{"id":"https://openalex.org/W2112507898","doi":"https://doi.org/10.1109/ccis.2011.6045117","title":"An improved non-parametric background model and two-level classifier for traffic information recognition","display_name":"An improved non-parametric background model and two-level classifier for traffic information recognition","publication_year":2011,"publication_date":"2011-09-01","ids":{"openalex":"https://openalex.org/W2112507898","doi":"https://doi.org/10.1109/ccis.2011.6045117","mag":"2112507898"},"language":"en","primary_location":{"id":"doi:10.1109/ccis.2011.6045117","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ccis.2011.6045117","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2011 IEEE International Conference on Cloud Computing and Intelligence Systems","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/A5033438332","display_name":"Song Bi","orcid":"https://orcid.org/0000-0002-2601-6321"},"institutions":[{"id":"https://openalex.org/I139759216","display_name":"Beijing University of Posts and Telecommunications","ror":"https://ror.org/04w9fbh59","country_code":"CN","type":"education","lineage":["https://openalex.org/I139759216"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Song Bi","raw_affiliation_strings":["Center for Intelligence Science and Technology, Beijing University of Posts and Telecommunications, Beijing, China"],"affiliations":[{"raw_affiliation_string":"Center for Intelligence Science and Technology, Beijing University of Posts and Telecommunications, Beijing, China","institution_ids":["https://openalex.org/I139759216"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5077988669","display_name":"Han Li-qun","orcid":null},"institutions":[{"id":"https://openalex.org/I139759216","display_name":"Beijing University of Posts and Telecommunications","ror":"https://ror.org/04w9fbh59","country_code":"CN","type":"education","lineage":["https://openalex.org/I139759216"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Liqun Han","raw_affiliation_strings":["Center for Intelligence Science and Technology, Beijing University of Posts and Telecommunications, Beijing, China"],"affiliations":[{"raw_affiliation_string":"Center for Intelligence Science and Technology, Beijing University of Posts and Telecommunications, Beijing, China","institution_ids":["https://openalex.org/I139759216"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101037440","display_name":"Yixin Zhong","orcid":null},"institutions":[{"id":"https://openalex.org/I139759216","display_name":"Beijing University of Posts and Telecommunications","ror":"https://ror.org/04w9fbh59","country_code":"CN","type":"education","lineage":["https://openalex.org/I139759216"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yixin Zhong","raw_affiliation_strings":["Center for Intelligence Science and Technology, Beijing University of Posts and Telecommunications, Beijing, China"],"affiliations":[{"raw_affiliation_string":"Center for Intelligence Science and Technology, Beijing University of Posts and Telecommunications, Beijing, China","institution_ids":["https://openalex.org/I139759216"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100351304","display_name":"Xiaojie Wang","orcid":"https://orcid.org/0000-0003-0314-8951"},"institutions":[{"id":"https://openalex.org/I139759216","display_name":"Beijing University of Posts and Telecommunications","ror":"https://ror.org/04w9fbh59","country_code":"CN","type":"education","lineage":["https://openalex.org/I139759216"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xiaojie Wang","raw_affiliation_strings":["Center for Intelligence Science and Technology, Beijing University of Posts and Telecommunications, Beijing, China"],"affiliations":[{"raw_affiliation_string":"Center for Intelligence Science and Technology, Beijing University of Posts and Telecommunications, Beijing, China","institution_ids":["https://openalex.org/I139759216"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5028109650","display_name":"Hairu Guo","orcid":"https://orcid.org/0009-0003-6226-794X"},"institutions":[{"id":"https://openalex.org/I139759216","display_name":"Beijing University of Posts and Telecommunications","ror":"https://ror.org/04w9fbh59","country_code":"CN","type":"education","lineage":["https://openalex.org/I139759216"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Hairu Guo","raw_affiliation_strings":["Center for Intelligence Science and Technology, Beijing University of Posts and Telecommunications, Beijing, China"],"affiliations":[{"raw_affiliation_string":"Center for Intelligence Science and Technology, Beijing University of Posts and Telecommunications, Beijing, China","institution_ids":["https://openalex.org/I139759216"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5033438332"],"corresponding_institution_ids":["https://openalex.org/I139759216"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.15961996,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"96","issue":null,"first_page":"495","last_page":"499"},"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":0.9988999962806702,"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/T11344","display_name":"Traffic Prediction and Management Techniques","score":0.9983000159263611,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7299730777740479},{"id":"https://openalex.org/keywords/classifier","display_name":"Classifier (UML)","score":0.628785252571106},{"id":"https://openalex.org/keywords/parametric-statistics","display_name":"Parametric statistics","score":0.5650177001953125},{"id":"https://openalex.org/keywords/traffic-classification","display_name":"Traffic classification","score":0.5500390529632568},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5478982925415039},{"id":"https://openalex.org/keywords/road-traffic","display_name":"Road traffic","score":0.43319639563560486},{"id":"https://openalex.org/keywords/traffic-analysis","display_name":"Traffic analysis","score":0.42844846844673157},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.42396312952041626},{"id":"https://openalex.org/keywords/computational-complexity-theory","display_name":"Computational complexity theory","score":0.4182930886745453},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.408974826335907},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.34718450903892517},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.11684301495552063},{"id":"https://openalex.org/keywords/quality-of-service","display_name":"Quality of service","score":0.11331954598426819},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.09851130843162537},{"id":"https://openalex.org/keywords/computer-network","display_name":"Computer network","score":0.07970869541168213}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7299730777740479},{"id":"https://openalex.org/C95623464","wikidata":"https://www.wikidata.org/wiki/Q1096149","display_name":"Classifier (UML)","level":2,"score":0.628785252571106},{"id":"https://openalex.org/C117251300","wikidata":"https://www.wikidata.org/wiki/Q1849855","display_name":"Parametric statistics","level":2,"score":0.5650177001953125},{"id":"https://openalex.org/C169988225","wikidata":"https://www.wikidata.org/wiki/Q7832484","display_name":"Traffic classification","level":3,"score":0.5500390529632568},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5478982925415039},{"id":"https://openalex.org/C2985695025","wikidata":"https://www.wikidata.org/wiki/Q4323994","display_name":"Road traffic","level":2,"score":0.43319639563560486},{"id":"https://openalex.org/C2781317605","wikidata":"https://www.wikidata.org/wiki/Q7832483","display_name":"Traffic analysis","level":2,"score":0.42844846844673157},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.42396312952041626},{"id":"https://openalex.org/C179799912","wikidata":"https://www.wikidata.org/wiki/Q205084","display_name":"Computational complexity theory","level":2,"score":0.4182930886745453},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.408974826335907},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.34718450903892517},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.11684301495552063},{"id":"https://openalex.org/C5119721","wikidata":"https://www.wikidata.org/wiki/Q220501","display_name":"Quality of service","level":2,"score":0.11331954598426819},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.09851130843162537},{"id":"https://openalex.org/C31258907","wikidata":"https://www.wikidata.org/wiki/Q1301371","display_name":"Computer network","level":1,"score":0.07970869541168213},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.0},{"id":"https://openalex.org/C22212356","wikidata":"https://www.wikidata.org/wiki/Q775325","display_name":"Transport engineering","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:10.1109/ccis.2011.6045117","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ccis.2011.6045117","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2011 IEEE International Conference on Cloud Computing and Intelligence Systems","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/11","score":0.7300000190734863,"display_name":"Sustainable cities and communities"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":7,"referenced_works":["https://openalex.org/W657859343","https://openalex.org/W2011884626","https://openalex.org/W2118143383","https://openalex.org/W2159701653","https://openalex.org/W2171963437","https://openalex.org/W2372220433","https://openalex.org/W2560975719"],"related_works":["https://openalex.org/W3171671300","https://openalex.org/W4293088549","https://openalex.org/W2964663688","https://openalex.org/W3007491104","https://openalex.org/W4399181772","https://openalex.org/W3130174800","https://openalex.org/W4285292284","https://openalex.org/W3205825343","https://openalex.org/W4296473472","https://openalex.org/W2355762058"],"abstract_inverted_index":{"Acquirement":[0],"of":[1,45,47,58],"real-time":[2],"and":[3,15,39],"overall":[4],"traffic":[5,17,33,48,59],"information":[6],"is":[7,53],"very":[8],"important":[9],"for":[10,55],"improving":[11],"road":[12],"network":[13],"efficiency":[14],"reducing":[16],"congestion.":[18],"This":[19],"paper":[20],"proposed":[21,54],"an":[22],"improved":[23],"non-parametric":[24],"background":[25],"model":[26],"to":[27],"segment":[28],"the":[29,43],"moving":[30],"vehicles":[31],"from":[32,63,72],"videos":[34],"with":[35,70],"limited":[36],"computational":[37],"complexity":[38],"space":[40],"complexity.":[41],"With":[42],"analysis":[44],"characteristics":[46],"parameters,":[49],"a":[50],"two-level":[51],"classifier":[52],"automatic":[56,64],"recognition":[57,65],"information.":[60],"The":[61],"results":[62],"have":[66],"high":[67],"coincidence":[68],"rate":[69],"those":[71],"expert":[73],"classification.":[74]},"counts_by_year":[],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}