{"id":"https://openalex.org/W2792020476","doi":"https://doi.org/10.1109/tcsvt.2018.2805838","title":"Randomized Voting-Based Rigid-Body Motion Segmentation","display_name":"Randomized Voting-Based Rigid-Body Motion Segmentation","publication_year":2018,"publication_date":"2018-02-13","ids":{"openalex":"https://openalex.org/W2792020476","doi":"https://doi.org/10.1109/tcsvt.2018.2805838","mag":"2792020476"},"language":"en","primary_location":{"id":"doi:10.1109/tcsvt.2018.2805838","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tcsvt.2018.2805838","pdf_url":null,"source":{"id":"https://openalex.org/S115173108","display_name":"IEEE Transactions on Circuits and Systems for Video Technology","issn_l":"1051-8215","issn":["1051-8215","1558-2205"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Circuits and Systems for Video Technology","raw_type":"journal-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/A5064276223","display_name":"Heechul Jung","orcid":"https://orcid.org/0000-0002-3005-2560"},"institutions":[{"id":"https://openalex.org/I157485424","display_name":"Korea Advanced Institute of Science and Technology","ror":"https://ror.org/05apxxy63","country_code":"KR","type":"education","lineage":["https://openalex.org/I157485424"]}],"countries":["KR"],"is_corresponding":true,"raw_author_name":"Heechul Jung","raw_affiliation_strings":["School of Electrical Engineering, Korea Advanced Institute of Science and Technology, Daejeon, South Korea","School of Electrical Engineering, Korea Advanced Institute of Science and Technology, Daejeon, South Korea#TAB#"],"affiliations":[{"raw_affiliation_string":"School of Electrical Engineering, Korea Advanced Institute of Science and Technology, Daejeon, South Korea","institution_ids":["https://openalex.org/I157485424"]},{"raw_affiliation_string":"School of Electrical Engineering, Korea Advanced Institute of Science and Technology, Daejeon, South Korea#TAB#","institution_ids":["https://openalex.org/I157485424"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5017414944","display_name":"Jeongwoo Ju","orcid":"https://orcid.org/0000-0001-9636-1457"},"institutions":[{"id":"https://openalex.org/I157485424","display_name":"Korea Advanced Institute of Science and Technology","ror":"https://ror.org/05apxxy63","country_code":"KR","type":"education","lineage":["https://openalex.org/I157485424"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Jeongwoo Ju","raw_affiliation_strings":["Division of Future Vehicle, Korea Advanced Institute of Science and Technology, Daejeon, South Korea","[Division of Future Vehicle, Korea Advanced Institute of Science and Technology, Daejeon, South Korea]"],"affiliations":[{"raw_affiliation_string":"Division of Future Vehicle, Korea Advanced Institute of Science and Technology, Daejeon, South Korea","institution_ids":["https://openalex.org/I157485424"]},{"raw_affiliation_string":"[Division of Future Vehicle, Korea Advanced Institute of Science and Technology, Daejeon, South Korea]","institution_ids":["https://openalex.org/I157485424"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100606266","display_name":"Junmo Kim","orcid":"https://orcid.org/0000-0002-7174-7932"},"institutions":[{"id":"https://openalex.org/I157485424","display_name":"Korea Advanced Institute of Science and Technology","ror":"https://ror.org/05apxxy63","country_code":"KR","type":"education","lineage":["https://openalex.org/I157485424"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Junmo Kim","raw_affiliation_strings":["School of Electrical Engineering, Korea Advanced Institute of Science and Technology, Daejeon, South Korea","School of Electrical Engineering, Korea Advanced Institute of Science and Technology, Daejeon, South Korea#TAB#"],"affiliations":[{"raw_affiliation_string":"School of Electrical Engineering, Korea Advanced Institute of Science and Technology, Daejeon, South Korea","institution_ids":["https://openalex.org/I157485424"]},{"raw_affiliation_string":"School of Electrical Engineering, Korea Advanced Institute of Science and Technology, Daejeon, South Korea#TAB#","institution_ids":["https://openalex.org/I157485424"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5064276223"],"corresponding_institution_ids":["https://openalex.org/I157485424"],"apc_list":null,"apc_paid":null,"fwci":0.2089,"has_fulltext":false,"cited_by_count":5,"citation_normalized_percentile":{"value":0.52456442,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":96},"biblio":{"volume":"29","issue":"3","first_page":"698","last_page":"713"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10531","display_name":"Advanced Vision and