31],"motion":[3,73,89],"estimation":[4],"is":[5],"essential":[6],"for":[7,18,71],"a":[8,29,44,79],"number":[9],"of":[10,38,43],"applications":[11],"including":[12],"the":[13,53,84,88],"gesture-based":[14],"user":[15],"interface":[16],"(UI)":[17],"portable":[19],"devices":[20],"like":[21],"smart":[22],"phones.":[23],"In":[24],"this":[25],"paper,":[26],"we":[27],"propose":[28],"highly":[30],"method":[32,60,81],"that":[33],"can":[34],"estimate":[35],"four":[36],"degree":[37],"freedom":[39],"(DOF)":[40],"motional":[41],"components":[42],"moving":[45],"object":[46],"based":[47],"on":[48],"an":[49],"event-based":[50],"vision":[51,55],"sensor,":[52],"dynamic":[54],"sensor":[56],"(DVS).":[57],"The":[58],"proposed":[59],"finds":[61],"informative":[62],"events":[63],"occurred":[64],"at":[65],"edges":[66],"estimates":[68],"their":[69],"velocities":[70],"global":[72],"analysis.":[74],"We":[75],"will":[76],"also":[77],"describe":[78],"novel":[80],"to":[82],"correct":[83],"aperture":[85],"problem":[86],"in":[87],"estimation.":[90]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":2},{"year":2022,"cited_by_count":1},{"year":2021,"cited_by_count":1},{"year":2020,"cited_by_count":1},{"year":2016,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}