{"id":"https://openalex.org/W2061870229","doi":"https://doi.org/10.1109/dicta.2012.6411667","title":"Background Subtraction Using Global Textures","display_name":"Background Subtraction Using Global Textures","publication_year":2012,"publication_date":"2012-12-01","ids":{"openalex":"https://openalex.org/W2061870229","doi":"https://doi.org/10.1109/dicta.2012.6411667","mag":"2061870229"},"language":"en","primary_location":{"id":"doi:10.1109/dicta.2012.6411667","is_oa":false,"landing_page_url":"https://doi.org/10.1109/dicta.2012.6411667","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2012 International Conference on Digital Image Computing Techniques and Applications (DICTA)","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/A5061457267","display_name":"Tristrom Cooke","orcid":null},"institutions":[{"id":"https://openalex.org/I1303474014","display_name":"Defence Science and Technology Group","ror":"https://ror.org/05ddrvt52","country_code":"AU","type":"funder","lineage":["https://openalex.org/I1303474014","https://openalex.org/I2801453606","https://openalex.org/I3139952251"]}],"countries":["AU"],"is_corresponding":true,"raw_author_name":"Tristrom Cooke","raw_affiliation_strings":["ISR Division, Technology Organisation, Edinburgh, SA, Australia","ISR Div., Defence Sci. & Technol. Organ., Edinburgh, SA, Australia"],"affiliations":[{"raw_affiliation_string":"ISR Division, Technology Organisation, Edinburgh, SA, Australia","institution_ids":["https://openalex.org/I1303474014"]},{"raw_affiliation_string":"ISR Div., Defence Sci. & Technol. Organ., Edinburgh, SA, Australia","institution_ids":["https://openalex.org/I1303474014"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":["https://openalex.org/A5061457267"],"corresponding_institution_ids":["https://openalex.org/I1303474014"],"apc_list":null,"apc_paid":null,"fwci":0.2745,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.57941993,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":94},"biblio":{"volume":"4","issue":null,"first_page":"1","last_page":"7"},"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/T11019","display_name":"Image Enhancement Techniques","score":0.998199999332428,"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":0.9980999827384949,"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":0.9119263291358948},{"id":"https://openalex.org/keywords/pixel","display_name":"Pixel","score":0.8393658399581909},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.7463204860687256},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.7402231097221375},{"id":"https://openalex.org/keywords/ground-truth","display_name":"Ground truth","score":0.6401704549789429},{"id":"https://openalex.org/keywords/texture","display_name":"Texture (cosmology)","score":0.6021733283996582},{"id":"https://openalex.org/keywords/image-texture","display_name":"Image texture","score":0.5833494067192078},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5788399577140808},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.5082983374595642},{"id":"https://openalex.org/keywords/frame","display_name":"Frame (networking)","score":0.4456162452697754},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.43000149726867676},{"id":"https://openalex.org/keywords/image-subtraction","display_name":"Image subtraction","score":0.4222487211227417},{"id":"https://openalex.org/keywords/background-image","display_name":"Background image","score":0.41375818848609924},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.3768600523471832},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.3487387001514435},{"id":"https://openalex.org/keywords/image-processing","display_name":"Image processing","score":0.28067725896835327},{"id":"https://openalex.org/keywords/binary-image","display_name":"Binary image","score":0.1250322163105011}],"concepts":[{"id":"https://openalex.org/C32653426","wikidata":"https://www.wikidata.org/wiki/Q3813641","display_name":"Background subtraction","level":3,"score":0.9119263291358948},{"id":"https://openalex.org/C160633673","wikidata":"https://www.wikidata.org/wiki/Q355198","display_name":"Pixel","level":2,"score":0.8393658399581909},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7463204860687256},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.7402231097221375},{"id":"https://openalex.org/C146849305","wikidata":"https://www.wikidata.org/wiki/Q370766","display_name":"Ground truth","level":2,"score":0.6401704549789429},{"id":"https://openalex.org/C2781195486","wikidata":"https://www.wikidata.org/wiki/Q289436","display_name":"Texture (cosmology)","level":3,"score":0.6021733283996582},{"id":"https://openalex.org/C63099799","wikidata":"https://www.wikidata.org/wiki/Q17147001","display_name":"Image