{"id":"https://openalex.org/W2164630676","doi":"https://doi.org/10.1109/tcsvt.2011.2105591","title":"Kernel Similarity Modeling of Texture Pattern Flow for Motion Detection in Complex Background","display_name":"Kernel Similarity Modeling of Texture Pattern Flow for Motion Detection in Complex Background","publication_year":2011,"publication_date":"2011-01-01","ids":{"openalex":"https://openalex.org/W2164630676","doi":"https://doi.org/10.1109/tcsvt.2011.2105591","mag":"2164630676"},"language":"en","primary_location":{"id":"doi:10.1109/tcsvt.2011.2105591","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tcsvt.2011.2105591","pdf_url":null,"source":{"id":"https://openalex.org/S115173108","display_name":"IEEE Transactions on Circuits and Systems for Video Technology","issn_l":"1051-8215","issn":["1051-8215","1558-2205"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Circuits and Systems for Video Technology","raw_type":"journal-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"http://hdl.handle.net/10072/40128","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5015525872","display_name":"Baochang Zhang","orcid":"https://orcid.org/0000-0001-7396-6218"},"institutions":[{"id":"https://openalex.org/I82880672","display_name":"Beihang University","ror":"https://ror.org/00wk2mp56","country_code":"CN","type":"education","lineage":["https://openalex.org/I82880672"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Baochang Zhang","raw_affiliation_strings":["National Key Laboratory of Science and Technology on Integrated Control Technology, School of Automation Science and Electrical Engineering, Beihang University, Beijing, China"],"affiliations":[{"raw_affiliation_string":"National Key Laboratory of Science and Technology on Integrated Control Technology, School of Automation Science and Electrical Engineering, Beihang University, Beijing, China","institution_ids":["https://openalex.org/I82880672"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5071549690","display_name":"Yongsheng Gao","orcid":"https://orcid.org/0000-0002-5382-5351"},"institutions":[{"id":"https://openalex.org/I11701301","display_name":"Griffith University","ror":"https://ror.org/02sc3r913","country_code":"AU","type":"education","lineage":["https://openalex.org/I11701301"]},{"id":"https://openalex.org/I42894916","display_name":"Data61","ror":"https://ror.org/03q397159","country_code":"AU","type":"other","lineage":["https://openalex.org/I1292875679","https://openalex.org/I2801453606","https://openalex.org/I42894916","https://openalex.org/I4387156119"]}],"countries":["AU"],"is_corresponding":false,"raw_author_name":"Yongsheng Gao","raw_affiliation_strings":["Griffith School of Engineering, Griffith University, Brisbane, QLD, Australia","Queensland Research Laboratory, NICTA, Brisbane, QLD, Australia"],"affiliations":[{"raw_affiliation_string":"Griffith School of Engineering, Griffith University, Brisbane, QLD, Australia","institution_ids":["https://openalex.org/I11701301"]},{"raw_affiliation_string":"Queensland Research Laboratory, NICTA, Brisbane, QLD, Australia","institution_ids":["https://openalex.org/I42894916"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5031618209","display_name":"Sanqiang Zhao","orcid":null},"institutions":[{"id":"https://openalex.org/I42894916","display_name":"Data61","ror":"https://ror.org/03q397159","country_code":"AU","type":"other","lineage":["https://openalex.org/I1292875679","https://openalex.org/I2801453606","https://openalex.org/I42894916","https://openalex.org/I4387156119"]},{"id":"https://openalex.org/I11701301","display_name":"Griffith University","ror":"https://ror.org/02sc3r913","country_code":"AU","type":"education","lineage":["https://openalex.org/I11701301"]}],"countries":["AU"],"is_corresponding":false,"raw_author_name":"Sanqiang Zhao","raw_affiliation_strings":["Griffith School of Engineering, Griffith University, Brisbane, QLD, Australia","Queensland Research Laboratory, NICTA, Brisbane, QLD, Australia"],"affiliations":[{"raw_affiliation_string":"Griffith School of Engineering, Griffith University, Brisbane, QLD, Australia","institution_ids":["https://openalex.org/I11701301"]},{"raw_affiliation_string":"Queensland Research Laboratory, NICTA, Brisbane, QLD, Australia","institution_ids":["https://openalex.org/I42894916"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5058101262","display_name":"Bineng Zhong","orcid":"https://orcid.org/0000-0003-3423-1539"},"institutions":[{"id":"https://openalex.org/I4210161462","display_name":"Heilongjiang Institute of Technology","ror":"https://ror.org/05x0m9n95","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210161462"]},{"id":"https://openalex.org/I204983213","display_name":"Harbin Institute of Technology","ror":"https://ror.org/01yqg2h08","country_code":"CN","type":"education","lineage":["https://openalex.org/I204983213"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Bineng Zhong","raw_affiliation_strings":["Department of Computer Science and Engineering, Harbin Institute