{"id":"https://openalex.org/W2135868019","doi":"https://doi.org/10.1109/icecc.2004.1269541","title":"Modality control of an active camera for an object recognition task","display_name":"Modality control of an active camera for an object recognition task","publication_year":2004,"publication_date":"2004-01-01","ids":{"openalex":"https://openalex.org/W2135868019","doi":"https://doi.org/10.1109/icecc.2004.1269541","mag":"2135868019"},"language":"en","primary_location":{"id":"doi:10.1109/icecc.2004.1269541","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icecc.2004.1269541","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"14th International Conference on Electronics, Communications and Computers, 2004. CONIELECOMP 2004.","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/A5054458256","display_name":"Felipe Trujillo-Romero","orcid":"https://orcid.org/0000-0003-3755-2637"},"institutions":[{"id":"https://openalex.org/I184999862","display_name":"Universidad de Salamanca","ror":"https://ror.org/02f40zc51","country_code":"ES","type":"education","lineage":["https://openalex.org/I184999862"]},{"id":"https://openalex.org/I129858807","display_name":"Universidad de Guanajuato","ror":"https://ror.org/058cjye32","country_code":"MX","type":"education","lineage":["https://openalex.org/I129858807"]}],"countries":["ES","MX"],"is_corresponding":true,"raw_author_name":"F. Trujillo-Romero","raw_affiliation_strings":["F.I.M.E.E., Universidad de Guanajuato, Salamanca, Guanajuato, Mexico","Univ. de Guanajuato FIMEE, Salamanca, Spain"],"affiliations":[{"raw_affiliation_string":"F.I.M.E.E., Universidad de Guanajuato, Salamanca, Guanajuato, Mexico","institution_ids":["https://openalex.org/I129858807"]},{"raw_affiliation_string":"Univ. de Guanajuato FIMEE, Salamanca, Spain","institution_ids":["https://openalex.org/I184999862"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5082419508","display_name":"V\u00edctor Ayala-Ram\u00edrez","orcid":"https://orcid.org/0000-0002-0356-9310"},"institutions":[{"id":"https://openalex.org/I184999862","display_name":"Universidad de Salamanca","ror":"https://ror.org/02f40zc51","country_code":"ES","type":"education","lineage":["https://openalex.org/I184999862"]},{"id":"https://openalex.org/I129858807","display_name":"Universidad de Guanajuato","ror":"https://ror.org/058cjye32","country_code":"MX","type":"education","lineage":["https://openalex.org/I129858807"]}],"countries":["ES","MX"],"is_corresponding":false,"raw_author_name":"V. Ayala-Ramirez","raw_affiliation_strings":["F.I.M.E.E., Universidad de Guanajuato, Salamanca, Guanajuato, Mexico","Univ. de Guanajuato FIMEE, Salamanca, Spain"],"affiliations":[{"raw_affiliation_string":"F.I.M.E.E., Universidad de Guanajuato, Salamanca, Guanajuato, Mexico","institution_ids":["https://openalex.org/I129858807"]},{"raw_affiliation_string":"Univ. de Guanajuato FIMEE, Salamanca, Spain","institution_ids":["https://openalex.org/I184999862"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5015746358","display_name":"Ren\u00e9 Jaime-Rivas","orcid":null},"institutions":[{"id":"https://openalex.org/I129858807","display_name":"Universidad de Guanajuato","ror":"https://ror.org/058cjye32","country_code":"MX","type":"education","lineage":["https://openalex.org/I129858807"]},{"id":"https://openalex.org/I184999862","display_name":"Universidad de Salamanca","ror":"https://ror.org/02f40zc51","country_code":"ES","type":"education","lineage":["https://openalex.org/I184999862"]}],"countries":["ES","MX"],"is_corresponding":false,"raw_author_name":"R. Jaime-Rivas","raw_affiliation_strings":["F.I.M.E.E., Universidad de Guanajuato, Salamanca, Guanajuato, Mexico","Univ. de Guanajuato FIMEE, Salamanca, Spain"],"affiliations":[{"raw_affiliation_string":"F.I.M.E.E., Universidad de Guanajuato, Salamanca, Guanajuato, Mexico","institution_ids":["https://openalex.org/I129858807"]},{"raw_affiliation_string":"Univ. de Guanajuato