{"id":"https://openalex.org/W2141974423","doi":"https://doi.org/10.1109/cvprw.2006.132","title":"Moving Object Segmentation using Scene Understanding","display_name":"Moving Object Segmentation using Scene Understanding","publication_year":2006,"publication_date":"2006-07-10","ids":{"openalex":"https://openalex.org/W2141974423","doi":"https://doi.org/10.1109/cvprw.2006.132","mag":"2141974423"},"language":"en","primary_location":{"id":"doi:10.1109/cvprw.2006.132","is_oa":false,"landing_page_url":"https://doi.org/10.1109/cvprw.2006.132","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2006 Conference on Computer Vision and Pattern Recognition Workshop (CVPRW'06)","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/A5109074169","display_name":"A. G. Amitha Perera","orcid":null},"institutions":[{"id":"https://openalex.org/I4210134512","display_name":"GE Global Research (United States)","ror":"https://ror.org/03e06qt98","country_code":"US","type":"company","lineage":["https://openalex.org/I4210134512"]},{"id":"https://openalex.org/I1332737386","display_name":"General Electric (United States)","ror":"https://ror.org/013msgt25","country_code":"US","type":"company","lineage":["https://openalex.org/I1332737386"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"A.G.A. Perera","raw_affiliation_strings":["GE Global Research Center, Niskayuna, NY, USA","GE Global Research, One Research Circle, Niskayuna, New York#TAB#"],"affiliations":[{"raw_affiliation_string":"GE Global Research Center, Niskayuna, NY, USA","institution_ids":["https://openalex.org/I4210134512"]},{"raw_affiliation_string":"GE Global Research, One Research Circle, Niskayuna, New York#TAB#","institution_ids":["https://openalex.org/I1332737386"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5024380501","display_name":"Glen W. Brooksby","orcid":null},"institutions":[{"id":"https://openalex.org/I4210134512","display_name":"GE Global Research (United States)","ror":"https://ror.org/03e06qt98","country_code":"US","type":"company","lineage":["https://openalex.org/I4210134512"]},{"id":"https://openalex.org/I1332737386","display_name":"General Electric (United States)","ror":"https://ror.org/013msgt25","country_code":"US","type":"company","lineage":["https://openalex.org/I1332737386"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"G. Brooksby","raw_affiliation_strings":["GE Global Research Center, Niskayuna, NY, USA","GE Global Research, One Research Circle, Niskayuna, New York#TAB#"],"affiliations":[{"raw_affiliation_string":"GE Global Research Center, Niskayuna, NY, USA","institution_ids":["https://openalex.org/I4210134512"]},{"raw_affiliation_string":"GE Global Research, One Research Circle, Niskayuna, New York#TAB#","institution_ids":["https://openalex.org/I1332737386"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5033278948","display_name":"Anthony Hoogs","orcid":null},"institutions":[{"id":"https://openalex.org/I1332737386","display_name":"General Electric (United States)","ror":"https://ror.org/013msgt25","country_code":"US","type":"company","lineage":["https://openalex.org/I1332737386"]},{"id":"https://openalex.org/I4210134512","display_name":"GE Global Research (United States)","ror":"https://ror.org/03e06qt98","country_code":"US","type":"company","lineage":["https://openalex.org/I4210134512"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"A. Hoogs","raw_affiliation_strings":["GE Global Research Center, Niskayuna, NY, USA","GE Global Research, One Research Circle, Niskayuna, New York#TAB#"],"affiliations":[{"raw_affiliation_string":"GE Global Research Center, Niskayuna, NY, USA","institution_ids":["https://openalex.org/I4210134512"]},{"raw_affiliation_string":"GE Global Research, One Research Circle, Niskayuna, New York#TAB#","institution_ids":["https://openalex.org/I1332737386"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5043587037","display_name":"Gianfranco Doretto","orcid":"https://orcid.org/0000-0002-8921-6646"},"institutions":[{"id":"https://openalex.org/I4210134512","display_name":"GE Global Research (United States)","ror":"https://ror.org/03e06qt98","country_code":"US","type":"company","lineage":["https://openalex.org/I4210134512"]},{"id":"https://openalex.org/I1332737386","display_name":"General Electric (United