{"id":"https://openalex.org/W2060799896","doi":"https://doi.org/10.1109/cvpr.2012.6247914","title":"Active attentional sampling for speed-up of background subtraction","display_name":"Active attentional sampling for speed-up of background subtraction","publication_year":2012,"publication_date":"2012-06-01","ids":{"openalex":"https://openalex.org/W2060799896","doi":"https://doi.org/10.1109/cvpr.2012.6247914","mag":"2060799896"},"language":"en","primary_location":{"id":"doi:10.1109/cvpr.2012.6247914","is_oa":false,"landing_page_url":"https://doi.org/10.1109/cvpr.2012.6247914","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2012 IEEE Conference on Computer Vision and Pattern Recognition","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/A5004895698","display_name":"Hyung Jin Chang","orcid":"https://orcid.org/0000-0001-7495-9677"},"institutions":[{"id":"https://openalex.org/I139264467","display_name":"Seoul National University","ror":"https://ror.org/04h9pn542","country_code":"KR","type":"education","lineage":["https://openalex.org/I139264467"]}],"countries":["KR"],"is_corresponding":true,"raw_author_name":"Hyung Jin Chang","raw_affiliation_strings":["Perception and Intelligence Laboratory, School of EECS, ASRI, Seoul National University, Seoul, South Korea","Perception and Intelligence Lab., School of EECS, ASRI, Seoul National University, Seoul, Korea"],"affiliations":[{"raw_affiliation_string":"Perception and Intelligence Laboratory, School of EECS, ASRI, Seoul National University, Seoul, South Korea","institution_ids":["https://openalex.org/I139264467"]},{"raw_affiliation_string":"Perception and Intelligence Lab., School of EECS, ASRI, Seoul National University, Seoul, Korea","institution_ids":["https://openalex.org/I139264467"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5039443149","display_name":"Hawook Jeong","orcid":null},"institutions":[{"id":"https://openalex.org/I139264467","display_name":"Seoul National University","ror":"https://ror.org/04h9pn542","country_code":"KR","type":"education","lineage":["https://openalex.org/I139264467"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Hawook Jeong","raw_affiliation_strings":["Perception and Intelligence Laboratory, School of EECS, ASRI, Seoul National University, Seoul, South Korea","Perception and Intelligence Lab., School of EECS, ASRI, Seoul National University, Seoul, Korea"],"affiliations":[{"raw_affiliation_string":"Perception and Intelligence Laboratory, School of EECS, ASRI, Seoul National University, Seoul, South Korea","institution_ids":["https://openalex.org/I139264467"]},{"raw_affiliation_string":"Perception and Intelligence Lab., School of EECS, ASRI, Seoul National University, Seoul, Korea","institution_ids":["https://openalex.org/I139264467"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100636341","display_name":"Jin\u2010Young Choi","orcid":"https://orcid.org/0000-0002-9025-6274"},"institutions":[{"id":"https://openalex.org/I139264467","display_name":"Seoul National University","ror":"https://ror.org/04h9pn542","country_code":"KR","type":"education","lineage":["https://openalex.org/I139264467"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Jin Young Choi","raw_affiliation_strings":["Perception and Intelligence Laboratory, School of EECS, ASRI, Seoul National University, Seoul, South Korea","Perception and Intelligence Lab., School of EECS, ASRI, Seoul National University, Seoul, Korea"],"affiliations":[{"raw_affiliation_string":"Perception and Intelligence Laboratory, School of EECS, ASRI, Seoul National University, Seoul, South Korea","institution_ids":["https://openalex.org/I139264467"]},{"raw_affiliation_string":"Perception and Intelligence Lab., School of EECS, ASRI, Seoul National University, Seoul, Korea","institution_ids":["https://openalex.org/I139264467"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5004895698"],"corresponding_institution_ids":["https://openalex.org/I139264467"],"apc_list":null,"apc_paid":null,"fwci":2.2134,"has_fulltext":false,"cited_by_count":19,"citation_normalized_percentile":{"value":0.89194241,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":98},"biblio":{"volume":null,"issue":null,"first_page":"2088","last_page":"2095"},"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":0.994700014591217,"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/T11512","display_name":"Anomaly