{"id":"https://openalex.org/W4220789584","doi":"https://doi.org/10.1109/sii52469.2022.9708735","title":"High-speed tracking for overlapped vehicles using Instance Segmentation and contour deformation","display_name":"High-speed tracking for overlapped vehicles using Instance Segmentation and contour deformation","publication_year":2022,"publication_date":"2022-01-09","ids":{"openalex":"https://openalex.org/W4220789584","doi":"https://doi.org/10.1109/sii52469.2022.9708735"},"language":"en","primary_location":{"id":"doi:10.1109/sii52469.2022.9708735","is_oa":false,"landing_page_url":"https://doi.org/10.1109/sii52469.2022.9708735","pdf_url":null,"source":{"id":"https://openalex.org/S4363605592","display_name":"2022 IEEE/SICE International Symposium on System Integration (SII)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2022 IEEE/SICE International Symposium on System Integration (SII)","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/A5061863258","display_name":"Hiromichi Kawahara","orcid":null},"institutions":[{"id":"https://openalex.org/I113306721","display_name":"Hiroshima University","ror":"https://ror.org/03t78wx29","country_code":"JP","type":"education","lineage":["https://openalex.org/I113306721"]},{"id":"https://openalex.org/I57930482","display_name":"Hiroshima City University","ror":"https://ror.org/001et4e78","country_code":"JP","type":"education","lineage":["https://openalex.org/I57930482"]}],"countries":["JP"],"is_corresponding":true,"raw_author_name":"Hiromichi Kawahara","raw_affiliation_strings":["Hiroshima University Graduate School, Higashi-Hiroshima City, Hiroshima, Japan"],"affiliations":[{"raw_affiliation_string":"Hiroshima University Graduate School, Higashi-Hiroshima City, Hiroshima, Japan","institution_ids":["https://openalex.org/I57930482","https://openalex.org/I113306721"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5020949070","display_name":"Taku Senoo","orcid":"https://orcid.org/0000-0002-8531-1590"},"institutions":[{"id":"https://openalex.org/I57930482","display_name":"Hiroshima City University","ror":"https://ror.org/001et4e78","country_code":"JP","type":"education","lineage":["https://openalex.org/I57930482"]},{"id":"https://openalex.org/I113306721","display_name":"Hiroshima University","ror":"https://ror.org/03t78wx29","country_code":"JP","type":"education","lineage":["https://openalex.org/I113306721"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Taku Senoo","raw_affiliation_strings":["Hiroshima University Graduate School, Higashi-Hiroshima City, Hiroshima, Japan"],"affiliations":[{"raw_affiliation_string":"Hiroshima University Graduate School, Higashi-Hiroshima City, Hiroshima, Japan","institution_ids":["https://openalex.org/I57930482","https://openalex.org/I113306721"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5060719224","display_name":"Idaku Ishii","orcid":"https://orcid.org/0000-0002-7728-2363"},"institutions":[{"id":"https://openalex.org/I113306721","display_name":"Hiroshima University","ror":"https://ror.org/03t78wx29","country_code":"JP","type":"education","lineage":["https://openalex.org/I113306721"]},{"id":"https://openalex.org/I57930482","display_name":"Hiroshima City University","ror":"https://ror.org/001et4e78","country_code":"JP","type":"education","lineage":["https://openalex.org/I57930482"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Idaku Ishii","raw_affiliation_strings":["Hiroshima University Graduate School, Higashi-Hiroshima City, Hiroshima, Japan"],"affiliations":[{"raw_affiliation_string":"Hiroshima University Graduate School, Higashi-Hiroshima City, Hiroshima, Japan","institution_ids":["https://openalex.org/I57930482","https://openalex.org/I113306721"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101412704","display_name":"Masahiro Hirano","orcid":"https://orcid.org/0009-0005-4544-1955"},"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":"Masahiro Hirano","raw_affiliation_strings":["University of Tokyo, Tokyo, Japan"],"affiliations":[{"raw_affiliation_string":"University of Tokyo, Tokyo, Japan","institution_ids":["https://openalex.org/I74801974"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5113946147","display_name":"Norimasa Kishi","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":"Norimasa Kishi","raw_affiliation_strings":["University of Tokyo, Tokyo, Japan"],"affiliations":[{"raw_affiliation_string":"University of Tokyo, Tokyo, Japan","institution_ids":["https://openalex.org/I74801974"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5010897098","display_name":"Masatoshi Ishikawa","orcid":"https://orcid.org/0000-0002-6096-830X"},"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":"Masatoshi Ishikawa","raw_affiliation_strings":["University of Tokyo, Tokyo, Japan"],"affiliations":[{"raw_affiliation_string":"University of Tokyo, Tokyo, Japan","institution_ids":["https://openalex.org/I74801974"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":6,"corresponding_author_ids":["https://openalex.org/A5061863258"],"corresponding_institution_ids":["https://openalex.org/I113306721","https://openalex.org/I57930482"],"apc_list":null,"apc_paid":null,"fwci":0.0599,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.21773849,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":91,"max":95},"biblio":{"volume":null,"issue":null,"first_page":"730","last_page":"735"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10331","display_name":"Video Surveillance and Tracking