{"id":"https://openalex.org/W2046242814","doi":"https://doi.org/10.1109/iccais.2014.7020551","title":"Background scene modeling for PTZ cameras using RBM","display_name":"Background scene modeling for PTZ cameras using RBM","publication_year":2014,"publication_date":"2014-12-01","ids":{"openalex":"https://openalex.org/W2046242814","doi":"https://doi.org/10.1109/iccais.2014.7020551","mag":"2046242814"},"language":"en","primary_location":{"id":"doi:10.1109/iccais.2014.7020551","is_oa":false,"landing_page_url":"https://doi.org/10.1109/iccais.2014.7020551","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"The 2014 International Conference on Control, Automation and Information Sciences (ICCAIS 2014)","raw_type":"proceedings-article"},"type":"conference-paper","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/A5072956540","display_name":"Aasim Rafique","orcid":null},"institutions":[{"id":"https://openalex.org/I39534123","display_name":"Gwangju Institute of Science and Technology","ror":"https://ror.org/024kbgz78","country_code":"KR","type":"education","lineage":["https://openalex.org/I39534123"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Aasim Rafique","raw_affiliation_strings":["School of Information and Communications, GIST, Gwangju, Republic of Korea"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Information and Communications, GIST, Gwangju, Republic of Korea","institution_ids":["https://openalex.org/I39534123"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5016962143","display_name":"Ahmad Muqeem Sheri","orcid":"https://orcid.org/0000-0001-9969-6850"},"institutions":[{"id":"https://openalex.org/I39534123","display_name":"Gwangju Institute of Science and Technology","ror":"https://ror.org/024kbgz78","country_code":"KR","type":"education","lineage":["https://openalex.org/I39534123"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Ahmad Muqeem Sheri","raw_affiliation_strings":["School of Information and Communications, GIST, Gwangju, Republic of Korea"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Information and Communications, GIST, Gwangju, Republic of Korea","institution_ids":["https://openalex.org/I39534123"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5056743652","display_name":"Moongu Jeon","orcid":"https://orcid.org/0000-0002-2775-7789"},"institutions":[{"id":"https://openalex.org/I39534123","display_name":"Gwangju Institute of Science and Technology","ror":"https://ror.org/024kbgz78","country_code":"KR","type":"education","lineage":["https://openalex.org/I39534123"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Moongu Jeon","raw_affiliation_strings":["School of Information and Communications, GIST, Gwangju, Republic of Korea"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Information and Communications, GIST, Gwangju, Republic of Korea","institution_ids":["https://openalex.org/I39534123"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I39534123"],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":7,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"165","last_page":"169"},"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/T11019","display_name":"Image Enhancement Techniques","score":0.9987000226974487,"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/T10775","display_name":"Generative Adversarial Networks and Image Synthesis","score":0.9976000189781189,"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/background-subtraction","display_name":"Background subtraction","score":0.940636157989502},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.8061391115188599},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7869898080825806},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.6757693886756897},{"id":"https://openalex.org/keywords/restricted-boltzmann-machine","display_name":"Restricted Boltzmann machine","score":0.6212970018386841},{"id":"https://openalex.org/keywords/generative-model","display_name":"Generative model","score":0.541390597820282},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.5234719514846802},{"id":"https://openalex.org/keywords/object","display_name":"Object (grammar)","score":0.5037094950675964},{"id":"https://openalex.org/keywords/foreground-detection","display_name":"Foreground detection","score":0.47440099716186523},{"id":"https://openalex.org/keywords/parametric-model","display_name":"Parametric model","score":0.473460853099823},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.46849164366722107},{"id":"https://openalex.org/keywords/zoom","display_name":"Zoom","score":0.4684004485607147},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.4564017355442047},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.44306498765945435},{"id":"https://openalex.org/keywords/parametric-statistics","display_name":"Parametric statistics","score":0.38182467222213745},{"id":"https://openalex.org/keywords/generative-grammar","display_name":"Generative grammar","score":0.34950023889541626},{"id":"https://openalex.org/keywords/pixel","display_name":"Pixel","score":0.16194167733192444},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.07414758205413818}],"concepts":[{"id":"https://openalex.org/C32653426","wikidata":"https://www.wikidata.org/wiki/Q3813641","display_name":"Background