{"id":"https://openalex.org/W2767576492","doi":"https://doi.org/10.1109/icfsp.2017.8097157","title":"Online codebook modeling based background subtraction with a moving camera","display_name":"Online codebook modeling based background subtraction with a moving camera","publication_year":2017,"publication_date":"2017-09-01","ids":{"openalex":"https://openalex.org/W2767576492","doi":"https://doi.org/10.1109/icfsp.2017.8097157","mag":"2767576492"},"language":"en","primary_location":{"id":"doi:10.1109/icfsp.2017.8097157","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icfsp.2017.8097157","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2017 3rd International Conference on Frontiers of Signal Processing (ICFSP)","raw_type":"proceedings-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/A5029956297","display_name":"Liyun Gong","orcid":"https://orcid.org/0000-0002-7223-5904"},"institutions":[{"id":"https://openalex.org/I51532219","display_name":"University of Lincoln","ror":"https://ror.org/03yeq9x20","country_code":"GB","type":"education","lineage":["https://openalex.org/I51532219"]}],"countries":["GB"],"is_corresponding":true,"raw_author_name":"Liyun Gong","raw_affiliation_strings":["School of Computer Science University of Lincoln, UK"],"affiliations":[{"raw_affiliation_string":"School of Computer Science University of Lincoln, UK","institution_ids":["https://openalex.org/I51532219"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5044367644","display_name":"Miao Yu","orcid":"https://orcid.org/0000-0001-6576-9564"},"institutions":[{"id":"https://openalex.org/I51532219","display_name":"University of Lincoln","ror":"https://ror.org/03yeq9x20","country_code":"GB","type":"education","lineage":["https://openalex.org/I51532219"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Miao Yu","raw_affiliation_strings":["School of Computer Science University of Lincoln, UK"],"affiliations":[{"raw_affiliation_string":"School of Computer Science University of Lincoln, UK","institution_ids":["https://openalex.org/I51532219"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5103098876","display_name":"Timothy Gordon","orcid":"https://orcid.org/0000-0001-7048-7414"},"institutions":[{"id":"https://openalex.org/I51532219","display_name":"University of Lincoln","ror":"https://ror.org/03yeq9x20","country_code":"GB","type":"education","lineage":["https://openalex.org/I51532219"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Timothy Gordon","raw_affiliation_strings":["School of Computer Science University of Lincoln, UK"],"affiliations":[{"raw_affiliation_string":"School of Computer Science University of Lincoln, UK","institution_ids":["https://openalex.org/I51532219"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5029956297"],"corresponding_institution_ids":["https://openalex.org/I51532219"],"apc_list":null,"apc_paid":null,"fwci":0.6372,"has_fulltext":false,"cited_by_count":9,"citation_normalized_percentile":{"value":0.7892099,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":97},"biblio":{"volume":null,"issue":null,"first_page":"136","last_page":"140"},"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/T12222","display_name":"IoT-based Smart Home Systems","score":0.9901000261306763,"subfield":{"id":"https://openalex.org/subfields/2208","display_name":"Electrical and Electronic Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T11439","display_name":"Video Analysis and Summarization","score":0.9887999892234802,"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":0.919615626335144},{"id":"https://openalex.org/keywords/codebook","display_name":"Codebook","score":0.8385269641876221},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.8379109501838684},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.8320525884628296},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7545922994613647},{"id":"https://openalex.org/keywords/rgb-color-model","display_name":"RGB color model","score":0.6510422825813293},{"id":"https://openalex.org/keywords/object-detection","display_name":"Object detection","score":0.5052526593208313},{"id":"https://openalex.org/keywords/transformation","display_name":"Transformation (genetics)","score":0.44487398862838745},{"id":"https://openalex.org/keywords/tracking","display_name":"Tracking (education)","score":0.43218883872032166},{"id":"https://openalex.org/keywords/frame","display_name":"Frame (networking)","score":0.42574137449264526},{"id":"https://openalex.org/keywords/background-image","display_name":"Background image","score":0.4241184890270233},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.2765825390815735},{"id":"https://openalex.org/keywords/pixel","display_name":"Pixel","score":0.2748776078224182},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.2712092995643616}],"concepts":[{"id":"https://openalex.org/C32653426","wikidata":"https://www.wikidata.org/wiki/Q3813641","display_name":"Background