{"id":"https://openalex.org/W1570873695","doi":"https://doi.org/10.1007/11612032_90","title":"Markovian Framework for Foreground-Background-Shadow Separation of Real World Video Scenes","display_name":"Markovian Framework for Foreground-Background-Shadow Separation of Real World Video Scenes","publication_year":2006,"publication_date":"2006-01-01","ids":{"openalex":"https://openalex.org/W1570873695","doi":"https://doi.org/10.1007/11612032_90","mag":"1570873695"},"language":"en","primary_location":{"id":"doi:10.1007/11612032_90","is_oa":false,"landing_page_url":"https://doi.org/10.1007/11612032_90","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/A5044638075","display_name":"Csaba Benedek","orcid":"https://orcid.org/0000-0003-3203-0741"},"institutions":[{"id":"https://openalex.org/I31882830","display_name":"P\u00e1zm\u00e1ny P\u00e9ter Catholic University","ror":"https://ror.org/05v9kya57","country_code":"HU","type":"education","lineage":["https://openalex.org/I31882830"]}],"countries":["HU"],"is_corresponding":true,"raw_author_name":"Csaba Benedek","raw_affiliation_strings":["Department of Information Technology, P\u00e1zm\u00e1ny P\u00e9ter Catholic University, H-1083, Budapest, Pr\u00e1ter utca 50/A, Hungary"],"affiliations":[{"raw_affiliation_string":"Department of Information Technology, P\u00e1zm\u00e1ny P\u00e9ter Catholic University, H-1083, Budapest, Pr\u00e1ter utca 50/A, Hungary","institution_ids":["https://openalex.org/I31882830"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5068908845","display_name":"Tam\u00e1s Szir\u00e1nyi","orcid":"https://orcid.org/0000-0003-2989-0214"},"institutions":[{"id":"https://openalex.org/I7597260","display_name":"Hungarian Academy of Sciences","ror":"https://ror.org/02ks8qq67","country_code":"HU","type":"funder","lineage":["https://openalex.org/I7597260"]}],"countries":["HU"],"is_corresponding":false,"raw_author_name":"Tam\u00e1s Szir\u00e1nyi","raw_affiliation_strings":["Analogical Computing Laboratory, Computer and Automation Institute, Hungarian Academy of Sciences, H-1111, Budapest, Kende u. 13-17, Hungary"],"affiliations":[{"raw_affiliation_string":"Analogical Computing Laboratory, Computer and Automation Institute, Hungarian Academy of Sciences, H-1111, Budapest, Kende u. 13-17, Hungary","institution_ids":["https://openalex.org/I7597260"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5044638075"],"corresponding_institution_ids":["https://openalex.org/I31882830"],"apc_list":{"value":5000,"currency":"EUR","value_usd":5392},"apc_paid":null,"fwci":4.1154,"has_fulltext":false,"cited_by_count":18,"citation_normalized_percentile":{"value":0.95555132,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":89,"max":97},"biblio":{"volume":null,"issue":null,"first_page":"898","last_page":"907"},"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":0.9991000294685364,"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":0.9939000010490417,"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/computer-science","display_name":"Computer science","score":0.7960968613624573},{"id":"https://openalex.org/keywords/foreground-detection","display_name":"Foreground detection","score":0.7609323263168335},{"id":"https://openalex.org/keywords/shadow","display_name":"Shadow (psychology)","score":0.7326768040657043},{"id":"https://openalex.org/keywords/markov-random-field","display_name":"Markov random field","score":0.6873539686203003},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.6860994100570679},{"id":"https://openalex.org/keywords/benchmark","display_name":"Benchmark (surveying)","score":0.6643074750900269},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6636747121810913},{"id":"https://openalex.org/keywords/exploit","display_name":"Exploit","score":0.5140575170516968},{"id":"https://openalex.org/keywords/a-priori-and-a-posteriori","display_name":"A priori and a posteriori","score":0.5070295333862305},{"id":"https://openalex.org/keywords/point","display_name":"Point (geometry)","score":0.492726594209671},{"id":"https://openalex.org/keywords/separation","display_name":"Separation (statistics)","score":0.4555481970310211},{"id":"https://openalex.org/keywords/markov-process","display_name":"Markov process","score":0.4450993835926056},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.4019743502140045},{"id":"https://openalex.org/keywords/background-subtraction","display_name":"Background subtraction","score":0.3383774757385254},{"id":"https://openalex.org/keywords/pixel","display_name":"Pixel","score":0.28800714015960693},{"id":"https://openalex.org/keywords/image-segmentation","display_name":"Image