{"id":"https://openalex.org/W2607690998","doi":"https://doi.org/10.1109/icmcs.2016.7905522","title":"Phase correlation method to the optical flow using neuronal networks","display_name":"Phase correlation method to the optical flow using neuronal networks","publication_year":2016,"publication_date":"2016-09-01","ids":{"openalex":"https://openalex.org/W2607690998","doi":"https://doi.org/10.1109/icmcs.2016.7905522","mag":"2607690998"},"language":"en","primary_location":{"id":"doi:10.1109/icmcs.2016.7905522","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icmcs.2016.7905522","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2016 5th International Conference on Multimedia Computing and Systems (ICMCS)","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/A5053847684","display_name":"Khalid Ghoul","orcid":"https://orcid.org/0000-0002-8045-2810"},"institutions":[{"id":"https://openalex.org/I3132180716","display_name":"Larbi Ben M'hidi University of Oum El Bouaghi","ror":"https://ror.org/0034tbg85","country_code":"DZ","type":"education","lineage":["https://openalex.org/I3132180716"]}],"countries":["DZ"],"is_corresponding":false,"raw_author_name":"Khalid Ghoul","raw_affiliation_strings":["Larbi Ben M'Hidi University, Oum El Bouaghi, Algeria"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Larbi Ben M'Hidi University, Oum El Bouaghi, Algeria","institution_ids":["https://openalex.org/I3132180716"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5035095815","display_name":"Mohamed Lamine Berkane","orcid":"https://orcid.org/0000-0001-8781-0257"},"institutions":[{"id":"https://openalex.org/I3132180716","display_name":"Larbi Ben M'hidi University of Oum El Bouaghi","ror":"https://ror.org/0034tbg85","country_code":"DZ","type":"education","lineage":["https://openalex.org/I3132180716"]}],"countries":["DZ"],"is_corresponding":false,"raw_author_name":"Mohamed Berkane","raw_affiliation_strings":["Larbi Ben M'Hidi University, Oum El Bouaghi, Algeria"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Larbi Ben M'Hidi University, Oum El Bouaghi, Algeria","institution_ids":["https://openalex.org/I3132180716"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5063976278","display_name":"Mohamed Batouche","orcid":"https://orcid.org/0000-0002-2456-7859"},"institutions":[{"id":"https://openalex.org/I4210160465","display_name":"Universit\u00e9 Constantine 2","ror":"https://ror.org/056mctw68","country_code":"DZ","type":"education","lineage":["https://openalex.org/I4210160465"]}],"countries":["DZ"],"is_corresponding":false,"raw_author_name":"Mohamed Chawki Batouche","raw_affiliation_strings":["Abdel Hamid Mehri University, Constantine, Algeria"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Abdel Hamid Mehri University, Constantine, Algeria","institution_ids":["https://openalex.org/I4210160465"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.20112559,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"7 a","issue":null,"first_page":"71","last_page":"75"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10531","display_name":"Advanced Vision and Imaging","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"}},"topics":[{"id":"https://openalex.org/T10531","display_name":"Advanced Vision and Imaging","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/T11105","display_name":"Advanced Image Processing Techniques","score":0.9934999942779541,"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/T11569","display_name":"Optical Coherence Tomography Applications","score":0.9934999942779541,"subfield":{"id":"https://openalex.org/subfields/2204","display_name":"Biomedical Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/optical-flow","display_name":"Optical flow","score":0.6945807337760925},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6722005605697632},{"id":"https://openalex.org/keywords/classification-of-discontinuities","display_name":"Classification of discontinuities","score":0.6382490992546082},{"id":"https://openalex.org/keywords/regularization","display_name":"Regularization (linguistics)","score":0.6330490112304688},{"id":"https://openalex.org/keywords/motion-estimation","display_name":"Motion estimation","score":0.6211913228034973},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.6210715174674988},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5984022617340088},{"id":"https://openalex.org/keywords/motion-field","display_name":"Motion field","score":0.5841754674911499},{"id":"https://openalex.org/keywords/pixel","display_name":"Pixel","score":0.5096404552459717},{"id":"https://openalex.org/keywords/motion","display_name":"Motion (physics)","score":0.4648961126804352},{"id":"https://openalex.org/keywords/phase-correlation","display_name":"Phase correlation","score":0.46311652660369873},{"id":"https://openalex.org/keywords/displacement","display_name":"Displacement (psychology)","score":0.4380660057067871},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.43062639236450195},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.3879351019859314},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.3494614362716675},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.25580689311027527}],"concepts":[{"id":"https://openalex.org/C155542232","wikidata":"https://www.wikidata.org/wiki/Q736111","display_name":"Optical