{"id":"https://openalex.org/W1993135870","doi":"https://doi.org/10.1117/12.2030637","title":"A novel method for detecting and tracking vehicles in traffic-image sequence","display_name":"A novel method for detecting and tracking vehicles in traffic-image sequence","publication_year":2013,"publication_date":"2013-07-19","ids":{"openalex":"https://openalex.org/W1993135870","doi":"https://doi.org/10.1117/12.2030637","mag":"1993135870"},"language":"en","primary_location":{"id":"doi:10.1117/12.2030637","is_oa":false,"landing_page_url":"https://doi.org/10.1117/12.2030637","pdf_url":null,"source":{"id":"https://openalex.org/S183492911","display_name":"Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE","issn_l":"0277-786X","issn":["0277-786X","1996-756X"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310315543","host_organization_name":"SPIE","host_organization_lineage":["https://openalex.org/P4310315543"],"host_organization_lineage_names":["SPIE"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"SPIE Proceedings","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/A5101511488","display_name":"Jieqiong Xu","orcid":"https://orcid.org/0000-0001-9560-0399"},"institutions":[{"id":"https://openalex.org/I59028903","display_name":"Ocean University of China","ror":"https://ror.org/04rdtx186","country_code":"CN","type":"education","lineage":["https://openalex.org/I59028903"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jieqiong Xu","raw_affiliation_strings":["Ocean Univ. of China (China)","Ocean Univ. of China, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Ocean Univ. of China (China)","institution_ids":["https://openalex.org/I59028903"]},{"raw_affiliation_string":"Ocean Univ. of China, China","institution_ids":["https://openalex.org/I59028903"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5102966200","display_name":"Guoyu Wang","orcid":"https://orcid.org/0000-0003-2472-5519"},"institutions":[{"id":"https://openalex.org/I59028903","display_name":"Ocean University of China","ror":"https://ror.org/04rdtx186","country_code":"CN","type":"education","lineage":["https://openalex.org/I59028903"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Guoyu Wang","raw_affiliation_strings":["Ocean Univ. of China (China)","Ocean Univ. of China, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Ocean Univ. of China (China)","institution_ids":["https://openalex.org/I59028903"]},{"raw_affiliation_string":"Ocean Univ. of China, China","institution_ids":["https://openalex.org/I59028903"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100563417","display_name":"Feifei Sun","orcid":null},"institutions":[{"id":"https://openalex.org/I59028903","display_name":"Ocean University of China","ror":"https://ror.org/04rdtx186","country_code":"CN","type":"education","lineage":["https://openalex.org/I59028903"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Feifei Sun","raw_affiliation_strings":["Ocean Univ. of China (China)","Ocean Univ. of China, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Ocean Univ. of China (China)","institution_ids":["https://openalex.org/I59028903"]},{"raw_affiliation_string":"Ocean Univ. of China, China","institution_ids":["https://openalex.org/I59028903"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I59028903"],"apc_list":null,"apc_paid":null,"fwci":0.2763,"has_fulltext":false,"cited_by_count":5,"citation_normalized_percentile":{"value":0.58146849,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":97},"biblio":{"volume":"8878","issue":null,"first_page":"88782P","last_page":"88782P"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10331","display_name":"Video Surveillance and Tracking Methods","score":0.9653000235557556,"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":0.9653000235557556,"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/T10320","display_name":"Neural Networks and Applications","score":0.9652000069618225,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"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/T12702","display_name":"Brain Tumor Detection and Classification","score":0.9641000032424927,"subfield":{"id":"https://openalex.org/subfields/2808","display_name":"Neurology"},"field":{"id":"https://openalex.org/fields/28","display_name":"Neuroscience"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.8601914644241333},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.8075106143951416},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.7832915782928467},{"id":"https://openalex.org/keywords/optical-flow","display_name":"Optical flow","score":0.6584938764572144},{"id":"https://openalex.org/keywords/tracking","display_name":"Tracking (education)","score":0.5528867244720459},{"id":"https://openalex.org/keywords/background-subtraction","display_name":"Background subtraction","score":0.5253241062164307},{"id":"https://openalex.org/keywords/object-detection","display_name":"Object detection","score":0.48833271861076355},{"id":"https://openalex.org/keywords/matching","display_name":"Matching (statistics)","score":0.4875933527946472},{"id":"https://openalex.org/keywords/segmentation","display_name":"Segmentation","score":0.48478955030441284},{"id":"https://openalex.org/keywords/motion-detection","display_name":"Motion detection","score":0.44596046209335327},{"id":"https://openalex.org/keywords/image-segmentation","display_name":"Image