FIMEE, Salamanca, Spain","institution_ids":["https://openalex.org/I184999862"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5054458256"],"corresponding_institution_ids":["https://openalex.org/I129858807","https://openalex.org/I184999862"],"apc_list":null,"apc_paid":null,"fwci":19.5271,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.98814197,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":null,"biblio":{"volume":"732","issue":null,"first_page":"14","last_page":"17"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10191","display_name":"Robotics and Sensor-Based Localization","score":0.9977999925613403,"subfield":{"id":"https://openalex.org/subfields/2202","display_name":"Aerospace Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T10191","display_name":"Robotics and Sensor-Based Localization","score":0.9977999925613403,"subfield":{"id":"https://openalex.org/subfields/2202","display_name":"Aerospace Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10586","display_name":"Robotic Path Planning Algorithms","score":0.9976999759674072,"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/T10531","display_name":"Advanced Vision and Imaging","score":0.9937000274658203,"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/computer-science","display_name":"Computer science","score":0.7370866537094116},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.7183910608291626},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.6604568958282471},{"id":"https://openalex.org/keywords/object","display_name":"Object (grammar)","score":0.5878455638885498},{"id":"https://openalex.org/keywords/active-vision","display_name":"Active vision","score":0.5421491861343384},{"id":"https://openalex.org/keywords/active-perception","display_name":"Active perception","score":0.5336160659790039},{"id":"https://openalex.org/keywords/cognitive-neuroscience-of-visual-object-recognition","display_name":"Cognitive neuroscience of visual object recognition","score":0.5191980600357056},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.5152154564857483},{"id":"https://openalex.org/keywords/active-learning","display_name":"Active learning (machine learning)","score":0.48081672191619873},{"id":"https://openalex.org/keywords/process","display_name":"Process (computing)","score":0.43023478984832764},{"id":"https://openalex.org/keywords/learning-object","display_name":"Learning object","score":0.4241830110549927},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.420573353767395},{"id":"https://openalex.org/keywords/object-detection","display_name":"Object detection","score":0.4105778634548187},{"id":"https://openalex.org/keywords/robot","display_name":"Robot","score":0.18745234608650208}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7370866537094116},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7183910608291626},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.6604568958282471},{"id":"https://openalex.org/C2781238097","wikidata":"https://www.wikidata.org/wiki/Q175026","display_name":"Object (grammar)","level":2,"score":0.5878455638885498},{"id":"https://openalex.org/C193611912","wikidata":"https://www.wikidata.org/wiki/Q4677596","display_name":"Active vision","level":2,"score":0.5421491861343384},{"id":"https://openalex.org/C2776010242","wikidata":"https://www.wikidata.org/wiki/Q4677575","display_name":"Active perception","level":3,"score":0.5336160659790039},{"id":"https://openalex.org/C64876066","wikidata":"https://www.wikidata.org/wiki/Q5141226","display_name":"Cognitive neuroscience of visual object recognition","level":3,"score":0.5191980600357056},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.5152154564857483},{"id":"https://openalex.org/C77967617","wikidata":"https://www.wikidata.org/wiki/Q4677561","display_name":"Active learning (machine learning)","level":2,"score":0.48081672191619873},{"id":"https://openalex.org/C98045186","wikidata":"https://www.wikidata.org/wiki/Q205663","display_name":"Process (computing)","level":2,"score":0.43023478984832764},{"id":"https://openalex.org/C2779542340","wikidata":"https://www.wikidata.org/wiki/Q1062461","display_name":"Learning