{"id":"https://openalex.org/W1990875963","doi":"https://doi.org/10.1109/scis-isis.2014.7044808","title":"Object recognition based on inhibition-of-return control using particle filter","display_name":"Object recognition based on inhibition-of-return control using particle filter","publication_year":2014,"publication_date":"2014-12-01","ids":{"openalex":"https://openalex.org/W1990875963","doi":"https://doi.org/10.1109/scis-isis.2014.7044808","mag":"1990875963"},"language":"en","primary_location":{"id":"doi:10.1109/scis-isis.2014.7044808","is_oa":false,"landing_page_url":"https://doi.org/10.1109/scis-isis.2014.7044808","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2014 Joint 7th International Conference on Soft Computing and Intelligent Systems (SCIS) and 15th International Symposium on Advanced Intelligent Systems (ISIS)","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/A5090733402","display_name":"Yasuto Tamura","orcid":null},"institutions":[{"id":"https://openalex.org/I41802502","display_name":"Kanagawa University","ror":"https://ror.org/02j6c0d67","country_code":"JP","type":"education","lineage":["https://openalex.org/I41802502"]}],"countries":["JP"],"is_corresponding":true,"raw_author_name":"Yasuto Tamura","raw_affiliation_strings":["Department of Mechanical Engineering, Kanagawa University, Kanagawa, Japan","Department of Mechanical Engineering., Kanagawa University., Kanagawa, Japan"],"affiliations":[{"raw_affiliation_string":"Department of Mechanical Engineering, Kanagawa University, Kanagawa, Japan","institution_ids":["https://openalex.org/I41802502"]},{"raw_affiliation_string":"Department of Mechanical Engineering., Kanagawa University., Kanagawa, Japan","institution_ids":["https://openalex.org/I41802502"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5085412119","display_name":"Hun\u2010ok Lim","orcid":"https://orcid.org/0009-0001-9116-8663"},"institutions":[{"id":"https://openalex.org/I41802502","display_name":"Kanagawa University","ror":"https://ror.org/02j6c0d67","country_code":"JP","type":"education","lineage":["https://openalex.org/I41802502"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Hun-ok Lim","raw_affiliation_strings":["Department of Mechanical Engineering, Kanagawa University, Kanagawa, Japan","Department of Mechanical Engineering., Kanagawa University., Kanagawa, Japan"],"affiliations":[{"raw_affiliation_string":"Department of Mechanical Engineering, Kanagawa University, Kanagawa, Japan","institution_ids":["https://openalex.org/I41802502"]},{"raw_affiliation_string":"Department of Mechanical Engineering., Kanagawa University., Kanagawa, Japan","institution_ids":["https://openalex.org/I41802502"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5090733402"],"corresponding_institution_ids":["https://openalex.org/I41802502"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.06661533,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"50","issue":null,"first_page":"1428","last_page":"1432"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10627","display_name":"Advanced Image and Video Retrieval Techniques","score":0.9983000159263611,"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/T10627","display_name":"Advanced Image and Video Retrieval Techniques","score":0.9983000159263611,"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":0.9968000054359436,"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/T11605","display_name":"Visual Attention and Saliency Detection","score":0.996399998664856,"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":0.7736471891403198},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.7695776224136353},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.7146276235580444},{"id":"https://openalex.org/keywords/cognitive-neuroscience-of-visual-object-recognition","display_name":"Cognitive neuroscience of visual object recognition","score":0.663894534111023},{"id":"https://openalex.org/keywords/robot","display_name":"Robot","score":0.6545894742012024},{"id":"https://openalex.org/keywords/object","display_name":"Object (grammar)","score":0.6466459035873413},{"id":"https://openalex.org/keywords/3d-single-object-recognition","display_name":"3D single-object recognition","score":0.6184640526771545},{"id":"https://openalex.org/keywords/particle-filter","display_name":"Particle filter","score":0.5730329155921936},{"id":"https://openalex.org/keywords/service-robot","display_name":"Service robot","score":0.5088768005371094},{"id":"https://openalex.org/keywords/video-tracking","display_name":"Video tracking","score":0.463043749332428},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.4597402513027191},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.43967312574386597},{"id":"https://openalex.org/keywords/filter","display_name":"Filter (signal