{"id":"https://openalex.org/W2332353648","doi":null,"title":"Estimation of Camera Parameters in Video Sequences with a Large Amount of Scene Motion","display_name":"Estimation of Camera Parameters in Video Sequences with a Large Amount of Scene Motion","publication_year":2010,"publication_date":"2010-01-01","ids":{"openalex":"https://openalex.org/W2332353648","mag":"2332353648"},"language":"en","primary_location":{"id":"mag:2332353648","doi":null,"is_oa":false,"landing_page_url":"http://www2.ic.uff.br/iwssip2010/Proceedings/nav/papers/paper_108.pdf","pdf_url":null,"source":null,"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":null},"volume":null,"type":"article","is_traditional":true,"indexed_in":[],"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/A5089568142","display_name":"Jurandy Almeida","orcid":"https://orcid.org/0000-0002-4998-6996","observed_orcids":["https://orcid.org/0000-0002-4998-6996"]},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Jurandy Almeida","raw_affiliation_strings":[],"raw_orcid":"https://orcid.org/0000-0002-4998-6996","affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5055631823","display_name":"Rodrigo Minetto","orcid":"https://orcid.org/0000-0003-2277-4632","observed_orcids":["https://orcid.org/0000-0003-2277-4632"]},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Rodrigo Minetto","raw_affiliation_strings":[],"raw_orcid":"https://orcid.org/0000-0003-2277-4632","affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5070893483","display_name":"Tiago A. Almeida","orcid":"https://orcid.org/0000-0001-6943-8033","observed_orcids":["https://orcid.org/0000-0001-6943-8033"]},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Tiago A. Almeida","raw_affiliation_strings":[],"raw_orcid":"https://orcid.org/0000-0001-6943-8033","affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5026565911","display_name":"S. Torresand","orcid":null,"observed_orcids":[]},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"S. Torresand","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5110301944","display_name":"Neucimar J. Leite","orcid":null,"observed_orcids":[]},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Neucimar J. Leite","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":0,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":3.3058,"has_fulltext":false,"cited_by_count":12,"citation_normalized_percentile":{"value":0.92262366,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":88,"max":95},"biblio":{"volume":null,"issue":null,"first_page":null,"last_page":null},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10531","display_name":"Advanced Vision and Imaging","score":0.7271000146865845,"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/T10531","display_name":"Advanced Vision and Imaging","score":0.7271000146865845,"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/T13579","display_name":"Image and Video Stabilization","score":0.179299995303154,"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":0.027799999341368675,"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/camera-motion-estimation","display_name":"camera motion estimation","score":0.9570000171661377},{"id":"https://openalex.org/keywords/local-invariant-features","display_name":"local invariant features","score":0.753000020980835},{"id":"https://openalex.org/keywords/affine-distortion","display_name":"affine distortion","score":0.7720000147819519},{"id":"https://openalex.org/keywords/feature-matching","display_name":"feature matching","score":0.8460000157356262},{"id":"https://openalex.org/keywords/robust-estimation","display_name":"robust estimation","score":0.8080000281333923},{"id":"https://openalex.org/keywords/scene-motion","display_name":"scene motion","score":0.6480000019073486},{"id":"https://openalex.org/keywords/pov-ray","display_name":"POV-Ray","score":0.7770000100135803}],"concepts":[{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.765545129776001},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7494117021560669},{"id":"https://openalex.org/C155542232","wikidata":"https://www.wikidata.org/wiki/Q736111","display_name":"Optical