{"id":"https://openalex.org/W2244438738","doi":"https://doi.org/10.1109/fskd.2015.7382170","title":"A highway vehicle detection method based on the improved visual background extractor","display_name":"A highway vehicle detection method based on the improved visual background extractor","publication_year":2015,"publication_date":"2015-08-01","ids":{"openalex":"https://openalex.org/W2244438738","doi":"https://doi.org/10.1109/fskd.2015.7382170","mag":"2244438738"},"language":"en","primary_location":{"id":"doi:10.1109/fskd.2015.7382170","is_oa":false,"landing_page_url":"https://doi.org/10.1109/fskd.2015.7382170","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2015 12th International Conference on Fuzzy Systems and Knowledge Discovery (FSKD)","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/A5101667592","display_name":"Wei Peng","orcid":"https://orcid.org/0009-0001-5165-8078"},"institutions":[{"id":"https://openalex.org/I76569877","display_name":"Southeast University","ror":"https://ror.org/04ct4d772","country_code":"CN","type":"education","lineage":["https://openalex.org/I76569877"]},{"id":"https://openalex.org/I4210090971","display_name":"Southeast University","ror":"https://ror.org/00cf0ab87","country_code":"BD","type":"education","lineage":["https://openalex.org/I4210090971"]}],"countries":["BD","CN"],"is_corresponding":true,"raw_author_name":"Peng Wei","raw_affiliation_strings":["Key Laboratory of Measurement and Control of CSE, Ministry of Education, Southeast University, Nanjing, China","School of Automation, Southeast University"],"affiliations":[{"raw_affiliation_string":"Key Laboratory of Measurement and Control of CSE, Ministry of Education, Southeast University, Nanjing, China","institution_ids":["https://openalex.org/I76569877"]},{"raw_affiliation_string":"School of Automation, Southeast University","institution_ids":["https://openalex.org/I4210090971"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5066658319","display_name":"Xiaobo Lu","orcid":"https://orcid.org/0009-0003-3378-7911"},"institutions":[{"id":"https://openalex.org/I76569877","display_name":"Southeast University","ror":"https://ror.org/04ct4d772","country_code":"CN","type":"education","lineage":["https://openalex.org/I76569877"]},{"id":"https://openalex.org/I4210090971","display_name":"Southeast University","ror":"https://ror.org/00cf0ab87","country_code":"BD","type":"education","lineage":["https://openalex.org/I4210090971"]}],"countries":["BD","CN"],"is_corresponding":false,"raw_author_name":"Xiaobo Lu","raw_affiliation_strings":["Key Laboratory of Measurement and Control of CSE, Ministry of Education, Southeast University, Nanjing, China","School of Automation, Southeast University"],"affiliations":[{"raw_affiliation_string":"Key Laboratory of Measurement and Control of CSE, Ministry of Education, Southeast University, Nanjing, China","institution_ids":["https://openalex.org/I76569877"]},{"raw_affiliation_string":"School of Automation, Southeast University","institution_ids":["https://openalex.org/I4210090971"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5084996912","display_name":"Tao Tang","orcid":"https://orcid.org/0000-0002-9071-137X"},"institutions":[{"id":"https://openalex.org/I4210090971","display_name":"Southeast University","ror":"https://ror.org/00cf0ab87","country_code":"BD","type":"education","lineage":["https://openalex.org/I4210090971"]},{"id":"https://openalex.org/I76569877","display_name":"Southeast University","ror":"https://ror.org/04ct4d772","country_code":"CN","type":"education","lineage":["https://openalex.org/I76569877"]}],"countries":["BD","CN"],"is_corresponding":false,"raw_author_name":"Tao Tang","raw_affiliation_strings":["Key Laboratory of Measurement and Control of CSE, Ministry of Education, Southeast University, Nanjing, China","School of Automation, Southeast University"],"affiliations":[{"raw_affiliation_string":"Key Laboratory of Measurement and Control of CSE, Ministry of Education, Southeast University, Nanjing, China","institution_ids":["https://openalex.org/I76569877"]},{"raw_affiliation_string":"School of Automation, Southeast University","institution_ids":["https://openalex.org/I4210090971"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100331549","display_name":"Cong