{"id":"https://openalex.org/W2334835543","doi":"https://doi.org/10.1109/tcsvt.2016.2539540","title":"Complex Video Scene Analysis Using Kernelized-Collaborative Behavior Pattern Learning Based on Hierarchical Representative Object Behaviors","display_name":"Complex Video Scene Analysis Using Kernelized-Collaborative Behavior Pattern Learning Based on Hierarchical Representative Object Behaviors","publication_year":2016,"publication_date":"2016-03-08","ids":{"openalex":"https://openalex.org/W2334835543","doi":"https://doi.org/10.1109/tcsvt.2016.2539540","mag":"2334835543"},"language":"en","primary_location":{"id":"doi:10.1109/tcsvt.2016.2539540","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tcsvt.2016.2539540","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":false,"oa_status":"closed","oa_url":null,"any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5101574119","display_name":"Sanghyuk Park","orcid":"https://orcid.org/0000-0003-4511-7280"},"institutions":[{"id":"https://openalex.org/I157485424","display_name":"Korea Advanced Institute of Science and Technology","ror":"https://ror.org/05apxxy63","country_code":"KR","type":"education","lineage":["https://openalex.org/I157485424"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Sanghyuk Park","raw_affiliation_strings":["School of Electrical Engineering under the bk21plus program, Korea Advanced Institute of Science and Technology, Daejeon, South Korea"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Electrical Engineering under the bk21plus program, Korea Advanced Institute of Science and Technology, Daejeon, South Korea","institution_ids":["https://openalex.org/I157485424"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5010227336","display_name":"Hyunsin Park","orcid":"https://orcid.org/0000-0003-3556-5792"},"institutions":[{"id":"https://openalex.org/I157485424","display_name":"Korea Advanced Institute of Science and Technology","ror":"https://ror.org/05apxxy63","country_code":"KR","type":"education","lineage":["https://openalex.org/I157485424"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Hyunsin Park","raw_affiliation_strings":["School of Electrical Engineering under the bk21plus program, Korea Advanced Institute of Science and Technology, Daejeon, South Korea"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Electrical Engineering under the bk21plus program, Korea Advanced Institute of Science and Technology, Daejeon, South Korea","institution_ids":["https://openalex.org/I157485424"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5073287748","display_name":"Chang D. Yoo","orcid":"https://orcid.org/0000-0002-0756-7179"},"institutions":[{"id":"https://openalex.org/I157485424","display_name":"Korea Advanced Institute of Science and Technology","ror":"https://ror.org/05apxxy63","country_code":"KR","type":"education","lineage":["https://openalex.org/I157485424"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Chang D. Yoo","raw_affiliation_strings":["School of Electrical Engineering under the bk21plus program, Korea Advanced Institute of Science and Technology, Daejeon, South Korea"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Electrical Engineering under the bk21plus program, Korea Advanced Institute of Science and Technology, Daejeon, South Korea","institution_ids":["https://openalex.org/I157485424"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.6761,"has_fulltext":false,"cited_by_count":4,"citation_normalized_percentile":{"value":0.76354331,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":97},"biblio":{"volume":"27","issue":"6","first_page":"1275","last_page":"1289"},"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/T10812","display_name":"Human Pose and Action Recognition","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/T11512","display_name":"Anomaly Detection Techniques and Applications","score":0.9994999766349792,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"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":0.7053564786911011},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6576820611953735},{"id":"https://openalex.org/keywords/kernel","display_name":"Kernel (algebra)","score":0.5432459115982056},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.5149908661842346},{"id":"https://openalex.org/keywords/image-segmentation","display_name":"Image segmentation","score":0.4347497820854187},{"id":"https://openalex.org/keywords/segmentation","display_name":"Segmentation","score":0.4331130385398865},{"id":"https://openalex.org/keywords/key","display_name":"Key (lock)","score":0.4255763292312622},{"id":"https://openalex.org/keywords/scale","display_name":"Scale (ratio)","score":0.4236438572406769},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.42115330696105957},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.16615471243858337}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7053564786911011},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6576820611953735},{"id":"https://openalex.org/C74193536","wikidata":"https://www.wikidata.org/wiki/Q574844","display_name":"Kernel (algebra)","level":2,"score":0.5432459115982056},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5149908661842346},{"id":"https://openalex.org/C124504099","wikidata":"https://www.wikidata.org/wiki/Q56933","display_name":"Image segmentation","level":3,"score":0.4347497820854187},{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.4331130385398865},{"id":"https://openalex.org/C26517878","wikidata":"https://www.wikidata.org/wiki/Q228039","display_name":"Key (lock)","level":2,"score":0.4255763292312622},{"id":"https://openalex.org/C2778755073","wikidata":"https://www.wikidata.org/wiki/Q10858537","display_name":"Scale (ratio)","level":2,"score":0.4236438572406769},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.42115330696105957},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.16615471243858337},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","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/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0},{"id":"https://openalex.org/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/tcsvt.2016.2539540","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tcsvt.2016.2539540","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"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G1489679425","display_name":null,"funder_award_id":"2011-0017202","funder_id":"https://openalex.org/F4320322120","funder_display_name":"National Research Foundation of Korea"},{"id":"https://openalex.org/G2385568365","display_name":null,"funder_award_id":"2010-0028680","funder_id":"https://openalex.org/F4320322120","funder_display_name":"National Research Foundation of Korea"}],"funders":[{"id":"https://openalex.org/F4320322120","display_name":"National Research Foundation of Korea","ror":"https://ror.org/013aysd81"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":37,"referenced_works":["https://openalex.org/W87092222","https://openalex.org/W191369489","https://openalex.org/W1484830317","https://openalex.org/W1595717062","https://openalex.org/W1598578845","https://openalex.org/W1967306940","https://openalex.org/W1968362113","https://openalex.org/W1993229407","https://openalex.org/W2006262236","https://openalex.org/W2014208121","https://openalex.org/W2015096912","https://openalex.org/W2019993792","https://openalex.org/W2020163092","https://openalex.org/W2062420161","https://openalex.org/W2067467244","https://openalex.org/W2105604990","https://openalex.org/W2109389234","https://openalex.org/W2111918405","https://openalex.org/W2112680570","https://openalex.org/W2118439990","https://openalex.org/W2122075562","https://openalex.org/W2127218421","https://openalex.org/W2127893047","https://openalex.org/W2136888950","https://openalex.org/W2142194269","https://openalex.org/W2143668817","https://openalex.org/W2145508099","https://openalex.org/W2153233077","https://openalex.org/W2156503960","https://openalex.org/W2161969291","https://openalex.org/W2163380389","https://openalex.org/W2241087971","https://openalex.org/W2533619109","https://openalex.org/W2539222059","https://openalex.org/W6635559185","https://openalex.org/W6635755983","https://openalex.org/W6678914141"],"related_works":["https://openalex.org/W2140798747","https://openalex.org/W2948169060","https://openalex.org/W2730112582","https://openalex.org/W2110696645","https://openalex.org/W2358580169","https://openalex.org/W4379231730","https://openalex.org/W2111347279","https://openalex.org/W2487211728","https://openalex.org/W2378096925","https://openalex.org/W1522196789"],"abstract_inverted_index":{"This":[0,81],"paper":[1],"considers":[2],"an":[3,29],"unsupervised":[4],"learning":[5],"algorithm":[6,95,115],"that":[7,112],"can":[8],"automatically":[9],"discover":[10],"key":[11],"behavior":[12,21],"patterns":[13],"to":[14,34,69,89],"characterize":[15],"a":[16,42,50,117],"complex":[17],"video":[18,106,129],"scene.":[19],"For":[20],"features":[22,64],"(bFs)":[23],"extracted":[24,65],"at":[25],"multiple":[26],"spatial-temporal":[27],"scales,":[28],"optimization":[30,82],"problem":[31,83],"is":[32,84,96],"formulated":[33],"cluster":[35],"bFs":[36,56],"in":[37,46,66,75,126],"their":[38],"scales":[39],"while":[40],"establishing":[41],"collaborative":[43],"nonlinear":[44],"relationship":[45,62],"the":[47,76,113,122],"form":[48],"of":[49,78,128],"kernel":[51],"regression":[52],"function":[53],"among":[54],"clustered":[55],"across":[57],"different":[58],"spatial":[59],"scales.":[60],"The":[61,93],"allows":[63],"one":[67],"scale":[68],"be":[70],"considered":[71],"as":[72],"contextual":[73],"information":[74],"analysis":[77],"another":[79],"scale.":[80],"solved":[85],"using":[86],"linear":[87],"programming":[88],"reduce":[90],"computational":[91],"complexity.":[92],"proposed":[94,114],"evaluated":[97],"on":[98],"four":[99],"crowded":[100],"traffic":[101],"scenes":[102],"and":[103],"two":[104],"sports":[105],"data":[107],"sets.":[108],"Experimental":[109],"results":[110],"show":[111],"achieves":[116],"better":[118],"performance":[119],"compared":[120],"with":[121],"current":[123],"state-of-the-art":[124],"algorithms":[125],"terms":[127],"segmentation":[130],"accuracy.":[131]},"counts_by_year":[{"year":2019,"cited_by_count":3},{"year":2018,"cited_by_count":1}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}
