{"id":"https://openalex.org/W3169624428","doi":"https://doi.org/10.1109/icme51207.2021.9428086","title":"Robust Cross-Scene Foreground Segmentation in Surveillance Video","display_name":"Robust Cross-Scene Foreground Segmentation in Surveillance Video","publication_year":2021,"publication_date":"2021-06-09","ids":{"openalex":"https://openalex.org/W3169624428","doi":"https://doi.org/10.1109/icme51207.2021.9428086","mag":"3169624428"},"language":"en","primary_location":{"id":"doi:10.1109/icme51207.2021.9428086","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icme51207.2021.9428086","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2021 IEEE International Conference on Multimedia and Expo (ICME)","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://figshare.com/articles/conference_contribution/ROBUST_CROSS-SCENE_FOREGROUND_SEGMENTATION_IN_SURVEILLANCE_VIDEO/14254322","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5040099999","display_name":"Dong Liang","orcid":"https://orcid.org/0000-0003-2784-3449"},"institutions":[{"id":"https://openalex.org/I9842412","display_name":"Nanjing University of Aeronautics and Astronautics","ror":"https://ror.org/01scyh794","country_code":"CN","type":"education","lineage":["https://openalex.org/I9842412"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Dong Liang","raw_affiliation_strings":["Nanjing University of Aeronautics and Astronautics, MIIT Key Laboratory of Pattern Analysis and Machine Intelligence, Collaborative Innovation Center of Novel Software Technology and Industrialization,College of Computer Science and Technology","College of Computer Science and Technology, Nanjing University of Aeronautics and Astronautics, MIIT Key Laboratory of Pattern Analysis and Machine Intelligence, Collaborative Innovation Center of Novel Software Technology and Industrialization"],"affiliations":[{"raw_affiliation_string":"Nanjing University of Aeronautics and Astronautics, MIIT Key Laboratory of Pattern Analysis and Machine Intelligence, Collaborative Innovation Center of Novel Software Technology and Industrialization,College of Computer Science and Technology","institution_ids":["https://openalex.org/I9842412"]},{"raw_affiliation_string":"College of Computer Science and Technology, Nanjing University of Aeronautics and Astronautics, MIIT Key Laboratory of Pattern Analysis and Machine Intelligence, Collaborative Innovation Center of Novel Software Technology and Industrialization","institution_ids":["https://openalex.org/I9842412"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5047765605","display_name":"Zongqi Wei","orcid":"https://orcid.org/0000-0001-6947-5280"},"institutions":[{"id":"https://openalex.org/I9842412","display_name":"Nanjing University of Aeronautics and Astronautics","ror":"https://ror.org/01scyh794","country_code":"CN","type":"education","lineage":["https://openalex.org/I9842412"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zongqi Wei","raw_affiliation_strings":["Nanjing University of Aeronautics and Astronautics, MIIT Key Laboratory of Pattern Analysis and Machine Intelligence, Collaborative Innovation Center of Novel Software Technology and Industrialization,College of Computer Science and Technology","College of Computer Science and Technology, Nanjing University of Aeronautics and Astronautics, MIIT Key Laboratory of Pattern Analysis and Machine Intelligence, Collaborative Innovation Center of Novel Software Technology and Industrialization"],"affiliations":[{"raw_affiliation_string":"Nanjing University of Aeronautics and Astronautics, MIIT Key Laboratory of Pattern Analysis and Machine Intelligence, Collaborative Innovation Center of Novel Software Technology and Industrialization,College of Computer Science and Technology","institution_ids":["https://openalex.org/I9842412"]},{"raw_affiliation_string":"College of Computer Science and Technology, Nanjing University of Aeronautics and Astronautics, MIIT Key Laboratory of Pattern Analysis and Machine Intelligence, Collaborative Innovation Center of Novel Software Technology and Industrialization","institution_ids":["https://openalex.org/I9842412"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5004783670","display_name":"Han Sun","orcid":"https://orcid.org/0000-0002-2208-6672"},"institutions":[{"id":"https://openalex.org/I9842412","display_name":"Nanjing University of Aeronautics and Astronautics","ror":"https://ror.org/01scyh794","country_code":"CN","type":"education","lineage":["https://openalex.org/I9842412"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Han Sun","raw_affiliation_strings":["Nanjing University of Aeronautics and Astronautics, MIIT Key Laboratory of Pattern Analysis and Machine Intelligence, Collaborative Innovation Center of Novel Software Technology and Industrialization,College of Computer Science and Technology","College of Computer