Li","orcid":"https://orcid.org/0000-0001-7731-8031"},"institutions":[{"id":"https://openalex.org/I76569877","display_name":"Southeast University","ror":"https://ror.org/04ct4d772","country_code":"CN","type":"education","lineage":["https://openalex.org/I76569877"]},{"id":"https://openalex.org/I4210090971","display_name":"Southeast University","ror":"https://ror.org/00cf0ab87","country_code":"BD","type":"education","lineage":["https://openalex.org/I4210090971"]}],"countries":["BD","CN"],"is_corresponding":false,"raw_author_name":"Cong Li","raw_affiliation_strings":["Key Laboratory of Measurement and Control of CSE, Ministry of Education, Southeast University, Nanjing, China","School of Automation, Southeast University"],"affiliations":[{"raw_affiliation_string":"Key Laboratory of Measurement and Control of CSE, Ministry of Education, Southeast University, Nanjing, China","institution_ids":["https://openalex.org/I76569877"]},{"raw_affiliation_string":"School of Automation, Southeast University","institution_ids":["https://openalex.org/I4210090971"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5073623839","display_name":"Jiaji Song","orcid":null},"institutions":[{"id":"https://openalex.org/I4210090971","display_name":"Southeast University","ror":"https://ror.org/00cf0ab87","country_code":"BD","type":"education","lineage":["https://openalex.org/I4210090971"]},{"id":"https://openalex.org/I76569877","display_name":"Southeast University","ror":"https://ror.org/04ct4d772","country_code":"CN","type":"education","lineage":["https://openalex.org/I76569877"]}],"countries":["BD","CN"],"is_corresponding":false,"raw_author_name":"Jiaji Song","raw_affiliation_strings":["Key Laboratory of Measurement and Control of CSE, Ministry of Education, Southeast University, Nanjing, China","School of Automation, Southeast University"],"affiliations":[{"raw_affiliation_string":"Key Laboratory of Measurement and Control of CSE, Ministry of Education, Southeast University, Nanjing, China","institution_ids":["https://openalex.org/I76569877"]},{"raw_affiliation_string":"School of Automation, Southeast University","institution_ids":["https://openalex.org/I4210090971"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5101667592"],"corresponding_institution_ids":["https://openalex.org/I4210090971","https://openalex.org/I76569877"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.12401595,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"14","issue":null,"first_page":"1519","last_page":"1524"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10331","display_name":"Video Surveillance and Tracking Methods","score":0.9994999766349792,"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":0.9994999766349792,"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/T10036","display_name":"Advanced Neural Network Applications","score":0.9898999929428101,"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/T12597","display_name":"Fire Detection and Safety Systems","score":0.9890000224113464,"subfield":{"id":"https://openalex.org/subfields/2213","display_name":"Safety, Risk, Reliability and Quality"},"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/computer-science","display_name":"Computer science","score":0.7708637714385986},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6717548966407776},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.6574304103851318},{"id":"https://openalex.org/keywords/extractor","display_name":"Extractor","score":0.6423338651657104},{"id":"https://openalex.org/keywords/process","display_name":"Process (computing)","score":0.6061981916427612},{"id":"https://openalex.org/keywords/segmentation","display_name":"Segmentation","score":0.6004286408424377},{"id":"https://openalex.org/keywords/image-segmentation","display_name":"Image segmentation","score":0.5609853267669678},{"id":"https://openalex.org/keywords/object-detection","display_name":"Object detection","score":0.5078943371772766},{"id":"https://openalex.org/keywords/image-processing","display_name":"Image