flow","level":3,"score":0.6940823793411255},{"id":"https://openalex.org/C10161872","wikidata":"https://www.wikidata.org/wiki/Q557891","display_name":"Motion estimation","level":2,"score":0.66151362657547},{"id":"https://openalex.org/C124774092","wikidata":"https://www.wikidata.org/wiki/Q6917782","display_name":"Motion field","level":3,"score":0.6147838830947876},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6098965406417847},{"id":"https://openalex.org/C92757383","wikidata":"https://www.wikidata.org/wiki/Q382497","display_name":"Affine transformation","level":2,"score":0.5815080404281616},{"id":"https://openalex.org/C94816000","wikidata":"https://www.wikidata.org/wiki/Q5026006","display_name":"Camera auto-calibration","level":3,"score":0.5536940693855286},{"id":"https://openalex.org/C146159030","wikidata":"https://www.wikidata.org/wiki/Q7625099","display_name":"Structure from motion","level":3,"score":0.5529025197029114},{"id":"https://openalex.org/C174493125","wikidata":"https://www.wikidata.org/wiki/Q1073461","display_name":"Quarter-pixel motion","level":3,"score":0.5235859155654907},{"id":"https://openalex.org/C72560505","wikidata":"https://www.wikidata.org/wiki/Q204510","display_name":"Motion interpolation","level":5,"score":0.5017585754394531},{"id":"https://openalex.org/C126780896","wikidata":"https://www.wikidata.org/wiki/Q899871","display_name":"Distortion (music)","level":4,"score":0.49970054626464844},{"id":"https://openalex.org/C104114177","wikidata":"https://www.wikidata.org/wiki/Q79782","display_name":"Motion (physics)","level":2,"score":0.42769432067871094},{"id":"https://openalex.org/C2777036941","wikidata":"https://www.wikidata.org/wiki/Q6917771","display_name":"Motion analysis","level":2,"score":0.4273323118686676},{"id":"https://openalex.org/C186633575","wikidata":"https://www.wikidata.org/wiki/Q845060","display_name":"Maxima and minima","level":2,"score":0.4244346022605896},{"id":"https://openalex.org/C128840427","wikidata":"https://www.wikidata.org/wiki/Q1302174","display_name":"Motion compensation","level":2,"score":0.42259353399276733},{"id":"https://openalex.org/C110898773","wikidata":"https://www.wikidata.org/wiki/Q2933935","display_name":"Camera resectioning","level":2,"score":0.34778648614883423},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.32296520471572876},{"id":"https://openalex.org/C167510206","wikidata":"https://www.wikidata.org/wiki/Q2835824","display_name":"Block-matching algorithm","level":4,"score":0.30313074588775635},{"id":"https://openalex.org/C202474056","wikidata":"https://www.wikidata.org/wiki/Q1931635","display_name":"Video tracking","level":3,"score":0.1500086486339569},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.1449558436870575},{"id":"https://openalex.org/C65483669","wikidata":"https://www.wikidata.org/wiki/Q3536669","display_name":"Video processing","level":2,"score":0.135602205991745},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.0},{"id":"https://openalex.org/C202444582","wikidata":"https://www.wikidata.org/wiki/Q837863","display_name":"Pure mathematics","level":1,"score":0.0},{"id":"https://openalex.org/C2776257435","wikidata":"https://www.wikidata.org/wiki/Q1576430","display_name":"Bandwidth (computing)","level":2,"score":0.0},{"id":"https://openalex.org/C194257627","wikidata":"https://www.wikidata.org/wiki/Q211554","display_name":"Amplifier","level":3,"score":0.0},{"id":"https://openalex.org/C31258907","wikidata":"https://www.wikidata.org/wiki/Q1301371","display_name":"Computer