processing)","score":0.4366764724254608},{"id":"https://openalex.org/keywords/object-detection","display_name":"Object detection","score":0.43627840280532837}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7736471891403198},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7695776224136353},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.7146276235580444},{"id":"https://openalex.org/C64876066","wikidata":"https://www.wikidata.org/wiki/Q5141226","display_name":"Cognitive neuroscience of visual object recognition","level":3,"score":0.663894534111023},{"id":"https://openalex.org/C90509273","wikidata":"https://www.wikidata.org/wiki/Q11012","display_name":"Robot","level":2,"score":0.6545894742012024},{"id":"https://openalex.org/C2781238097","wikidata":"https://www.wikidata.org/wiki/Q175026","display_name":"Object (grammar)","level":2,"score":0.6466459035873413},{"id":"https://openalex.org/C14551309","wikidata":"https://www.wikidata.org/wiki/Q4636325","display_name":"3D single-object recognition","level":4,"score":0.6184640526771545},{"id":"https://openalex.org/C52421305","wikidata":"https://www.wikidata.org/wiki/Q1151499","display_name":"Particle filter","level":3,"score":0.5730329155921936},{"id":"https://openalex.org/C2776228582","wikidata":"https://www.wikidata.org/wiki/Q7455797","display_name":"Service robot","level":3,"score":0.5088768005371094},{"id":"https://openalex.org/C202474056","wikidata":"https://www.wikidata.org/wiki/Q1931635","display_name":"Video tracking","level":3,"score":0.463043749332428},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.4597402513027191},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.43967312574386597},{"id":"https://openalex.org/C106131492","wikidata":"https://www.wikidata.org/wiki/Q3072260","display_name":"Filter (signal processing)","level":2,"score":0.4366764724254608},{"id":"https://openalex.org/C2776151529","wikidata":"https://www.wikidata.org/wiki/Q3045304","display_name":"Object detection","level":3,"score":0.43627840280532837}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/scis-isis.2014.7044808","is_oa":false,"landing_page_url":"https://doi.org/10.1109/scis-isis.2014.7044808","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2014 Joint 7th International Conference on Soft Computing and Intelligent Systems (SCIS) and 15th International Symposium on Advanced Intelligent Systems (ISIS)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Quality Education","id":"https://metadata.un.org/sdg/4","score":0.5}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":21,"referenced_works":["https://openalex.org/W74601114","https://openalex.org/W1655385969","https://openalex.org/W1677409904","https://openalex.org/W1988281247","https://openalex.org/W1991472080","https://openalex.org/W2031725563","https://openalex.org/W2070645165","https://openalex.org/W2073887351","https://openalex.org/W2089481269","https://openalex.org/W2098613108","https://openalex.org/W2105573586","https://openalex.org/W2113244983","https://openalex.org/W2117228865","https://openalex.org/W2119605622","https://openalex.org/W2122146326","https://openalex.org/W2128272608","https://openalex.org/W2153652576","https://openalex.org/W2154123859","https://openalex.org/W2160337655","https://openalex.org/W2400322666","https://openalex.org/W6668195140"],"related_works":["https://openalex.org/W196505194","https://openalex.org/W2578478211","https://openalex.org/W2207218974","https://openalex.org/W2387237626","https://openalex.org/W2182443753","https://openalex.org/W2403129783","https://openalex.org/W2188151889","https://openalex.org/W2117145672","https://openalex.org/W2605326698","https://openalex.org/W2806580622"],"abstract_inverted_index":{"We":[0],"propose":[1],"an":[2,53],"object":[3,22,54],"recognition":[4,23,52],"method":[5,75,100],"based":[6,79],"on":[7,80],"a":[8,11],"saliency":[9,81],"using":[10,55],"reference":[12],"video":[13,83],"containing":[14],"complex":[15,60],"background":[16],"for":[17],"service":[18],"robots.":[19],"In":[20,62],"previous":[21],"methods,":[24],"in":[25,38,70],"training":[26],"phase,":[27],"images":[28],"that":[29,58,97],"the":[30,46,66,71,88,91],"user":[31],"prepares":[32],"contain":[33,59],"mostly":[34],"simple":[35],"background.":[36],"However,":[37],"order":[39,63],"to":[40,51,64],"make":[41],"robots":[42,47],"perform":[43],"daily":[44],"tasks,":[45],"should":[48],"be":[49],"able":[50],"teaching":[56],"scene":[57],"backgrounds.":[61],"decrease":[65],"effect":[67],"of":[68,90],"features":[69,78],"background,":[72],"our":[73,98],"proposed":[74,92,99],"classifies":[76],"local":[77],"from":[82],"images.":[84],"This":[85],"paper":[86],"shows":[87],"efficacy":[89],"method;":[93],"furthermore,":[94],"we":[95],"demonstrate":[96],"recognizes":[101],"certain":[102],"objects.":[103]},"counts_by_year":[],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}