States)","ror":"https://ror.org/013msgt25","country_code":"US","type":"company","lineage":["https://openalex.org/I1332737386"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"G. Doretto","raw_affiliation_strings":["GE Global Research Center, Niskayuna, NY, USA","GE Global Research, One Research Circle, Niskayuna, New York#TAB#"],"affiliations":[{"raw_affiliation_string":"GE Global Research Center, Niskayuna, NY, USA","institution_ids":["https://openalex.org/I4210134512"]},{"raw_affiliation_string":"GE Global Research, One Research Circle, Niskayuna, New York#TAB#","institution_ids":["https://openalex.org/I1332737386"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5109074169"],"corresponding_institution_ids":["https://openalex.org/I1332737386","https://openalex.org/I4210134512"],"apc_list":null,"apc_paid":null,"fwci":1.5572,"has_fulltext":false,"cited_by_count":13,"citation_normalized_percentile":{"value":0.84416094,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":96},"biblio":{"volume":null,"issue":null,"first_page":"201","last_page":"201"},"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":0.9998999834060669,"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/T10627","display_name":"Advanced Image and Video Retrieval Techniques","score":0.9997000098228455,"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":0.8241106867790222},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.8150166273117065},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7782903909683228},{"id":"https://openalex.org/keywords/homography","display_name":"Homography","score":0.6041387319564819},{"id":"https://openalex.org/keywords/segmentation","display_name":"Segmentation","score":0.6016300916671753},{"id":"https://openalex.org/keywords/frame","display_name":"Frame (networking)","score":0.5837807059288025},{"id":"https://openalex.org/keywords/context","display_name":"Context (archaeology)","score":0.5305968523025513},{"id":"https://openalex.org/keywords/object-detection","display_name":"Object detection","score":0.5182368755340576},{"id":"https://openalex.org/keywords/frame-rate","display_name":"Frame rate","score":0.4800068736076355},{"id":"https://openalex.org/keywords/focus","display_name":"Focus (optics)","score":0.4797731339931488},{"id":"https://openalex.org/keywords/motion-estimation","display_name":"Motion estimation","score":0.42826586961746216},{"id":"https://openalex.org/keywords/image-segmentation","display_name":"Image segmentation","score":0.4277489483356476},{"id":"https://openalex.org/keywords/object","display_name":"Object (grammar)","score":0.41398629546165466},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.13032087683677673}],"concepts":[{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.8241106867790222},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.8150166273117065},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7782903909683228},{"id":"https://openalex.org/C28751775","wikidata":"https://www.wikidata.org/wiki/Q2112539","display_name":"Homography","level":4,"score":0.6041387319564819},{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.6016300916671753},{"id":"https://openalex.org/C126042441","wikidata":"https://www.wikidata.org/wiki/Q1324888","display_name":"Frame (networking)","level":2,"score":0.5837807059288025},{"id":"https://openalex.org/C2779343474","wikidata":"https://www.wikidata.org/wiki/Q3109175","display_name":"Context (archaeology)","level":2,"score":0.5305968523025513},{"id":"https://openalex.org/C2776151529","wikidata":"https://www.wikidata.org/wiki/Q3045304","display_name":"Object detection","level":3,"score":0.5182368755340576},{"id":"https://openalex.org/C3261483","wikidata":"https://www.wikidata.org/wiki/Q119565","display_name":"Frame rate","level":2,"score":0.4800068736076355},{"id":"https://openalex.org/C192209626","wikidata":"https://www.wikidata.org/wiki/Q190909","display_name":"Focus (optics)","level":2,"score":0.4797731339931488},{"id":"https://openalex.org/C10161872","wikidata":"https://www.wikidata.org/wiki/Q557891","display_name":"Motion estimation","level":2,"score":0.42826586961746216},{"id":"https://openalex.org/C124504099","wikidata":"https://www.wikidata.org/wiki/Q56933","display_name":"Image segmentation","level":3,"score":0.4277489483356476},{"id":"https://openalex.org/C2781238097","wikidata":"https://www.wikidata.org/wiki/Q175026","display_name":"Object (grammar)","level":2,"score":0.41398629546165466},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.13032087683677673},{"id":"https://openalex.org/C75280867","wikidata":"https://www.wikidata.org/wiki/Q877775","display_name":"Projective space","level":3,"score":0.0},{"id":"https://openalex.org/C177846678","wikidata":"https://www.wikidata.org/wiki/Q1501864","display_name":"Projective test","level":2,"score":0.0},{"id":"https://openalex.org/C151730666","wikidata":"https://www.wikidata.org/wiki/Q7205","display_name":"Paleontology","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},{"id":"https://openalex.org/C120665830","wikidata":"https://www.wikidata.org/wiki/Q14620","display_name":"Optics","level":1,"score":0.0},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","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/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/cvprw.2006.132","is_oa":false,"landing_page_url":"https://doi.org/10.1109/cvprw.2006.132","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2006 Conference on Computer Vision and Pattern Recognition Workshop (CVPRW'06)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.6200000047683716,"display_name":"Industry, innovation and infrastructure","id":"https://metadata.un.org/sdg/9"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":19,"referenced_works":["https://openalex.org/W1965428565","https://openalex.org/W2032210760","https://openalex.org/W2035235554","https://openalex.org/W2046434485","https://openalex.org/W2067191022","https://openalex.org/W2101290767","https://openalex.org/W2102625004","https://openalex.org/W2108142468","https://openalex.org/W2113593278","https://openalex.org/W2122069218","https://openalex.org/W2125517688","https://openalex.org/W2130103520","https://openalex.org/W2139539115","https://openalex.org/W2141720053","https://openalex.org/W2159669057","https://openalex.org/W2163111080","https://openalex.org/W2599551397","https://openalex.org/W4244952642","https://openalex.org/W6679388247"],"related_works":["https://openalex.org/W4313151434","https://openalex.org/W2050662190","https://openalex.org/W1997252062","https://openalex.org/W2899509464","https://openalex.org/W2159857203","https://openalex.org/W4390071586","https://openalex.org/W1982908968","https://openalex.org/W2378199636","https://openalex.org/W3121066829","https://openalex.org/W4310880131"],"abstract_inverted_index":{"We":[0,149],"present":[1],"a":[2,13,20],"novel":[3],"approach":[4,101],"to":[5,37,62,80,122,158],"moving":[6],"object":[7],"detection":[8],"in":[9,27],"video":[10,45],"taken":[11],"from":[12],"translating,":[14],"rotating":[15],"and":[16,56,86,97,111],"zooming":[17],"sensor,":[18],"with":[19,107,140],"focus":[21],"on":[22,105,138,144],"detecting":[23],"very":[24],"small":[25],"objects":[26],"as":[28,31,67,69,114],"few":[29],"frames":[30],"possible.":[32],"The":[33,75,100],"primary":[34],"innovation":[35],"is":[36,60,102,120],"incorporate":[38],"automatically":[39],"computed":[40],"scene":[41,109,153],"understanding":[42,53,154],"of":[43,72,135,162],"the":[44,48,118,123,145,160],"directly":[46],"into":[47],"motion":[49,83],"segmentation":[50,84],"process.":[51],"Scene":[52],"provides":[54],"spatial":[55],"semantic":[57],"context":[58],"that":[59],"used":[61,157],"improve":[63],"frame-to-frame":[64,163],"homography":[65,164],"computation,":[66],"well":[68],"direct":[70],"reduction":[71,134],"false":[73,136],"alarms.":[74],"method":[76],"can":[77,155],"be":[78,156],"applied":[79],"virtually":[81],"any":[82],"algorithm,":[85],"we":[87],"explore":[88],"its":[89],"utility":[90],"for":[91],"three:":[92],"frame":[93],"differencing,":[94],"tensor":[95],"voting,":[96],"generalized":[98],"PCA.":[99],"especially":[103],"effective":[104],"sequences":[106],"large":[108],"depth":[110],"much":[112],"parallax,":[113],"often":[115],"occurs":[116],"when":[117],"sensor":[119],"close":[121],"scene.":[124],"In":[125],"one":[126],"difficult":[127],"sequence,":[128],"our":[129],"results":[130],"show":[131,151],"an":[132],"8-fold":[133],"positives":[137],"average,":[139],"essentially":[141],"no":[142],"impact":[143],"true":[146],"positive":[147],"rate.":[148],"also":[150],"how":[152],"increase":[159],"accuracy":[161],"estimates.":[165]},"counts_by_year":[{"year":2020,"cited_by_count":1},{"year":2017,"cited_by_count":2},{"year":2015,"cited_by_count":1},{"year":2013,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}