{"id":"https://openalex.org/W2139649290","doi":"https://doi.org/10.1109/ssiai.2012.6202478","title":"Curvature oriented clustering of sparse motion vector fields","display_name":"Curvature oriented clustering of sparse motion vector fields","publication_year":2012,"publication_date":"2012-04-01","ids":{"openalex":"https://openalex.org/W2139649290","doi":"https://doi.org/10.1109/ssiai.2012.6202478","mag":"2139649290"},"language":"en","primary_location":{"id":"doi:10.1109/ssiai.2012.6202478","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ssiai.2012.6202478","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2012 IEEE Southwest Symposium on Image Analysis and Interpretation","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/A5007989963","display_name":"Alvaro Guevara","orcid":"https://orcid.org/0009-0005-4449-3809"},"institutions":[{"id":"https://openalex.org/I78650965","display_name":"Technische Universit\u00e4t Dresden","ror":"https://ror.org/042aqky30","country_code":"DE","type":"education","lineage":["https://openalex.org/I78650965"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Alvaro Guevara","raw_affiliation_strings":["Section of Systems Neuroscience, Technische Universit\u00e4t Dresden, Germany"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Section of Systems Neuroscience, Technische Universit\u00e4t Dresden, Germany","institution_ids":["https://openalex.org/I78650965"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5072661843","display_name":"Christian Conrad","orcid":"https://orcid.org/0000-0001-7036-342X"},"institutions":[{"id":"https://openalex.org/I114090438","display_name":"Goethe University Frankfurt","ror":"https://ror.org/04cvxnb49","country_code":"DE","type":"education","lineage":["https://openalex.org/I114090438"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Christian Conrad","raw_affiliation_strings":["Visual Sensorics and Information Processing (VSI) Laboratory, J. W. Goethe Universit\u00e4t Frankfurt, Germany"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Visual Sensorics and Information Processing (VSI) Laboratory, J. W. Goethe Universit\u00e4t Frankfurt, Germany","institution_ids":["https://openalex.org/I114090438"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5048393027","display_name":"Rudolf Mester","orcid":"https://orcid.org/0000-0002-6932-0606"},"institutions":[{"id":"https://openalex.org/I102134673","display_name":"Link\u00f6ping University","ror":"https://ror.org/05ynxx418","country_code":"SE","type":"education","lineage":["https://openalex.org/I102134673"]},{"id":"https://openalex.org/I114090438","display_name":"Goethe University Frankfurt","ror":"https://ror.org/04cvxnb49","country_code":"DE","type":"education","lineage":["https://openalex.org/I114090438"]}],"countries":["DE","SE"],"is_corresponding":false,"raw_author_name":"Rudolf Mester","raw_affiliation_strings":["Computer Vision Laboratory, EE Department, Link\u00f6ping University, Sweden","Visual Sensorics and Information Processing (VSI) Laboratory, J. W. Goethe Universit\u00e4t Frankfurt, Germany"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Computer Vision Laboratory, EE Department, Link\u00f6ping University, Sweden","institution_ids":["https://openalex.org/I102134673"]},{"raw_affiliation_string":"Visual Sensorics and Information Processing (VSI) Laboratory, J. W. Goethe Universit\u00e4t Frankfurt, Germany","institution_ids":["https://openalex.org/I114090438"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.17413123,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"161","last_page":"164"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10531","display_name":"Advanced Vision and Imaging","score":0.9997000098228455,"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":0.9997000098228455,"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/T10481","display_name":"Computer Graphics and Visualization Techniques","score":0.9819999933242798,"subfield":{"id":"https://openalex.org/subfields/1704","display_name":"Computer Graphics and Computer-Aided Design"},"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":0.9815999865531921,"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/cluster-analysis","display_name":"Cluster analysis","score":0.6690341830253601},{"id":"https://openalex.org/keywords/flow","display_name":"Flow (mathematics)","score":0.5758971571922302},{"id":"https://openalex.org/keywords/curvature","display_name":"Curvature","score":0.5735918283462524},{"id":"https://openalex.org/keywords/vector-field","display_name":"Vector field","score":0.5528914928436279},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5306063294410706},{"id":"https://openalex.org/keywords/covariance","display_name":"Covariance","score":0.4801004230976105},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.4791371524333954},{"id":"https://openalex.org/keywords/parametric-statistics","display_name":"Parametric