segmentation","score":0.4403298795223236},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.4186948239803314},{"id":"https://openalex.org/keywords/motion","display_name":"Motion (physics)","score":0.41520124673843384},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.35717374086380005},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.3518655002117157},{"id":"https://openalex.org/keywords/pixel","display_name":"Pixel","score":0.184636652469635}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8601914644241333},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.8075106143951416},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.7832915782928467},{"id":"https://openalex.org/C155542232","wikidata":"https://www.wikidata.org/wiki/Q736111","display_name":"Optical flow","level":3,"score":0.6584938764572144},{"id":"https://openalex.org/C2775936607","wikidata":"https://www.wikidata.org/wiki/Q466845","display_name":"Tracking (education)","level":2,"score":0.5528867244720459},{"id":"https://openalex.org/C32653426","wikidata":"https://www.wikidata.org/wiki/Q3813641","display_name":"Background subtraction","level":3,"score":0.5253241062164307},{"id":"https://openalex.org/C2776151529","wikidata":"https://www.wikidata.org/wiki/Q3045304","display_name":"Object detection","level":3,"score":0.48833271861076355},{"id":"https://openalex.org/C165064840","wikidata":"https://www.wikidata.org/wiki/Q1321061","display_name":"Matching (statistics)","level":2,"score":0.4875933527946472},{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.48478955030441284},{"id":"https://openalex.org/C2780624872","wikidata":"https://www.wikidata.org/wiki/Q852453","display_name":"Motion detection","level":3,"score":0.44596046209335327},{"id":"https://openalex.org/C124504099","wikidata":"https://www.wikidata.org/wiki/Q56933","display_name":"Image segmentation","level":3,"score":0.4403298795223236},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.4186948239803314},{"id":"https://openalex.org/C104114177","wikidata":"https://www.wikidata.org/wiki/Q79782","display_name":"Motion (physics)","level":2,"score":0.41520124673843384},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.35717374086380005},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3518655002117157},{"id":"https://openalex.org/C160633673","wikidata":"https://www.wikidata.org/wiki/Q355198","display_name":"Pixel","level":2,"score":0.184636652469635},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","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/C19417346","wikidata":"https://www.wikidata.org/wiki/Q7922","display_name":"Pedagogy","level":1,"score":0.0},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1117/12.2030637","is_oa":false,"landing_page_url":"https://doi.org/10.1117/12.2030637","pdf_url":null,"source":{"id":"https://openalex.org/S183492911","display_name":"Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE","issn_l":"0277-786X","issn":["0277-786X","1996-756X"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310315543","host_organization_name":"SPIE","host_organization_lineage":["https://openalex.org/P4310315543"],"host_organization_lineage_names":["SPIE"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"SPIE Proceedings","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":["https://openalex.org/W2067373798","https://openalex.org/W3142777113","https://openalex.org/W2182565506","https://openalex.org/W2929204938","https://openalex.org/W1979616377","https://openalex.org/W2536634271","https://openalex.org/W1975589496","https://openalex.org/W40964945","https://openalex.org/W2751620655","https://openalex.org/W4281560450"],"abstract_inverted_index":{"A":[0],"novel":[1],"method":[2,11,45],"for":[3,27,114],"detecting":[4],"and":[5,68,96,100,138],"tracking":[6,44],"vehicles":[7,35],"is":[8,51],"proposed.":[9],"The":[10],"which":[12,54],"based":[13,46],"on":[14,47],"motion":[15,28,66],"object":[16],"segmentation":[17],"used":[18,62],"Cellular":[19],"Neural":[20],"Network":[21],"(CNN)":[22],"in":[23,30,85,103],"the":[24,34,39,55,70,76,129],"background":[25],"substraction":[26],"detection":[29],"order":[31],"to":[32,63,75],"distinguish":[33],"from":[36],"others":[37],"of":[38],"interested":[40],"regions.":[41],"Meanwhile":[42],"a":[43,111],"regional":[48],"characteristic":[49,58],"matching":[50],"proposed,":[52],"by":[53,117],"distance":[56],"between":[57],"vectors":[59],"can":[60,131],"be":[61],"match":[64],"current":[65],"regions":[67],"track":[69],"vehicles.":[71],"Perceptual":[72],"grouping":[73,120],"refers":[74],"organization":[77],"ability":[78],"that":[79,128],"visual":[80],"system":[81],"detect":[82],"image":[83],"features":[84],"accordance":[86],"with":[87,121,135],"certain":[88],"cues":[89],"such":[90],"as":[91],"proximity,":[92],"continuity,":[93],"closure,":[94],"etc,":[95],"attracts":[97],"wide":[98],"attentions":[99],"high":[101,136],"regards":[102],"computer":[104],"vision.":[105],"In":[106],"this":[107],"paper,":[108],"we":[109],"proposed":[110],"new":[112],"approach":[113],"occlution":[115],"elimination":[116],"combining":[118],"perceptual":[119],"Optical":[122],"flow":[123],"field.":[124],"Experimental":[125],"results":[126],"show":[127],"methods":[130],"extract":[132],"traffic":[133],"information":[134],"accuracy":[137],"efficiency.":[139]},"counts_by_year":[{"year":2020,"cited_by_count":1},{"year":2019,"cited_by_count":3},{"year":2016,"cited_by_count":1}],"updated_date":"2026-06-26T08:34:08.712188","created_date":"2025-10-10T00:00:00"}