{"id":"https://openalex.org/W2102965213","doi":"https://doi.org/10.1109/ecctd.2007.4529642","title":"A CNN-based Algorithm for Moving Object Detection in Stereovision Applications","display_name":"A CNN-based Algorithm for Moving Object Detection in Stereovision Applications","publication_year":2007,"publication_date":"2007-08-01","ids":{"openalex":"https://openalex.org/W2102965213","doi":"https://doi.org/10.1109/ecctd.2007.4529642","mag":"2102965213"},"language":"en","primary_location":{"id":"doi:10.1109/ecctd.2007.4529642","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ecctd.2007.4529642","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2007 18th European Conference on Circuit Theory and Design","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/A5056031186","display_name":"Giovanni Costantini","orcid":"https://orcid.org/0000-0001-8675-5532"},"institutions":[{"id":"https://openalex.org/I116067653","display_name":"University of Rome Tor Vergata","ror":"https://ror.org/02p77k626","country_code":"IT","type":"education","lineage":["https://openalex.org/I116067653"]}],"countries":["IT"],"is_corresponding":false,"raw_author_name":"Giovanni Costantini","raw_affiliation_strings":["Department of Electronics Engineering, University of Rome ???Tor Vergata???, Rome, Italy","Dept. of Electron. Eng., Univ. of Rome Tor Vergata, Rome"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Electronics Engineering, University of Rome ???Tor Vergata???, Rome, Italy","institution_ids":["https://openalex.org/I116067653"]},{"raw_affiliation_string":"Dept. of Electron. Eng., Univ. of Rome Tor Vergata, Rome","institution_ids":["https://openalex.org/I116067653"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5029342434","display_name":"Daniele Casali","orcid":"https://orcid.org/0000-0001-8800-728X"},"institutions":[{"id":"https://openalex.org/I116067653","display_name":"University of Rome Tor Vergata","ror":"https://ror.org/02p77k626","country_code":"IT","type":"education","lineage":["https://openalex.org/I116067653"]}],"countries":["IT"],"is_corresponding":false,"raw_author_name":"Daniele Casali","raw_affiliation_strings":["Department of Electronics Engineering, University of Rome ???Tor Vergata???, Rome, Italy","Dept. of Electron. Eng., Univ. of Rome Tor Vergata, Rome"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Electronics Engineering, University of Rome ???Tor Vergata???, Rome, Italy","institution_ids":["https://openalex.org/I116067653"]},{"raw_affiliation_string":"Dept. of Electron. Eng., Univ. of Rome Tor Vergata, Rome","institution_ids":["https://openalex.org/I116067653"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5007055475","display_name":"Massimo Carota","orcid":null},"institutions":[{"id":"https://openalex.org/I116067653","display_name":"University of Rome Tor Vergata","ror":"https://ror.org/02p77k626","country_code":"IT","type":"education","lineage":["https://openalex.org/I116067653"]}],"countries":["IT"],"is_corresponding":false,"raw_author_name":"Massimo Carota","raw_affiliation_strings":["Department of Electronics Engineering, University of Rome ???Tor Vergata???, Rome, Italy","Dept. of Electron. Eng., Univ. of Rome Tor Vergata, Rome"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Electronics Engineering, University of Rome ???Tor Vergata???, Rome, Italy","institution_ids":["https://openalex.org/I116067653"]},{"raw_affiliation_string":"Dept. of Electron. Eng., Univ. of Rome Tor Vergata, Rome","institution_ids":["https://openalex.org/I116067653"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5044527802","display_name":"R. Perfetti","orcid":null},"institutions":[{"id":"https://openalex.org/I27483092","display_name":"University of Perugia","ror":"https://ror.org/00x27da85","country_code":"IT","type":"education","lineage":["https://openalex.org/I27483092"]}],"countries":["IT"],"is_corresponding":false,"raw_author_name":"Renzo Perfetti","raw_affiliation_strings":["Department of Electronics Engineering, University of Perugia, Perugia, Italy","Department of Electronics Engineering, University of Perugia, Italy"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Electronics Engineering, University of Perugia, Perugia, Italy","institution_ids":["https://openalex.org/I27483092"]},{"raw_affiliation_string":"Department of Electronics Engineering, University of Perugia, Italy","institution_ids":["https://openalex.org/I27483092"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.329,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.63328603,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":94},"biblio":{"volume":null,"issue":null,"first_page":"500","last_page":"503"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10531","display_name":"Advanced Vision and Imaging","score":0.9952999949455261,"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":0.9952999949455261,"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/T11347","display_name":"Neural Networks Stability and Synchronization","score":0.9894999861717224,"subfield":{"id":"https://openalex.org/subfields/1705","display_name":"Computer Networks and Communications"},"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/T11992","display_name":"CCD and CMOS Imaging Sensors","score":0.9800999760627747,"subfield":{"id":"https://openalex.org/subfields/2208","display_name":"Electrical and Electronic 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/computer-science","display_name":"Computer science","score":0.7985590696334839},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.7731887698173523},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.7621226906776428},{"id":"https://openalex.org/keywords/cluster-analysis","display_name":"Cluster analysis","score":0.525233268737793},{"id":"https://openalex.org/keywords/noise","display_name":"Noise (video)","score":0.5241727828979492},{"id":"https://openalex.org/keywords/exploit","display_name":"Exploit","score":0.5202954411506653},{"id":"https://openalex.org/keywords/object","display_name":"Object (grammar)","score":0.4973123371601105},{"id":"https://openalex.org/keywords/object-detection","display_name":"Object detection","score":0.48290514945983887},{"id":"https://openalex.org/keywords/position","display_name":"Position (finance)","score":0.48008090257644653},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.3364275097846985},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.18917489051818848}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7985590696334839},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.7731887698173523},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7621226906776428},{"id":"https://openalex.org/C73555534","wikidata":"https://www.wikidata.org/wiki/Q622825","display_name":"Cluster analysis","level":2,"score":0.525233268737793},{"id":"https://openalex.org/C99498987","wikidata":"https://www.wikidata.org/wiki/Q2210247","display_name":"Noise (video)","level":3,"score":0.5241727828979492},{"id":"https://openalex.org/C165696696","wikidata":"https://www.wikidata.org/wiki/Q11287","display_name":"Exploit","level":2,"score":0.5202954411506653},{"id":"https://openalex.org/C2781238097","wikidata":"https://www.wikidata.org/wiki/Q175026","display_name":"Object (grammar)","level":2,"score":0.4973123371601105},{"id":"https://openalex.org/C2776151529","wikidata":"https://www.wikidata.org/wiki/Q3045304","display_name":"Object detection","level":3,"score":0.48290514945983887},{"id":"https://openalex.org/C198082294","wikidata":"https://www.wikidata.org/wiki/Q3399648","display_name":"Position (finance)","level":2,"score":0.48008090257644653},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.3364275097846985},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.18917489051818848},{"id":"https://openalex.org/C10138342","wikidata":"https://www.wikidata.org/wiki/Q43015","display_name":"Finance","level":1,"score":0.0},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.0},{"id":"https://openalex.org/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/ecctd.2007.4529642","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ecctd.2007.4529642","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2007 18th European Conference on Circuit Theory and Design","raw_type":"proceedings-article"},{"id":"pmh:oai:art.torvergata.it:2108/52639","is_oa":false,"landing_page_url":"http://hdl.handle.net/2108/52639","pdf_url":null,"source":{"id":"https://openalex.org/S4306400993","display_name":"Cineca Institutional Research Information System (Tor Vergata University)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I116067653","host_organization_name":"University of Rome Tor Vergata","host_organization_lineage":["https://openalex.org/I116067653"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"info:eu-repo/semantics/conferenceObject"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Reduced inequalities","id":"https://metadata.un.org/sdg/10","score":0.6200000047683716}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":12,"referenced_works":["https://openalex.org/W1549298115","https://openalex.org/W1673310716","https://openalex.org/W1905319925","https://openalex.org/W2056717940","https://openalex.org/W2071450440","https://openalex.org/W2086277117","https://openalex.org/W2121470653","https://openalex.org/W2154391038","https://openalex.org/W2160121923","https://openalex.org/W2174624617","https://openalex.org/W2605363371","https://openalex.org/W6637131181"],"related_works":["https://openalex.org/W17155033","https://openalex.org/W3207760230","https://openalex.org/W1496222301","https://openalex.org/W1590307681","https://openalex.org/W4312814274","https://openalex.org/W4285370786","https://openalex.org/W2296488620","https://openalex.org/W2358353312","https://openalex.org/W2353836703","https://openalex.org/W4292830139"],"abstract_inverted_index":{"In":[0],"this":[1],"paper":[2],"we":[3],"propose":[4],"an":[5],"algorithm":[6],"that":[7],"is":[8,30],"able":[9],"to":[10,38,87,151],"detect":[11],"moving":[12,138],"objects,":[13,19],"returning":[14],"the":[15,60,74,91,94,97,101,105,143],"number":[16],"of":[17,54,57,76,83,93,145],"found":[18],"together":[20],"with":[21,64,66,109],"their":[22],"position,":[23],"shape,":[24],"and":[25,44,125],"approximate":[26],"distance.":[27],"The":[28,52],"system":[29],"based":[31],"on":[32,90],"two":[33,45,77,80,98],"cameras,":[34,99],"which":[35,48],"are":[36,137],"supposed":[37],"be":[39,149],"fixed,":[40],"a":[41,55,130],"digital":[42],"processor,":[43],"analog":[46],"chips,":[47],"perform":[49],"data":[50],"analysis.":[51],"use":[53,144],"couple":[56],"cameras":[58],"improves":[59],"performance":[61],"in":[62,85,100],"comparison":[63],"systems":[65],"only":[67],"one":[68],"camera,":[69],"because":[70],"it":[71],"can":[72,148],"exploit":[73],"availability":[75],"images":[78,147],"from":[79,96],"different":[81,140],"points":[82],"view":[84],"order":[86],"get":[88],"information":[89],"distance":[92],"objects":[95,136],"same":[102],"way":[103],"as":[104],"human":[106],"eye":[107],"does":[108],"its":[110],"so":[111],"called":[112],"\"binocular":[113],"vision\".":[114],"We":[115],"tested":[116],"our":[117],"method":[118],"over":[119],"several":[120],"video":[121],"sequences,":[122],"both":[123],"indoor":[124],"outdoor.":[126],"Experimental":[127],"results":[128],"show":[129],"significantly":[131],"improved":[132],"discrimination":[133],"when":[134],"multiple":[135],"at":[139],"distances.":[141],"Moreover,":[142],"stereo":[146],"exploited":[150],"reduce":[152],"noise,":[153],"improving":[154],"performances":[155],"for":[156],"clustering.":[157]},"counts_by_year":[{"year":2015,"cited_by_count":1}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}