{"id":"https://openalex.org/W2415233153","doi":"https://doi.org/10.1109/acpr.2015.7486475","title":"Exploiting high-speed sequences for background subtraction","display_name":"Exploiting high-speed sequences for background subtraction","publication_year":2015,"publication_date":"2015-11-01","ids":{"openalex":"https://openalex.org/W2415233153","doi":"https://doi.org/10.1109/acpr.2015.7486475","mag":"2415233153"},"language":"en","primary_location":{"id":"doi:10.1109/acpr.2015.7486475","is_oa":false,"landing_page_url":"https://doi.org/10.1109/acpr.2015.7486475","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2015 3rd IAPR Asian Conference on Pattern Recognition (ACPR)","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/A5110404565","display_name":"Nils St\u00e5hl","orcid":null},"institutions":[{"id":"https://openalex.org/I86987016","display_name":"KTH Royal Institute of Technology","ror":"https://ror.org/026vcq606","country_code":"SE","type":"education","lineage":["https://openalex.org/I86987016"]}],"countries":["SE"],"is_corresponding":true,"raw_author_name":"Nils Stahl","raw_affiliation_strings":["Royal Institute of Technology (KTH) Stockholm, Sweden"],"affiliations":[{"raw_affiliation_string":"Royal Institute of Technology (KTH) Stockholm, Sweden","institution_ids":["https://openalex.org/I86987016"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5019847301","display_name":"Niklas Bergstr\u00f6m","orcid":null},"institutions":[{"id":"https://openalex.org/I74801974","display_name":"The University of Tokyo","ror":"https://ror.org/057zh3y96","country_code":"JP","type":"education","lineage":["https://openalex.org/I74801974"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Niklas Bergstrom","raw_affiliation_strings":["University of Tokyo, Bunkyo-ku, Tokyo, Japan"],"affiliations":[{"raw_affiliation_string":"University of Tokyo, Bunkyo-ku, Tokyo, Japan","institution_ids":["https://openalex.org/I74801974"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5010897098","display_name":"Masatoshi Ishikawa","orcid":"https://orcid.org/0000-0002-6096-830X"},"institutions":[{"id":"https://openalex.org/I74801974","display_name":"The University of Tokyo","ror":"https://ror.org/057zh3y96","country_code":"JP","type":"education","lineage":["https://openalex.org/I74801974"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Masatoshi Ishikawa","raw_affiliation_strings":["University of Tokyo, Bunkyo-ku, Tokyo, Japan"],"affiliations":[{"raw_affiliation_string":"University of Tokyo, Bunkyo-ku, Tokyo, Japan","institution_ids":["https://openalex.org/I74801974"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5110404565"],"corresponding_institution_ids":["https://openalex.org/I86987016"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.21994238,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"34","issue":null,"first_page":"106","last_page":"110"},"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/T11439","display_name":"Video Analysis and Summarization","score":0.9987000226974487,"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":0.9975000023841858,"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":0.9054046273231506},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7708135843276978},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.622600257396698},{"id":"https://openalex.org/keywords/subtraction","display_name":"Subtraction","score":0.5942240953445435},{"id":"https://openalex.org/keywords/limiting","display_name":"Limiting","score":0.5880858898162842},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5863486528396606},{"id":"https://openalex.org/keywords/focus","display_name":"Focus (optics)","score":0.5319673418998718},{"id":"https://openalex.org/keywords/latency","display_name":"Latency (audio)","score":0.5160936713218689},{"id":"https://openalex.org/keywords/speedup","display_name":"Speedup","score":0.4555779993534088},{"id":"https://openalex.org/keywords/real-time-computing","display_name":"Real-time computing","score":0.35549604892730713},{"id":"https://openalex.org/keywords/pixel","display_name":"Pixel","score":0.16444134712219238},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.09294396638870239},{"id":"https://openalex.org/keywords/parallel-computing","display_name":"Parallel computing","score":0.08674338459968567},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.08244979381561279}],"concepts":[{"id":"https://openalex.org/C32653426","wikidata":"https://www.wikidata.org/wiki/Q3813641","display_name":"Background