{"id":"https://openalex.org/W1997620627","doi":"https://doi.org/10.1109/robio.2014.7090515","title":"Automatic face tracking system using quadrotors: Control by goal position thresholding","display_name":"Automatic face tracking system using quadrotors: Control by goal position thresholding","publication_year":2014,"publication_date":"2014-12-01","ids":{"openalex":"https://openalex.org/W1997620627","doi":"https://doi.org/10.1109/robio.2014.7090515","mag":"1997620627"},"language":"en","primary_location":{"id":"doi:10.1109/robio.2014.7090515","is_oa":false,"landing_page_url":"https://doi.org/10.1109/robio.2014.7090515","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2014 IEEE International Conference on Robotics and Biomimetics (ROBIO 2014)","raw_type":"proceedings-article"},"type":"conference-paper","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/A5021205687","display_name":"Veerachart Srisamosorn","orcid":"https://orcid.org/0000-0002-6511-1786"},"institutions":[{"id":"https://openalex.org/I74801974","display_name":"The University of Tokyo","ror":"https://ror.org/057zh3y96","country_code":"JP","type":"education","lineage":["https://openalex.org/I74801974"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Veerachart Srisamosorn","raw_affiliation_strings":["Department of Precision Engineering, The University of Tokyo, Tokyo, Japan","Department of Precision Engineering, Graduate School of Engineering, The University of Tokyo, 7-3-1 Hongo, Bunkyo-ku, Tokyo, 113-8656, Japan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Precision Engineering, The University of Tokyo, Tokyo, Japan","institution_ids":["https://openalex.org/I74801974"]},{"raw_affiliation_string":"Department of Precision Engineering, Graduate School of Engineering, The University of Tokyo, 7-3-1 Hongo, Bunkyo-ku, Tokyo, 113-8656, Japan","institution_ids":["https://openalex.org/I74801974"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5014761160","display_name":"Noriaki Kuwahara","orcid":"https://orcid.org/0000-0002-4841-8321"},"institutions":[{"id":"https://openalex.org/I27429435","display_name":"Kyoto Institute of Technology","ror":"https://ror.org/00965ax52","country_code":"JP","type":"education","lineage":["https://openalex.org/I27429435"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Noriaki Kuwahara","raw_affiliation_strings":["The Department of Advanced Fibro-Science, Kyoto Institute of Technology, Kyoto-shi, Japan","Department of Advanced Fibro-Science, Kyoto Institute of Technology, Kyoto-shi, 6068585 Japan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"The Department of Advanced Fibro-Science, Kyoto Institute of Technology, Kyoto-shi, Japan","institution_ids":["https://openalex.org/I27429435"]},{"raw_affiliation_string":"Department of Advanced Fibro-Science, Kyoto Institute of Technology, Kyoto-shi, 6068585 Japan","institution_ids":["https://openalex.org/I27429435"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5021260328","display_name":"Atsushi Yamashita","orcid":"https://orcid.org/0000-0003-1280-069X"},"institutions":[{"id":"https://openalex.org/I74801974","display_name":"The University of Tokyo","ror":"https://ror.org/057zh3y96","country_code":"JP","type":"education","lineage":["https://openalex.org/I74801974"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Atsushi Yamashita","raw_affiliation_strings":["Department of Precision Engineering, The University of Tokyo, Tokyo, Japan","Department of Precision Engineering, Graduate School of Engineering, The University of Tokyo, 7-3-1 Hongo, Bunkyo-ku, Tokyo, 113-8656, Japan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Precision Engineering, The University of Tokyo, Tokyo, Japan","institution_ids":["https://openalex.org/I74801974"]},{"raw_affiliation_string":"Department of Precision Engineering, Graduate School of Engineering, The University of Tokyo, 7-3-1 Hongo, Bunkyo-ku, Tokyo, 113-8656, Japan","institution_ids":["https://openalex.org/I74801974"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5067966594","display_name":"Taiki Ogata","orcid":"https://orcid.org/0000-0002-0590-598X"},"institutions":[{"id":"https://openalex.org/I74801974","display_name":"The University of Tokyo","ror":"https://ror.org/057zh3y96","country_code":"JP","type":"education","lineage":["https://openalex.org/I74801974"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Taiki Ogata","raw_affiliation_strings":["Research into Artifacts, The University of Tokyo, Chiba, Japan","Research into Artifacts, Center for Engineering (RACE), The University of Tokyo, 5-1-5, Kashiwanoha, Kashiwa-shi, Chiba, 