{"id":"https://openalex.org/W2347220252","doi":"https://doi.org/10.1109/cvprw.2010.5543796","title":"Fast probabilisitic estimation of egomotion from image intensities","display_name":"Fast probabilisitic estimation of egomotion from image intensities","publication_year":2010,"publication_date":"2010-06-01","ids":{"openalex":"https://openalex.org/W2347220252","doi":"https://doi.org/10.1109/cvprw.2010.5543796","mag":"2347220252"},"language":"en","primary_location":{"id":"doi:10.1109/cvprw.2010.5543796","is_oa":false,"landing_page_url":"https://doi.org/10.1109/cvprw.2010.5543796","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2010 IEEE Computer Society Conference on Computer Vision and Pattern Recognition - 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/A5080290203","display_name":"Jamil Drar\u00e9ni","orcid":null},"institutions":[{"id":"https://openalex.org/I4210111842","display_name":"Computer Research Institute of Montr\u00e9al","ror":"https://ror.org/0279d5115","country_code":"CA","type":"nonprofit","lineage":["https://openalex.org/I4210111842"]},{"id":"https://openalex.org/I70931966","display_name":"Universit\u00e9 de Montr\u00e9al","ror":"https://ror.org/0161xgx34","country_code":"CA","type":"education","lineage":["https://openalex.org/I70931966"]}],"countries":["CA"],"is_corresponding":false,"raw_author_name":"Jamil Drareni","raw_affiliation_strings":["D\u00e9partement d'Informatique et recherche op\u00e9rationnelle, Universit\u00e9 de Montr\u00e9al, Montreal, QC, Canada"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"D\u00e9partement d'Informatique et recherche op\u00e9rationnelle, Universit\u00e9 de Montr\u00e9al, Montreal, QC, Canada","institution_ids":["https://openalex.org/I4210111842","https://openalex.org/I70931966"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5009300052","display_name":"Nicolas Martin","orcid":"https://orcid.org/0000-0002-2788-1042"},"institutions":[{"id":"https://openalex.org/I4210111842","display_name":"Computer Research Institute of Montr\u00e9al","ror":"https://ror.org/0279d5115","country_code":"CA","type":"nonprofit","lineage":["https://openalex.org/I4210111842"]},{"id":"https://openalex.org/I70931966","display_name":"Universit\u00e9 de Montr\u00e9al","ror":"https://ror.org/0161xgx34","country_code":"CA","type":"education","lineage":["https://openalex.org/I70931966"]}],"countries":["CA"],"is_corresponding":false,"raw_author_name":"Nicolas Martin","raw_affiliation_strings":["D\u00e9partement d'Informatique et recherche op\u00e9rationnelle, Universit\u00e9 de Montr\u00e9al, Montreal, QC, Canada"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"D\u00e9partement d'Informatique et recherche op\u00e9rationnelle, Universit\u00e9 de Montr\u00e9al, Montreal, QC, Canada","institution_ids":["https://openalex.org/I4210111842","https://openalex.org/I70931966"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5062938524","display_name":"S\u00e9bastien Roy","orcid":"https://orcid.org/0000-0002-1262-9485"},"institutions":[{"id":"https://openalex.org/I4210111842","display_name":"Computer Research Institute of Montr\u00e9al","ror":"https://ror.org/0279d5115","country_code":"CA","type":"nonprofit","lineage":["https://openalex.org/I4210111842"]},{"id":"https://openalex.org/I70931966","display_name":"Universit\u00e9 de Montr\u00e9al","ror":"https://ror.org/0161xgx34","country_code":"CA","type":"education","lineage":["https://openalex.org/I70931966"]}],"countries":["CA"],"is_corresponding":false,"raw_author_name":"Sebastien Roy","raw_affiliation_strings":["D\u00e9partement d'Informatique et recherche op\u00e9rationnelle, Universit\u00e9 de Montr\u00e9al, Montreal, QC, Canada"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"D\u00e9partement d'Informatique et recherche op\u00e9rationnelle, Universit\u00e9 de Montr\u00e9al, Montreal, QC, Canada","institution_ids":["https://openalex.org/I4210111842","https://openalex.org/I70931966"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.29829086,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":94},"biblio":{"volume":"2","issue":null,"first_page":"31","last_page":"37"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10531","display_name":"Advanced Vision and Imaging","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/T10531","display_name":"Advanced Vision and Imaging","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/T11105","display_name":"Advanced Image Processing Techniques","score":0.9993000030517578,"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/T11439","display_name":"Video Analysis and Summarization","score":0.9955999851226807,"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":0.8127882480621338},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.7992138862609863},{"id":"https://openalex.org/keywords/motion-estimation","display_name":"Motion