Imaging","score":0.9991999864578247,"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"}},"topics":[{"id":"https://openalex.org/T10531","display_name":"Advanced Vision and Imaging","score":0.9991999864578247,"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/T10331","display_name":"Video Surveillance and Tracking Methods","score":0.9986000061035156,"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/T10812","display_name":"Human Pose and Action Recognition","score":0.9983000159263611,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.7682905197143555},{"id":"https://openalex.org/keywords/epipolar-geometry","display_name":"Epipolar geometry","score":0.7570652961730957},{"id":"https://openalex.org/keywords/segmentation","display_name":"Segmentation","score":0.6811615824699402},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.637662947177887},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5834061503410339},{"id":"https://openalex.org/keywords/image-segmentation","display_name":"Image segmentation","score":0.5394812822341919},{"id":"https://openalex.org/keywords/scale-space-segmentation","display_name":"Scale-space segmentation","score":0.5065604448318481},{"id":"https://openalex.org/keywords/structure-from-motion","display_name":"Structure from motion","score":0.4921075701713562},{"id":"https://openalex.org/keywords/motion","display_name":"Motion (physics)","score":0.4760998487472534},{"id":"https://openalex.org/keywords/motion-estimation","display_name":"Motion estimation","score":0.4726404547691345},{"id":"https://openalex.org/keywords/motion-analysis","display_name":"Motion analysis","score":0.44425490498542786},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.3575062155723572},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.1669919490814209}],"concepts":[{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7682905197143555},{"id":"https://openalex.org/C23379248","wikidata":"https://www.wikidata.org/wiki/Q200904","display_name":"Epipolar geometry","level":3,"score":0.7570652961730957},{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.6811615824699402},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.637662947177887},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5834061503410339},{"id":"https://openalex.org/C124504099","wikidata":"https://www.wikidata.org/wiki/Q56933","display_name":"Image segmentation","level":3,"score":0.5394812822341919},{"id":"https://openalex.org/C65885262","wikidata":"https://www.wikidata.org/wiki/Q7429708","display_name":"Scale-space segmentation","level":4,"score":0.5065604448318481},{"id":"https://openalex.org/C146159030","wikidata":"https://www.wikidata.org/wiki/Q7625099","display_name":"Structure from motion","level":3,"score":0.4921075701713562},{"id":"https://openalex.org/C104114177","wikidata":"https://www.wikidata.org/wiki/Q79782","display_name":"Motion (physics)","level":2,"score":0.4760998487472534},{"id":"https://openalex.org/C10161872","wikidata":"https://www.wikidata.org/wiki/Q557891","display_name":"Motion estimation","level":2,"score":0.4726404547691345},{"id":"https://openalex.org/C2777036941","wikidata":"https://www.wikidata.org/wiki/Q6917771","display_name":"Motion analysis","level":2,"score":0.44425490498542786},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3575062155723572},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.1669919490814209}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/tcsvt.2018.2805838","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tcsvt.2018.2805838","pdf_url":null,"source":{"id":"https://openalex.org/S115173108","display_name":"IEEE Transactions on Circuits and Systems for Video Technology","issn_l":"1051-8215","issn":["1051-8215","1558-2205"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Circuits and Systems for Video Technology","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/16","score":0.6800000071525574,"display_name":"Peace, Justice and strong institutions"}],"awards":[{"id":"https://openalex.org/G6846301782","display_name":null,"funder_award_id":"NRF-2017R1A2A2A05001400","funder_id":"https://openalex.org/F4320322120","funder_display_name":"National Research Foundation of Korea"}],"funders":[{"id":"https://openalex.org/F4320322120","display_name":"National Research Foundation of