segmentation","score":0.16218751668930054},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.15670764446258545},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.14506873488426208},{"id":"https://openalex.org/keywords/geography","display_name":"Geography","score":0.11684530973434448},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.10548344254493713},{"id":"https://openalex.org/keywords/cartography","display_name":"Cartography","score":0.09197142720222473}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7960968613624573},{"id":"https://openalex.org/C2779769447","wikidata":"https://www.wikidata.org/wiki/Q3813641","display_name":"Foreground detection","level":4,"score":0.7609323263168335},{"id":"https://openalex.org/C117797892","wikidata":"https://www.wikidata.org/wiki/Q286363","display_name":"Shadow (psychology)","level":2,"score":0.7326768040657043},{"id":"https://openalex.org/C2778045648","wikidata":"https://www.wikidata.org/wiki/Q176827","display_name":"Markov random field","level":4,"score":0.6873539686203003},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.6860994100570679},{"id":"https://openalex.org/C185798385","wikidata":"https://www.wikidata.org/wiki/Q1161707","display_name":"Benchmark (surveying)","level":2,"score":0.6643074750900269},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6636747121810913},{"id":"https://openalex.org/C165696696","wikidata":"https://www.wikidata.org/wiki/Q11287","display_name":"Exploit","level":2,"score":0.5140575170516968},{"id":"https://openalex.org/C75553542","wikidata":"https://www.wikidata.org/wiki/Q178161","display_name":"A priori and a posteriori","level":2,"score":0.5070295333862305},{"id":"https://openalex.org/C28719098","wikidata":"https://www.wikidata.org/wiki/Q44946","display_name":"Point (geometry)","level":2,"score":0.492726594209671},{"id":"https://openalex.org/C2776061190","wikidata":"https://www.wikidata.org/wiki/Q7451805","display_name":"Separation (statistics)","level":2,"score":0.4555481970310211},{"id":"https://openalex.org/C159886148","wikidata":"https://www.wikidata.org/wiki/Q176645","display_name":"Markov process","level":2,"score":0.4450993835926056},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.4019743502140045},{"id":"https://openalex.org/C32653426","wikidata":"https://www.wikidata.org/wiki/Q3813641","display_name":"Background subtraction","level":3,"score":0.3383774757385254},{"id":"https://openalex.org/C160633673","wikidata":"https://www.wikidata.org/wiki/Q355198","display_name":"Pixel","level":2,"score":0.28800714015960693},{"id":"https://openalex.org/C124504099","wikidata":"https://www.wikidata.org/wiki/Q56933","display_name":"Image segmentation","level":3,"score":0.16218751668930054},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.15670764446258545},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.14506873488426208},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.11684530973434448},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.10548344254493713},{"id":"https://openalex.org/C58640448","wikidata":"https://www.wikidata.org/wiki/Q42515","display_name":"Cartography","level":1,"score":0.09197142720222473},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"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/C542102704","wikidata":"https://www.wikidata.org/wiki/Q183257","display_name":"Psychotherapist","level":1,"score":0.0},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","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},{"id":"https://openalex.org/C111472728","wikidata":"https://www.wikidata.org/wiki/Q9471","display_name":"Epistemology","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1007/11612032_90","is_oa":false,"landing_page_url":"https://doi.org/10.1007/11612032_90","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"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/11","display_name":"Sustainable cities and communities","score":0.6600000262260437}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":14,"referenced_works":["https://openalex.org/W1487980058","https://openalex.org/W1604541405","https://openalex.org/W1975981790","https://openalex.org/W1998618546","https://openalex.org/W2020999234","https://openalex.org/W2045867374","https://openalex.org/W2084832439","https://openalex.org/W2096989099","https://openalex.org/W2111918405","https://openalex.org/W2156385557","https://openalex.org/W2157030221","https://openalex.org/W2158979073","https://openalex.org/W2164598857","https://openalex.org/W4285719527"],"related_works":["https://openalex.org/W2093504595","https://openalex.org/W2105103921","https://openalex.org/W2400514148","https://openalex.org/W1999137714","https://openalex.org/W2953123162","https://openalex.org/W2086414697","https://openalex.org/W2188430267","https://openalex.org/W4298195641","https://openalex.org/W2084753955","https://openalex.org/W2110416663"],"abstract_inverted_index":null,"counts_by_year":[{"year":2021,"cited_by_count":1},{"year":2017,"cited_by_count":1},{"year":2014,"cited_by_count":3}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
