{"id":"https://openalex.org/W2097175948","doi":"https://doi.org/10.1109/irds.2002.1041403","title":"Fish catching by visual servoing and observed intelligence of the fish","display_name":"Fish catching by visual servoing and observed intelligence of the fish","publication_year":2003,"publication_date":"2003-06-25","ids":{"openalex":"https://openalex.org/W2097175948","doi":"https://doi.org/10.1109/irds.2002.1041403","mag":"2097175948"},"language":"en","primary_location":{"id":"doi:10.1109/irds.2002.1041403","is_oa":false,"landing_page_url":"https://doi.org/10.1109/irds.2002.1041403","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE/RSJ International Conference on Intelligent Robots and System","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/A5057947442","display_name":"Hidekazu Suzuki","orcid":"https://orcid.org/0000-0002-9859-0699"},"institutions":[{"id":"https://openalex.org/I111966504","display_name":"University of Fukui","ror":"https://ror.org/00msqp585","country_code":"JP","type":"education","lineage":["https://openalex.org/I111966504"]},{"id":"https://openalex.org/I125590103","display_name":"Fukui University of Technology","ror":"https://ror.org/01tm0rr86","country_code":"JP","type":"education","lineage":["https://openalex.org/I125590103"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"H. Suzuki","raw_affiliation_strings":["Fukui University of Technology, Fukui, Japan","Fukui Univ., Japan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Fukui University of Technology, Fukui, Japan","institution_ids":["https://openalex.org/I125590103"]},{"raw_affiliation_string":"Fukui Univ., Japan","institution_ids":["https://openalex.org/I111966504"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5073454546","display_name":"Mamoru Minami","orcid":null},"institutions":[{"id":"https://openalex.org/I111966504","display_name":"University of Fukui","ror":"https://ror.org/00msqp585","country_code":"JP","type":"education","lineage":["https://openalex.org/I111966504"]},{"id":"https://openalex.org/I125590103","display_name":"Fukui University of Technology","ror":"https://ror.org/01tm0rr86","country_code":"JP","type":"education","lineage":["https://openalex.org/I125590103"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"M. Minami","raw_affiliation_strings":["Fukui University of Technology, Fukui, Japan","University of Fukui"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Fukui University of Technology, Fukui, Japan","institution_ids":["https://openalex.org/I125590103"]},{"raw_affiliation_string":"University of Fukui","institution_ids":["https://openalex.org/I111966504"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.2695,"has_fulltext":false,"cited_by_count":9,"citation_normalized_percentile":{"value":0.5834111,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":96},"biblio":{"volume":"1","issue":null,"first_page":"287","last_page":"292"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10531","display_name":"Advanced Vision and Imaging","score":0.9987000226974487,"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":0.9987000226974487,"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":0.9961000084877014,"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/T11019","display_name":"Image Enhancement Techniques","score":0.9927999973297119,"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/artificial-intelligence","display_name":"Artificial intelligence","score":0.8255623579025269},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.7791602611541748},{"id":"https://openalex.org/keywords/visual-servoing","display_name":"Visual servoing","score":0.7456008195877075},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7138693332672119},{"id":"https://openalex.org/keywords/object","display_name":"Object (grammar)","score":0.4876004755496979},{"id":"https://openalex.org/keywords/orientation","display_name":"Orientation (vector space)","score":0.4721500873565674},{"id":"https://openalex.org/keywords/image-segmentation","display_name":"Image segmentation","score":0.43526121973991394},{"id":"https://openalex.org/keywords/robot","display_name":"Robot","score":0.41176697611808777},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.3930680453777313},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.15827378630638123}],"concepts":[{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.8255623579025269},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.7791602611541748},{"id":"https://openalex.org/C10912380","wikidata":"https://www.wikidata.org/wiki/Q527952","display_name":"Visual