object","level":2,"score":0.4241830110549927},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.420573353767395},{"id":"https://openalex.org/C2776151529","wikidata":"https://www.wikidata.org/wiki/Q3045304","display_name":"Object detection","level":3,"score":0.4105778634548187},{"id":"https://openalex.org/C90509273","wikidata":"https://www.wikidata.org/wiki/Q11012","display_name":"Robot","level":2,"score":0.18745234608650208},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/icecc.2004.1269541","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icecc.2004.1269541","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"14th International Conference on Electronics, Communications and Computers, 2004. CONIELECOMP 2004.","raw_type":"proceedings-article"},{"id":"pmh:oai:CiteSeerX.psu:10.1.1.125.9603","is_oa":false,"landing_page_url":"http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.125.9603","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"http://www.cse.buffalo.edu/~peter/cse668/readings/Trujillo-Romero_2004.pdf","raw_type":"text"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/10","score":0.47999998927116394,"display_name":"Reduced inequalities"},{"id":"https://metadata.un.org/sdg/16","score":0.4699999988079071,"display_name":"Peace, Justice and strong institutions"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":4,"referenced_works":["https://openalex.org/W1508300798","https://openalex.org/W1909409790","https://openalex.org/W2150839555","https://openalex.org/W2158813412"],"related_works":["https://openalex.org/W2046314614","https://openalex.org/W2155025958","https://openalex.org/W3165101072","https://openalex.org/W4243970992","https://openalex.org/W2152817250","https://openalex.org/W2124096728","https://openalex.org/W1997021071","https://openalex.org/W2920098477","https://openalex.org/W3088223580","https://openalex.org/W4287666941"],"abstract_inverted_index":{"In":[0,33],"this":[1],"paper,":[2],"we":[3,86,171],"show":[4],"an":[5,25,30,80,112],"active":[6,26,70,81],"object":[7,135],"recognition":[8,175],"system.":[9],"This":[10,123],"system":[11,38,110,181],"uses":[12],"a":[13,34,40,48,53,104,127,146,160,174,199],"mutual":[14],"information":[15],"framework":[16],"in":[17,98,120,150],"order":[18],"to":[19,101,183,190],"choose":[20],"the":[21,62,88,99,130,133,141,154],"optimal":[22,113],"parameters":[23],"of":[24,42,47,55,64,92,96,132,148,177,197],"camera":[27],"for":[28,68,79],"recognizing":[29],"unknown":[31,134],"object.":[32],"learning":[35],"step,":[36],"our":[37,69,109,121,151,167],"builds":[39],"database":[41],"all":[43],"objects":[44,100,119,169],"by":[45],"means":[46],"controlled":[49],"acquisition":[50],"process":[51],"over":[52,145],"set":[54,63,161],"actions.":[56],"These":[57],"actions":[58],"are":[59],"taken":[60],"from":[61],"different":[65,163],"feasible":[66],"configurations":[67],"sensor.":[71],"Actions":[72],"include":[73],"pan,":[74],"tilt":[75],"and":[76,170],"zoom":[77],"values":[78],"camera.":[82],"For":[83],"every":[84],"action,":[85],"compute":[87],"conditional":[89],"probability":[90],"density":[91],"observing":[93],"some":[94],"features":[95],"interest":[97,149],"recognize.":[102],"Using":[103],"sequential":[105],"decision":[106,128],"making":[107,198],"process,":[108],"determines":[111],"action":[114],"that":[115],"increases":[116],"discrimination":[117,155],"between":[118],"database.":[122],"procedure":[124],"iterates":[125],"until":[126],"about":[129,178,185],"class":[131],"can":[136],"be":[137],"done.":[138],"We":[139,157],"use":[140],"color":[142],"patch":[143],"mean":[144],"region":[147],"image":[152],"as":[153,166],"feature.":[156],"have":[158,172],"used":[159],"8":[162],"soda":[164],"bottles":[165],"test":[168],"obtained":[173],"rate":[176],"99%.":[179],"The":[180],"needs":[182],"iterate":[184],"4":[186,192],"times":[187],"(that":[188],"is,":[189],"perform":[191],"actions)":[193],"before":[194],"being":[195],"capable":[196],"decision.":[200]},"counts_by_year":[],"updated_date":"2026-04-05T17:49:38.594831","created_date":"2025-10-10T00:00:00"}