texture","level":4,"score":0.5833494067192078},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5788399577140808},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.5082983374595642},{"id":"https://openalex.org/C126042441","wikidata":"https://www.wikidata.org/wiki/Q1324888","display_name":"Frame (networking)","level":2,"score":0.4456162452697754},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.43000149726867676},{"id":"https://openalex.org/C37672646","wikidata":"https://www.wikidata.org/wiki/Q6002283","display_name":"Image subtraction","level":5,"score":0.4222487211227417},{"id":"https://openalex.org/C3019635856","wikidata":"https://www.wikidata.org/wiki/Q1619726","display_name":"Background image","level":3,"score":0.41375818848609924},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.3768600523471832},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3487387001514435},{"id":"https://openalex.org/C9417928","wikidata":"https://www.wikidata.org/wiki/Q1070689","display_name":"Image processing","level":3,"score":0.28067725896835327},{"id":"https://openalex.org/C193828747","wikidata":"https://www.wikidata.org/wiki/Q864118","display_name":"Binary image","level":4,"score":0.1250322163105011},{"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/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/dicta.2012.6411667","is_oa":false,"landing_page_url":"https://doi.org/10.1109/dicta.2012.6411667","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2012 International Conference on Digital Image Computing Techniques and Applications (DICTA)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Life below water","id":"https://metadata.un.org/sdg/14","score":0.8799999952316284}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":18,"referenced_works":["https://openalex.org/W1528144695","https://openalex.org/W1558187731","https://openalex.org/W2046852638","https://openalex.org/W2065441822","https://openalex.org/W2065533005","https://openalex.org/W2067348009","https://openalex.org/W2069057506","https://openalex.org/W2095581126","https://openalex.org/W2098305432","https://openalex.org/W2101223341","https://openalex.org/W2102625004","https://openalex.org/W2115352131","https://openalex.org/W2136396015","https://openalex.org/W2141572457","https://openalex.org/W2151928481","https://openalex.org/W4237743494","https://openalex.org/W6631760055","https://openalex.org/W6633553626"],"related_works":["https://openalex.org/W2013855924","https://openalex.org/W4251986860","https://openalex.org/W2002094820","https://openalex.org/W1934883969","https://openalex.org/W1975008161","https://openalex.org/W2375321927","https://openalex.org/W2381380858","https://openalex.org/W2711921055","https://openalex.org/W2010623741","https://openalex.org/W2022276948"],"abstract_inverted_index":{"This":[0],"paper":[1],"describes":[2,43],"a":[3,16,37,69,75,79,134,156,167,199],"new":[4],"background":[5,20,55,172],"subtraction":[6],"method":[7,205],"for":[8,24,67,85],"detecting":[9],"moving":[10],"foreground":[11,191],"objects":[12],"in":[13,140],"video":[14,179],"from":[15,181],"static":[17],"camera.":[18],"The":[19,170],"model":[21,173],"assumes":[22],"that":[23],"each":[25,129,149,158],"frame,":[26],"every":[27],"pixel":[28,70,130,201],"is":[29,51,56,65,72,90,131,174,196],"described":[30],"as":[31,133,139],"either":[32,91,163],"an":[33,48,152,164],"image":[34,41,153,165],"patch,":[35],"or":[36,96,166],"texture":[38,63,117,168],"patch.":[39,169],"An":[40],"patch":[42,64],"the":[44,54,87,100,103,116,124,141,177,182,189,194,203,209],"local":[45,88],"appearance":[46,89],"of":[47,59,74,82,102,137,148],"image,":[49],"and":[50,58,143,186],"suitable":[52],"when":[53],"structured":[57],"fixed":[60],"appearance.":[61],"A":[62],"useful":[66],"describing":[68],"which":[71,86],"part":[73],"larger":[76],"region":[77],"containing":[78],"consistent":[80],"patterning":[81],"pixels,":[83],"but":[84],"indistinct":[92],"(e.g.":[93,99],"uniform":[94],"regions),":[95],"time":[97],"varying":[98],"surface":[101],"sea).":[104],"Textures":[105],"tend":[106],"to":[107,109,162,176,188],"correspond":[108],"regions":[110],"rather":[111],"than":[112,208],"specific":[113],"locations,":[114],"so":[115],"descriptions":[118],"are":[119],"calculated":[120],"globally":[121],"(i.e.":[122],"over":[123],"entire":[125],"image).":[126],"Over":[127],"time,":[128],"represented":[132],"weighted":[135],"mixture":[136],"modes,":[138],"Stauffer":[142],"Grimson":[144],"method.":[145],"But":[146],"instead":[147],"mode":[150,159],"being":[151],"intensity":[154],"with":[155],"variance,":[157],"now":[160],"corresponds":[161],"proposed":[171,204],"applied":[175],"nine":[178],"sequences":[180],"I2R":[183],"data":[184],"set,":[185],"compared":[187],"provided":[190],"ground-truth.":[192],"When":[193],"error":[195],"measured":[197],"on":[198],"per":[200],"basis,":[202],"performs":[206],"better":[207],"alternative":[210],"methods":[211],"tested.":[212]},"counts_by_year":[{"year":2015,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}