{"id":"https://openalex.org/W2105230949","doi":"https://doi.org/10.1109/cvpr.2009.5206857","title":"Learning color and locality cues for moving object detection and segmentation","display_name":"Learning color and locality cues for moving object detection and segmentation","publication_year":2009,"publication_date":"2009-06-01","ids":{"openalex":"https://openalex.org/W2105230949","doi":"https://doi.org/10.1109/cvpr.2009.5206857","mag":"2105230949"},"language":"en","primary_location":{"id":"doi:10.1109/cvpr.2009.5206857","is_oa":false,"landing_page_url":"https://doi.org/10.1109/cvpr.2009.5206857","pdf_url":null,"source":{"id":"https://openalex.org/S4363607795","display_name":"2009 IEEE Conference on Computer Vision and Pattern Recognition","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2009 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/A5100415287","display_name":"Feng Liu","orcid":"https://orcid.org/0000-0002-5399-6214"},"institutions":[{"id":"https://openalex.org/I135310074","display_name":"University of Wisconsin\u2013Madison","ror":"https://ror.org/01y2jtd41","country_code":"US","type":"education","lineage":["https://openalex.org/I135310074"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Feng Liu","raw_affiliation_strings":["Department of Computer Sciences, University of Wisconsin, Madison, Madison, WI, USA","[Department of Computer Science, University of Wisconsin\u2013Madison, Madison, WI, USA]"],"affiliations":[{"raw_affiliation_string":"Department of Computer Sciences, University of Wisconsin, Madison, Madison, WI, USA","institution_ids":["https://openalex.org/I135310074"]},{"raw_affiliation_string":"[Department of Computer Science, University of Wisconsin\u2013Madison, Madison, WI, USA]","institution_ids":["https://openalex.org/I135310074"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5084778474","display_name":"Michael Gleicher","orcid":"https://orcid.org/0000-0003-3295-4071"},"institutions":[{"id":"https://openalex.org/I135310074","display_name":"University of Wisconsin\u2013Madison","ror":"https://ror.org/01y2jtd41","country_code":"US","type":"education","lineage":["https://openalex.org/I135310074"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Michael Gleicher","raw_affiliation_strings":["Department of Computer Sciences, University of Wisconsin, Madison, Madison, WI, USA","[Department of Computer Science, University of Wisconsin\u2013Madison, Madison, WI, USA]"],"affiliations":[{"raw_affiliation_string":"Department of Computer Sciences, University of Wisconsin, Madison, Madison, WI, USA","institution_ids":["https://openalex.org/I135310074"]},{"raw_affiliation_string":"[Department of Computer Science, University of Wisconsin\u2013Madison, Madison, WI, USA]","institution_ids":["https://openalex.org/I135310074"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5100415287"],"corresponding_institution_ids":["https://openalex.org/I135310074"],"apc_list":null,"apc_paid":null,"fwci":1.6174,"has_fulltext":false,"cited_by_count":40,"citation_normalized_percentile":{"value":0.85876721,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":99},"biblio":{"volume":null,"issue":null,"first_page":"320","last_page":"327"},"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/T10812","display_name":"Human Pose and Action Recognition","score":0.9994000196456909,"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":0.9990000128746033,"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/artificial-intelligence","display_name":"Artificial intelligence","score":0.8903247117996216},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.8477121591567993},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7216624021530151},{"id":"https://openalex.org/keywords/segmentation","display_name":"Segmentation","score":0.5320262312889099},{"id":"https://openalex.org/keywords/object","display_name":"Object (grammar)","score":0.5038830637931824},{"id":"https://openalex.org/keywords/object-detection","display_name":"Object detection","score":0.5036899447441101},{"id":"https://openalex.org/keywords/image-segmentation","display_name":"Image segmentation","score":0.4965255856513977},{"id":"https://openalex.org/keywords/locality","display_name":"Locality","score":0.4841247498989105},{"id":"https://openalex.org/keywords/markov-random-field","display_name":"Markov random field","score":0.4370279312133789},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.3896980285644531}],"concepts":[{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.8903247117996216},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.8477121591567993},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7216624021530151},{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.5320262312889099},{"id":"https://openalex.org/C2781238097","wikidata":"https://www.wikidata.org/wiki/Q175026","display_name":"Object (grammar)","level":2,"score":0.5038830637931824},{"id":"https://openalex.org/C2776151529","wikidata":"https://www.wikidata.org/wiki/Q3045304","display_name":"Object