of Technology, Harbin, Heilongjiang, China"],"affiliations":[{"raw_affiliation_string":"Department of Computer Science and Engineering, Harbin Institute of Technology, Harbin, Heilongjiang, China","institution_ids":["https://openalex.org/I4210161462","https://openalex.org/I204983213"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5015525872"],"corresponding_institution_ids":["https://openalex.org/I82880672"],"apc_list":null,"apc_paid":null,"fwci":2.3543,"has_fulltext":true,"cited_by_count":33,"citation_normalized_percentile":{"value":0.9106841,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":89,"max":99},"biblio":{"volume":"21","issue":"1","first_page":"29","last_page":"38"},"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/T11439","display_name":"Video Analysis and Summarization","score":0.9986000061035156,"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/T10627","display_name":"Advanced Image and Video Retrieval Techniques","score":0.9896000027656555,"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/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.746694803237915},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.7400646805763245},{"id":"https://openalex.org/keywords/histogram","display_name":"Histogram","score":0.647466778755188},{"id":"https://openalex.org/keywords/kernel","display_name":"Kernel (algebra)","score":0.6448892951011658},{"id":"https://openalex.org/keywords/discriminative-model","display_name":"Discriminative model","score":0.628386914730072},{"id":"https://openalex.org/keywords/local-binary-patterns","display_name":"Local binary patterns","score":0.5914206504821777},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5871756076812744},{"id":"https://openalex.org/keywords/similarity","display_name":"Similarity (geometry)","score":0.5294625163078308},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.48626434803009033},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.46174198389053345},{"id":"https://openalex.org/keywords/optical-flow","display_name":"Optical flow","score":0.4556770920753479},{"id":"https://openalex.org/keywords/motion-detection","display_name":"Motion detection","score":0.45090359449386597},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.4107244610786438},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.3643644452095032},{"id":"https://openalex.org/keywords/motion","display_name":"Motion (physics)","score":0.2786411643028259},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.15274953842163086}],"concepts":[{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.746694803237915},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7400646805763245},{"id":"https://openalex.org/C53533937","wikidata":"https://www.wikidata.org/wiki/Q185020","display_name":"Histogram","level":3,"score":0.647466778755188},{"id":"https://openalex.org/C74193536","wikidata":"https://www.wikidata.org/wiki/Q574844","display_name":"Kernel (algebra)","level":2,"score":0.6448892951011658},{"id":"https://openalex.org/C97931131","wikidata":"https://www.wikidata.org/wiki/Q5282087","display_name":"Discriminative model","level":2,"score":0.628386914730072},{"id":"https://openalex.org/C87335442","wikidata":"https://www.wikidata.org/wiki/Q2494345","display_name":"Local binary patterns","level":4,"score":0.5914206504821777},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5871756076812744},{"id":"https://openalex.org/C103278499","wikidata":"https://www.wikidata.org/wiki/Q254465","display_name":"Similarity (geometry)","level":3,"score":0.5294625163078308},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.48626434803009033},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.46174198389053345},{"id":"https://openalex.org/C155542232","wikidata":"https://www.wikidata.org/wiki/Q736111","display_name":"Optical flow","level":3,"score":0.4556770920753479},{"id":"https://openalex.org/C2780624872","wikidata":"https://www.wikidata.org/wiki/Q852453","display_name":"Motion detection","level":3,"score":0.45090359449386597},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.4107244610786438},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.3643644452095032},{"id":"https://openalex.org/C104114177","wikidata":"https://www.wikidata.org/wiki/Q79782","display_name":"Motion (physics)","level":2,"score":0.2786411643028259},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.15274953842163086},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C114614502","wikidata":"https://www.wikidata.org/wiki/Q76592","display_name":"Combinatorics","level":1,"score":0.0},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0}],"mesh":[],"locations_count":3,"locations":[{"id":"doi:10.1109/tcsvt.2011.2105591","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tcsvt.2011.2105591","pdf_url":null,"source":{"id":"https://openalex.org/S115173108","display_name":"IEEE Transactions on Circuits and Systems for Video Technology","issn_l":"1051-8215","issn":["1051-8215","1558-2205"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Circuits