{"id":"https://openalex.org/W1569600562","doi":"https://doi.org/10.1007/978-3-540-76386-4_72","title":"Robust Foreground Extraction Technique Using Gaussian Family Model and Multiple Thresholds","display_name":"Robust Foreground Extraction Technique Using Gaussian Family Model and Multiple Thresholds","publication_year":2007,"publication_date":"2007-11-13","ids":{"openalex":"https://openalex.org/W1569600562","doi":"https://doi.org/10.1007/978-3-540-76386-4_72","mag":"1569600562"},"language":"en","primary_location":{"id":"doi:10.1007/978-3-540-76386-4_72","is_oa":false,"landing_page_url":"https://doi.org/10.1007/978-3-540-76386-4_72","pdf_url":null,"source":{"id":"https://openalex.org/S106296714","display_name":"Lecture notes in computer science","issn_l":"0302-9743","issn":["0302-9743","1611-3349"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"book series"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Lecture Notes in Computer Science","raw_type":"book-chapter"},"type":"book-chapter","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/A5100668564","display_name":"Hansung Kim","orcid":"https://orcid.org/0000-0003-4907-0491"},"institutions":[],"countries":[],"is_corresponding":true,"raw_author_name":"Hansung Kim","raw_affiliation_strings":["Knowledge Science Lab, ATR, Kyoto, Japan"],"affiliations":[{"raw_affiliation_string":"Knowledge Science Lab, ATR, Kyoto, Japan","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5045105010","display_name":"Ryuuki Sakamoto","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Ryuuki Sakamoto","raw_affiliation_strings":["Knowledge Science Lab, ATR, Kyoto, Japan"],"affiliations":[{"raw_affiliation_string":"Knowledge Science Lab, ATR, Kyoto, Japan","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5020158571","display_name":"Itaru Kitahara","orcid":"https://orcid.org/0000-0002-5186-789X"},"institutions":[{"id":"https://openalex.org/I146399215","display_name":"University of Tsukuba","ror":"https://ror.org/02956yf07","country_code":"JP","type":"education","lineage":["https://openalex.org/I146399215"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Itaru Kitahara","raw_affiliation_strings":["Dept. of Intelligent Interaction Technologies, Univ. of Tsukuba, Japan","Knowledge Science Lab, ATR, Kyoto, Japan"],"affiliations":[{"raw_affiliation_string":"Dept. of Intelligent Interaction Technologies, Univ. of Tsukuba, Japan","institution_ids":["https://openalex.org/I146399215"]},{"raw_affiliation_string":"Knowledge Science Lab, ATR, Kyoto, Japan","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5108384524","display_name":"Tomoji Toriyama","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Tomoji Toriyama","raw_affiliation_strings":["Knowledge Science Lab, ATR, Kyoto, Japan"],"affiliations":[{"raw_affiliation_string":"Knowledge Science Lab, ATR, Kyoto, Japan","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5103573416","display_name":"Kiyoshi Kogure","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Kiyoshi Kogure","raw_affiliation_strings":["Knowledge Science Lab, ATR, Kyoto, Japan"],"affiliations":[{"raw_affiliation_string":"Knowledge Science Lab, ATR, Kyoto, Japan","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5100668564"],"corresponding_institution_ids":[],"apc_list":{"value":5000,"currency":"EUR","value_usd":5392},"apc_paid":null,"fwci":2.3171,"has_fulltext":false,"cited_by_count":42,"citation_normalized_percentile":{"value":0.89093349,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":99},"biblio":{"volume":null,"issue":null,"first_page":"758","last_page":"768"},"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/T10531","display_name":"Advanced Vision and Imaging","score":0.9976999759674072,"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":0.9950000047683716,"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":0.9439630508422852},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.801154375076294},{"id":"https://openalex.org/keywords/silhouette","display_name":"Silhouette","score":0.7804217338562012},{"id":"https://openalex.org/keywords/pixel","display_name":"Pixel","score":0.7370099425315857},{"id":"https://openalex.org/keywords/foreground-detection","display_name":"Foreground detection","score":0.6985859274864197},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.6844010353088379},{"id":"https://openalex.org/keywords/shadow","display_name":"Shadow (psychology)","score":0.6324185132980347},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6067385673522949},{"id":"https://openalex.org/keywords/gaussian","display_name":"Gaussian","score":0.5729929804801941},{"id":"https://openalex.org/keywords/background-image","display_name":"Background image","score":0.5385884046554565},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.497468501329422},{"id":"https://openalex.org/keywords/mixture-model","display_name":"Mixture model","score":0.48238030076026917},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.42506468296051025},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.38775554299354553},{"id":"https://openalex.org/keywords/physics","display_name":"Physics","score":0.0633050799369812}],"concepts":[{"id":"https://openalex.org/C32653426","wikidata":"https://www.wikidata.org/wiki/Q3813641","display_name":"Background