{"id":"https://openalex.org/W2044724620","doi":"https://doi.org/10.1109/iccvw.2009.5457577","title":"A Simple and efficient saliency detector for background subtraction","display_name":"A Simple and efficient saliency detector for background subtraction","publication_year":2009,"publication_date":"2009-09-01","ids":{"openalex":"https://openalex.org/W2044724620","doi":"https://doi.org/10.1109/iccvw.2009.5457577","mag":"2044724620"},"language":"en","primary_location":{"id":"doi:10.1109/iccvw.2009.5457577","is_oa":false,"landing_page_url":"https://doi.org/10.1109/iccvw.2009.5457577","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2009 IEEE 12th International Conference on Computer Vision Workshops, ICCV Workshops","raw_type":"proceedings-article"},"type":"conference-paper","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/A5088180438","display_name":"Esa Rahtu","orcid":"https://orcid.org/0000-0001-8767-0864"},"institutions":[{"id":"https://openalex.org/I98381234","display_name":"University of Oulu","ror":"https://ror.org/03yj89h83","country_code":"FI","type":"education","lineage":["https://openalex.org/I98381234"]}],"countries":["FI"],"is_corresponding":false,"raw_author_name":"Esa Rahtu","raw_affiliation_strings":["Machine Vision Group, University of Oulu, Finland","Machine Vision Group, University of Oulu, Finland#TAB#"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Machine Vision Group, University of Oulu, Finland","institution_ids":["https://openalex.org/I98381234"]},{"raw_affiliation_string":"Machine Vision Group, University of Oulu, Finland#TAB#","institution_ids":["https://openalex.org/I98381234"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5072890921","display_name":"Janne Heikkil\u00e4","orcid":"https://orcid.org/0000-0003-0073-0866"},"institutions":[{"id":"https://openalex.org/I98381234","display_name":"University of Oulu","ror":"https://ror.org/03yj89h83","country_code":"FI","type":"education","lineage":["https://openalex.org/I98381234"]}],"countries":["FI"],"is_corresponding":false,"raw_author_name":"Janne Heikkila","raw_affiliation_strings":["Machine Vision Group, University of Oulu, Finland","Machine Vision Group, University of Oulu, Finland#TAB#"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Machine Vision Group, University of Oulu, Finland","institution_ids":["https://openalex.org/I98381234"]},{"raw_affiliation_string":"Machine Vision Group, University of Oulu, Finland#TAB#","institution_ids":["https://openalex.org/I98381234"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I98381234"],"apc_list":null,"apc_paid":null,"fwci":2.9498,"has_fulltext":false,"cited_by_count":48,"citation_normalized_percentile":{"value":0.93172672,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":89,"max":99},"biblio":{"volume":null,"issue":null,"first_page":"1137","last_page":"1144"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11605","display_name":"Visual Attention and Saliency Detection","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/T11605","display_name":"Visual Attention and Saliency Detection","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/T10331","display_name":"Video Surveillance and Tracking Methods","score":0.9991999864578247,"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":0.9987000226974487,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/background-subtraction","display_name":"Background subtraction","score":0.8878010511398315},{"id":"https://openalex.org/keywords/histogram","display_name":"Histogram","score":0.7935571670532227},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7298585176467896},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.7117487788200378},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.6520668268203735},{"id":"https://openalex.org/keywords/segmentation","display_name":"Segmentation","score":0.6508344411849976},{"id":"https://openalex.org/keywords/detector","display_name":"Detector","score":0.6354058384895325},{"id":"https://openalex.org/keywords/subtraction","display_name":"Subtraction","score":0.5554691553115845},{"id":"https://openalex.org/keywords/object-detection","display_name":"Object detection","score":0.5235585570335388},{"id":"https://openalex.org/keywords/salient","display_name":"Salient","score":0.5213281512260437},{"id":"https://openalex.org/keywords/sliding-window-protocol","display_name":"Sliding window protocol","score":0.48037394881248474},{"id":"https://openalex.org/keywords/image-segmentation","display_name":"Image segmentation","score":0.4520440697669983},{"id":"https://openalex.org/keywords/simple","display_name":"Simple (philosophy)","score":0.4243735671043396},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.42358121275901794},{"id":"https://openalex.org/keywords/window","display_name":"Window (computing)","score":0.3880780041217804},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.3434531092643738},{"id":"https://openalex.org/keywords/pixel","display_name":"Pixel","score":0.25572264194488525},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.19337546825408936}],"concepts":[{"id":"https://openalex.org/C32653426","wikidata":"https://www.wikidata.org/wiki/Q3813641","display_name":"Background subtraction","level":3,"score":0.8878010511398315},{"id":"https://openalex.org/C53533937","wikidata":"https://www.wikidata.org/wiki/Q185020","display_name":"Histogram","level":3,"score":0.7935571670532227},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7298585176467896},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7117487788200378},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.6520668268203735},{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.6508344411849976},{"id":"https://openalex.org/C94915269","wikidata":"https://www.wikidata.org/wiki/Q1834857","display_name":"Detector","level":2,"score":0.6354058384895325},{"id":"https://openalex.org/C68060419","wikidata":"https://www.wikidata.org/wiki/Q40754","display_name":"Subtraction","level":2,"score":0.5554691553115845},{"id":"https://openalex.org/C2776151529","wikidata":"https://www.wikidata.org/wiki/Q3045304","display_name":"Object