{"id":"https://openalex.org/W2032965927","doi":"https://doi.org/10.1109/icdsp.2009.5201114","title":"Low complexity dense motion estimation using phase correlation","display_name":"Low complexity dense motion estimation using phase correlation","publication_year":2009,"publication_date":"2009-07-01","ids":{"openalex":"https://openalex.org/W2032965927","doi":"https://doi.org/10.1109/icdsp.2009.5201114","mag":"2032965927"},"language":"en","primary_location":{"id":"doi:10.1109/icdsp.2009.5201114","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icdsp.2009.5201114","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2009 16th International Conference on Digital Signal Processing","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/A5013565466","display_name":"Vasileios Argyriou","orcid":"https://orcid.org/0000-0003-4679-8049"},"institutions":[{"id":"https://openalex.org/I157227730","display_name":"University of East London","ror":"https://ror.org/057jrqr44","country_code":"GB","type":"education","lineage":["https://openalex.org/I157227730"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"V. Argyriou","raw_affiliation_strings":["School of Computing,  Information Technology and Engineering, University of East London, UK","School of Computing, Information Technology and Engineering, University of East London, UK"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Computing,  Information Technology and Engineering, University of East London, UK","institution_ids":["https://openalex.org/I157227730"]},{"raw_affiliation_string":"School of Computing, Information Technology and Engineering, University of East London, UK","institution_ids":["https://openalex.org/I157227730"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5111567020","display_name":"T. Vlachos","orcid":null},"institutions":[{"id":"https://openalex.org/I187792471","display_name":"Ionian University","ror":"https://ror.org/01xm4n520","country_code":"GR","type":"education","lineage":["https://openalex.org/I187792471"]}],"countries":["GR"],"is_corresponding":false,"raw_author_name":"T. Vlachos","raw_affiliation_strings":["Department of Audiovisual Arts, Ionian University, Greece","Department of Audiovisual Arts, Ionian University, Greece#TAB#"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Audiovisual Arts, Ionian University, Greece","institution_ids":["https://openalex.org/I187792471"]},{"raw_affiliation_string":"Department of Audiovisual Arts, Ionian University, Greece#TAB#","institution_ids":["https://openalex.org/I187792471"]}]}],"institutions":[],"countries_distinct_count":2,"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":2,"citation_normalized_percentile":{"value":0.09721071,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":94,"max":96},"biblio":{"volume":"2","issue":null,"first_page":"1","last_page":"6"},"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":0.9998000264167786,"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/T10741","display_name":"Video Coding and Compression Technologies","score":0.9994000196456909,"subfield":{"id":"https://openalex.org/subfields/1711","display_name":"Signal Processing"},"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/motion-estimation","display_name":"Motion estimation","score":0.8034629821777344},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6847438812255859},{"id":"https://openalex.org/keywords/motion-vector","display_name":"Motion vector","score":0.6751294136047363},{"id":"https://openalex.org/keywords/quarter-pixel-motion","display_name":"Quarter-pixel motion","score":0.6706019639968872},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6113157868385315},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.6045769453048706},{"id":"https://openalex.org/keywords/convolution","display_name":"Convolution (computer science)","score":0.5996270775794983},{"id":"https://openalex.org/keywords/motion-field","display_name":"Motion field","score":0.5624917149543762},{"id":"https://openalex.org/keywords/block","display_name":"Block (permutation group theory)","score":0.5191911458969116},{"id":"https://openalex.org/keywords/phase-correlation","display_name":"Phase correlation","score":0.5142521262168884},{"id":"https://openalex.org/keywords/salient","display_name":"Salient","score":0.5078588128089905},{"id":"https://openalex.org/keywords/pixel","display_name":"Pixel","score":0.5025629997253418},{"id":"https://openalex.org/keywords/motion","display_name":"Motion (physics)","score":0.4764159917831421},{"id":"https://openalex.org/keywords/grid","display_name":"Grid","score":0.4612746238708496},{"id":"https://openalex.org/keywords/computational-complexity-theory","display_name":"Computational complexity theory","score":0.453948974609375},{"id":"https://openalex.org/keywords/phase","display_name":"Phase (matter)","score":0.45348048210144043},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.38265228271484375},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.28288325667381287},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.13943752646446228},{"id":"https://openalex.org/keywords/fourier-transform","display_name":"Fourier transform","score":0.08349493145942688},{"id":"https://openalex.org/keywords/physics","display_name":"Physics","score":0.0749211311340332}],"concepts":[{"id":"https://openalex.org/C10161872","wikidata":"https://www.wikidata.org/wiki/Q557891","display_name":"Motion estimation","level":2,"score":0.8034629821777344},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6847438812255859},{"id":"https://openalex.org/C2779020251","wikidata":"https://www.wikidata.org/wiki/Q3555171","display_name":"Motion vector","level":3,"score":0.6751294136047363},{"id":"https://openalex.org/C174493125","wikidata":"https://www.wikidata.org/wiki/Q1073461","display_name":"Quarter-pixel motion","level":3,"score":0.6706019639968872},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6113157868385315},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.6045769453048706},{"id":"https://openalex.org/C45347329","wikidata":"https://www.wikidata.org/wiki/Q5166604","display_name":"Convolution (computer science)","level":3,"score":0.5996270775794983},{"id":"https://openalex.org/C124774092","wikidata":"https://www.wikidata.org/wiki/Q6917782","display_name":"Motion