Science and Technology, Nanjing University of Aeronautics and Astronautics, MIIT Key Laboratory of Pattern Analysis and Machine Intelligence, Collaborative Innovation Center of Novel Software Technology and Industrialization"],"affiliations":[{"raw_affiliation_string":"Nanjing University of Aeronautics and Astronautics, MIIT Key Laboratory of Pattern Analysis and Machine Intelligence, Collaborative Innovation Center of Novel Software Technology and Industrialization,College of Computer Science and Technology","institution_ids":["https://openalex.org/I9842412"]},{"raw_affiliation_string":"College of Computer Science and Technology, Nanjing University of Aeronautics and Astronautics, MIIT Key Laboratory of Pattern Analysis and Machine Intelligence, Collaborative Innovation Center of Novel Software Technology and Industrialization","institution_ids":["https://openalex.org/I9842412"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5066119228","display_name":"Huiyu Zhou","orcid":"https://orcid.org/0000-0003-1634-9840"},"institutions":[{"id":"https://openalex.org/I153648349","display_name":"University of Leicester","ror":"https://ror.org/04h699437","country_code":"GB","type":"education","lineage":["https://openalex.org/I153648349"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Huiyu Zhou","raw_affiliation_strings":["University of Leicester,School of Informatics","School of Informatics, University of Leicester"],"affiliations":[{"raw_affiliation_string":"University of Leicester,School of Informatics","institution_ids":["https://openalex.org/I153648349"]},{"raw_affiliation_string":"School of Informatics, University of Leicester","institution_ids":["https://openalex.org/I153648349"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5040099999"],"corresponding_institution_ids":["https://openalex.org/I9842412"],"apc_list":null,"apc_paid":null,"fwci":0.5826,"has_fulltext":false,"cited_by_count":6,"citation_normalized_percentile":{"value":0.68003685,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":94,"max":98},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"6"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10331","display_name":"Video Surveillance and Tracking Methods","score":1.0,"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":1.0,"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/T11605","display_name":"Visual Attention and Saliency Detection","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/T10627","display_name":"Advanced Image and Video Retrieval Techniques","score":0.9993000030517578,"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":0.8215116262435913},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.7757259607315063},{"id":"https://openalex.org/keywords/background-subtraction","display_name":"Background subtraction","score":0.6860429048538208},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.6401610374450684},{"id":"https://openalex.org/keywords/segmentation","display_name":"Segmentation","score":0.6315015554428101},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.5387042760848999},{"id":"https://openalex.org/keywords/adaptation","display_name":"Adaptation (eye)","score":0.43700796365737915},{"id":"https://openalex.org/keywords/code","display_name":"Code (set theory)","score":0.4150523543357849},{"id":"https://openalex.org/keywords/pixel","display_name":"Pixel","score":0.32843562960624695},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.32281655073165894}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8215116262435913},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7757259607315063},{"id":"https://openalex.org/C32653426","wikidata":"https://www.wikidata.org/wiki/Q3813641","display_name":"Background subtraction","level":3,"score":0.6860429048538208},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.6401610374450684},{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.6315015554428101},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.5387042760848999},{"id":"https://openalex.org/C139807058","wikidata":"https://www.wikidata.org/wiki/Q352374","display_name":"Adaptation (eye)","level":2,"score":0.43700796365737915},{"id":"https://openalex.org/C2776760102","wikidata":"https://www.wikidata.org/wiki/Q5139990","display_name":"Code (set theory)","level":3,"score":0.4150523543357849},{"id":"https://openalex.org/C160633673","wikidata":"https://www.wikidata.org/wiki/Q355198","display_name":"Pixel","level":2,"score":0.32843562960624695},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.32281655073165894},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.0},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C120665830","wikidata":"https://www.wikidata.org/wiki/Q14620","display_name":"Optics","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/icme51207.2021.9428086","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icme51207.2021.9428086","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2021 