subtraction","level":3,"score":0.9439630508422852},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.801154375076294},{"id":"https://openalex.org/C58103923","wikidata":"https://www.wikidata.org/wiki/Q2286025","display_name":"Silhouette","level":2,"score":0.7804217338562012},{"id":"https://openalex.org/C160633673","wikidata":"https://www.wikidata.org/wiki/Q355198","display_name":"Pixel","level":2,"score":0.7370099425315857},{"id":"https://openalex.org/C2779769447","wikidata":"https://www.wikidata.org/wiki/Q3813641","display_name":"Foreground detection","level":4,"score":0.6985859274864197},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.6844010353088379},{"id":"https://openalex.org/C117797892","wikidata":"https://www.wikidata.org/wiki/Q286363","display_name":"Shadow (psychology)","level":2,"score":0.6324185132980347},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6067385673522949},{"id":"https://openalex.org/C163716315","wikidata":"https://www.wikidata.org/wiki/Q901177","display_name":"Gaussian","level":2,"score":0.5729929804801941},{"id":"https://openalex.org/C3019635856","wikidata":"https://www.wikidata.org/wiki/Q1619726","display_name":"Background image","level":3,"score":0.5385884046554565},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.497468501329422},{"id":"https://openalex.org/C61224824","wikidata":"https://www.wikidata.org/wiki/Q2260434","display_name":"Mixture model","level":2,"score":0.48238030076026917},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.42506468296051025},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.38775554299354553},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0633050799369812},{"id":"https://openalex.org/C542102704","wikidata":"https://www.wikidata.org/wiki/Q183257","display_name":"Psychotherapist","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/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.0}],"mesh":[],"locations_count":4,"locations":[{"id":"doi:10.1007/978-3-540-76386-4_72","is_oa":false,"landing_page_url":"https://doi.org/10.1007/978-3-540-76386-4_72","pdf_url":null,"source":{"id":"https://openalex.org/S106296714","display_name":"Lecture notes in computer science","issn_l":"0302-9743","issn":["0302-9743","1611-3349"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"book series"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Lecture Notes in Computer Science","raw_type":"book-chapter"},{"id":"pmh:oai:CiteSeerX.psu:10.1.1.606.1584","is_oa":false,"landing_page_url":"http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.606.1584","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"http://www.3dkim.com/Eng/2-20.pdf","raw_type":"text"},{"id":"pmh:oai:eprints.soton.ac.uk:440549","is_oa":false,"landing_page_url":"https://eprints.soton.ac.uk/440549/","pdf_url":null,"source":{"id":"https://openalex.org/S4306401019","display_name":"ePrints Soton (University of Southampton)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I43439940","host_organization_name":"University of Southampton","host_organization_lineage":["https://openalex.org/I43439940"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"Conference or Workshop Item"},{"id":"pmh:oai:eprints.soton.ac.uk:440562","is_oa":false,"landing_page_url":"https://eprints.soton.ac.uk/440562/","pdf_url":null,"source":{"id":"https://openalex.org/S4306401019","display_name":"ePrints Soton (University of Southampton)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I43439940","host_organization_name":"University of Southampton","host_organization_lineage":["https://openalex.org/I43439940"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"Conference or Workshop Item"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":21,"referenced_works":["https://openalex.org/W190081276","https://openalex.org/W1496360957","https://openalex.org/W1499877760","https://openalex.org/W1559679762","https://openalex.org/W2072595688","https://openalex.org/W2096309046","https://openalex.org/W2097156308","https://openalex.org/W2102625004","https://openalex.org/W2110110767","https://openalex.org/W2116629447","https://openalex.org/W2121274305","https://openalex.org/W2122423951","https://openalex.org/W2128384066","https://openalex.org/W2137615543","https://openalex.org/W2140235142","https://openalex.org/W2158604775","https://openalex.org/W2168813398","https://openalex.org/W2169282240","https://openalex.org/W2532535446","https://openalex.org/W2538251352","https://openalex.org/W2611684114"],"related_works":["https://openalex.org/W1993524181","https://openalex.org/W2188430267","https://openalex.org/W2104051139","https://openalex.org/W4309442235","https://openalex.org/W2155354377","https://openalex.org/W28439884","https://openalex.org/W4226212444","https://openalex.org/W2112497652","https://openalex.org/W3138277141","https://openalex.org/W2002381192"],"abstract_inverted_index":null,"counts_by_year":[{"year":2025,"cited_by_count":2},{"year":2022,"cited_by_count":2},{"year":2021,"cited_by_count":3},{"year":2020,"cited_by_count":1},{"year":2019,"cited_by_count":5},{"year":2018,"cited_by_count":5},{"year":2017,"cited_by_count":4},{"year":2016,"cited_by_count":1},{"year":2014,"cited_by_count":6},{"year":2013,"cited_by_count":4},{"year":2012,"cited_by_count":1}],"updated_date":"2026-04-04T16:13:02.066488","created_date":"2025-10-10T00:00:00"}