flow","level":3,"score":0.6945807337760925},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6722005605697632},{"id":"https://openalex.org/C15627037","wikidata":"https://www.wikidata.org/wiki/Q541961","display_name":"Classification of discontinuities","level":2,"score":0.6382490992546082},{"id":"https://openalex.org/C2776135515","wikidata":"https://www.wikidata.org/wiki/Q17143721","display_name":"Regularization (linguistics)","level":2,"score":0.6330490112304688},{"id":"https://openalex.org/C10161872","wikidata":"https://www.wikidata.org/wiki/Q557891","display_name":"Motion estimation","level":2,"score":0.6211913228034973},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.6210715174674988},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5984022617340088},{"id":"https://openalex.org/C124774092","wikidata":"https://www.wikidata.org/wiki/Q6917782","display_name":"Motion field","level":3,"score":0.5841754674911499},{"id":"https://openalex.org/C160633673","wikidata":"https://www.wikidata.org/wiki/Q355198","display_name":"Pixel","level":2,"score":0.5096404552459717},{"id":"https://openalex.org/C104114177","wikidata":"https://www.wikidata.org/wiki/Q79782","display_name":"Motion (physics)","level":2,"score":0.4648961126804352},{"id":"https://openalex.org/C93509452","wikidata":"https://www.wikidata.org/wiki/Q7180943","display_name":"Phase correlation","level":5,"score":0.46311652660369873},{"id":"https://openalex.org/C107551265","wikidata":"https://www.wikidata.org/wiki/Q1458245","display_name":"Displacement (psychology)","level":2,"score":0.4380660057067871},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.43062639236450195},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.3879351019859314},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.3494614362716675},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.25580689311027527},{"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/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.0},{"id":"https://openalex.org/C542102704","wikidata":"https://www.wikidata.org/wiki/Q183257","display_name":"Psychotherapist","level":1,"score":0.0},{"id":"https://openalex.org/C102519508","wikidata":"https://www.wikidata.org/wiki/Q6520159","display_name":"Fourier transform","level":2,"score":0.0},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"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":1,"locations":[{"id":"doi:10.1109/icmcs.2016.7905522","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icmcs.2016.7905522","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2016 5th International Conference on Multimedia Computing and Systems (ICMCS)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":23,"referenced_works":["https://openalex.org/W1516670364","https://openalex.org/W1520822062","https://openalex.org/W1539250641","https://openalex.org/W1555599476","https://openalex.org/W1577625451","https://openalex.org/W1578285471","https://openalex.org/W1985261524","https://openalex.org/W1985385075","https://openalex.org/W2023840808","https://openalex.org/W2037680939","https://openalex.org/W2045046865","https://openalex.org/W2051837672","https://openalex.org/W2095699045","https://openalex.org/W2109246364","https://openalex.org/W2127054002","https://openalex.org/W2143723291","https://openalex.org/W2158330218","https://openalex.org/W2186396281","https://openalex.org/W2266923863","https://openalex.org/W6631012428","https://openalex.org/W6632232448","https://openalex.org/W6661828886","https://openalex.org/W6687074070"],"related_works":["https://openalex.org/W1501297619","https://openalex.org/W2354637046","https://openalex.org/W2120943489","https://openalex.org/W1484667368","https://openalex.org/W4286646204","https://openalex.org/W1988727984","https://openalex.org/W2093488518","https://openalex.org/W2130582613","https://openalex.org/W2030154815","https://openalex.org/W2051121715"],"abstract_inverted_index":{"The":[0,72,87,122,137],"motion":[1,36,83,100],"estimation":[2,84],"problem":[3],"in":[4,14,37,48,62,101],"image":[5],"sequences":[6],"is":[7,75,104,125,140],"one":[8],"of":[9,46,59,82,91,110,113,118,129,135],"the":[10,35,39,44,57,67,94,97,108,116,130,143],"most":[11,98],"important":[12],"tasks":[13],"computer":[15],"vision.":[16],"Thus,":[17],"many":[18],"methods":[19,61],"were":[20],"proposed":[21,88],"to":[22,33,55],"resolve":[23],"this":[24,51],"problem,":[25],"but":[26],"no":[27],"universal":[28],"method":[29,65,74,81,89,139],"has":[30],"been":[31],"developed":[32],"determine":[34],"all":[38,43],"situations":[40],"and":[41,66],"for":[42],"types":[45],"objects":[47],"motion.":[49],"In":[50],"paper,":[52],"we":[53],"propose":[54],"combine":[56],"advantages":[58],"neural":[60,80],"particular":[63],"EMAN":[64],"frequency":[68],"phase":[69,124,128],"correlation":[70],"method.":[71],"new":[73,138],"consider":[76],"as":[77],"a":[78,126],"connectionist":[79],"with":[85,115,133],"discontinuities.":[86,136],"consists":[90],"two":[92,144],"phases,":[93],"first":[95],"one;":[96],"likely":[99],"each":[102],"pixel":[103],"estimated":[105],"by":[106],"exploiting":[107],"principle":[109],"Self-Organizing":[111],"Maps":[112],"Kohonan":[114],"algorithm":[117],"winner":[119],"takes":[120],"all.":[121],"second":[123],"regularization":[127],"displacement":[131],"field":[132],"consideration":[134],"tested":[141],"on":[142],"real":[145],"sequences.":[146]},"counts_by_year":[],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}
