{"id":"https://openalex.org/W2910451004","doi":"https://doi.org/10.1109/iros.2018.8594300","title":"High-frame-rate Target Tracking with CNN-based Object Recognition","display_name":"High-frame-rate Target Tracking with CNN-based Object Recognition","publication_year":2018,"publication_date":"2018-10-01","ids":{"openalex":"https://openalex.org/W2910451004","doi":"https://doi.org/10.1109/iros.2018.8594300","mag":"2910451004"},"language":"en","primary_location":{"id":"doi:10.1109/iros.2018.8594300","is_oa":false,"landing_page_url":"https://doi.org/10.1109/iros.2018.8594300","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2018 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS)","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/A5005382488","display_name":"Mingjun Jiang","orcid":"https://orcid.org/0000-0003-3826-5488"},"institutions":[{"id":"https://openalex.org/I113306721","display_name":"Hiroshima University","ror":"https://ror.org/03t78wx29","country_code":"JP","type":"education","lineage":["https://openalex.org/I113306721"]}],"countries":["JP"],"is_corresponding":true,"raw_author_name":"Mingjun Jiang","raw_affiliation_strings":["Department of System Cybernetics, Hiroshima University, Higashi-Hiroshima, Hiroshima, Japan"],"affiliations":[{"raw_affiliation_string":"Department of System Cybernetics, Hiroshima University, Higashi-Hiroshima, Hiroshima, Japan","institution_ids":["https://openalex.org/I113306721"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100979637","display_name":"Yihao Gu","orcid":null},"institutions":[{"id":"https://openalex.org/I113306721","display_name":"Hiroshima University","ror":"https://ror.org/03t78wx29","country_code":"JP","type":"education","lineage":["https://openalex.org/I113306721"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Yihao Gu","raw_affiliation_strings":["Department of System Cybernetics, Hiroshima University, Higashi-Hiroshima, Hiroshima, Japan"],"affiliations":[{"raw_affiliation_string":"Department of System Cybernetics, Hiroshima University, Higashi-Hiroshima, Hiroshima, Japan","institution_ids":["https://openalex.org/I113306721"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5081924993","display_name":"Takeshi Takaki","orcid":"https://orcid.org/0000-0003-3213-9130"},"institutions":[{"id":"https://openalex.org/I113306721","display_name":"Hiroshima University","ror":"https://ror.org/03t78wx29","country_code":"JP","type":"education","lineage":["https://openalex.org/I113306721"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Takeshi Takaki","raw_affiliation_strings":["Department of System Cybernetics, Hiroshima University, Higashi-Hiroshima, Hiroshima, Japan"],"affiliations":[{"raw_affiliation_string":"Department of System Cybernetics, Hiroshima University, Higashi-Hiroshima, Hiroshima, Japan","institution_ids":["https://openalex.org/I113306721"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5060719224","display_name":"Idaku Ishii","orcid":"https://orcid.org/0000-0002-7728-2363"},"institutions":[{"id":"https://openalex.org/I113306721","display_name":"Hiroshima University","ror":"https://ror.org/03t78wx29","country_code":"JP","type":"education","lineage":["https://openalex.org/I113306721"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Idaku Ishii","raw_affiliation_strings":["Department of System Cybernetics, Hiroshima University, Higashi-Hiroshima, Hiroshima, Japan"],"affiliations":[{"raw_affiliation_string":"Department of System Cybernetics, Hiroshima University, Higashi-Hiroshima, Hiroshima, Japan","institution_ids":["https://openalex.org/I113306721"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5005382488"],"corresponding_institution_ids":["https://openalex.org/I113306721"],"apc_list":null,"apc_paid":null,"fwci":0.4178,"has_fulltext":false,"cited_by_count":7,"citation_normalized_percentile":{"value":0.68559949,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":96},"biblio":{"volume":null,"issue":null,"first_page":"599","last_page":"606"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10331","display_name":"Video Surveillance and Tracking Methods","score":0.9998999834060669,"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":0.9998999834060669,"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/T11605","display_name":"Visual Attention and Saliency Detection","score":0.9973999857902527,"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":0.996399998664856,"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/artificial-intelligence","display_name":"Artificial intelligence","score":0.8087339997291565},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7782125473022461},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.7584179639816284},{"id":"https://openalex.org/keywords/tracking","display_name":"Tracking (education)","score":0.6976533532142639},{"id":"https://openalex.org/keywords/frame","display_name":"Frame (networking)","score":0.598046064376831},{"id":"https://openalex.org/keywords/frame-rate","display_name":"Frame rate","score":0.5946390628814697},{"id":"https://openalex.org/keywords/video-tracking","display_name":"Video tracking","score":0.551367998123169},{"id":"https://openalex.org/keywords/tilt","display_name":"Tilt (camera)","score":0.48972681164741516},{"id":"https://openalex.org/keywords/tracking-system","display_name":"Tracking system","score":0.4752880334854126},{"id":"https://openalex.org/keywords/cognitive-neuroscience-of-visual-object-recognition","display_name":"Cognitive neuroscience of visual object recognition","score":0.4647969603538513},{"id":"https://openalex.org/keywords/eye-tracking","display_name":"Eye tracking","score":0.44433966279029846},{"id":"https://openalex.org/keywords/object","display_name":"Object (grammar)","score":0.40873903036117554},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.14364320039749146},{"id":"https://openalex.org/keywords/kalman-filter","display_name":"Kalman filter","score":0.09681913256645203}],"concepts":[{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.8087339997291565},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7782125473022461},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.7584179639816284},{"id":"https://openalex.org/C2775936607","wikidata":"https://www.wikidata.org/wiki/Q466845","display_name":"Tracking (education)","level":2,"score":0.6976533532142639},{"id":"https://openalex.org/C126042441","wikidata":"https://www.wikidata.org/wiki/Q1324888","display_name":"Frame (networking)","level":2,"score":0.598046064376831},{"id":"https://openalex.org/C3261483","wikidata":"https://www.wikidata.org/wiki/Q119565","display_name":"Frame rate","level":2,"score":0.5946390628814697},{"id":"https://openalex.org/C202474056","wikidata":"https://www.wikidata.org/wiki/Q1931635","display_name":"Video tracking","level":3,"score":0.551367998123169},{"id":"https://openalex.org/C2779844322","wikidata":"https://www.wikidata.org/wiki/Q2919140","display_name":"Tilt (camera)","level":2,"score":0.48972681164741516},{"id":"https://openalex.org/C154586513","wikidata":"https://www.wikidata.org/wiki/Q4420972","display_name":"Tracking system","level":3,"score":0.4752880334854126},{"id":"https://openalex.org/C64876066","wikidata":"https://www.wikidata.org/wiki/Q5141226","display_name":"Cognitive neuroscience of visual object recognition","level":3,"score":0.4647969603538513},{"id":"https://openalex.org/C56461940","wikidata":"https://www.wikidata.org/wiki/Q970687","display_name":"Eye tracking","level":2,"score":0.44433966279029846},{"id":"https://openalex.org/C2781238097","wikidata":"https://www.wikidata.org/wiki/Q175026","display_name":"Object (grammar)","level":2,"score":0.40873903036117554},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.14364320039749146},{"id":"https://openalex.org/C157286648","wikidata":"https://www.wikidata.org/wiki/Q846780","display_name":"Kalman filter","level":2,"score":0.09681913256645203},{"id":"https://openalex.org/C19417346","wikidata":"https://www.wikidata.org/wiki/Q7922","display_name":"Pedagogy","level":1,"score":0.0},{"id":"https://openalex.org/C78519656","wikidata":"https://www.wikidata.org/wiki/Q101333","display_name":"Mechanical engineering","level":1,"score":0.0},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","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":1,"locations":[{"id":"doi:10.1109/iros.2018.8594300","is_oa":false,"landing_page_url":"https://doi.org/10.1109/iros.2018.8594300","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2018 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS)","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":27,"referenced_works":["https://openalex.org/W161114242","https://openalex.org/W639708223","https://openalex.org/W818325216","https://openalex.org/W1536680647","https://openalex.org/W1686810756","https://openalex.org/W1964846093","https://openalex.org/W1969107967","https://openalex.org/W2068730032","https://openalex.org/W2097117768","https://openalex.org/W2102605133","https://openalex.org/W2118508489","https://openalex.org/W2151103935","https://openalex.org/W2154889144","https://openalex.org/W2161969291","https://openalex.org/W2163605009","https://openalex.org/W2211807644","https://openalex.org/W2244956674","https://openalex.org/W2473868734","https://openalex.org/W2512452641","https://openalex.org/W2520477759","https://openalex.org/W2613718673","https://openalex.org/W2963037989","https://openalex.org/W3097096317","https://openalex.org/W6606595081","https://openalex.org/W6620707391","https://openalex.org/W6623108133","https://openalex.org/W6684191040"],"related_works":["https://openalex.org/W2318603563","https://openalex.org/W1875422203","https://openalex.org/W887692824","https://openalex.org/W2354419434","https://openalex.org/W2211021966","https://openalex.org/W2256387306","https://openalex.org/W2009959527","https://openalex.org/W4285271403","https://openalex.org/W3216382677","https://openalex.org/W3178626677"],"abstract_inverted_index":{"This":[0],"paper":[1],"proposes":[2],"an":[3],"intelligent":[4,43],"and":[5],"fast":[6],"tracking":[7,20,45,53,90],"method":[8,16],"for":[9,103],"robust":[10],"trackability":[11],"against":[12,110],"appearance":[13],"changes.":[14],"The":[15,89],"hybridizes":[17],"a":[18,31,56,79],"correlation-based":[19],"algorithm":[21,35,54,95],"operating":[22,36],"at":[23,37,67],"hundreds":[24],"of":[25,39,70,92],"frames":[26],"per":[27],"second":[28],"(fps)":[29],"with":[30,84],"deep":[32],"learning-based":[33],"recognition":[34],"dozens":[38],"fps.":[40],"A":[41,60],"prototype":[42],"mechanical":[44],"system":[46,83],"was":[47,96],"developed":[48],"by":[49,77,98],"implementing":[50],"our":[51,93],"hybridized":[52],"on":[55],"500-fps":[57],"vision":[58,82],"platform.":[59],"complex-shaped":[61],"target":[62],"can":[63],"be":[64],"robustly":[65],"tracked":[66],"the":[68,71],"center":[69],"camera":[72],"view":[73],"in":[74],"real":[75],"time":[76],"controlling":[78],"pan-tilt":[80],"active":[81],"500":[85],"Hz":[86],"visual":[87],"feedback.":[88],"performance":[91],"proposed":[94],"verified":[97],"showing":[99],"several":[100],"experimental":[101],"results":[102],"pre-learned":[104],"objects,":[105],"which":[106],"were":[107],"quickly":[108],"manipulated":[109],"complex":[111],"backgrounds.":[112]},"counts_by_year":[{"year":2023,"cited_by_count":2},{"year":2022,"cited_by_count":1},{"year":2021,"cited_by_count":2},{"year":2020,"cited_by_count":1},{"year":2019,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