field","level":3,"score":0.5624917149543762},{"id":"https://openalex.org/C2777210771","wikidata":"https://www.wikidata.org/wiki/Q4927124","display_name":"Block (permutation group theory)","level":2,"score":0.5191911458969116},{"id":"https://openalex.org/C93509452","wikidata":"https://www.wikidata.org/wiki/Q7180943","display_name":"Phase correlation","level":5,"score":0.5142521262168884},{"id":"https://openalex.org/C2780719617","wikidata":"https://www.wikidata.org/wiki/Q1030752","display_name":"Salient","level":2,"score":0.5078588128089905},{"id":"https://openalex.org/C160633673","wikidata":"https://www.wikidata.org/wiki/Q355198","display_name":"Pixel","level":2,"score":0.5025629997253418},{"id":"https://openalex.org/C104114177","wikidata":"https://www.wikidata.org/wiki/Q79782","display_name":"Motion (physics)","level":2,"score":0.4764159917831421},{"id":"https://openalex.org/C187691185","wikidata":"https://www.wikidata.org/wiki/Q2020720","display_name":"Grid","level":2,"score":0.4612746238708496},{"id":"https://openalex.org/C179799912","wikidata":"https://www.wikidata.org/wiki/Q205084","display_name":"Computational complexity theory","level":2,"score":0.453948974609375},{"id":"https://openalex.org/C44280652","wikidata":"https://www.wikidata.org/wiki/Q104837","display_name":"Phase (matter)","level":2,"score":0.45348048210144043},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.38265228271484375},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.28288325667381287},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.13943752646446228},{"id":"https://openalex.org/C102519508","wikidata":"https://www.wikidata.org/wiki/Q6520159","display_name":"Fourier transform","level":2,"score":0.08349493145942688},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0749211311340332},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.0},{"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/C203024314","wikidata":"https://www.wikidata.org/wiki/Q1365258","display_name":"Fourier analysis","level":3,"score":0.0},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0},{"id":"https://openalex.org/C166386157","wikidata":"https://www.wikidata.org/wiki/Q1477735","display_name":"Short-time Fourier transform","level":4,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/icdsp.2009.5201114","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icdsp.2009.5201114","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2009 16th International Conference on Digital Signal Processing","raw_type":"proceedings-article"},{"id":"pmh:oai:eprints.kingston.ac.uk:9323","is_oa":false,"landing_page_url":"http://eprints.kingston.ac.uk/id/eprint/9323/","pdf_url":null,"source":{"id":"https://openalex.org/S4306400991","display_name":"Research Repository (Kingston University London)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I2801636071","host_organization_name":"Kingston Hospital NHS Trust","host_organization_lineage":["https://openalex.org/I2801636071"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"Conference or Workshop Item"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.6600000262260437,"id":"https://metadata.un.org/sdg/11","display_name":"Sustainable cities and communities"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":35,"referenced_works":["https://openalex.org/W191284077","https://openalex.org/W204174605","https://openalex.org/W1544877972","https://openalex.org/W1547334019","https://openalex.org/W1578285471","https://openalex.org/W1629654683","https://openalex.org/W1909182616","https://openalex.org/W1982211112","https://openalex.org/W2026593393","https://openalex.org/W2031811169","https://openalex.org/W2033104631","https://openalex.org/W2035379092","https://openalex.org/W2044980626","https://openalex.org/W2100315781","https://openalex.org/W2104516537","https://openalex.org/W2110278857","https://openalex.org/W2118877769","https://openalex.org/W2143332478","https://openalex.org/W2144746551","https://openalex.org/W2144788356","https://openalex.org/W2145582109","https://openalex.org/W2153101587","https://openalex.org/W2153184216","https://openalex.org/W2164438042","https://openalex.org/W2165949425","https://openalex.org/W2168766022","https://openalex.org/W2170653185","https://openalex.org/W2751023760","https://openalex.org/W2911709767","https://openalex.org/W3003662786","https://openalex.org/W3020339995","https://openalex.org/W4206610958","https://openalex.org/W4237405515","https://openalex.org/W6607664989","https://openalex.org/W6632637310"],"related_works":["https://openalex.org/W2140220292","https://openalex.org/W2114932415","https://openalex.org/W2039736575","https://openalex.org/W2140041124","https://openalex.org/W2919007474","https://openalex.org/W1964420331","https://openalex.org/W2392507104","https://openalex.org/W2349346712","https://openalex.org/W1538370470","https://openalex.org/W2164455435"],"abstract_inverted_index":{"We":[0],"propose":[1],"a":[2,41],"low-complexity":[3],"dense":[4,44],"motion":[5,21,38,67,90],"estimation":[6,22,91],"scheme":[7,15,62],"particularly":[8],"attractive":[9],"for":[10],"real-time":[11],"video":[12],"applications.":[13],"Our":[14,57],"is":[16,47],"based":[17],"on":[18,53],"overlapped":[19],"block-based":[20],"using":[23],"phase":[24],"correlation":[25],"at":[26],"critical":[27],"pixel":[28],"locations.":[29],"These":[30],"form":[31],"an":[32],"irregularly":[33],"sampled":[34],"grid":[35],"capturing":[36],"salient":[37],"features":[39],"of":[40],"scene.":[42],"The":[43],"vector":[45],"field":[46],"obtained":[48],"by":[49],"applying":[50],"normalized":[51],"convolution":[52],"the":[54],"irregular":[55],"grid.":[56],"experiments":[58],"show":[59],"that":[60],"our":[61],"provides":[63],"reliable":[64],"sub-pixel":[65],"accuracy":[66],"vectors":[68],"corresponding":[69],"to":[70,83],"actual":[71],"scene":[72],"motion,":[73],"outperforms":[74],"differential":[75],"and":[76,79,86],"phase-based":[77],"methods":[78],"yields":[80],"comparable":[81],"performance":[82],"more":[84],"complex":[85],"time":[87],"consuming":[88],"robust":[89],"techniques.":[92]},"counts_by_year":[{"year":2018,"cited_by_count":2}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}