Methods","score":0.9998999834060669,"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":0.9998999834060669,"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":0.9995999932289124,"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/T10531","display_name":"Advanced Vision and Imaging","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":0.8623520135879517},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.8507479429244995},{"id":"https://openalex.org/keywords/tracking","display_name":"Tracking (education)","score":0.7459599375724792},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7344765663146973},{"id":"https://openalex.org/keywords/template-matching","display_name":"Template matching","score":0.6901929378509521},{"id":"https://openalex.org/keywords/segmentation","display_name":"Segmentation","score":0.604629635810852},{"id":"https://openalex.org/keywords/image-segmentation","display_name":"Image segmentation","score":0.5739794969558716},{"id":"https://openalex.org/keywords/matching","display_name":"Matching (statistics)","score":0.5575622916221619},{"id":"https://openalex.org/keywords/noise","display_name":"Noise (video)","score":0.4775274991989136},{"id":"https://openalex.org/keywords/active-contour-model","display_name":"Active contour model","score":0.4351048469543457},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.4123052954673767},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.34454575181007385},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.12727606296539307}],"concepts":[{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.8623520135879517},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.8507479429244995},{"id":"https://openalex.org/C2775936607","wikidata":"https://www.wikidata.org/wiki/Q466845","display_name":"Tracking (education)","level":2,"score":0.7459599375724792},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7344765663146973},{"id":"https://openalex.org/C158096908","wikidata":"https://www.wikidata.org/wiki/Q3983303","display_name":"Template matching","level":3,"score":0.6901929378509521},{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.604629635810852},{"id":"https://openalex.org/C124504099","wikidata":"https://www.wikidata.org/wiki/Q56933","display_name":"Image segmentation","level":3,"score":0.5739794969558716},{"id":"https://openalex.org/C165064840","wikidata":"https://www.wikidata.org/wiki/Q1321061","display_name":"Matching (statistics)","level":2,"score":0.5575622916221619},{"id":"https://openalex.org/C99498987","wikidata":"https://www.wikidata.org/wiki/Q2210247","display_name":"Noise (video)","level":3,"score":0.4775274991989136},{"id":"https://openalex.org/C112353826","wikidata":"https://www.wikidata.org/wiki/Q127313","display_name":"Active contour model","level":4,"score":0.4351048469543457},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.4123052954673767},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.34454575181007385},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.12727606296539307},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.0},{"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/sii52469.2022.9708735","is_oa":false,"landing_page_url":"https://doi.org/10.1109/sii52469.2022.9708735","pdf_url":null,"source":{"id":"https://openalex.org/S4363605592","display_name":"2022 IEEE/SICE International Symposium on System Integration (SII)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2022 IEEE/SICE International Symposium on System Integration (SII)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":13,"referenced_works":["https://openalex.org/W1964846093","https://openalex.org/W2344934580","https://openalex.org/W2781110478","https://openalex.org/W2792919579","https://openalex.org/W2853067597","https://openalex.org/W2897396640","https://openalex.org/W2963136578","https://openalex.org/W2963150697","https://openalex.org/W2964211168","https://openalex.org/W2990767894","https://openalex.org/W2993799773","https://openalex.org/W3037060406","https://openalex.org/W3130330135"],"related_works":["https://openalex.org/W2387003628","https://openalex.org/W123102278","https://openalex.org/W2786750592","https://openalex.org/W2000662299","https://openalex.org/W2802511870","https://openalex.org/W4210537690","https://openalex.org/W2885157826","https://openalex.org/W2372581239","https://openalex.org/W2159463658","https://openalex.org/W4388208420"],"abstract_inverted_index":{"In":[0],"this":[1],"paper,":[2],"we":[3],"propose":[4],"a":[5,66],"method":[6,17],"for":[7,46],"tracking":[8,40,52,82],"with":[9],"identification":[10],"and":[11,23,49],"separation":[12],"using":[13],"high-speed":[14,81],"vision.":[15],"This":[16],"is":[18],"based":[19,74],"on":[20,62,69,75],"template":[21,26,44,47],"matching":[22],"updating":[24],"of":[25,38,91,93],"images":[27,63],"by":[28,65],"instance":[29],"segmentation.":[30],"We":[31],"used":[32],"an":[33,70],"image":[34,45],"inside":[35],"the":[36,39,43,51,56],"contour":[37,76],"object":[41],"as":[42],"matching,":[48],"reduced":[50],"noise.":[53],"To":[54],"validate":[55],"proposed":[57],"method,":[58],"experiments":[59],"were":[60],"conducted":[61],"acquired":[64],"camera":[67],"mounted":[68],"actual":[71],"vehicle.":[72],"Tracking":[73],"information":[77],"realized":[78],"more":[79],"robust":[80],"than":[83],"that":[84],"achieved":[85],"in":[86,89],"recent":[87],"research":[88],"case":[90],"overlapping":[92],"vehicles.":[94]},"counts_by_year":[{"year":2025,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