detection","level":3,"score":0.5036899447441101},{"id":"https://openalex.org/C124504099","wikidata":"https://www.wikidata.org/wiki/Q56933","display_name":"Image segmentation","level":3,"score":0.4965255856513977},{"id":"https://openalex.org/C2779808786","wikidata":"https://www.wikidata.org/wiki/Q6664603","display_name":"Locality","level":2,"score":0.4841247498989105},{"id":"https://openalex.org/C2778045648","wikidata":"https://www.wikidata.org/wiki/Q176827","display_name":"Markov random field","level":4,"score":0.4370279312133789},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3896980285644531},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/cvpr.2009.5206857","is_oa":false,"landing_page_url":"https://doi.org/10.1109/cvpr.2009.5206857","pdf_url":null,"source":{"id":"https://openalex.org/S4363607795","display_name":"2009 IEEE Conference on Computer Vision and Pattern Recognition","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2009 IEEE Conference on Computer Vision and Pattern Recognition","raw_type":"proceedings-article"},{"id":"pmh:oai:CiteSeerX.psu:10.1.1.216.9593","is_oa":false,"landing_page_url":"http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.216.9593","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"http://www.cs.wisc.edu/graphics/Papers/Gleicher/fliu/CVPR2009.pdf","raw_type":"text"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":31,"referenced_works":["https://openalex.org/W79749824","https://openalex.org/W1490482062","https://openalex.org/W1972851400","https://openalex.org/W2028898347","https://openalex.org/W2085261163","https://openalex.org/W2098305432","https://openalex.org/W2098678088","https://openalex.org/W2101309634","https://openalex.org/W2101849132","https://openalex.org/W2106596127","https://openalex.org/W2118143383","https://openalex.org/W2119958126","https://openalex.org/W2125480112","https://openalex.org/W2125951956","https://openalex.org/W2130196291","https://openalex.org/W2140020980","https://openalex.org/W2140789035","https://openalex.org/W2143516773","https://openalex.org/W2146943382","https://openalex.org/W2147732868","https://openalex.org/W2151103935","https://openalex.org/W2155082998","https://openalex.org/W2158145345","https://openalex.org/W2165949425","https://openalex.org/W2487225473","https://openalex.org/W2914976302","https://openalex.org/W4206610958","https://openalex.org/W6657633457","https://openalex.org/W6680866351","https://openalex.org/W6681977022","https://openalex.org/W6759892742"],"related_works":["https://openalex.org/W4233585817","https://openalex.org/W1522196789","https://openalex.org/W2016045932","https://openalex.org/W1675950995","https://openalex.org/W2188882668","https://openalex.org/W2086619084","https://openalex.org/W2004379491","https://openalex.org/W2083140487","https://openalex.org/W2035045952","https://openalex.org/W2356314591"],"abstract_inverted_index":{"This":[0],"paper":[1],"presents":[2],"an":[3,61,107],"algorithm":[4,63],"for":[5],"automatically":[6],"detecting":[7],"and":[8,18,54,68,85,156,174],"segmenting":[9,19],"a":[10,14,20,24,96,111,163,170],"moving":[11,21,42,88,129,146],"object":[12,22,28,50,66,147,173],"from":[13,23,71],"monocular":[15],"video.":[16],"Detecting":[17],"video":[25],"with":[26,81,124,159,169],"limited":[27],"motion":[29,38,51,74,83,93,160,176],"is":[30,52,149],"challenging.":[31],"Since":[32],"existing":[33],"automatic":[34],"algorithms":[35],"rely":[36],"on":[37,91,167],"to":[39,64,127,138],"detect":[40,78],"the":[41,49,72,118,128,131,178],"object,":[43],"they":[44],"cannot":[45],"work":[46],"well":[47],"when":[48],"sparse":[53,73],"insufficient.":[55],"In":[56],"this":[57,181],"paper,":[58],"we":[59,105],"present":[60],"unsupervised":[62],"learn":[65,106],"color":[67,112,126,155],"locality":[69,142,157],"cues":[70,84,94,158,161],"information.":[75],"We":[76],"first":[77],"key":[79],"frames":[80,140],"reliable":[82],"then":[86],"estimate":[87],"sub-objects":[89,135],"based":[90],"these":[92,103,134,153],"using":[95],"Markov":[97],"Random":[98],"Field":[99],"(MRF)":[100],"framework.":[101,165],"From":[102],"sub-objects,":[104],"appearance":[108],"model":[109],"as":[110,141],"Gaussian":[113],"Mixture":[114],"Model.":[115],"To":[116],"avoid":[117],"false":[119],"classification":[120],"of":[121,133,172,180],"background":[122],"pixels":[123],"similar":[125],"objects,":[130],"locations":[132],"are":[136],"propagated":[137],"neighboring":[139],"cues.":[143],"Finally,":[144],"robust":[145],"segmentation":[148],"achieved":[150],"by":[151],"combining":[152],"learned":[154],"in":[162],"MRF":[164],"Experiments":[166],"videos":[168],"variety":[171],"camera":[175],"demonstrate":[177],"effectiveness":[179],"algorithm.":[182]},"counts_by_year":[{"year":2024,"cited_by_count":1},{"year":2018,"cited_by_count":5},{"year":2017,"cited_by_count":3},{"year":2016,"cited_by_count":3},{"year":2015,"cited_by_count":4},{"year":2014,"cited_by_count":6},{"year":2013,"cited_by_count":5},{"year":2012,"cited_by_count":4}],"updated_date":"2026-04-05T17:49:38.594831","created_date":"2025-10-10T00:00:00"}