Korea","ror":"https://ror.org/013aysd81"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":82,"referenced_works":["https://openalex.org/W75575891","https://openalex.org/W79405465","https://openalex.org/W142362871","https://openalex.org/W152560764","https://openalex.org/W1493249851","https://openalex.org/W1496571393","https://openalex.org/W1527474722","https://openalex.org/W1529019671","https://openalex.org/W1908089688","https://openalex.org/W1912618168","https://openalex.org/W1931947167","https://openalex.org/W1984066295","https://openalex.org/W1993962865","https://openalex.org/W1996134027","https://openalex.org/W1997201895","https://openalex.org/W1999925655","https://openalex.org/W2000103047","https://openalex.org/W2002875082","https://openalex.org/W2003217181","https://openalex.org/W2009630067","https://openalex.org/W2019075198","https://openalex.org/W2033819227","https://openalex.org/W2040329636","https://openalex.org/W2052311585","https://openalex.org/W2068994826","https://openalex.org/W2076756823","https://openalex.org/W2080425500","https://openalex.org/W2082712442","https://openalex.org/W2095843685","https://openalex.org/W2097021504","https://openalex.org/W2108780778","https://openalex.org/W2114129181","https://openalex.org/W2114554887","https://openalex.org/W2116324873","https://openalex.org/W2118154608","https://openalex.org/W2126457283","https://openalex.org/W2126546788","https://openalex.org/W2142782401","https://openalex.org/W2143920871","https://openalex.org/W2145152441","https://openalex.org/W2150414161","https://openalex.org/W2150903798","https://openalex.org/W2157684069","https://openalex.org/W2157956755","https://openalex.org/W2160616617","https://openalex.org/W2164444636","https://openalex.org/W2165874743","https://openalex.org/W2165926549","https://openalex.org/W2166732304","https://openalex.org/W2169040509","https://openalex.org/W2177347332","https://openalex.org/W2197046994","https://openalex.org/W2199534117","https://openalex.org/W2247110837","https://openalex.org/W2271263562","https://openalex.org/W2325880033","https://openalex.org/W2344260814","https://openalex.org/W2465717959","https://openalex.org/W2499976956","https://openalex.org/W2528729631","https://openalex.org/W2528957674","https://openalex.org/W2532206188","https://openalex.org/W2546325542","https://openalex.org/W2592516688","https://openalex.org/W2612455917","https://openalex.org/W2952220801","https://openalex.org/W2964169360","https://openalex.org/W3021282624","https://openalex.org/W3101736969","https://openalex.org/W4295499333","https://openalex.org/W6603064834","https://openalex.org/W6603183647","https://openalex.org/W6606198736","https://openalex.org/W6629607343","https://openalex.org/W6631621146","https://openalex.org/W6640419445","https://openalex.org/W6670952435","https://openalex.org/W6678550223","https://openalex.org/W6683992157","https://openalex.org/W6684578312","https://openalex.org/W6734648889","https://openalex.org/W6790601924"],"related_works":["https://openalex.org/W1590450566","https://openalex.org/W1985830928","https://openalex.org/W1839025738","https://openalex.org/W1503005791","https://openalex.org/W2166189609","https://openalex.org/W1971333746","https://openalex.org/W2532401163","https://openalex.org/W1501297619","https://openalex.org/W2026674073","https://openalex.org/W2053820737"],"abstract_inverted_index":{"In":[0],"this":[1],"paper,":[2],"we":[3,74,129],"propose":[4],"a":[5,76],"novel":[6],"rigid-body":[7],"motion":[8,65,98,111,133],"segmentation":[9,112,134],"algorithm":[10,31,106,135],"that":[11],"uses":[12],"randomized":[13],"voting":[14],"to":[15,19,26,124],"assign":[16],"high":[17],"scores":[18,25,45,59],"correctly":[20],"estimated":[21,28],"models":[22],"and":[23,43,53,62,86,139],"low":[24],"wrongly":[27],"models.":[29],"This":[30],"is":[32],"based":[33],"on":[34],"an":[35],"epipolar":[36,56],"geometrical":[37],"representation":[38],"of":[39,71,78,118],"the":[40,47,50,54,69,81,87,108,116,125],"camera":[41],"motion,":[42],"computes":[44],"using":[46,80,137],"distance":[48],"between":[49],"feature":[51],"point":[52],"corresponding":[55],"line.":[57],"These":[58],"are":[60,92],"accumulated":[61],"utilized":[63],"for":[64,96],"segmentation.":[66,99],"To":[67],"evaluate":[68],"efficacy":[70],"our":[72,105,132],"algorithm,":[73],"conduct":[75],"series":[77],"experiments":[79],"Hopkins":[82],"155":[83],"data":[84,89,103],"set":[85],"UdG":[88],"set,":[90],"which":[91],"representative":[93],"test":[94],"sets":[95],"rigid":[97],"Among":[100],"several":[101],"state-of-the-art":[102],"sets,":[104],"achieves":[107,121],"most":[109],"accurate":[110],"results":[113,123],"and,":[114],"in":[115],"presence":[117],"measurement":[119],"noise,":[120],"comparable":[122],"other":[126],"algorithms.":[127],"Finally,":[128],"analyze":[130],"why":[131],"works":[136],"probabilistic":[138],"theoretical":[140],"analysis.":[141]},"counts_by_year":[{"year":2023,"cited_by_count":2},{"year":2022,"cited_by_count":1},{"year":2021,"cited_by_count":1},{"year":2019,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}