IEEE International Conference on Multimedia and Expo (ICME)","raw_type":"proceedings-article"},{"id":"pmh:oai:figshare.com:article/14254322","is_oa":true,"landing_page_url":"https://figshare.com/articles/conference_contribution/ROBUST_CROSS-SCENE_FOREGROUND_SEGMENTATION_IN_SURVEILLANCE_VIDEO/14254322","pdf_url":null,"source":{"id":"https://openalex.org/S4377196282","display_name":"Figshare","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I4210132348","host_organization_name":"Figshare (United Kingdom)","host_organization_lineage":["https://openalex.org/I4210132348"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"Text"}],"best_oa_location":{"id":"pmh:oai:figshare.com:article/14254322","is_oa":true,"landing_page_url":"https://figshare.com/articles/conference_contribution/ROBUST_CROSS-SCENE_FOREGROUND_SEGMENTATION_IN_SURVEILLANCE_VIDEO/14254322","pdf_url":null,"source":{"id":"https://openalex.org/S4377196282","display_name":"Figshare","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I4210132348","host_organization_name":"Figshare (United Kingdom)","host_organization_lineage":["https://openalex.org/I4210132348"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"Text"},"sustainable_development_goals":[],"awards":[],"funders":[{"id":"https://openalex.org/F4320306076","display_name":"National Science Foundation","ror":"https://ror.org/021nxhr62"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":34,"referenced_works":["https://openalex.org/W1994634851","https://openalex.org/W2052524720","https://openalex.org/W2102625004","https://openalex.org/W2112755387","https://openalex.org/W2118143383","https://openalex.org/W2127070222","https://openalex.org/W2130184867","https://openalex.org/W2140235142","https://openalex.org/W2417256080","https://openalex.org/W2511363568","https://openalex.org/W2525668722","https://openalex.org/W2560023338","https://openalex.org/W2737258237","https://openalex.org/W2751961297","https://openalex.org/W2759692151","https://openalex.org/W2783946051","https://openalex.org/W2798791840","https://openalex.org/W2902858922","https://openalex.org/W2903118147","https://openalex.org/W2916365730","https://openalex.org/W2952762944","https://openalex.org/W2963351448","https://openalex.org/W2964309882","https://openalex.org/W2967043539","https://openalex.org/W2989684653","https://openalex.org/W2990524584","https://openalex.org/W3035186652","https://openalex.org/W6675656709","https://openalex.org/W6717060595","https://openalex.org/W6748106109","https://openalex.org/W6748481559","https://openalex.org/W6756916886","https://openalex.org/W6757174132","https://openalex.org/W6779519796"],"related_works":["https://openalex.org/W2188430267","https://openalex.org/W2610698896","https://openalex.org/W2369265144","https://openalex.org/W1575672096","https://openalex.org/W2161219919","https://openalex.org/W28439884","https://openalex.org/W2753866198","https://openalex.org/W2798919479","https://openalex.org/W2171963437","https://openalex.org/W2002381192"],"abstract_inverted_index":{"<sup":[0],"xmlns:mml=\"http://www.w3.org/1998/Math/MathML\"":[1],"xmlns:xlink=\"http://www.w3.org/1999/xlink\">1</sup>":[2],"Training":[3],"only":[4],"one":[5],"deep":[6,20,32,92],"model":[7],"for":[8],"large-scale":[9],"cross-scene":[10],"video":[11],"foreground":[12,60],"segmentation":[13],"is":[14,66,107],"challenging":[15],"due":[16],"to":[17,73],"the":[18,78,85,90],"off-the-shelf":[19],"learning":[21],"based":[22],"segmentor":[23],"relies":[24],"on":[25],"scene-specific":[26],"structural":[27],"information.":[28],"This":[29],"results":[30],"in":[31,67,77,98],"models":[33,93],"that":[34,39],"are":[35,40],"scene-biased":[36],"and":[37,51,53,72,80,94,103],"evaluations":[38],"scene-influenced.":[41],"In":[42],"this":[43],"paper,":[44],"we":[45],"integrate":[46],"dual":[47],"modalities":[48],"(foregrounds\u2019":[49],"motion":[50],"appearance),":[52],"then":[54],"eliminating":[55],"features":[56],"without":[57],"representativeness":[58],"of":[59],"through":[61],"attention-module-guided":[62],"selective-connection":[63],"structures.":[64],"It":[65],"an":[68],"end-to-end":[69],"training":[70],"manner":[71],"achieve":[74],"scene":[75],"adaptation":[76],"plug":[79],"play":[81],"style.":[82],"Experiments":[83],"indicate":[84],"proposed":[86],"method":[87],"significantly":[88],"outperforms":[89],"state-of-the-art":[91],"background":[95],"subtraction":[96],"methods":[97],"un-trained":[99],"scenes":[100],"\u2013":[101],"LIMU":[102],"LASIESTA.":[104],"Source":[105],"Code":[106],"available":[108],"at:":[109],"https://github.com/WeiZongqi/HOFAM":[110]},"counts_by_year":[{"year":2024,"cited_by_count":2},{"year":2023,"cited_by_count":4}],"updated_date":"2026-04-04T16:13:02.066488","created_date":"2025-10-10T00:00:00"}