Detection Techniques and Applications","score":0.9945999979972839,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"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":0.7968999147415161},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7624211311340332},{"id":"https://openalex.org/keywords/sampling","display_name":"Sampling (signal processing)","score":0.7384871244430542},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6880569458007812},{"id":"https://openalex.org/keywords/subtraction","display_name":"Subtraction","score":0.6529529690742493},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.6416921019554138},{"id":"https://openalex.org/keywords/masking","display_name":"Masking (illustration)","score":0.5956547260284424},{"id":"https://openalex.org/keywords/focus","display_name":"Focus (optics)","score":0.5623015761375427},{"id":"https://openalex.org/keywords/pixel","display_name":"Pixel","score":0.5598576664924622},{"id":"https://openalex.org/keywords/frame","display_name":"Frame (networking)","score":0.549440860748291},{"id":"https://openalex.org/keywords/probabilistic-logic","display_name":"Probabilistic logic","score":0.5159159898757935},{"id":"https://openalex.org/keywords/sampling-scheme","display_name":"Sampling scheme","score":0.4662545919418335},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.3451005220413208},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.18770751357078552},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.1041460931301117}],"concepts":[{"id":"https://openalex.org/C32653426","wikidata":"https://www.wikidata.org/wiki/Q3813641","display_name":"Background subtraction","level":3,"score":0.7968999147415161},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7624211311340332},{"id":"https://openalex.org/C140779682","wikidata":"https://www.wikidata.org/wiki/Q210868","display_name":"Sampling (signal processing)","level":3,"score":0.7384871244430542},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6880569458007812},{"id":"https://openalex.org/C68060419","wikidata":"https://www.wikidata.org/wiki/Q40754","display_name":"Subtraction","level":2,"score":0.6529529690742493},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.6416921019554138},{"id":"https://openalex.org/C2777402240","wikidata":"https://www.wikidata.org/wiki/Q6783436","display_name":"Masking (illustration)","level":2,"score":0.5956547260284424},{"id":"https://openalex.org/C192209626","wikidata":"https://www.wikidata.org/wiki/Q190909","display_name":"Focus (optics)","level":2,"score":0.5623015761375427},{"id":"https://openalex.org/C160633673","wikidata":"https://www.wikidata.org/wiki/Q355198","display_name":"Pixel","level":2,"score":0.5598576664924622},{"id":"https://openalex.org/C126042441","wikidata":"https://www.wikidata.org/wiki/Q1324888","display_name":"Frame (networking)","level":2,"score":0.549440860748291},{"id":"https://openalex.org/C49937458","wikidata":"https://www.wikidata.org/wiki/Q2599292","display_name":"Probabilistic logic","level":2,"score":0.5159159898757935},{"id":"https://openalex.org/C2985139394","wikidata":"https://www.wikidata.org/wiki/Q49908","display_name":"Sampling scheme","level":3,"score":0.4662545919418335},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3451005220413208},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.18770751357078552},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.1041460931301117},{"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},{"id":"https://openalex.org/C106131492","wikidata":"https://www.wikidata.org/wiki/Q3072260","display_name":"Filter (signal processing)","level":2,"score":0.0},{"id":"https://openalex.org/C185429906","wikidata":"https://www.wikidata.org/wiki/Q1130160","display_name":"Estimator","level":2,"score":0.0},{"id":"https://openalex.org/C153349607","wikidata":"https://www.wikidata.org/wiki/Q36649","display_name":"Visual