detection","level":3,"score":0.5235585570335388},{"id":"https://openalex.org/C2780719617","wikidata":"https://www.wikidata.org/wiki/Q1030752","display_name":"Salient","level":2,"score":0.5213281512260437},{"id":"https://openalex.org/C102392041","wikidata":"https://www.wikidata.org/wiki/Q592860","display_name":"Sliding window protocol","level":3,"score":0.48037394881248474},{"id":"https://openalex.org/C124504099","wikidata":"https://www.wikidata.org/wiki/Q56933","display_name":"Image segmentation","level":3,"score":0.4520440697669983},{"id":"https://openalex.org/C2780586882","wikidata":"https://www.wikidata.org/wiki/Q7520643","display_name":"Simple (philosophy)","level":2,"score":0.4243735671043396},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.42358121275901794},{"id":"https://openalex.org/C2778751112","wikidata":"https://www.wikidata.org/wiki/Q835016","display_name":"Window (computing)","level":2,"score":0.3880780041217804},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.3434531092643738},{"id":"https://openalex.org/C160633673","wikidata":"https://www.wikidata.org/wiki/Q355198","display_name":"Pixel","level":2,"score":0.25572264194488525},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.19337546825408936},{"id":"https://openalex.org/C111472728","wikidata":"https://www.wikidata.org/wiki/Q9471","display_name":"Epistemology","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/C94375191","wikidata":"https://www.wikidata.org/wiki/Q11205","display_name":"Arithmetic","level":1,"score":0.0},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/iccvw.2009.5457577","is_oa":false,"landing_page_url":"https://doi.org/10.1109/iccvw.2009.5457577","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2009 IEEE 12th International Conference on Computer Vision Workshops, ICCV Workshops","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[{"id":"https://openalex.org/F4320321108","display_name":"Academy of Finland","ror":"https://ror.org/05k73zm37"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":22,"referenced_works":["https://openalex.org/W1499877760","https://openalex.org/W1549083695","https://openalex.org/W1872412942","https://openalex.org/W2072145684","https://openalex.org/W2078132377","https://openalex.org/W2096309046","https://openalex.org/W2098305432","https://openalex.org/W2102625004","https://openalex.org/W2109258005","https://openalex.org/W2110717643","https://openalex.org/W2128272608","https://openalex.org/W2146103513","https://openalex.org/W2149077040","https://openalex.org/W2161542313","https://openalex.org/W2161969291","https://openalex.org/W2166978545","https://openalex.org/W2167403408","https://openalex.org/W2170869852","https://openalex.org/W6629695367","https://openalex.org/W6632640995","https://openalex.org/W6684556040","https://openalex.org/W6685314622"],"related_works":["https://openalex.org/W2188430267","https://openalex.org/W2610698896","https://openalex.org/W2369265144","https://openalex.org/W2329500892","https://openalex.org/W28439884","https://openalex.org/W3158447592","https://openalex.org/W2112097167","https://openalex.org/W2142173439","https://openalex.org/W3100796443","https://openalex.org/W2400994047"],"abstract_inverted_index":{"In":[0],"this":[1],"paper":[2],"we":[3,97,125],"present":[4],"a":[5,51],"simple":[6],"and":[7,61,83,96,141,154],"computationally":[8],"efficient":[9],"method":[10,18,102],"for":[11],"detecting":[12],"visually":[13],"salient":[14],"areas.":[15],"The":[16,47,77],"proposed":[17,101],"is":[19,103,112,118],"based":[20],"on":[21],"searching":[22],"image":[23],"segments":[24],"whose":[25],"intensity":[26,34,67],"values":[27],"are":[28,63,70,126,133],"more":[29],"accurately":[30],"described":[31],"by":[32],"the":[33,37,41,44,56,59,100,107,110,116,147,157],"distribution":[35,42],"of":[36,43,58],"object":[38],"compared":[39],"to":[40,128],"surrounding":[45],"area.":[46],"practical":[48],"implementation":[49],"applies":[50],"sliding":[52],"window":[53],"approach,":[54],"where":[55,109],"distributions":[57],"objects":[60],"surroundings":[62],"estimated":[64],"using":[65,73,122],"semi-local":[66],"histograms":[68],"that":[69,99,132,146],"efficiently":[71],"evaluated":[72],"integral":[74],"histogram":[75],"approach.":[76],"introduced":[78,148],"approach":[79,124,149],"requires":[80],"no":[81,84],"training":[82],"additional":[85],"segmentation":[86],"algorithms.":[87],"Saliency":[88],"detection":[89],"can":[90],"be":[91],"used":[92],"in":[93,106,151],"background":[94,142],"subtraction":[95,143],"show":[98],"especially":[104],"effective":[105],"case":[108],"scene":[111],"highly":[113],"dynamic":[114],"or":[115],"camera":[117],"not":[119,134],"still.":[120],"Furthermore":[121],"our":[123],"able":[127],"detect":[129],"also":[130],"targets":[131],"moving.":[135],"Comparisons":[136],"with":[137],"state-of-the-art":[138],"saliency":[139],"detectors":[140],"techniques":[144],"indicate":[145],"results":[150],"high":[152],"performance":[153],"accuracy,":[155],"outperforming":[156],"reference":[158],"methods.":[159]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2021,"cited_by_count":1},{"year":2020,"cited_by_count":1},{"year":2019,"cited_by_count":5},{"year":2018,"cited_by_count":5},{"year":2017,"cited_by_count":8},{"year":2016,"cited_by_count":8},{"year":2015,"cited_by_count":5},{"year":2014,"cited_by_count":1},{"year":2013,"cited_by_count":2},{"year":2012,"cited_by_count":5}],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2025-10-10T00:00:00"}