277-8568, Japan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Research into Artifacts, The University of Tokyo, Chiba, Japan","institution_ids":["https://openalex.org/I74801974"]},{"raw_affiliation_string":"Research into Artifacts, Center for Engineering (RACE), The University of Tokyo, 5-1-5, Kashiwanoha, Kashiwa-shi, Chiba, 277-8568, Japan","institution_ids":["https://openalex.org/I74801974"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5037920030","display_name":"Jun Ota","orcid":"https://orcid.org/0000-0002-4738-2275"},"institutions":[{"id":"https://openalex.org/I74801974","display_name":"The University of Tokyo","ror":"https://ror.org/057zh3y96","country_code":"JP","type":"education","lineage":["https://openalex.org/I74801974"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Jun Ota","raw_affiliation_strings":["Research into Artifacts, The University of Tokyo, Chiba, Japan","Research into Artifacts, Center for Engineering (RACE), The University of Tokyo, 5-1-5, Kashiwanoha, Kashiwa-shi, Chiba, 277-8568, Japan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Research into Artifacts, The University of Tokyo, Chiba, Japan","institution_ids":["https://openalex.org/I74801974"]},{"raw_affiliation_string":"Research into Artifacts, Center for Engineering (RACE), The University of Tokyo, 5-1-5, Kashiwanoha, Kashiwa-shi, Chiba, 277-8568, Japan","institution_ids":["https://openalex.org/I74801974"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"1314","last_page":"1319"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10331","display_name":"Video Surveillance and Tracking Methods","score":0.9966999888420105,"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/T10331","display_name":"Video Surveillance and Tracking Methods","score":0.9966999888420105,"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/T11448","display_name":"Face recognition and analysis","score":0.9961000084877014,"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/T11707","display_name":"Gaze Tracking and Assistive Technology","score":0.9842000007629395,"subfield":{"id":"https://openalex.org/subfields/1709","display_name":"Human-Computer Interaction"},"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-vision","display_name":"Computer vision","score":0.8036202788352966},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.7558258771896362},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7086992859840393},{"id":"https://openalex.org/keywords/face","display_name":"Face (sociological concept)","score":0.6488219499588013},{"id":"https://openalex.org/keywords/thresholding","display_name":"Thresholding","score":0.6395654678344727},{"id":"https://openalex.org/keywords/facial-motion-capture","display_name":"Facial motion capture","score":0.5858892202377319},{"id":"https://openalex.org/keywords/tracking","display_name":"Tracking (education)","score":0.5763165950775146},{"id":"https://openalex.org/keywords/position","display_name":"Position (finance)","score":0.5720491409301758},{"id":"https://openalex.org/keywords/noise","display_name":"Noise (video)","score":0.5527820587158203},{"id":"https://openalex.org/keywords/face-detection","display_name":"Face detection","score":0.44316476583480835},{"id":"https://openalex.org/keywords/projection","display_name":"Projection (relational algebra)","score":0.4363839626312256},{"id":"https://openalex.org/keywords/facial-recognition-system","display_name":"Facial recognition system","score":0.3163374960422516},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.2320902943611145},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.1896848976612091},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.11206793785095215}],"concepts":[{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.8036202788352966},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7558258771896362},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7086992859840393},{"id":"https://openalex.org/C2779304628","wikidata":"https://www.wikidata.org/wiki/Q3503480","display_name":"Face (sociological concept)","level":2,"score":0.6488219499588013},{"id":"https://openalex.org/C191178318","wikidata":"https://www.wikidata.org/wiki/Q2256906","display_name":"Thresholding","level":3,"score":0.6395654678344727},{"id":"https://openalex.org/C98907195","wikidata":"https://www.wikidata.org/wiki/Q5428562","display_name":"Facial motion capture","level":5,"score":0.5858892202377319},{"id":"https://openalex.org/C2775936607","wikidata":"https://www.wikidata.org/wiki/Q466845","display_name":"Tracking (education)","level":2,"score":0.5763165950775146},{"id":"https://openalex.org/C198082294","wikidata":"https://www.wikidata.org/wiki/Q3399648","display_name":"Position (finance)","level":2,"score":0.5720491409301758},{"id":"https://openalex.org/C99498987","wikidata":"https://www.wikidata.org/wiki/Q2210247","display_name":"Noise (video)","level":3,"score":0.5527820587158203},{"id":"https://openalex.org/C4641261","wikidata":"https://www.wikidata.org/wiki/Q11681085","display_name":"Face detection","level":4,"score":0.44316476583480835},{"id":"https://openalex.org/C57493831","wikidata":"https://www.wikidata.org/wiki/Q3134666","display_name":"Projection (relational algebra)","level":2,"score":0.4363839626312256},{"id":"https://openalex.org/C31510193","wikidata":"https://www.wikidata.org/wiki/Q1192553","display_name":"Facial recognition system","level":3,"score":0.3163374960422516},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.2320902943611145},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.1896848976612091},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.11206793785095215},{"id":"https://openalex.org/C36289849","wikidata":"https://www.wikidata.org/wiki/Q34749","display_name":"Social science","level":1,"score":0.0},{"id":"https://openalex.org/C144024400","wikidata":"https://www.wikidata.org/wiki/Q21201","display_name":"Sociology","level":0,"score":0.0},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.0},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.0},{"id":"https://openalex.org/C10138342","wikidata":"https://www.wikidata.org/wiki/Q43015","display_name":"Finance","level":1,"score":0.0},{"id":"https://openalex.org/C19417346","wikidata":"https://www.wikidata.org/wiki/Q7922","display_name":"Pedagogy","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/robio.2014.7090515","is_oa":false,"landing_page_url":"https://doi.org/10.1109/robio.2014.7090515","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2014 IEEE International Conference on Robotics and Biomimetics (ROBIO 2014)","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":12,"referenced_works":["https://openalex.org/W1643185111","https://openalex.org/W1987526470","https://openalex.org/W1996542724","https://openalex.org/W2024975451","https://openalex.org/W2048077979","https://openalex.org/W2138158112","https://openalex.org/W2144049107","https://openalex.org/W2153062547","https://openalex.org/W2155213669","https://openalex.org/W2160040544","https://openalex.org/W3148598463","https://openalex.org/W6636704036"],"related_works":["https://openalex.org/W2336272890","https://openalex.org/W4308999381","https://openalex.org/W4312238398","https://openalex.org/W3211418293","https://openalex.org/W4308999963","https://openalex.org/W4312081214","https://openalex.org/W4285815683","https://openalex.org/W53042703","https://openalex.org/W325114128","https://openalex.org/W2080594779"],"abstract_inverted_index":{"This":[0],"paper":[1],"proposes":[2],"a":[3],"human":[4,38],"face":[5,122,133],"tracking":[6,107,123],"system":[7],"for":[8],"obtaining":[9],"elderly":[10],"people's":[11],"facial":[12,32],"images,":[13,33],"which":[14,60],"can":[15,61],"be":[16],"used":[17,25],"to":[18,26,70,83],"estimate":[19],"their":[20],"individual":[21],"emotion.":[22],"Quadrotors":[23],"are":[24,125],"overcome":[27],"occlusion":[28],"and":[29,40,56,65,103,141],"obtain":[30],"closer":[31],"while":[34],"Kinect":[35],"sensors":[36],"provide":[37],"detection":[39],"quadrotor":[41,102],"navigation.":[42],"Noise":[43],"from":[44],"the":[45,53,58,72,75,85,91,97,101,132,138,143,146],"measured":[46],"head":[47],"position":[48],"results":[49,124],"in":[50,134],"vibration":[51],"of":[52,74,90,100,131,145],"goal":[54,87],"position,":[55],"subsequently":[57],"quadrotor,":[59,76],"cause":[62],"blurred":[63],"images":[64],"safety":[66],"problem.":[67],"In":[68],"order":[69],"improve":[71],"stability":[73],"we":[77],"propose":[78],"an":[79],"algorithm":[80,92],"using":[81,96],"threshold":[82,109,116],"fix":[84],"quadrotor's":[86],"position.":[88],"Performance":[89],"is":[93,104],"evaluated":[94],"by":[95,128],"detected":[98],"positions":[99],"compared":[105],"with":[106,114],"without":[108],"algorithm,":[110],"as":[111,113],"well":[112],"different":[115],"values.":[117],"Based":[118],"on":[119],"these":[120],"positions,":[121],"also":[126],"calculated":[127],"simulating":[129],"projection":[130],"real":[135],"world":[136],"onto":[137],"image":[139],"plane":[140],"evaluating":[142],"quality":[144],"obtained":[147],"face.":[148]},"counts_by_year":[{"year":2016,"cited_by_count":1}],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}