arts","level":1,"score":0.0},{"id":"https://openalex.org/C142362112","wikidata":"https://www.wikidata.org/wiki/Q735","display_name":"Art","level":0,"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/C94375191","wikidata":"https://www.wikidata.org/wiki/Q11205","display_name":"Arithmetic","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/cvpr.2012.6247914","is_oa":false,"landing_page_url":"https://doi.org/10.1109/cvpr.2012.6247914","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2012 IEEE Conference on Computer Vision and Pattern Recognition","raw_type":"proceedings-article"},{"id":"pmh:oai:pure.atira.dk:openaire_cris_publications/8acdb7d3-816a-49c8-95a9-86b1ac2c72b9","is_oa":false,"landing_page_url":"https://research.birmingham.ac.uk/en/publications/8acdb7d3-816a-49c8-95a9-86b1ac2c72b9","pdf_url":null,"source":{"id":"https://openalex.org/S4306402634","display_name":"University of Birmingham Research Portal (University of Birmingham)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I79619799","host_organization_name":"University of Birmingham","host_organization_lineage":["https://openalex.org/I79619799"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Chang, H J, Jeong, H & Choi, J Y 2012, Active attentional sampling for speed-up of background subtraction. in 2012 IEEE Conference on Computer Vision and Pattern Recognition., 6247914, IEEE, pp. 2088-2095, 2012 IEEE Conference on Computer Vision and Pattern Recognition, 16/06/12. https://doi.org/10.1109/CVPR.2012.6247914","raw_type":"contributionToPeriodical"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":24,"referenced_works":["https://openalex.org/W151036635","https://openalex.org/W1506806321","https://openalex.org/W1528361845","https://openalex.org/W1529387951","https://openalex.org/W1974558763","https://openalex.org/W1996624830","https://openalex.org/W2010922075","https://openalex.org/W2035866593","https://openalex.org/W2069057506","https://openalex.org/W2100234160","https://openalex.org/W2102625004","https://openalex.org/W2115415549","https://openalex.org/W2118143383","https://openalex.org/W2124082557","https://openalex.org/W2136020510","https://openalex.org/W2143587380","https://openalex.org/W2166943865","https://openalex.org/W2168082005","https://openalex.org/W2263998850","https://openalex.org/W2299738717","https://openalex.org/W2570764145","https://openalex.org/W2949071206","https://openalex.org/W6693172961","https://openalex.org/W6697713907"],"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/W2090049157","https://openalex.org/W2171963437"],"abstract_inverted_index":{"In":[0],"this":[1,73],"paper,":[2],"we":[3,56],"present":[4],"an":[5],"active":[6,19,77,97],"sampling":[7,20,79,87,98],"method":[8,99,108],"to":[9,24,83],"speed":[10],"up":[11,111],"conventional":[12,135],"pixel-wise":[13,112],"background":[14,113,136],"subtraction":[15,114,137],"algorithms.":[16,138],"The":[17,33,92,105],"proposed":[18,96,106],"strategy":[21],"is":[22,36,81,100,130],"designed":[23],"focus":[25],"on":[26,63],"attentional":[27,34,54,78],"region":[28,35],"such":[29],"as":[30],"foreground":[31,59,74],"regions.":[32],"estimated":[37],"by":[38],"detection":[39,121,125],"results":[40],"of":[41,52,69,94],"previous":[42],"frame":[43],"in":[44],"a":[45,58,85],"recursive":[46],"probabilistic":[47],"way.":[48],"For":[49],"the":[50,53,95],"estimation":[51],"region,":[55],"propose":[57],"probability":[60,75],"map":[61],"based":[62],"temporal,":[64],"spatial,":[65],"and":[66],"frequency":[67],"properties":[68],"foregrounds.":[70,91],"By":[71],"using":[72],"map,":[76],"scheme":[80],"developed":[82],"make":[84],"minimal":[86],"mask":[88],"covering":[89],"almost":[90],"effectiveness":[93],"shown":[101],"through":[102,133],"various":[103,134],"experiments.":[104],"masking":[107],"successfully":[109,131],"speeds":[110],"methods":[115],"approximately":[116],"6.6":[117],"times":[118],"without":[119],"deteriorating":[120],"performance.":[122],"Also":[123],"realtime":[124],"with":[126],"Full":[127],"HD":[128],"video":[129],"achieved":[132]},"counts_by_year":[{"year":2021,"cited_by_count":1},{"year":2020,"cited_by_count":2},{"year":2019,"cited_by_count":1},{"year":2018,"cited_by_count":1},{"year":2017,"cited_by_count":2},{"year":2016,"cited_by_count":4},{"year":2015,"cited_by_count":3},{"year":2014,"cited_by_count":3},{"year":2013,"cited_by_count":2}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}