{"id":"https://openalex.org/W2145077600","doi":"https://doi.org/10.1109/itsc.2006.1707443","title":"Vehicle segmentation by edge classification method and the S-T MRF model","display_name":"Vehicle segmentation by edge classification method and the S-T MRF model","publication_year":2006,"publication_date":"2006-01-01","ids":{"openalex":"https://openalex.org/W2145077600","doi":"https://doi.org/10.1109/itsc.2006.1707443","mag":"2145077600"},"language":"en","primary_location":{"id":"doi:10.1109/itsc.2006.1707443","is_oa":false,"landing_page_url":"https://doi.org/10.1109/itsc.2006.1707443","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2006 IEEE Intelligent Transportation Systems Conference","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/A5024530310","display_name":"Hiroaki Inoue","orcid":"https://orcid.org/0000-0003-0043-942X"},"institutions":[{"id":"https://openalex.org/I74801974","display_name":"The University of Tokyo","ror":"https://ror.org/057zh3y96","country_code":"JP","type":"education","lineage":["https://openalex.org/I74801974"]}],"countries":["JP"],"is_corresponding":true,"raw_author_name":"H. Inoue","raw_affiliation_strings":["University of Tokyo, Japan","Tokyo University"],"affiliations":[{"raw_affiliation_string":"University of Tokyo, Japan","institution_ids":["https://openalex.org/I74801974"]},{"raw_affiliation_string":"Tokyo University","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100674094","display_name":"Mingzhe Liu","orcid":"https://orcid.org/0000-0001-7054-997X"},"institutions":[{"id":"https://openalex.org/I74801974","display_name":"The University of Tokyo","ror":"https://ror.org/057zh3y96","country_code":"JP","type":"education","lineage":["https://openalex.org/I74801974"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Mingzhe Liu","raw_affiliation_strings":["University of Tokyo, Japan","Tokyo University"],"affiliations":[{"raw_affiliation_string":"University of Tokyo, Japan","institution_ids":["https://openalex.org/I74801974"]},{"raw_affiliation_string":"Tokyo University","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5109244048","display_name":"Shunsuke Kamijo","orcid":null},"institutions":[{"id":"https://openalex.org/I74801974","display_name":"The University of Tokyo","ror":"https://ror.org/057zh3y96","country_code":"JP","type":"education","lineage":["https://openalex.org/I74801974"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"S. Kamijo","raw_affiliation_strings":["University of Tokyo, Japan","Tokyo University"],"affiliations":[{"raw_affiliation_string":"University of Tokyo, Japan","institution_ids":["https://openalex.org/I74801974"]},{"raw_affiliation_string":"Tokyo University","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5024530310"],"corresponding_institution_ids":["https://openalex.org/I74801974"],"apc_list":null,"apc_paid":null,"fwci":0.6229,"has_fulltext":false,"cited_by_count":4,"citation_normalized_percentile":{"value":0.71610823,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":94},"biblio":{"volume":"e85 d","issue":null,"first_page":"1543","last_page":"1549"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10331","display_name":"Video Surveillance and Tracking Methods","score":0.9990000128746033,"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":0.9990000128746033,"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/T11099","display_name":"Autonomous Vehicle Technology and Safety","score":0.9955000281333923,"subfield":{"id":"https://openalex.org/subfields/2203","display_name":"Automotive 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/T10052","display_name":"Medical Image Segmentation Techniques","score":0.9883999824523926,"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/segmentation","display_name":"Segmentation","score":0.7386189699172974},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.7372497916221619},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7301666140556335},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.6608902215957642},{"id":"https://openalex.org/keywords/enhanced-data-rates-for-gsm-evolution","display_name":"Enhanced Data Rates for GSM Evolution","score":0.6490989327430725},{"id":"https://openalex.org/keywords/image-segmentation","display_name":"Image segmentation","score":0.6165447235107422},{"id":"https://openalex.org/keywords/tracking","display_name":"Tracking (education)","score":0.46492886543273926},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.38751691579818726}],"concepts":[{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.7386189699172974},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7372497916221619},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7301666140556335},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.6608902215957642},{"id":"https://openalex.org/C162307627","wikidata":"https://www.wikidata.org/wiki/Q204833","display_name":"Enhanced Data Rates for GSM Evolution","level":2,"score":0.6490989327430725},{"id":"https://openalex.org/C124504099","wikidata":"https://www.wikidata.org/wiki/Q56933","display_name":"Image segmentation","level":3,"score":0.6165447235107422},{"id":"https://openalex.org/C2775936607","wikidata":"https://www.wikidata.org/wiki/Q466845","display_name":"Tracking (education)","level":2,"score":0.46492886543273926},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.38751691579818726},{"id":"https://openalex.org/C19417346","wikidata":"https://www.wikidata.org/wiki/Q7922","display_name":"Pedagogy","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}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/itsc.2006.1707443","is_oa":false,"landing_page_url":"https://doi.org/10.1109/itsc.2006.1707443","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2006 IEEE Intelligent Transportation Systems Conference","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Sustainable cities and communities","id":"https://metadata.un.org/sdg/11","score":0.4099999964237213}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":10,"referenced_works":["https://openalex.org/W1538736451","https://openalex.org/W1597778658","https://openalex.org/W2008567526","https://openalex.org/W2020999234","https://openalex.org/W2122868496","https://openalex.org/W2123650791","https://openalex.org/W2507974629","https://openalex.org/W6635832939","https://openalex.org/W6678725390","https://openalex.org/W6724613060"],"related_works":["https://openalex.org/W2084086966","https://openalex.org/W2023861399","https://openalex.org/W2730915376","https://openalex.org/W4379231730","https://openalex.org/W2626306547","https://openalex.org/W4389858081","https://openalex.org/W2021396365","https://openalex.org/W2394134009","https://openalex.org/W2119515433","https://openalex.org/W1522196789"],"abstract_inverted_index":{"In":[0,60],"this":[1],"paper,":[2],"we":[3,70],"propose":[4],"a":[5,20,57,65,73,85],"tracking":[6],"algorithm,":[7],"which":[8,77],"is":[9],"based":[10],"on":[11],"the":[12,15,25,47,50,53,91,97,100],"collaboration":[13],"of":[14,52,67,80,93],"S-T":[16,26,68],"MRF":[17,27],"model":[18,28],"and":[19],"dedicated":[21,74],"segmentation":[22,75],"algorithm.":[23],"Although":[24],"was":[29,114],"designed":[30],"to":[31,49,62,90,116],"be":[32,117],"robust":[33],"against":[34],"occlusion,":[35],"it":[36],"regards":[37],"vehicles":[38,81],"that":[39],"move":[40],"in":[41,83],"parallel":[42],"occluding":[43],"each":[44],"other":[45],"from":[46,105],"beginning":[48],"end":[51],"traffic":[54,103],"images":[55],"as":[56],"single":[58,86],"region.":[59],"order":[61],"compensate":[63],"such":[64,84],"defect":[66],"MRF,":[69],"have":[71],"developed":[72],"algorithm":[76],"decides":[78],"boundaries":[79],"contained":[82],"region":[87],"by":[88],"referring":[89],"difference":[92],"edge":[94],"patterns":[95],"among":[96],"vehicles.":[98],"By":[99],"experiments":[101],"using":[102],"video":[104],"three":[106],"different":[107,110],"angles":[108],"at":[109],"locations,":[111],"our":[112],"method":[113],"proved":[115],"very":[118],"successful":[119]},"counts_by_year":[{"year":2022,"cited_by_count":1},{"year":2013,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