servoing","level":3,"score":0.7456008195877075},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7138693332672119},{"id":"https://openalex.org/C2781238097","wikidata":"https://www.wikidata.org/wiki/Q175026","display_name":"Object (grammar)","level":2,"score":0.4876004755496979},{"id":"https://openalex.org/C16345878","wikidata":"https://www.wikidata.org/wiki/Q107472979","display_name":"Orientation (vector space)","level":2,"score":0.4721500873565674},{"id":"https://openalex.org/C124504099","wikidata":"https://www.wikidata.org/wiki/Q56933","display_name":"Image segmentation","level":3,"score":0.43526121973991394},{"id":"https://openalex.org/C90509273","wikidata":"https://www.wikidata.org/wiki/Q11012","display_name":"Robot","level":2,"score":0.41176697611808777},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.3930680453777313},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.15827378630638123},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/irds.2002.1041403","is_oa":false,"landing_page_url":"https://doi.org/10.1109/irds.2002.1041403","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE/RSJ International Conference on Intelligent Robots and System","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/14","score":0.7699999809265137,"display_name":"Life below water"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":11,"referenced_works":["https://openalex.org/W12847310","https://openalex.org/W1980019759","https://openalex.org/W2032109094","https://openalex.org/W2102248717","https://openalex.org/W2113571459","https://openalex.org/W2164039180","https://openalex.org/W2167890514","https://openalex.org/W3023540311","https://openalex.org/W4237293630","https://openalex.org/W6633512548","https://openalex.org/W6677092994"],"related_works":["https://openalex.org/W2126852585","https://openalex.org/W2367086100","https://openalex.org/W2352270872","https://openalex.org/W2386520554","https://openalex.org/W1520171478","https://openalex.org/W4317830657","https://openalex.org/W3024380338","https://openalex.org/W110066474","https://openalex.org/W2147915859","https://openalex.org/W4386459930"],"abstract_inverted_index":{"This":[0],"paper":[1],"presents":[2],"a":[3,8,62,168,177],"vision":[4],"related":[5],"technique":[6,194],"for":[7,122],"manipulator":[9,185],"real-time":[10,123],"visual":[11,34],"servoing":[12],"to":[13,23,58,100,107,137,150,158,166,180],"catch":[14,174],"fish":[15,21,169],"and":[16,41,49,111,142,146,149,161,173],"intelligent":[17],"observation":[18],"of":[19,45,61,74,83,183,191],"the":[20,26,30,39,50,72,75,81,108,132,139,144,152,181,184,192],"trying":[22],"escape":[24],"from":[25,103],"net":[27,178],"attached":[28,179],"at":[29],"robot":[31],"hand.":[32],"The":[33,91,125,189],"recognition":[35,60,163],"method":[36],"utilizes":[37],"both":[38],"global":[40,126],"local":[42,133],"search":[43],"features":[44],"genetic":[46],"algorithm":[47],"(GA)":[48],"unprocessed":[51],"gray-scale":[52],"image":[53,106],"(or":[54],"raw-image)":[55],"in":[56,69,135],"order":[57,136],"perform":[59],"known":[63],"target":[64,140],"object":[65,85],"being":[66],"imaged.":[67],"Also,":[68],"GA":[70,127,134],"process,":[71],"computation":[73],"fitness":[76],"function":[77],"is":[78,93,97,120,128,195],"based":[79],"on":[80],"configuration":[82],"an":[84,104],"model":[86],"designated":[87],"as":[88,157],"surface-strips":[89],"model.":[90],"raw-image":[92],"used":[94],"since":[95],"it":[96,175],"more":[98],"tolerant":[99],"contrast":[101],"variations":[102],"input":[105],"next":[109],"one,":[110],"does":[112],"not":[113],"require":[114],"any":[115],"filtering":[116],"processing":[117],"time,":[118],"which":[119],"useful":[121],"recognition.":[124],"utilized":[129],"together":[130],"with":[131,176],"recognize":[138],"shape":[141],"detect":[143],"position":[145],"orientation":[147],"simultaneously,":[148],"increase":[151],"GA's":[153],"convergence":[154],"speed":[155],"so":[156],"provide":[159],"faster":[160],"better":[162],"results.":[164],"Experiments":[165],"track":[167],"by":[170],"hand-eye":[171],"camera":[172],"hand":[182],"were":[186],"carried":[187],"out.":[188],"effectiveness":[190],"proposed":[193],"demonstrated.":[196]},"counts_by_year":[{"year":2020,"cited_by_count":1},{"year":2015,"cited_by_count":1},{"year":2013,"cited_by_count":2},{"year":2012,"cited_by_count":1}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}