statistics","score":0.4714202284812927},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.46297687292099},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.43282997608184814},{"id":"https://openalex.org/keywords/cluster","display_name":"Cluster (spacecraft)","score":0.41539645195007324},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.4086938500404358},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.3746899366378784},{"id":"https://openalex.org/keywords/geometry","display_name":"Geometry","score":0.11188685894012451}],"concepts":[{"id":"https://openalex.org/C73555534","wikidata":"https://www.wikidata.org/wiki/Q622825","display_name":"Cluster analysis","level":2,"score":0.6690341830253601},{"id":"https://openalex.org/C38349280","wikidata":"https://www.wikidata.org/wiki/Q1434290","display_name":"Flow (mathematics)","level":2,"score":0.5758971571922302},{"id":"https://openalex.org/C195065555","wikidata":"https://www.wikidata.org/wiki/Q214881","display_name":"Curvature","level":2,"score":0.5735918283462524},{"id":"https://openalex.org/C91188154","wikidata":"https://www.wikidata.org/wiki/Q186247","display_name":"Vector field","level":2,"score":0.5528914928436279},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5306063294410706},{"id":"https://openalex.org/C178650346","wikidata":"https://www.wikidata.org/wiki/Q201984","display_name":"Covariance","level":2,"score":0.4801004230976105},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.4791371524333954},{"id":"https://openalex.org/C117251300","wikidata":"https://www.wikidata.org/wiki/Q1849855","display_name":"Parametric statistics","level":2,"score":0.4714202284812927},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.46297687292099},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.43282997608184814},{"id":"https://openalex.org/C164866538","wikidata":"https://www.wikidata.org/wiki/Q367351","display_name":"Cluster (spacecraft)","level":2,"score":0.41539645195007324},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.4086938500404358},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.3746899366378784},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.11188685894012451},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.0},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/ssiai.2012.6202478","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ssiai.2012.6202478","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2012 IEEE Southwest Symposium on Image Analysis and Interpretation","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/11","display_name":"Sustainable cities and communities","score":0.41999998688697815}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":9,"referenced_works":["https://openalex.org/W1500174731","https://openalex.org/W1883695444","https://openalex.org/W2014345353","https://openalex.org/W2106813532","https://openalex.org/W2130706954","https://openalex.org/W2155605230","https://openalex.org/W2163300150","https://openalex.org/W6639341072","https://openalex.org/W6682803058"],"related_works":["https://openalex.org/W55883722","https://openalex.org/W2394379345","https://openalex.org/W2079726820","https://openalex.org/W3215763795","https://openalex.org/W4288816678","https://openalex.org/W1988570269","https://openalex.org/W2002924703","https://openalex.org/W2946668990","https://openalex.org/W2380616566","https://openalex.org/W2118352149"],"abstract_inverted_index":{"We":[0,20],"present":[1],"an":[2,62],"approach":[3],"to":[4],"unveil":[5],"the":[6,53,67,91,96,121],"underlying":[7],"structure":[8],"of":[9,16,37,55,95],"dynamic":[10],"scenes":[11],"from":[12,120],"a":[13,34,71,104],"sparse":[14,97],"set":[15,36],"local":[17,98],"flow":[18,40,44,56,84,99],"measurements.":[19],"first":[21],"estimate":[22],"those":[23],"measurements":[24,100],"at":[25],"carefully":[26],"selected":[27],"locations,":[28],"and":[29,52,90,116],"subsequently":[30],"group":[31],"them":[32],"into":[33],"finite":[35],"different":[38],"dense":[39],"field":[41],"hypotheses.":[42],"These":[43],"fields":[45,85],"are":[46,101],"represented":[47],"as":[48],"parametric":[49],"functional":[50],"models,":[51],"number":[54],"models":[57],"(=clusters)":[58],"is":[59,70],"determined":[60],"by":[61,86],"information-theory":[63],"based":[64],"approach.":[65],"Methodically,":[66],"grouping":[68],"task":[69],"two-step":[72],"clustering":[73],"scheme,":[74],"whose":[75],"intra-cluster":[76],"modeling":[77],"step":[78],"exploits":[79],"prior":[80],"knowledge":[81],"on":[82,113],"real":[83],"enforcing":[87],"low":[88],"curvature,":[89],"individual":[92],"covariance":[93],"matrices":[94],"introduced":[102],"in":[103],"principled":[105],"way.":[106],"The":[107],"method":[108],"has":[109],"been":[110],"tested":[111],"successfully":[112],"both":[114],"stereo":[115],"general":[117],"motion":[118],"sequences":[119],"standard":[122],"Middlebury":[123],"database.":[124]},"counts_by_year":[],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}