estimation","score":0.7610400915145874},{"id":"https://openalex.org/keywords/optical-flow","display_name":"Optical flow","score":0.7519540190696716},{"id":"https://openalex.org/keywords/pixel","display_name":"Pixel","score":0.6578450202941895},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6199809908866882},{"id":"https://openalex.org/keywords/tracking","display_name":"Tracking (education)","score":0.5785276889801025},{"id":"https://openalex.org/keywords/motion-field","display_name":"Motion field","score":0.5431557893753052},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.530498743057251},{"id":"https://openalex.org/keywords/probabilistic-logic","display_name":"Probabilistic logic","score":0.5103437304496765},{"id":"https://openalex.org/keywords/motion","display_name":"Motion (physics)","score":0.49093130230903625}],"concepts":[{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.8127882480621338},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.7992138862609863},{"id":"https://openalex.org/C10161872","wikidata":"https://www.wikidata.org/wiki/Q557891","display_name":"Motion estimation","level":2,"score":0.7610400915145874},{"id":"https://openalex.org/C155542232","wikidata":"https://www.wikidata.org/wiki/Q736111","display_name":"Optical flow","level":3,"score":0.7519540190696716},{"id":"https://openalex.org/C160633673","wikidata":"https://www.wikidata.org/wiki/Q355198","display_name":"Pixel","level":2,"score":0.6578450202941895},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6199809908866882},{"id":"https://openalex.org/C2775936607","wikidata":"https://www.wikidata.org/wiki/Q466845","display_name":"Tracking (education)","level":2,"score":0.5785276889801025},{"id":"https://openalex.org/C124774092","wikidata":"https://www.wikidata.org/wiki/Q6917782","display_name":"Motion field","level":3,"score":0.5431557893753052},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.530498743057251},{"id":"https://openalex.org/C49937458","wikidata":"https://www.wikidata.org/wiki/Q2599292","display_name":"Probabilistic logic","level":2,"score":0.5103437304496765},{"id":"https://openalex.org/C104114177","wikidata":"https://www.wikidata.org/wiki/Q79782","display_name":"Motion (physics)","level":2,"score":0.49093130230903625},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.0},{"id":"https://openalex.org/C19417346","wikidata":"https://www.wikidata.org/wiki/Q7922","display_name":"Pedagogy","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/cvprw.2010.5543796","is_oa":false,"landing_page_url":"https://doi.org/10.1109/cvprw.2010.5543796","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2010 IEEE Computer Society Conference on Computer Vision and Pattern Recognition - Workshops","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":11,"referenced_works":["https://openalex.org/W1555614281","https://openalex.org/W1838250192","https://openalex.org/W1905335496","https://openalex.org/W1965637662","https://openalex.org/W2012929831","https://openalex.org/W2123244143","https://openalex.org/W2144297066","https://openalex.org/W2151315742","https://openalex.org/W2914389026","https://openalex.org/W3003662786","https://openalex.org/W6653833384"],"related_works":["https://openalex.org/W1501297619","https://openalex.org/W2354637046","https://openalex.org/W2053820737","https://openalex.org/W2120943489","https://openalex.org/W1988727984","https://openalex.org/W1484667368","https://openalex.org/W4286646204","https://openalex.org/W2093488518","https://openalex.org/W2035871094","https://openalex.org/W2130582613"],"abstract_inverted_index":{"This":[0],"paper":[1],"proposes":[2],"a":[3,15,44],"real-time":[4,96],"probabilistic":[5],"solution":[6],"to":[7,80],"the":[8,40,51,63,71,84,103],"problem":[9],"of":[10,19,23,35,59,62,73],"camera":[11,41],"motion":[12,42,53,97],"estimation":[13,34,98],"in":[14,83],"video":[16],"sequence.":[17],"Instead":[18],"using":[20],"explicit":[21],"tracking":[22],"features,":[24],"it":[25,77],"only":[26],"uses":[27],"instantaneous":[28],"image":[29,104],"intensity":[30],"variations":[31],"without":[32],"prior":[33],"optical":[36],"flow.":[37],"We":[38],"represent":[39],"as":[43],"probability":[45],"density":[46,66],"which":[47],"is":[48,67,89,99],"constructed":[49],"from":[50,56,102],"individual":[52],"densities,":[54],"estimated":[55],"spatio-temporal":[57],"derivatives,":[58],"each":[60,74],"pixel":[61],"image.":[64,85],"The":[65],"formed":[68],"by":[69],"accumulating":[70],"contribution":[72],"pixel,":[75],"making":[76],"very":[78],"robust":[79],"local":[81],"perturbations":[82],"A":[86],"fast":[87],"algorithm":[88],"proposed":[90],"and":[91],"experimental":[92],"results":[93],"show":[94],"how":[95],"possible":[100],"directly":[101],"stream":[105],"with":[106],"good":[107],"precision.":[108]},"counts_by_year":[{"year":2014,"cited_by_count":1}],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2025-10-10T00:00:00"}