{"id":"https://openalex.org/W2165969257","doi":"https://doi.org/10.1109/icassp.2002.5745494","title":"A pattern recognition and feature fusion formulation for vehicle reidentification in Intelligent Transportation Systems","display_name":"A pattern recognition and feature fusion formulation for vehicle reidentification in Intelligent Transportation Systems","publication_year":2002,"publication_date":"2002-05-01","ids":{"openalex":"https://openalex.org/W2165969257","doi":"https://doi.org/10.1109/icassp.2002.5745494","mag":"2165969257"},"language":"en","primary_location":{"id":"doi:10.1109/icassp.2002.5745494","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icassp.2002.5745494","pdf_url":null,"source":{"id":"https://openalex.org/S4363607879","display_name":"IEEE International Conference on Acoustics Speech and Signal Processing","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":"IEEE International Conference on Acoustics Speech and Signal 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/A5036207748","display_name":"Ravi P. Ramachandran","orcid":"https://orcid.org/0000-0003-0011-4561"},"institutions":[{"id":"https://openalex.org/I44265643","display_name":"Rowan University","ror":"https://ror.org/049v69k10","country_code":"US","type":"education","lineage":["https://openalex.org/I44265643"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Ravi P. Ramachandran","raw_affiliation_strings":["Rowan University, Glassboro, NJ, USA"],"affiliations":[{"raw_affiliation_string":"Rowan University, Glassboro, NJ, USA","institution_ids":["https://openalex.org/I44265643"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5038929916","display_name":"Glenn Arr","orcid":null},"institutions":[{"id":"https://openalex.org/I44265643","display_name":"Rowan University","ror":"https://ror.org/049v69k10","country_code":"US","type":"education","lineage":["https://openalex.org/I44265643"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Glenn Arr","raw_affiliation_strings":["Rowan University, Glassboro, NJ, USA"],"affiliations":[{"raw_affiliation_string":"Rowan University, Glassboro, NJ, USA","institution_ids":["https://openalex.org/I44265643"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5012999159","display_name":"Carlos Sun","orcid":"https://orcid.org/0000-0002-8857-9648"},"institutions":[{"id":"https://openalex.org/I76835614","display_name":"University of Missouri","ror":"https://ror.org/02ymw8z06","country_code":"US","type":"education","lineage":["https://openalex.org/I76835614"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Carlos Sun","raw_affiliation_strings":["University of Missouri, Columbia, MO, USA"],"affiliations":[{"raw_affiliation_string":"University of Missouri, Columbia, MO, USA","institution_ids":["https://openalex.org/I76835614"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5058186108","display_name":"Stephen G. Ritchie","orcid":"https://orcid.org/0000-0001-7881-0415"},"institutions":[{"id":"https://openalex.org/I204250578","display_name":"University of California, Irvine","ror":"https://ror.org/04gyf1771","country_code":"US","type":"education","lineage":["https://openalex.org/I204250578"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Stephen G. Ritchie","raw_affiliation_strings":["University of California, Irvine, CA, USA"],"affiliations":[{"raw_affiliation_string":"University of California, Irvine, CA, USA","institution_ids":["https://openalex.org/I204250578"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5036207748"],"corresponding_institution_ids":["https://openalex.org/I44265643"],"apc_list":null,"apc_paid":null,"fwci":1.344,"has_fulltext":false,"cited_by_count":14,"citation_normalized_percentile":{"value":0.79878049,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":97},"biblio":{"volume":null,"issue":null,"first_page":"IV","last_page":"3840"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10331","display_name":"Video Surveillance and Tracking Methods","score":0.9995999932289124,"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":0.9995999932289124,"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/T11344","display_name":"Traffic Prediction and Management Techniques","score":0.9980999827384949,"subfield":{"id":"https://openalex.org/subfields/2215","display_name":"Building and Construction"},"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/T11099","display_name":"Autonomous Vehicle Technology and Safety","score":0.9939000010490417,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/tree-traversal","display_name":"Tree traversal","score":0.802135705947876},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5834810137748718},{"id":"https://openalex.org/keywords/process","display_name":"Process (computing)","score":0.577060878276825},{"id":"https://openalex.org/keywords/intelligent-transportation-system","display_name":"Intelligent transportation system","score":0.5724924206733704},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.5712560415267944},{"id":"https://openalex.org/keywords/vehicle-tracking-system","display_name":"Vehicle tracking system","score":0.555793821811676},{"id":"https://openalex.org/keywords/sensor-fusion","display_name":"Sensor fusion","score":0.5344388484954834},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5216149091720581},{"id":"https://openalex.org/keywords/induction-loop","display_name":"Induction loop","score":0.478534072637558},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.4483906626701355},{"id":"https://openalex.org/keywords/detector","display_name":"Detector","score":0.3721051812171936},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.36980170011520386},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.36003100872039795},{"id":"https://openalex.org/keywords/segmentation","display_name":"Segmentation","score":0.29928117990493774},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.27775490283966064},{"id":"https://openalex.org/keywords/transport-engineering","display_name":"Transport