processing","score":0.49553382396698},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.4915398061275482},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.3427693843841553},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.14792895317077637}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7708637714385986},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6717548966407776},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.6574304103851318},{"id":"https://openalex.org/C117978034","wikidata":"https://www.wikidata.org/wiki/Q5422192","display_name":"Extractor","level":2,"score":0.6423338651657104},{"id":"https://openalex.org/C98045186","wikidata":"https://www.wikidata.org/wiki/Q205663","display_name":"Process (computing)","level":2,"score":0.6061981916427612},{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.6004286408424377},{"id":"https://openalex.org/C124504099","wikidata":"https://www.wikidata.org/wiki/Q56933","display_name":"Image segmentation","level":3,"score":0.5609853267669678},{"id":"https://openalex.org/C2776151529","wikidata":"https://www.wikidata.org/wiki/Q3045304","display_name":"Object detection","level":3,"score":0.5078943371772766},{"id":"https://openalex.org/C9417928","wikidata":"https://www.wikidata.org/wiki/Q1070689","display_name":"Image processing","level":3,"score":0.49553382396698},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.4915398061275482},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.3427693843841553},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.14792895317077637},{"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/C21880701","wikidata":"https://www.wikidata.org/wiki/Q2144042","display_name":"Process engineering","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/fskd.2015.7382170","is_oa":false,"landing_page_url":"https://doi.org/10.1109/fskd.2015.7382170","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2015 12th International Conference on Fuzzy Systems and Knowledge Discovery (FSKD)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Sustainable cities and communities","score":0.41999998688697815,"id":"https://metadata.un.org/sdg/11"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":18,"referenced_works":["https://openalex.org/W1545028324","https://openalex.org/W1692681216","https://openalex.org/W1990465093","https://openalex.org/W2052492611","https://openalex.org/W2107101034","https://openalex.org/W2112157293","https://openalex.org/W2127070222","https://openalex.org/W2132744778","https://openalex.org/W2144799604","https://openalex.org/W2162566158","https://openalex.org/W2169480229","https://openalex.org/W2188301206","https://openalex.org/W2328135882","https://openalex.org/W2365872746","https://openalex.org/W2379973114","https://openalex.org/W4285719527","https://openalex.org/W6687002037","https://openalex.org/W6986667432"],"related_works":["https://openalex.org/W3082848404","https://openalex.org/W1979583797","https://openalex.org/W2016864125","https://openalex.org/W2372254676","https://openalex.org/W2080135837","https://openalex.org/W2793679056","https://openalex.org/W3145050838","https://openalex.org/W4283332091","https://openalex.org/W2393154870","https://openalex.org/W4237873526"],"abstract_inverted_index":{"When":[0],"using":[1],"the":[2,11,14,27,31,54,80,84,90,103],"unmanned":[3],"aerial":[4],"vehicle":[5,44,92,107],"(UAV)":[6],"to":[7,61,78],"detect":[8],"highway":[9,106],"vehicles,":[10],"movement":[12],"of":[13,30,52,66,105],"UAV":[15],"itself":[16],"will":[17,25],"cause":[18],"great":[19],"background":[20,33,56,67,85],"changes,":[21],"which":[22],"in":[23],"results":[24,96],"reduce":[26],"detection":[28,45,108],"performance":[29],"visual":[32],"extractor":[34],"(ViBe).":[35],"For":[36],"this":[37,39,70,99],"reason,":[38],"paper":[40,71],"proposes":[41],"a":[42,63],"new":[43],"method":[46,100],"based":[47],"on":[48],"improved":[49,60],"ViBe.":[50],"First":[51],"all,":[53],"ViBe":[55],"model":[57],"has":[58],"been":[59],"achieve":[62,89],"better":[64],"result":[65],"segmentation.":[68],"Then":[69],"uses":[72],"several":[73],"morphological":[74],"image":[75,82],"processing":[76],"methods":[77],"process":[79],"binary":[81],"after":[83],"segmentation,":[86],"and":[87],"then":[88],"final":[91],"detection.":[93],"The":[94],"experiment":[95],"show":[97],"that":[98],"can":[101],"improve":[102],"accuracy":[104],"greatly.":[109]},"counts_by_year":[],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}