{"id":"https://openalex.org/W2134649218","doi":"https://doi.org/10.1109/robot.2005.1570335","title":"Integration of Model-based and Model-free Cues for Visual Object Tracking in 3D","display_name":"Integration of Model-based and Model-free Cues for Visual Object Tracking in 3D","publication_year":2006,"publication_date":"2006-01-18","ids":{"openalex":"https://openalex.org/W2134649218","doi":"https://doi.org/10.1109/robot.2005.1570335","mag":"2134649218"},"language":"en","primary_location":{"id":"doi:10.1109/robot.2005.1570335","is_oa":false,"landing_page_url":"https://doi.org/10.1109/robot.2005.1570335","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2005 IEEE International Conference on Robotics and Automation","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/A5080940147","display_name":"Ville Kyrki","orcid":"https://orcid.org/0000-0002-5230-5549"},"institutions":[{"id":"https://openalex.org/I63548447","display_name":"Lappeenranta-Lahti University of Technology","ror":"https://ror.org/0208vgz68","country_code":"FI","type":"education","lineage":["https://openalex.org/I63548447"]}],"countries":["FI"],"is_corresponding":true,"raw_author_name":"V. Kyrki","raw_affiliation_strings":["Laboratory of Information Processing, Lappeenranta University of Technology, Lappeeranta, Finland","Laboratory of Information Processing Lappeenranta University of Technology P.O. Box 20, FIN-53851 Lappeenranta, Finland ville.kyrki@lut.fi"],"affiliations":[{"raw_affiliation_string":"Laboratory of Information Processing, Lappeenranta University of Technology, Lappeeranta, Finland","institution_ids":["https://openalex.org/I63548447"]},{"raw_affiliation_string":"Laboratory of Information Processing Lappeenranta University of Technology P.O. Box 20, FIN-53851 Lappeenranta, Finland ville.kyrki@lut.fi","institution_ids":["https://openalex.org/I63548447"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5023792180","display_name":"Danica Kragi\u0107","orcid":"https://orcid.org/0000-0003-2965-2953"},"institutions":[{"id":"https://openalex.org/I86987016","display_name":"KTH Royal Institute of Technology","ror":"https://ror.org/026vcq606","country_code":"SE","type":"education","lineage":["https://openalex.org/I86987016"]}],"countries":["SE"],"is_corresponding":false,"raw_author_name":"D. Kragic","raw_affiliation_strings":["Centre for Autonomous Systems, Royal Institute of Technology, Stockholm, Sweden"],"affiliations":[{"raw_affiliation_string":"Centre for Autonomous Systems, Royal Institute of Technology, Stockholm, Sweden","institution_ids":["https://openalex.org/I86987016"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5080940147"],"corresponding_institution_ids":["https://openalex.org/I63548447"],"apc_list":null,"apc_paid":null,"fwci":8.8511,"has_fulltext":false,"cited_by_count":51,"citation_normalized_percentile":{"value":0.98233546,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":89,"max":97},"biblio":{"volume":null,"issue":null,"first_page":"1554","last_page":"1560"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10531","display_name":"Advanced Vision and Imaging","score":0.9997000098228455,"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":0.9997000098228455,"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/T10191","display_name":"Robotics and Sensor-Based Localization","score":0.9991000294685364,"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/T10331","display_name":"Video Surveillance and Tracking Methods","score":0.9987999796867371,"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":0.8088909387588501},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.7280421257019043},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.7054747939109802},{"id":"https://openalex.org/keywords/initialization","display_name":"Initialization","score":0.6893266439437866},{"id":"https://openalex.org/keywords/sensory-cue","display_name":"Sensory cue","score":0.5859713554382324},{"id":"https://openalex.org/keywords/tracking","display_name":"Tracking (education)","score":0.5243259072303772},{"id":"https://openalex.org/keywords/enhanced-data-rates-for-gsm-evolution","display_name":"Enhanced Data Rates for GSM Evolution","score":0.5217345952987671},{"id":"https://openalex.org/keywords/kalman-filter","display_name":"Kalman filter","score":0.487234503030777},{"id":"https://openalex.org/keywords/eye-tracking","display_name":"Eye tracking","score":0.47906336188316345},{"id":"https://openalex.org/keywords/video-tracking","display_name":"Video tracking","score":0.4569549560546875},{"id":"https://openalex.org/keywords/object","display_name":"Object (grammar)","score":0.43808242678642273}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8088909387588501},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.7280421257019043},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7054747939109802},{"id":"https://openalex.org/C114466953","wikidata":"https://www.wikidata.org/wiki/Q6034165","display_name":"Initialization","level":2,"score":0.6893266439437866},{"id":"https://openalex.org/C111370547","wikidata":"https://www.wikidata.org/wiki/Q7451120","display_name":"Sensory