subtraction","level":3,"score":0.919615626335144},{"id":"https://openalex.org/C127759330","wikidata":"https://www.wikidata.org/wiki/Q637416","display_name":"Codebook","level":2,"score":0.8385269641876221},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.8379109501838684},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.8320525884628296},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7545922994613647},{"id":"https://openalex.org/C82990744","wikidata":"https://www.wikidata.org/wiki/Q166194","display_name":"RGB color model","level":2,"score":0.6510422825813293},{"id":"https://openalex.org/C2776151529","wikidata":"https://www.wikidata.org/wiki/Q3045304","display_name":"Object detection","level":3,"score":0.5052526593208313},{"id":"https://openalex.org/C204241405","wikidata":"https://www.wikidata.org/wiki/Q461499","display_name":"Transformation (genetics)","level":3,"score":0.44487398862838745},{"id":"https://openalex.org/C2775936607","wikidata":"https://www.wikidata.org/wiki/Q466845","display_name":"Tracking (education)","level":2,"score":0.43218883872032166},{"id":"https://openalex.org/C126042441","wikidata":"https://www.wikidata.org/wiki/Q1324888","display_name":"Frame (networking)","level":2,"score":0.42574137449264526},{"id":"https://openalex.org/C3019635856","wikidata":"https://www.wikidata.org/wiki/Q1619726","display_name":"Background image","level":3,"score":0.4241184890270233},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.2765825390815735},{"id":"https://openalex.org/C160633673","wikidata":"https://www.wikidata.org/wiki/Q355198","display_name":"Pixel","level":2,"score":0.2748776078224182},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.2712092995643616},{"id":"https://openalex.org/C104317684","wikidata":"https://www.wikidata.org/wiki/Q7187","display_name":"Gene","level":2,"score":0.0},{"id":"https://openalex.org/C19417346","wikidata":"https://www.wikidata.org/wiki/Q7922","display_name":"Pedagogy","level":1,"score":0.0},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.0},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.0},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.0},{"id":"https://openalex.org/C55493867","wikidata":"https://www.wikidata.org/wiki/Q7094","display_name":"Biochemistry","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icfsp.2017.8097157","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icfsp.2017.8097157","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2017 3rd International Conference on Frontiers of Signal Processing (ICFSP)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.49000000953674316,"display_name":"Peace, Justice and strong institutions","id":"https://metadata.un.org/sdg/16"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":13,"referenced_works":["https://openalex.org/W73408634","https://openalex.org/W1731714892","https://openalex.org/W1993451914","https://openalex.org/W2029554838","https://openalex.org/W2036078016","https://openalex.org/W2040070350","https://openalex.org/W2118143383","https://openalex.org/W2132806726","https://openalex.org/W2158604775","https://openalex.org/W2787133181","https://openalex.org/W6602940862","https://openalex.org/W6679414232","https://openalex.org/W6748356320"],"related_works":["https://openalex.org/W2564343397","https://openalex.org/W2071787278","https://openalex.org/W2382329643","https://openalex.org/W2282723021","https://openalex.org/W2390373065","https://openalex.org/W2085583222","https://openalex.org/W2386555023","https://openalex.org/W2002094820","https://openalex.org/W2547883768","https://openalex.org/W1987287817"],"abstract_inverted_index":{"This":[0],"paper":[1],"proposes":[2],"a":[3,9,97],"new":[4],"background":[5,32,57],"subtraction":[6],"method":[7,92],"by":[8,67],"moving":[10],"camera":[11,52],"for":[12,30,50],"the":[13,24,31,40,46,51,69,79,90],"object":[14],"detection.":[15],"Key":[16],"points":[17],"are":[18,37],"firstly":[19],"extracted":[20],"and":[21,61,84],"tracked.":[22],"From":[23],"tracking":[25],"results,":[26],"spatial":[27],"transformation":[28],"relationships":[29],"scenes":[33],"in":[34,63],"consecutive":[35],"frames":[36],"obtained":[38],"while":[39],"current":[41],"frame":[42],"is":[43,59,75],"warped":[44],"to":[45,77],"previous":[47],"image":[48],"plane":[49],"movement":[53],"compensation.":[54],"A":[55],"codebook":[56],"model":[58],"constructed":[60],"updated":[62],"an":[64],"online":[65],"way":[66],"exploiting":[68],"full":[70],"RGB":[71],"color":[72],"information,":[73],"which":[74],"used":[76],"distinguish":[78],"foreground/background":[80],"regions.":[81],"Both":[82],"qualitative":[83],"quantitative":[85],"experimental":[86],"results":[87],"show":[88],"that":[89],"proposed":[91],"outperforms":[93],"its":[94],"counterparts":[95],"with":[96],"better":[98],"performance.":[99]},"counts_by_year":[{"year":2024,"cited_by_count":1},{"year":2021,"cited_by_count":1},{"year":2020,"cited_by_count":4},{"year":2019,"cited_by_count":2},{"year":2018,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
