{"id":"https://openalex.org/W2150841502","doi":"https://doi.org/10.1109/robio.2009.5420765","title":"Machine learning of shooting technique for controlling a robot camera","display_name":"Machine learning of shooting technique for controlling a robot camera","publication_year":2009,"publication_date":"2009-12-01","ids":{"openalex":"https://openalex.org/W2150841502","doi":"https://doi.org/10.1109/robio.2009.5420765","mag":"2150841502"},"language":"en","primary_location":{"id":"doi:10.1109/robio.2009.5420765","is_oa":false,"landing_page_url":"https://doi.org/10.1109/robio.2009.5420765","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2009 IEEE International Conference on Robotics and Biomimetics (ROBIO)","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/A5100884955","display_name":"Makoto Okuda","orcid":null},"institutions":[{"id":"https://openalex.org/I4210107548","display_name":"Japan Broadcasting Corporation (Japan)","ror":"https://ror.org/01s8tz949","country_code":"JP","type":"company","lineage":["https://openalex.org/I4210107548"]}],"countries":["JP"],"is_corresponding":true,"raw_author_name":"Makoto Okuda","raw_affiliation_strings":["Science & Technical Research Laboratories, Japan Broadcasting Corporation, Tokyo, Japan"],"affiliations":[{"raw_affiliation_string":"Science & Technical Research Laboratories, Japan Broadcasting Corporation, Tokyo, Japan","institution_ids":["https://openalex.org/I4210107548"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100991352","display_name":"Seiki Inoue","orcid":null},"institutions":[{"id":"https://openalex.org/I4210107548","display_name":"Japan Broadcasting Corporation (Japan)","ror":"https://ror.org/01s8tz949","country_code":"JP","type":"company","lineage":["https://openalex.org/I4210107548"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Seiki Inoue","raw_affiliation_strings":["Science & Technical Research Laboratories, Japan Broadcasting Corporation, Tokyo, Japan"],"affiliations":[{"raw_affiliation_string":"Science & Technical Research Laboratories, Japan Broadcasting Corporation, Tokyo, Japan","institution_ids":["https://openalex.org/I4210107548"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5109425176","display_name":"Mahito Fujii","orcid":null},"institutions":[{"id":"https://openalex.org/I4210107548","display_name":"Japan Broadcasting Corporation (Japan)","ror":"https://ror.org/01s8tz949","country_code":"JP","type":"company","lineage":["https://openalex.org/I4210107548"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Mahito Fujii","raw_affiliation_strings":["Science & Technical Research Laboratories, Japan Broadcasting Corporation, Tokyo, Japan"],"affiliations":[{"raw_affiliation_string":"Science & Technical Research Laboratories, Japan Broadcasting Corporation, Tokyo, Japan","institution_ids":["https://openalex.org/I4210107548"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5100884955"],"corresponding_institution_ids":["https://openalex.org/I4210107548"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.1892884,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":94},"biblio":{"volume":"2","issue":null,"first_page":"1111","last_page":"1116"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10531","display_name":"Advanced Vision and Imaging","score":0.9995999932289124,"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":0.9995999932289124,"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/T10627","display_name":"Advanced Image and Video Retrieval Techniques","score":0.9976000189781189,"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/T13114","display_name":"Image Processing Techniques and Applications","score":0.9973999857902527,"subfield":{"id":"https://openalex.org/subfields/2214","display_name":"Media Technology"},"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":0.7284656167030334},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6550291776657104},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.650285542011261},{"id":"https://openalex.org/keywords/robot","display_name":"Robot","score":0.6322227120399475},{"id":"https://openalex.org/keywords/trouble-shooting","display_name":"Trouble shooting","score":0.6000595092773438},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.41629230976104736},{"id":"https://openalex.org/keywords/robot-learning","display_name":"Robot learning","score":0.41083523631095886},{"id":"https://openalex.org/keywords/mobile-robot","display_name":"Mobile robot","score":0.26020747423171997},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.14707374572753906}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7284656167030334},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6550291776657104},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.650285542011261},{"id":"https://openalex.org/C90509273","wikidata":"https://www.wikidata.org/wiki/Q11012","display_name":"Robot","level":2,"score":0.6322227120399475},{"id":"https://openalex.org/C3019173896","wikidata":"https://www.wikidata.org/wiki/Q2078905","display_name":"Trouble shooting","level":2,"score":0.6000595092773438},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.41629230976104736},{"id":"https://openalex.org/C188888258","wikidata":"https://www.wikidata.org/wiki/Q7353390","display_name":"Robot learning","level":4,"score":0.41083523631095886},{"id":"https://openalex.org/C19966478","wikidata":"https://www.wikidata.org/wiki/Q4810574","display_name":"Mobile robot","level":3,"score":0.26020747423171997},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.14707374572753906},{"id":"https://openalex.org/C200601418","wikidata":"https://www.wikidata.org/wiki/Q2193887","display_name":"Reliability engineering","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/robio.2009.5420765","is_oa":false,"landing_page_url":"https://doi.org/10.1109/robio.2009.5420765","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2009 IEEE International Conference on Robotics and Biomimetics (ROBIO)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":9,"referenced_works":["https://openalex.org/W1967947238","https://openalex.org/W2061423245","https://openalex.org/W2109779438","https://openalex.org/W2122480387","https://openalex.org/W2325361531","https://openalex.org/W2331797275","https://openalex.org/W3106082879","https://openalex.org/W6676553272","https://openalex.org/W6785713583"],"related_works":["https://openalex.org/W2389886816","https://openalex.org/W4246979939","https://openalex.org/W2383078103","https://openalex.org/W2350128614","https://openalex.org/W4255639906","https://openalex.org/W220627757","https://openalex.org/W2364946130","https://openalex.org/W2355649265","https://openalex.org/W2365897133","https://openalex.org/W2913184176"],"abstract_inverted_index":{"We":[0],"propose":[1],"a":[2,7,13,18,31],"machine":[3,66],"learning":[4,67,79,83],"method":[5],"of":[6,56,77,88],"TV":[8,71],"cameraman's":[9,43],"shooting":[10,44,69],"technique":[11,45],"with":[12,85],"neural":[14,91],"network":[15],"so":[16],"that":[17,33],"robot":[19,58],"camera":[20],"can":[21,46],"automatically":[22],"shoot":[23],"like":[24],"an":[25],"experienced":[26],"cameraman.":[27],"An":[28],"experiment":[29],"using":[30,39],"simulator":[32],"we":[34,61],"developed":[35],"shows":[36],"that,":[37],"by":[38,73],"our":[40],"method,":[41],"the":[42,53,57,75,78,82,86,89],"be":[47],"quickly":[48],"and":[49,81],"easily":[50],"embodied":[51],"in":[52],"control":[54],"system":[55],"camera.":[59],"Moreover,":[60],"derive":[62],"guidelines":[63],"for":[64,68],"performing":[65],"actual":[70],"programs":[72],"analyzing":[74],"relationship":[76],"data":[80],"parameter":[84],"performance":[87],"learned":[90],"network.":[92]},"counts_by_year":[{"year":2014,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}