network","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"mag:2332353648","doi":null,"is_oa":false,"landing_page_url":"http://www2.ic.uff.br/iwssip2010/Proceedings/nav/papers/paper_108.pdf","pdf_url":null,"source":null,"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":null}],"best_oa_location":null,"sustainable_development_goals":[],"study_designs":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":14,"referenced_works":["https://openalex.org/W112223468","https://openalex.org/W172721773","https://openalex.org/W1511808730","https://openalex.org/W1766596758","https://openalex.org/W1984190176","https://openalex.org/W2042323121","https://openalex.org/W2060901226","https://openalex.org/W2085261163","https://openalex.org/W2086927002","https://openalex.org/W2106373744","https://openalex.org/W2130103520","https://openalex.org/W2151103935","https://openalex.org/W2166054181","https://openalex.org/W2171857946"],"related_works":["https://openalex.org/W7096688340","https://openalex.org/W7097806095","https://openalex.org/W2042323121","https://openalex.org/W1976260503","https://openalex.org/W2117658178","https://openalex.org/W2555040730","https://openalex.org/W2114729776","https://openalex.org/W2028328877","https://openalex.org/W7028415391","https://openalex.org/W1987759001"],"abstract_inverted_index":{"Most":[0],"of":[1,12,34,40,57,69,102,116,123,132,147,159,180,185,192,235,240,256,282,286,297,316,323,330,345],"existing":[2],"techniques":[3],"to":[4,50,164,214],"estimate":[5,51],"camera":[6,52,96,117,181,201,229,257,293,317,347],"motion":[7,35,53,97,118,182,202,230,294,318,338],"is":[8,86,198,219,243],"based":[9,54,173,319],"on":[10,55,73,130,145,174,320],"analysis":[11,56,131,146,296,322],"the":[13,90,114,140,148,200,223,241,254,289,298,314,321,324,346],"optical":[14,91,149,224,299],"flow.":[15,150],"However,":[16],"such":[17,193],"methods":[18,290],"can":[19,204,301],"be":[20,205],"inaccurate":[21],"and/or":[22],"inefficiently":[23],"when":[24],"applied":[25],"in":[26,139,266],"video":[27,75],"sequences":[28,172],"which":[29],"have":[30,210],"a":[31,37,66,78,99,120,156,194,232,283],"large":[32,38,100,121,233],"amount":[33,101,122,234],"or":[36],"number":[39],"scene":[41,103,124,236],"changes.":[42],"In":[43,162,280],"this":[44,107,306],"paper,":[45],"we":[46,109,168,209,308],"present":[47,110,309],"an":[48,111,310],"approach":[49,112,252],"local":[58,133,325],"invariant":[59,134,326],"features.":[60,327],"Such":[61,151],"features":[62,135,152],"are":[63,153,264],"robust":[64,154,343],"across":[65,155],"substantial":[67,157,284],"range":[68,158,285],"affine":[70,160,287],"distortion.":[71,161],"Experiments":[72],"synthesized":[74],"clips":[76],"with":[77,98,119,231],"fully":[79,206],"controlled":[80],"environment":[81],"show":[82,215],"that":[83,199,216],"our":[84,166,217,251],"technique":[85,128,218],"more":[87,220],"effective":[88,221],"than":[89,144,222],"flow-based":[92,225],"approaches":[93],"for":[94,113,227,253,277,291,313],"estimating":[95,228,292],"motion.":[104,237,258],"To":[105,304],"address":[106,305],"problem,":[108,307],"estimation":[115,255,315,344],"mo-":[125],"tion.":[126],"Our":[127],"relies":[129],"obtained":[136],"from":[137],"extrema":[138],"scale":[141],"space":[142],"rather":[143],"order":[163],"validate":[165],"approach,":[167],"use":[169],"synthetic":[170,195],"videos":[171],"POV-Ray":[175],"scenes":[176],"including":[177],"all":[178],"kinds":[179],"and":[183,262,274,341],"many":[184],"their":[186],"possible":[187],"combinations.":[188],"The":[189,238,259],"main":[190,332],"advantage":[191],"test":[196],"set":[197],"parameters":[203],"controlled.":[207],"Further,":[208],"conducted":[211],"several":[212],"experiments":[213],"ones":[226],"remainder":[239],"paper":[242],"organized":[244],"as":[245],"follows.":[246],"Sec-":[247],"tion":[248],"II":[249],"presents":[250,272],"experimental":[260],"settings":[261],"results":[263],"discussed":[265],"Section":[267,270],"III.":[268],"Finally,":[269],"IV":[271],"conclusions":[273],"direc-":[275],"tions":[276],"future":[278],"work.":[279],"presence":[281],"distortion,":[288],"by":[295],"flow":[300],"fail":[302],"(3).":[303],"ap-":[311],"proach":[312],"It":[328],"consists":[329],"three":[331],"steps:":[333],"(1)":[334],"feature":[335],"matching;":[336],"(2)":[337],"model":[339],"fitting;":[340],"(3)":[342],"parameters.":[348]},"counts_by_year":[{"year":2020,"cited_by_count":1},{"year":2018,"cited_by_count":1},{"year":2013,"cited_by_count":2},{"year":2012,"cited_by_count":1}],"updated_date":"2025-11-06T04:12:42.849631","created_date":"2016-06-24T00:00:00"}
