{"id":"https://openalex.org/W2166331307","doi":"https://doi.org/10.1109/icmlc.2011.6017033","title":"Multi-object tracking in video using Localized Generalization Error model based RBFNN","display_name":"Multi-object tracking in video using Localized Generalization Error model based RBFNN","publication_year":2011,"publication_date":"2011-07-01","ids":{"openalex":"https://openalex.org/W2166331307","doi":"https://doi.org/10.1109/icmlc.2011.6017033","mag":"2166331307"},"language":"en","primary_location":{"id":"doi:10.1109/icmlc.2011.6017033","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icmlc.2011.6017033","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2011 International Conference on Machine Learning and Cybernetics","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/A5105759393","display_name":"Wing W. Y. Ng","orcid":"https://orcid.org/0000-0003-0783-3585"},"institutions":[{"id":"https://openalex.org/I90610280","display_name":"South China University of Technology","ror":"https://ror.org/0530pts50","country_code":"CN","type":"education","lineage":["https://openalex.org/I90610280"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Wing W. Y. Ng","raw_affiliation_strings":["Machine Learning and Cybernetic Research Center, School of Computer Science and Engineering, South China University of Technology, Guangzhou, China"],"affiliations":[{"raw_affiliation_string":"Machine Learning and Cybernetic Research Center, School of Computer Science and Engineering, South China University of Technology, Guangzhou, China","institution_ids":["https://openalex.org/I90610280"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5024463019","display_name":"Xianheng Ma","orcid":null},"institutions":[{"id":"https://openalex.org/I90610280","display_name":"South China University of Technology","ror":"https://ror.org/0530pts50","country_code":"CN","type":"education","lineage":["https://openalex.org/I90610280"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xian-Heng Ma","raw_affiliation_strings":["School of Software Engineering, South China University of Technology, Guangzhou, China"],"affiliations":[{"raw_affiliation_string":"School of Software Engineering, South China University of Technology, Guangzhou, China","institution_ids":["https://openalex.org/I90610280"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5031854980","display_name":"Patrick P. K. Chan","orcid":"https://orcid.org/0000-0001-7774-580X"},"institutions":[{"id":"https://openalex.org/I90610280","display_name":"South China University of Technology","ror":"https://ror.org/0530pts50","country_code":"CN","type":"education","lineage":["https://openalex.org/I90610280"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Patrick P. K. Chan","raw_affiliation_strings":["Machine Learning and Cybernetic Research Center, School of Computer Science and Engineering, South China University of Technology, Guangzhou, China"],"affiliations":[{"raw_affiliation_string":"Machine Learning and Cybernetic Research Center, School of Computer Science and Engineering, South China University of Technology, Guangzhou, China","institution_ids":["https://openalex.org/I90610280"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5006543313","display_name":"Daniel Yeung","orcid":"https://orcid.org/0000-0001-9397-8865"},"institutions":[{"id":"https://openalex.org/I90610280","display_name":"South China University of Technology","ror":"https://ror.org/0530pts50","country_code":"CN","type":"education","lineage":["https://openalex.org/I90610280"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Daniel S. Yeung","raw_affiliation_strings":["Machine Learning and Cybernetic Research Center, School of Computer Science and Engineering, South China University of Technology, Guangzhou, China"],"affiliations":[{"raw_affiliation_string":"Machine Learning and Cybernetic Research Center, School of Computer Science and Engineering, South China University of Technology, Guangzhou, China","institution_ids":["https://openalex.org/I90610280"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5105759393"],"corresponding_institution_ids":["https://openalex.org/I90610280"],"apc_list":null,"apc_paid":null,"fwci":0.5151,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.7132023,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":94,"max":96},"biblio":{"volume":"2","issue":null,"first_page":"1825","last_page":"1831"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10331","display_name":"Video Surveillance and Tracking Methods","score":1.0,"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":1.0,"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/T10531","display_name":"Advanced Vision and Imaging","score":0.9925000071525574,"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/T10812","display_name":"Human Pose and Action Recognition","score":0.9904000163078308,"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/video-tracking","display_name":"Video tracking","score":0.80869460105896},{"id":"https://openalex.org/keywords/background-subtraction","display_name":"Background subtraction","score":0.7802655696868896},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.775066077709198},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.7748278975486755},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.6821787357330322},{"id":"https://openalex.org/keywords/generalization","display_name":"Generalization","score":0.6258209347724915},{"id":"https://openalex.org/keywords/tracking","display_name":"Tracking (education)","score":0.5947195291519165},{"id":"https://openalex.org/keywords/mean-shift","display_name":"Mean-shift","score":0.5247452259063721},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.48545342683792114},{"id":"https://openalex.org/keywords/object","display_name":"Object (grammar)","score":0.4756987988948822},{"id":"https://openalex.org/keywords/search-engine-indexing","display_name":"Search engine indexing","score":0.4632747173309326},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.46080613136291504},{"id":"https://openalex.org/keywords/object-detection","display_name":"Object detection","score":0.43139564990997314},{"id":"https://openalex.org/keywords/pixel","display_name":"Pixel","score":0.16135981678962708},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.10662570595741272}],"concepts":[{"id":"https://openalex.org/C202474056","wikidata":"https://www.wikidata.org/wiki/Q1931635","display_name":"Video tracking","level":3,"score":0.80869460105896},{"id":"https://openalex.org/C32653426","wikidata":"https://www.wikidata.org/wiki/Q3813641","display_name":"Background subtraction","level":3,"score":0.7802655696868896},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.775066077709198},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7748278975486755},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.6821787357330322},{"id":"https://openalex.org/C177148314","wikidata":"https://www.wikidata.org/wiki/Q170084","display_name":"Generalization","level":2,"score":0.6258209347724915},{"id":"https://openalex.org/C2775936607","wikidata":"https://www.wikidata.org/wiki/Q466845","display_name":"Tracking (education)","level":2,"score":0.5947195291519165},{"id":"https://openalex.org/C48548287","wikidata":"https://www.wikidata.org/wiki/Q6803557","display_name":"Mean-shift","level":3,"score":0.5247452259063721},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.48545342683792114},{"id":"https://openalex.org/C2781238097","wikidata":"https://www.wikidata.org/wiki/Q175026","display_name":"Object (grammar)","level":2,"score":0.4756987988948822},{"id":"https://openalex.org/C75165309","wikidata":"https://www.wikidata.org/wiki/Q2258979","display_name":"Search engine indexing","level":2,"score":0.4632747173309326},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.46080613136291504},{"id":"https://openalex.org/C2776151529","wikidata":"https://www.wikidata.org/wiki/Q3045304","display_name":"Object detection","level":3,"score":0.43139564990997314},{"id":"https://openalex.org/C160633673","wikidata":"https://www.wikidata.org/wiki/Q355198","display_name":"Pixel","level":2,"score":0.16135981678962708},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.10662570595741272},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.0},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.0},{"id":"https://openalex.org/C19417346","wikidata":"https://www.wikidata.org/wiki/Q7922","display_name":"Pedagogy","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icmlc.2011.6017033","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icmlc.2011.6017033","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2011 International Conference on Machine Learning and Cybernetics","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320335787","display_name":"Fundamental Research Funds for the Central Universities","ror":null}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":30,"referenced_works":["https://openalex.org/W1485800236","https://openalex.org/W1496044074","https://openalex.org/W1523991265","https://openalex.org/W1616983488","https://openalex.org/W1687797484","https://openalex.org/W1693345094","https://openalex.org/W1854505609","https://openalex.org/W1986733754","https://openalex.org/W1991366868","https://openalex.org/W2035116104","https://openalex.org/W2072595688","https://openalex.org/W2087687130","https://openalex.org/W2102625004","https://openalex.org/W2117490925","https://openalex.org/W2118572719","https://openalex.org/W2128768415","https://openalex.org/W2133716807","https://openalex.org/W2139593995","https://openalex.org/W2140235142","https://openalex.org/W2152473410","https://openalex.org/W2153754923","https://openalex.org/W2164500538","https://openalex.org/W2167353010","https://openalex.org/W2171604354","https://openalex.org/W6629479228","https://openalex.org/W6631446140","https://openalex.org/W6636507665","https://openalex.org/W6637369054","https://openalex.org/W6638896959","https://openalex.org/W6677497744"],"related_works":["https://openalex.org/W2535097663","https://openalex.org/W1987287817","https://openalex.org/W2123129869","https://openalex.org/W3031536623","https://openalex.org/W1487824918","https://openalex.org/W3094443322","https://openalex.org/W2615278000","https://openalex.org/W2386156666","https://openalex.org/W2349207614","https://openalex.org/W2335246570"],"abstract_inverted_index":{"Objects":[0],"in":[1,29,74],"video":[2,12,15,30],"are":[3],"high":[4,72],"level":[5],"features":[6],"which":[7],"provide":[8],"plenteous":[9],"information":[10],"for":[11],"analysis":[13],"like":[14],"indexing,":[16],"retrieval":[17],"and":[18,43,59,77],"understanding.":[19],"In":[20],"this":[21],"paper,":[22],"a":[23,71],"new":[24],"method":[25,69],"of":[26],"multi-object":[27],"tracking":[28,76],"has":[31],"been":[32],"proposed":[33,68],"by":[34,52],"combining":[35],"Gaussian":[36],"background":[37],"modeling,":[38],"Background":[39],"subtraction,":[40],"mean-shift":[41],"algorithm":[42],"used":[44],"Radial":[45],"Basis":[46],"Function":[47],"Neural":[48],"Network":[49],"(RBFNN)":[50],"optimized":[51],"the":[53,67],"Localized":[54],"Generalization":[55],"Error":[56],"to":[57],"recognize":[58],"classify":[60],"object":[61,75],"candidates.":[62],"Experimental":[63],"results":[64],"demonstrate":[65],"that":[66],"yields":[70],"accuracy":[73],"less":[78],"false":[79],"tracking.":[80]},"counts_by_year":[{"year":2012,"cited_by_count":2}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
