{"id":"https://openalex.org/W3001439623","doi":"https://doi.org/10.1109/vcip47243.2019.8965812","title":"Pose Recognition for Dense Vehicles under Complex Street Scenario","display_name":"Pose Recognition for Dense Vehicles under Complex Street Scenario","publication_year":2019,"publication_date":"2019-12-01","ids":{"openalex":"https://openalex.org/W3001439623","doi":"https://doi.org/10.1109/vcip47243.2019.8965812","mag":"3001439623"},"language":"en","primary_location":{"id":"doi:10.1109/vcip47243.2019.8965812","is_oa":false,"landing_page_url":"https://doi.org/10.1109/vcip47243.2019.8965812","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2019 IEEE Visual Communications and Image Processing (VCIP)","raw_type":"proceedings-article"},"type":"conference-paper","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/A5078667498","display_name":"Zhenjia Fan","orcid":"https://orcid.org/0000-0003-4966-6965"},"institutions":[{"id":"https://openalex.org/I80947539","display_name":"Fuzhou University","ror":"https://ror.org/011xvna82","country_code":"CN","type":"education","lineage":["https://openalex.org/I80947539"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhenjia Fan","raw_affiliation_strings":["Fuzhou University,College of Physics and Information,China","College of Physics and Information, Fuzhou University, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Fuzhou University,College of Physics and Information,China","institution_ids":["https://openalex.org/I80947539"]},{"raw_affiliation_string":"College of Physics and Information, Fuzhou University, China","institution_ids":["https://openalex.org/I80947539"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100715421","display_name":"Zhifeng Chen","orcid":"https://orcid.org/0000-0001-5137-1344"},"institutions":[{"id":"https://openalex.org/I80947539","display_name":"Fuzhou University","ror":"https://ror.org/011xvna82","country_code":"CN","type":"education","lineage":["https://openalex.org/I80947539"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhifeng Chen","raw_affiliation_strings":["Fuzhou University,College of Physics and Information,China","College of Physics and Information, Fuzhou University, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Fuzhou University,College of Physics and Information,China","institution_ids":["https://openalex.org/I80947539"]},{"raw_affiliation_string":"College of Physics and Information, Fuzhou University, China","institution_ids":["https://openalex.org/I80947539"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5083527205","display_name":"Junyi Wu","orcid":"https://orcid.org/0000-0002-2509-1223"},"institutions":[{"id":"https://openalex.org/I80947539","display_name":"Fuzhou University","ror":"https://ror.org/011xvna82","country_code":"CN","type":"education","lineage":["https://openalex.org/I80947539"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Junyi Wu","raw_affiliation_strings":["Fuzhou University,College of Physics and Information,China","College of Physics and Information, Fuzhou University, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Fuzhou University,College of Physics and Information,China","institution_ids":["https://openalex.org/I80947539"]},{"raw_affiliation_string":"College of Physics and Information, Fuzhou University, China","institution_ids":["https://openalex.org/I80947539"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5070629351","display_name":"Chenhao Pei","orcid":"https://orcid.org/0000-0003-1742-286X"},"institutions":[{"id":"https://openalex.org/I80947539","display_name":"Fuzhou University","ror":"https://ror.org/011xvna82","country_code":"CN","type":"education","lineage":["https://openalex.org/I80947539"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Chenhao Pei","raw_affiliation_strings":["Fuzhou University,College of Physics and Information,China","College of Physics and Information, Fuzhou University, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Fuzhou University,College of Physics and Information,China","institution_ids":["https://openalex.org/I80947539"]},{"raw_affiliation_string":"College of Physics and Information, Fuzhou University, China","institution_ids":["https://openalex.org/I80947539"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I80947539"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.28090278,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":94},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"4"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12707","display_name":"Vehicle License Plate Recognition","score":0.9987000226974487,"subfield":{"id":"https://openalex.org/subfields/2214","display_name":"Media Technology"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T12707","display_name":"Vehicle License Plate Recognition","score":0.9987000226974487,"subfield":{"id":"https://openalex.org/subfields/2214","display_name":"Media