subtraction","level":3,"score":0.9054046273231506},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7708135843276978},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.622600257396698},{"id":"https://openalex.org/C68060419","wikidata":"https://www.wikidata.org/wiki/Q40754","display_name":"Subtraction","level":2,"score":0.5942240953445435},{"id":"https://openalex.org/C188198153","wikidata":"https://www.wikidata.org/wiki/Q1613840","display_name":"Limiting","level":2,"score":0.5880858898162842},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5863486528396606},{"id":"https://openalex.org/C192209626","wikidata":"https://www.wikidata.org/wiki/Q190909","display_name":"Focus (optics)","level":2,"score":0.5319673418998718},{"id":"https://openalex.org/C82876162","wikidata":"https://www.wikidata.org/wiki/Q17096504","display_name":"Latency (audio)","level":2,"score":0.5160936713218689},{"id":"https://openalex.org/C68339613","wikidata":"https://www.wikidata.org/wiki/Q1549489","display_name":"Speedup","level":2,"score":0.4555779993534088},{"id":"https://openalex.org/C79403827","wikidata":"https://www.wikidata.org/wiki/Q3988","display_name":"Real-time computing","level":1,"score":0.35549604892730713},{"id":"https://openalex.org/C160633673","wikidata":"https://www.wikidata.org/wiki/Q355198","display_name":"Pixel","level":2,"score":0.16444134712219238},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.09294396638870239},{"id":"https://openalex.org/C173608175","wikidata":"https://www.wikidata.org/wiki/Q232661","display_name":"Parallel computing","level":1,"score":0.08674338459968567},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.08244979381561279},{"id":"https://openalex.org/C94375191","wikidata":"https://www.wikidata.org/wiki/Q11205","display_name":"Arithmetic","level":1,"score":0.0},{"id":"https://openalex.org/C78519656","wikidata":"https://www.wikidata.org/wiki/Q101333","display_name":"Mechanical engineering","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/C120665830","wikidata":"https://www.wikidata.org/wiki/Q14620","display_name":"Optics","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}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/acpr.2015.7486475","is_oa":false,"landing_page_url":"https://doi.org/10.1109/acpr.2015.7486475","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2015 3rd IAPR Asian Conference on Pattern Recognition (ACPR)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":19,"referenced_works":["https://openalex.org/W1499877760","https://openalex.org/W1506806321","https://openalex.org/W1972798772","https://openalex.org/W2049633694","https://openalex.org/W2065441822","https://openalex.org/W2075092412","https://openalex.org/W2082834618","https://openalex.org/W2096989099","https://openalex.org/W2100529712","https://openalex.org/W2102625004","https://openalex.org/W2130293653","https://openalex.org/W2147558395","https://openalex.org/W2148197091","https://openalex.org/W2152565110","https://openalex.org/W2153168647","https://openalex.org/W2164884584","https://openalex.org/W3210232381","https://openalex.org/W4237743494","https://openalex.org/W4248936881"],"related_works":["https://openalex.org/W2058965144","https://openalex.org/W2164382479","https://openalex.org/W2146343568","https://openalex.org/W98480971","https://openalex.org/W2150291671","https://openalex.org/W2013643406","https://openalex.org/W2027972911","https://openalex.org/W2157978810","https://openalex.org/W2597809628","https://openalex.org/W3100796443"],"abstract_inverted_index":{"Observing":[0],"the":[1,24,31,35,61,65,85,90,93],"world":[2],"in":[3,64,81,92],"high":[4],"speed":[5],"can":[6],"give":[7],"rise":[8],"to":[9,58],"systems":[10],"for":[11],"e.g.,":[12],"tracking":[13],"with":[14,30],"super-human":[15],"capabilities":[16],"or":[17],"extremely":[18],"low":[19],"latency":[20],"human-computer":[21],"interaction.":[22],"However,":[23],"demand":[25],"on":[26,60,71],"computational":[27],"power":[28],"grows":[29],"increased":[32],"framerate,":[33],"limiting":[34],"usefulness":[36],"of":[37],"such":[38],"systems.":[39],"In":[40],"this":[41],"paper":[42],"we":[43],"propose":[44],"a":[45],"background":[46,78],"subtraction":[47,79],"method":[48,87],"aimed":[49],"at":[50],"high-speed":[51,72,82],"video":[52,73],"which":[53],"enables":[54],"higher":[55],"level":[56],"algorithms":[57],"focus":[59],"interesting":[62],"regions":[63],"image.":[66,94],"We":[67],"show":[68],"through":[69],"experiments":[70],"that":[74],"where":[75],"using":[76],"conventional":[77],"methods":[80],"videos":[83],"fail,":[84],"proposed":[86],"successfully":[88],"detects":[89],"foreground":[91]},"counts_by_year":[],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