subtraction","level":3,"score":0.940636157989502},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.8061391115188599},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7869898080825806},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.6757693886756897},{"id":"https://openalex.org/C199354608","wikidata":"https://www.wikidata.org/wiki/Q7316287","display_name":"Restricted Boltzmann machine","level":3,"score":0.6212970018386841},{"id":"https://openalex.org/C167966045","wikidata":"https://www.wikidata.org/wiki/Q5532625","display_name":"Generative model","level":3,"score":0.541390597820282},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.5234719514846802},{"id":"https://openalex.org/C2781238097","wikidata":"https://www.wikidata.org/wiki/Q175026","display_name":"Object (grammar)","level":2,"score":0.5037094950675964},{"id":"https://openalex.org/C2779769447","wikidata":"https://www.wikidata.org/wiki/Q3813641","display_name":"Foreground detection","level":4,"score":0.47440099716186523},{"id":"https://openalex.org/C24574437","wikidata":"https://www.wikidata.org/wiki/Q7135228","display_name":"Parametric model","level":3,"score":0.473460853099823},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.46849164366722107},{"id":"https://openalex.org/C124913957","wikidata":"https://www.wikidata.org/wiki/Q1232548","display_name":"Zoom","level":3,"score":0.4684004485607147},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.4564017355442047},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.44306498765945435},{"id":"https://openalex.org/C117251300","wikidata":"https://www.wikidata.org/wiki/Q1849855","display_name":"Parametric statistics","level":2,"score":0.38182467222213745},{"id":"https://openalex.org/C39890363","wikidata":"https://www.wikidata.org/wiki/Q36108","display_name":"Generative grammar","level":2,"score":0.34950023889541626},{"id":"https://openalex.org/C160633673","wikidata":"https://www.wikidata.org/wiki/Q355198","display_name":"Pixel","level":2,"score":0.16194167733192444},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.07414758205413818},{"id":"https://openalex.org/C15336307","wikidata":"https://www.wikidata.org/wiki/Q1766051","display_name":"Lens (geology)","level":2,"score":0.0},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","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},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.0},{"id":"https://openalex.org/C78762247","wikidata":"https://www.wikidata.org/wiki/Q1273174","display_name":"Petroleum engineering","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/iccais.2014.7020551","is_oa":false,"landing_page_url":"https://doi.org/10.1109/iccais.2014.7020551","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"The 2014 International Conference on Control, Automation and Information Sciences (ICCAIS 2014)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":21,"referenced_works":["https://openalex.org/W45387216","https://openalex.org/W82327102","https://openalex.org/W1481797078","https://openalex.org/W1533861849","https://openalex.org/W2035866593","https://openalex.org/W2052524720","https://openalex.org/W2069057506","https://openalex.org/W2081391267","https://openalex.org/W2101399927","https://openalex.org/W2102625004","https://openalex.org/W2115352131","https://openalex.org/W2115700099","https://openalex.org/W2116064496","https://openalex.org/W2124130551","https://openalex.org/W2141572457","https://openalex.org/W2148290050","https://openalex.org/W2157565459","https://openalex.org/W2158604775","https://openalex.org/W2166978545","https://openalex.org/W6631943919","https://openalex.org/W6663637251"],"related_works":["https://openalex.org/W2105103921","https://openalex.org/W1999137714","https://openalex.org/W2953123162","https://openalex.org/W2086414697","https://openalex.org/W2188430267","https://openalex.org/W4298195641","https://openalex.org/W2110416663","https://openalex.org/W3010714307","https://openalex.org/W2355776095","https://openalex.org/W1973030300"],"abstract_inverted_index":{"Background":[0],"subtraction":[1,32],"is":[2],"primarily":[3],"used":[4],"as":[5],"feature":[6],"extraction":[7],"and":[8,74],"modeling":[9,67,86],"in":[10],"video":[11],"analysis.":[12],"Pan-tilt-zoom":[13],"cameras,":[14],"with":[15],"their":[16],"adjuvant":[17],"capacity":[18],"to":[19,25,38,52],"capture":[20],"the":[21,35,40,54,57,82],"videos,":[22],"add":[23],"complexities":[24],"background":[26,31,36,76],"model.":[27],"Conventional":[28],"techniques":[29],"for":[30],"rely":[33],"on":[34],"model":[37,53],"extract":[39],"foreground":[41],"object.":[42],"In":[43],"this":[44],"work,":[45],"we":[46],"investigated":[47],"restricted":[48],"Boltzmann":[49],"machine":[50],"(RBM)":[51],"structure":[55,87],"of":[56,69,85,88],"scene":[58],"from":[59],"videos":[60],"captured":[61],"by":[62],"PTZ":[63],"cameras.":[64],"The":[65],"generative":[66],"paradigm":[68],"RBM":[70],"gives":[71],"an":[72],"extensive":[73],"non-parametric":[75],"learning":[77],"framework.":[78],"Experimentation":[79],"results":[80],"demonstrate":[81],"manifest":[83],"ability":[84],"various":[89],"scenes":[90],"using":[91],"RBM.":[92]},"counts_by_year":[{"year":2022,"cited_by_count":1},{"year":2021,"cited_by_count":1},{"year":2019,"cited_by_count":1},{"year":2018,"cited_by_count":1},{"year":2017,"cited_by_count":1},{"year":2016,"cited_by_count":2}],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}