Technology"},"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/T10036","display_name":"Advanced Neural Network Applications","score":0.9983999729156494,"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/T12549","display_name":"Image and Object Detection Techniques","score":0.9979000091552734,"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-science","display_name":"Computer science","score":0.6548184156417847},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.398388147354126},{"id":"https://openalex.org/keywords/transport-engineering","display_name":"Transport engineering","score":0.38489001989364624},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.3505614399909973},{"id":"https://openalex.org/keywords/human\u2013computer-interaction","display_name":"Human\u2013computer interaction","score":0.3365548253059387},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.15819987654685974}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6548184156417847},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.398388147354126},{"id":"https://openalex.org/C22212356","wikidata":"https://www.wikidata.org/wiki/Q775325","display_name":"Transport engineering","level":1,"score":0.38489001989364624},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.3505614399909973},{"id":"https://openalex.org/C107457646","wikidata":"https://www.wikidata.org/wiki/Q207434","display_name":"Human\u2013computer interaction","level":1,"score":0.3365548253059387},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.15819987654685974}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/vcip47243.2019.8965812","is_oa":false,"landing_page_url":"https://doi.org/10.1109/vcip47243.2019.8965812","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2019 IEEE Visual Communications and Image Processing (VCIP)","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":0.8299999833106995}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":20,"referenced_works":["https://openalex.org/W639708223","https://openalex.org/W1836465849","https://openalex.org/W2031489346","https://openalex.org/W2108598243","https://openalex.org/W2139137304","https://openalex.org/W2302574575","https://openalex.org/W2340897893","https://openalex.org/W2570343428","https://openalex.org/W2571975379","https://openalex.org/W2613718673","https://openalex.org/W2763268728","https://openalex.org/W2899511067","https://openalex.org/W2950800384","https://openalex.org/W2963150697","https://openalex.org/W3040318838","https://openalex.org/W4300124531","https://openalex.org/W6620707391","https://openalex.org/W6638667902","https://openalex.org/W6714138976","https://openalex.org/W6756074359"],"related_works":["https://openalex.org/W2772917594","https://openalex.org/W2036807459","https://openalex.org/W2058170566","https://openalex.org/W2755342338","https://openalex.org/W2166024367","https://openalex.org/W3116076068","https://openalex.org/W2229312674","https://openalex.org/W2951359407","https://openalex.org/W2079911747","https://openalex.org/W1969923398"],"abstract_inverted_index":{"Locating":[0],"vehicles":[1,31,97],"in":[2,12,40,147],"the":[3,36,49,70,77,96,108,115,119,142],"surrounding":[4],"environment":[5],"and":[6,29,60,128],"distinguishing":[7],"their":[8,42],"poses":[9,37,68,90],"are":[10,62,86],"crucial":[11],"autonomous":[13],"driving":[14],"systems.":[15],"An":[16],"intelligent":[17],"transportation":[18],"system":[19],"expects":[20],"a":[21,102],"vision-based":[22],"object":[23,51],"detector":[24,122],"not":[25],"only":[26,54],"to":[27,34,88,123,141],"detect":[28],"classify":[30,55],"but":[32],"also":[33,113],"recognize":[35],"of":[38,48,58,73,91,118,134],"them":[39],"estimating":[41],"future":[43],"movement":[44],"direction.":[45],"However,":[46],"most":[47],"current":[50],"detection":[52,127],"algorithms":[53],"different":[56,67,89],"classes":[57],"vehicles;":[59],"there":[61],"rare":[63],"studies":[64],"on":[65,107],"classifying":[66],"within":[69],"same":[71],"class":[72],"vehicles.":[74,93],"In":[75],"addition,":[76],"currently":[78],"available":[79],"datasets":[80],"have":[81],"no":[82],"annotation":[83],"data":[84],"that":[85],"specific":[87],"intra-class":[92],"To":[94],"achieve":[95],"pose":[98,104,129],"recognition,":[99],"we":[100,112],"build":[101],"vehicle":[103,126],"dataset":[105],"based":[106],"Cityscapes":[109],"dataset.":[110],"Furthermore,":[111],"improve":[114],"network":[116,144],"model":[117],"YOLO":[120],"v2":[121],"support":[124],"simultaneous":[125],"classification":[130],"with":[131,149],"an":[132],"improvement":[133],"10.71%":[135],"mean":[136],"average":[137],"precision":[138],"(mAP)":[139],"comparing":[140],"default":[143],"which":[145],"runs":[146],"real-time":[148],"29":[150],"FPS.":[151]},"counts_by_year":[{"year":2023,"cited_by_count":1}],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2025-10-10T00:00:00"}