cue","level":2,"score":0.5859713554382324},{"id":"https://openalex.org/C2775936607","wikidata":"https://www.wikidata.org/wiki/Q466845","display_name":"Tracking (education)","level":2,"score":0.5243259072303772},{"id":"https://openalex.org/C162307627","wikidata":"https://www.wikidata.org/wiki/Q204833","display_name":"Enhanced Data Rates for GSM Evolution","level":2,"score":0.5217345952987671},{"id":"https://openalex.org/C157286648","wikidata":"https://www.wikidata.org/wiki/Q846780","display_name":"Kalman filter","level":2,"score":0.487234503030777},{"id":"https://openalex.org/C56461940","wikidata":"https://www.wikidata.org/wiki/Q970687","display_name":"Eye tracking","level":2,"score":0.47906336188316345},{"id":"https://openalex.org/C202474056","wikidata":"https://www.wikidata.org/wiki/Q1931635","display_name":"Video tracking","level":3,"score":0.4569549560546875},{"id":"https://openalex.org/C2781238097","wikidata":"https://www.wikidata.org/wiki/Q175026","display_name":"Object (grammar)","level":2,"score":0.43808242678642273},{"id":"https://openalex.org/C19417346","wikidata":"https://www.wikidata.org/wiki/Q7922","display_name":"Pedagogy","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},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/robot.2005.1570335","is_oa":false,"landing_page_url":"https://doi.org/10.1109/robot.2005.1570335","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2005 IEEE International Conference on Robotics and Automation","raw_type":"proceedings-article"},{"id":"pmh:oai:CiteSeerX.psu:10.1.1.1014.4413","is_oa":false,"landing_page_url":"http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.1014.4413","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"https://www.researchgate.net/profile/Ville_Kyrki/publication/221070554_Integration_of_Model-based_and_Model-free_Cues_for_Visual_Object_Tracking_in_3D/links/0046351ff800c23bad000000.pdf","raw_type":"text"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":22,"referenced_works":["https://openalex.org/W79571608","https://openalex.org/W1527850601","https://openalex.org/W1588806386","https://openalex.org/W1608095741","https://openalex.org/W1979841516","https://openalex.org/W1980395864","https://openalex.org/W2001948712","https://openalex.org/W2012585528","https://openalex.org/W2075812737","https://openalex.org/W2104315962","https://openalex.org/W2107401725","https://openalex.org/W2108912666","https://openalex.org/W2111308925","https://openalex.org/W2141473805","https://openalex.org/W2150382645","https://openalex.org/W2151103935","https://openalex.org/W2151563462","https://openalex.org/W2158890580","https://openalex.org/W6603201145","https://openalex.org/W6631588141","https://openalex.org/W6635103252","https://openalex.org/W6636536844"],"related_works":["https://openalex.org/W3204184292","https://openalex.org/W3176564347","https://openalex.org/W1985458517","https://openalex.org/W2355833770","https://openalex.org/W3031039437","https://openalex.org/W183202219","https://openalex.org/W3095877357","https://openalex.org/W2072565696","https://openalex.org/W2050451745","https://openalex.org/W2378903222"],"abstract_inverted_index":{"Vision":[0],"is":[1,23,33,123],"one":[2],"of":[3,18,29,42,53,60,66,85,99,117,140],"the":[4,30,61,64,138],"most":[5,52],"powerful":[6],"sensory":[7],"modalities":[8],"in":[9,13,73,83,107,125,132],"robotics,":[10],"allowing":[11],"operation":[12],"dynamic":[14],"envi":[15],"ronments.":[16],"One":[17],"our":[19],"long-term":[20],"research":[21],"interests":[22],"mobile":[24],"manipulation,":[25],"where":[26],"precise":[27],"location":[28],"target":[31],"object":[32],"commonly":[34],"required":[35],"during":[36],"task":[37],"execution.":[38],"Recently,":[39],"a":[40,92,126],"number":[41],"approaches":[43],"have":[44],"been":[45],"proposed":[46],"for":[47],"real-time":[48],"3D":[49],"tracking":[50,94,111],"and":[51,79,113],"them":[54],"utilize":[55],"an":[56,67],"edge":[57,68,118],"(wireframe)":[58],"model":[59,69],"target.":[62],"However,":[63],"use":[65],"has":[70],"significant":[71],"problems":[72],"complex":[74],"scenes":[75],"due":[76],"to":[77,109,114],"occlusions":[78],"multiple":[80],"responses,":[81],"especially":[82],"terms":[84],"initialization.":[86],"In":[87],"this":[88],"paper,":[89],"we":[90],"propose":[91],"new":[93],"method":[95],"based":[96,119],"on":[97],"integration":[98,122],"model-based":[100],"cues":[101,142],"with":[102],"automatically":[103],"generated":[104],"model-free":[105,141],"cues,":[106],"order":[108],"improve":[110],"accuracy":[112],"avoid":[115],"weaknesses":[116],"tracking.":[120],"The":[121],"performed":[124],"Kalman":[127],"filter":[128],"framework":[129],"that":[130,137],"operates":[131],"real-time.":[133],"Experimental":[134],"evaluation":[135],"shows":[136],"inclusion":[139],"offers":[143],"superior":[144],"performance.":[145]},"counts_by_year":[{"year":2023,"cited_by_count":1},{"year":2020,"cited_by_count":1},{"year":2019,"cited_by_count":1},{"year":2016,"cited_by_count":1},{"year":2015,"cited_by_count":3},{"year":2014,"cited_by_count":3},{"year":2013,"cited_by_count":2},{"year":2012,"cited_by_count":3}],"updated_date":"2026-04-04T16:13:02.066488","created_date":"2025-10-10T00:00:00"}