and Systems for Video Technology","raw_type":"journal-article"},{"id":"pmh:oai:research-repository.griffith.edu.au:10072/40128","is_oa":true,"landing_page_url":"http://hdl.handle.net/10072/40128","pdf_url":"http://hdl.handle.net/10072/40128","source":{"id":"https://openalex.org/S4306402548","display_name":"Griffith Research Online (Griffith University, Queensland, Australia)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I11701301","host_organization_name":"Griffith University","host_organization_lineage":["https://openalex.org/I11701301"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"Journal article"},{"id":"pmh:oai:CiteSeerX.psu:10.1.1.982.1068","is_oa":false,"landing_page_url":"http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.982.1068","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"http://www98.griffith.edu.au/dspace/bitstream/handle/10072/40128/68767_1.pdf%3Bjsessionid%3D9F0EC8A0BC9DF3E70420C7E701378F68?sequence%3D1","raw_type":"text"}],"best_oa_location":{"id":"pmh:oai:research-repository.griffith.edu.au:10072/40128","is_oa":true,"landing_page_url":"http://hdl.handle.net/10072/40128","pdf_url":"http://hdl.handle.net/10072/40128","source":{"id":"https://openalex.org/S4306402548","display_name":"Griffith Research Online (Griffith University, Queensland, Australia)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I11701301","host_organization_name":"Griffith University","host_organization_lineage":["https://openalex.org/I11701301"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"Journal article"},"sustainable_development_goals":[{"score":0.7699999809265137,"display_name":"Reduced inequalities","id":"https://metadata.un.org/sdg/10"}],"awards":[],"funders":[],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W2164630676.pdf","grobid_xml":"https://content.openalex.org/works/W2164630676.grobid-xml"},"referenced_works_count":21,"referenced_works":["https://openalex.org/W1515999713","https://openalex.org/W1976566382","https://openalex.org/W1993655741","https://openalex.org/W2034630211","https://openalex.org/W2035866593","https://openalex.org/W2039051707","https://openalex.org/W2056128010","https://openalex.org/W2096343094","https://openalex.org/W2098305432","https://openalex.org/W2102625004","https://openalex.org/W2118143383","https://openalex.org/W2122423951","https://openalex.org/W2127499550","https://openalex.org/W2139916508","https://openalex.org/W2140235142","https://openalex.org/W2143373691","https://openalex.org/W2148290050","https://openalex.org/W2149077040","https://openalex.org/W2163352848","https://openalex.org/W2166978545","https://openalex.org/W6678962964"],"related_works":["https://openalex.org/W1990254706","https://openalex.org/W1972656095","https://openalex.org/W2147694433","https://openalex.org/W2132633146","https://openalex.org/W2181817726","https://openalex.org/W2285052147","https://openalex.org/W2560749169","https://openalex.org/W4309721969","https://openalex.org/W1966028303","https://openalex.org/W2550539038"],"abstract_inverted_index":{"This":[0],"paper":[1],"proposes":[2],"a":[3,116],"novel":[4],"kernel":[5,74],"similarity":[6,75],"modeling":[7,15,76,140],"of":[8,42,97],"texture":[9,25,43],"pattern":[10,26,31,44],"flow":[11,27,45],"(KSM-TPF)":[12],"for":[13,70,84,138],"background":[14,139],"and":[16,21,36,95,135,141],"motion":[17,63,142],"detection":[18,64],"in":[19,33,115],"complex":[20,85],"dynamic":[22],"environments.":[23],"The":[24,39,87,103],"encodes":[28],"the":[29,50,54,73,93,122,129],"binary":[30],"changes":[32],"both":[34],"spatial":[35],"temporal":[37],"neighborhoods.":[38],"integral":[40],"histogram":[41],"is":[46,77,90],"employed":[47],"to":[48,79],"extract":[49],"discriminative":[51],"features":[52],"from":[53,58,92],"input":[55],"videos.":[56],"Different":[57],"existing":[59],"uniform":[60],"threshold":[61,83,89],"based":[62],"approaches":[65],"which":[66],"are":[67],"only":[68],"effective":[69,134],"simple":[71],"background,":[72],"proposed":[78,104,130],"produce":[80],"an":[81,98,133],"adaptive":[82,88],"background.":[86],"computed":[91],"mean":[94],"variance":[96],"extended":[99],"Gaussian":[100],"mixture":[101],"model.":[102],"KSM-TPF":[105],"approach":[106,131],"incorporates":[107],"machine":[108],"learning":[109],"method":[110,114],"with":[111],"feature":[112],"extraction":[113],"homogenous":[117],"way.":[118],"Experimental":[119],"results":[120],"on":[121],"publicly":[123],"available":[124],"video":[125],"sequences":[126],"demonstrate":[127],"that":[128],"provides":[132],"efficient":[136],"way":[137],"detection.":[143]},"counts_by_year":[{"year":2022,"cited_by_count":1},{"year":2021,"cited_by_count":1},{"year":2020,"cited_by_count":2},{"year":2019,"cited_by_count":2},{"year":2018,"cited_by_count":3},{"year":2016,"cited_by_count":7},{"year":2015,"cited_by_count":8},{"year":2014,"cited_by_count":1},{"year":2013,"cited_by_count":2},{"year":2012,"cited_by_count":4}],"updated_date":"2026-04-05T17:49:38.594831","created_date":"2025-10-10T00:00:00"}
