{"id":"https://openalex.org/W2167990459","doi":"https://doi.org/10.1109/icip.2007.4379587","title":"Epipolar Curve Tracking in 3-D","display_name":"Epipolar Curve Tracking in 3-D","publication_year":2007,"publication_date":"2007-01-01","ids":{"openalex":"https://openalex.org/W2167990459","doi":"https://doi.org/10.1109/icip.2007.4379587","mag":"2167990459"},"language":"en","primary_location":{"id":"doi:10.1109/icip.2007.4379587","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icip.2007.4379587","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2007 IEEE International Conference on Image Processing","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/A5105530327","display_name":"Matthew J. Leotta","orcid":null},"institutions":[{"id":"https://openalex.org/I27804330","display_name":"Brown University","ror":"https://ror.org/05gq02987","country_code":"US","type":"education","lineage":["https://openalex.org/I27804330"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Matthew J. Leotta","raw_affiliation_strings":["Brown University, RI, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Brown University, RI, USA","institution_ids":["https://openalex.org/I27804330"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5005220729","display_name":"Joseph L. Mundy","orcid":"https://orcid.org/0000-0002-6534-2736"},"institutions":[{"id":"https://openalex.org/I27804330","display_name":"Brown University","ror":"https://ror.org/05gq02987","country_code":"US","type":"education","lineage":["https://openalex.org/I27804330"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Joseph L. Mundy","raw_affiliation_strings":["Brown University, RI, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Brown University, RI, USA","institution_ids":["https://openalex.org/I27804330"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.329,"has_fulltext":false,"cited_by_count":4,"citation_normalized_percentile":{"value":0.66089537,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":96},"biblio":{"volume":"3","issue":null,"first_page":"VI ","last_page":" 325"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10331","display_name":"Video Surveillance and Tracking Methods","score":1.0,"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/T10331","display_name":"Video Surveillance and Tracking Methods","score":1.0,"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/T10531","display_name":"Advanced Vision and Imaging","score":0.9998000264167786,"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":0.9955000281333923,"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/computer-vision","display_name":"Computer vision","score":0.8470209836959839},{"id":"https://openalex.org/keywords/epipolar-geometry","display_name":"Epipolar geometry","score":0.8092789053916931},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.804118275642395},{"id":"https://openalex.org/keywords/perspective","display_name":"Perspective (graphical)","score":0.7156425714492798},{"id":"https://openalex.org/keywords/tracking","display_name":"Tracking (education)","score":0.7031463384628296},{"id":"https://openalex.org/keywords/vehicle-tracking-system","display_name":"Vehicle tracking system","score":0.6129526495933533},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5749542117118835},{"id":"https://openalex.org/keywords/distortion","display_name":"Distortion (music)","score":0.5401211977005005},{"id":"https://openalex.org/keywords/perspective-distortion","display_name":"Perspective distortion","score":0.4880320131778717},{"id":"https://openalex.org/keywords/segmentation","display_name":"Segmentation","score":0.4830484986305237},{"id":"https://openalex.org/keywords/frame","display_name":"Frame (networking)","score":0.4603751301765442},{"id":"https://openalex.org/keywords/projection","display_name":"Projection (relational algebra)","score":0.4430120587348938},{"id":"https://openalex.org/keywords/orientation","display_name":"Orientation (vector space)","score":0.4256194531917572},{"id":"https://openalex.org/keywords/matching","display_name":"Matching (statistics)","score":0.41898244619369507},{"id":"https://openalex.org/keywords/video-tracking","display_name":"Video tracking","score":0.41432714462280273},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.31100186705589294},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.24775472283363342},{"id":"https://openalex.org/keywords/geometry","display_name":"Geometry","score":0.14778634905815125},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.12483939528465271},{"id":"https://openalex.org/keywords/video-processing","display_name":"Video processing","score":0.1219148337841034}],"concepts":[{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.8470209836959839},{"id":"https://openalex.org/C23379248","wikidata":"https://www.wikidata.org/wiki/Q200904","display_name":"Epipolar geometry","level":3,"score":0.8092789053916931},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.804118275642395},{"id":"https://openalex.org/C12713177","wikidata":"https://www.wikidata.org/wiki/Q1900281","display_name":"Perspective (graphical)","level":2,"score":0.7156425714492798},{"id":"https://openalex.org/C2775936607","wikidata":"https://www.wikidata.org/wiki/Q466845","display_name":"Tracking (education)","level":2,"score":0.7031463384628296},{"id":"https://openalex.org/C84119951","wikidata":"https://www.wikidata.org/wiki/Q3498530","display_name":"Vehicle tracking system","level":3,"score":0.6129526495933533},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5749542117118835},{"id":"https://openalex.org/C126780896","wikidata":"https://www.wikidata.org/wiki/Q899871","display_name":"Distortion (music)","level":4,"score":0.5401211977005005},{"id":"https://openalex.org/C2779989122","wikidata":"https://www.wikidata.org/wiki/Q15889487","display_name":"Perspective distortion","level":3,"score":0.4880320131778717},{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.4830484986305237},{"id":"https://openalex.org/C126042441","wikidata":"https://www.wikidata.org/wiki/Q1324888","display_name":"Frame (networking)","level":2,"score":0.4603751301765442},{"id":"https://openalex.org/C57493831","wikidata":"https://www.wikidata.org/wiki/Q3134666","display_name":"Projection (relational algebra)","level":2,"score":0.4430120587348938},{"id":"https://openalex.org/C16345878","wikidata":"https://www.wikidata.org/wiki/Q107472979","display_name":"Orientation (vector space)","level":2,"score":0.4256194531917572},{"id":"https://openalex.org/C165064840","wikidata":"https://www.wikidata.org/wiki/Q1321061","display_name":"Matching (statistics)","level":2,"score":0.41898244619369507},{"id":"https://openalex.org/C202474056","wikidata":"https://www.wikidata.org/wiki/Q1931635","display_name":"Video tracking","level":3,"score":0.41432714462280273},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.31100186705589294},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.24775472283363342},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.14778634905815125},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.12483939528465271},{"id":"https://openalex.org/C65483669","wikidata":"https://www.wikidata.org/wiki/Q3536669","display_name":"Video processing","level":2,"score":0.1219148337841034},{"id":"https://openalex.org/C19417346","wikidata":"https://www.wikidata.org/wiki/Q7922","display_name":"Pedagogy","level":1,"score":0.0},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.0},{"id":"https://openalex.org/C2776257435","wikidata":"https://www.wikidata.org/wiki/Q1576430","display_name":"Bandwidth (computing)","level":2,"score":0.0},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.0},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.0},{"id":"https://openalex.org/C31258907","wikidata":"https://www.wikidata.org/wiki/Q1301371","display_name":"Computer network","level":1,"score":0.0},{"id":"https://openalex.org/C194257627","wikidata":"https://www.wikidata.org/wiki/Q211554","display_name":"Amplifier","level":3,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/icip.2007.4379587","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icip.2007.4379587","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2007 IEEE International Conference on Image Processing","raw_type":"proceedings-article"},{"id":"pmh:oai:CiteSeerX.psu:10.1.1.569.5474","is_oa":false,"landing_page_url":"http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.569.5474","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"http://www.lems.brown.edu/~mleotta/download/paper/leotta_icip2007.pdf","raw_type":"text"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Sustainable cities and communities","score":0.47999998927116394,"id":"https://metadata.un.org/sdg/11"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":10,"referenced_works":["https://openalex.org/W1549752654","https://openalex.org/W1956660673","https://openalex.org/W2102625004","https://openalex.org/W2105072112","https://openalex.org/W2138922551","https://openalex.org/W2141473805","https://openalex.org/W2157203103","https://openalex.org/W2543544217","https://openalex.org/W6632864041","https://openalex.org/W6683171523"],"related_works":["https://openalex.org/W2786887078","https://openalex.org/W3115594293","https://openalex.org/W2800536624","https://openalex.org/W3128004133","https://openalex.org/W2620715523","https://openalex.org/W2564409918","https://openalex.org/W2999630082","https://openalex.org/W343952165","https://openalex.org/W3134312732","https://openalex.org/W2046740589"],"abstract_inverted_index":{"Vehicle":[0],"tracking":[1,68,102],"in":[2,32,111,137],"video":[3],"sequences":[4,44,84],"is":[5,49,69,78,122],"typically":[6],"carried":[7,79],"out":[8,80],"by":[9,29,101],"matching":[10],"2-d":[11,33],"views":[12,26],"(images":[13],"or":[14],"features)":[15],"of":[16,85,124,132],"the":[17,23,46,60,90,106,125,128],"vehicle":[18,47,55,67,107,126],"from":[19,115,127],"one":[20],"frame":[21],"to":[22,59],"next.":[24],"These":[25],"are":[27,98],"adapted":[28],"gradual":[30],"changes":[31],"image":[34],"transforms":[35],"between":[36],"frames.":[37,119],"This":[38],"approach":[39],"can":[40],"work":[41],"well":[42],"for":[43,100],"where":[45],"projection":[48],"not":[50],"highly":[51],"perspective":[52,94],"and":[53,108,130,135],"3-d":[54],"orientation":[56],"with":[57],"respect":[58],"camera":[61],"varies":[62],"slowly.":[63],"In":[64],"this":[65],"paper,":[66],"studied":[70],"under":[71],"conditions":[72],"that":[73,87],"violate":[74],"these":[75],"assumptions.":[76],"Tracking":[77],"on":[81,105,117],"high-definition":[82],"videos":[83],"vehicles":[86],"pass":[88],"near":[89],"camera,":[91],"causing":[92],"severe":[93],"distortion.":[95],"Perspective":[96],"effects":[97],"accounted":[99],"edge":[103],"curves":[104],"reconstructing":[109],"them":[110],"3-d,":[112],"using":[113],"structure":[114],"motion":[116,136],"adjacent":[118],"The":[120],"result":[121],"segmentation":[123],"background":[129],"recovery":[131],"its":[133],"geometry":[134],"3-d.":[138]},"counts_by_year":[{"year":2013,"cited_by_count":2},{"year":2012,"cited_by_count":1}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}