engineering","score":0.09809368848800659},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.09415698051452637}],"concepts":[{"id":"https://openalex.org/C140745168","wikidata":"https://www.wikidata.org/wiki/Q1210082","display_name":"Tree traversal","level":2,"score":0.802135705947876},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5834810137748718},{"id":"https://openalex.org/C98045186","wikidata":"https://www.wikidata.org/wiki/Q205663","display_name":"Process (computing)","level":2,"score":0.577060878276825},{"id":"https://openalex.org/C47796450","wikidata":"https://www.wikidata.org/wiki/Q508378","display_name":"Intelligent transportation system","level":2,"score":0.5724924206733704},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.5712560415267944},{"id":"https://openalex.org/C84119951","wikidata":"https://www.wikidata.org/wiki/Q3498530","display_name":"Vehicle tracking system","level":3,"score":0.555793821811676},{"id":"https://openalex.org/C33954974","wikidata":"https://www.wikidata.org/wiki/Q486494","display_name":"Sensor fusion","level":2,"score":0.5344388484954834},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5216149091720581},{"id":"https://openalex.org/C8406815","wikidata":"https://www.wikidata.org/wiki/Q2163913","display_name":"Induction loop","level":3,"score":0.478534072637558},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.4483906626701355},{"id":"https://openalex.org/C94915269","wikidata":"https://www.wikidata.org/wiki/Q1834857","display_name":"Detector","level":2,"score":0.3721051812171936},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.36980170011520386},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.36003100872039795},{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.29928117990493774},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.27775490283966064},{"id":"https://openalex.org/C22212356","wikidata":"https://www.wikidata.org/wiki/Q775325","display_name":"Transport engineering","level":1,"score":0.09809368848800659},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.09415698051452637},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icassp.2002.5745494","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icassp.2002.5745494","pdf_url":null,"source":{"id":"https://openalex.org/S4363607879","display_name":"IEEE International Conference on Acoustics Speech and Signal Processing","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":"IEEE International Conference on Acoustics Speech and Signal Processing","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[{"id":"https://openalex.org/F4320308025","display_name":"California Department of Transportation","ror":"https://ror.org/04d46jp54"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":9,"referenced_works":["https://openalex.org/W320329301","https://openalex.org/W583444505","https://openalex.org/W611797830","https://openalex.org/W1982794588","https://openalex.org/W2025653611","https://openalex.org/W2132780053","https://openalex.org/W2135031448","https://openalex.org/W4244494905","https://openalex.org/W6611110856"],"related_works":["https://openalex.org/W170547082","https://openalex.org/W2136735429","https://openalex.org/W1968616299","https://openalex.org/W2381868779","https://openalex.org/W2001943318","https://openalex.org/W598297071","https://openalex.org/W2108735200","https://openalex.org/W2141035746","https://openalex.org/W204372340","https://openalex.org/W2204324559"],"abstract_inverted_index":{"Vehicle":[0],"reidentification":[1,69],"is":[2,118,135],"the":[3,14,17,50,78,112,124],"process":[4],"of":[5,44,126],"reidentifying":[6],"or":[7],"tracking":[8,43],"vehicles":[9,45],"from":[10,46,83,100,141],"one":[11],"point":[12],"on":[13,97,137],"roadway":[15],"to":[16,103,120],"next.":[18],"By":[19],"performing":[20],"vehicle":[21,68,87],"reidentification,":[22],"important":[23],"traffic":[24],"parameters":[25],"including":[26],"travel":[27],"time,":[28],"section":[29],"density":[30],"and":[31,48,92,114],"partial":[32],"dynamic":[33],"origin/destination":[34],"demands":[35],"can":[36],"be":[37],"obtained.":[38],"This":[39,63],"provides":[40],"for":[41,52],"anonymous":[42],"site-to-site":[47],"has":[49],"potential":[51],"improving":[53],"Intelligent":[54],"Transportation":[55],"Systems":[56],"(ITS)":[57],"by":[58],"providing":[59],"more":[60,129],"accurate":[61],"data.":[62],"paper":[64],"presents":[65],"a":[66,131,142],"new":[67],"algorithm":[70],"that":[71],"uses":[72],"four":[73,127],"different":[74],"features,":[75,128],"namely,":[76],"(I)":[77],"inductive":[79],"signature":[80],"vector":[81],"acquired":[82,99],"loop":[84],"detectors,":[85],"(2)":[86],"velocity,":[88],"(3)":[89],"traversal":[90],"time":[91],"(4)":[93],"color":[94],"information":[95],"(based":[96],"images":[98],"video":[101],"cameras)":[102],"achieve":[104],"high":[105],"accuracy.":[106],"A":[107],"nearest":[108],"neighbor":[109],"approach":[110],"classifies":[111],"features":[113],"linear":[115],"feature":[116],"fusion":[117,125],"shown":[119],"improve":[121],"performance.":[122],"With":[123],"than":[130],"91":[132],"percent":[133],"accuracy":[134],"obtained":[136],"real":[138],"data":[139],"collected":[140],"parkway":[143],"in":[144],"California.":[145]},"counts_by_year":[{"year":2022,"cited_by_count":3},{"year":2019,"cited_by_count":1},{"year":2017,"cited_by_count":1},{"year":2013,"cited_by_count":2}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
