{"id":"https://openalex.org/W4312304263","doi":"https://doi.org/10.1109/tie.2022.3217598","title":"Robust and Accurate Monocular Pose Tracking for Large Pose Shift","display_name":"Robust and Accurate Monocular Pose Tracking for Large Pose Shift","publication_year":2022,"publication_date":"2022-11-04","ids":{"openalex":"https://openalex.org/W4312304263","doi":"https://doi.org/10.1109/tie.2022.3217598"},"language":"en","primary_location":{"id":"doi:10.1109/tie.2022.3217598","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tie.2022.3217598","pdf_url":null,"source":{"id":"https://openalex.org/S58031724","display_name":"IEEE Transactions on Industrial Electronics","issn_l":"0278-0046","issn":["0278-0046","1557-9948"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Industrial Electronics","raw_type":"journal-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/A5045113556","display_name":"Qiufu Wang","orcid":"https://orcid.org/0000-0003-0266-7426"},"institutions":[{"id":"https://openalex.org/I170215575","display_name":"National University of Defense Technology","ror":"https://ror.org/05d2yfz11","country_code":"CN","type":"education","lineage":["https://openalex.org/I170215575"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Qiufu Wang","raw_affiliation_strings":["College of Aerospace Science and Engineering, National University of Defense Technology, Changsha, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"College of Aerospace Science and Engineering, National University of Defense Technology, Changsha, China","institution_ids":["https://openalex.org/I170215575"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5026890752","display_name":"Jiexin Zhou","orcid":"https://orcid.org/0000-0002-7106-404X"},"institutions":[{"id":"https://openalex.org/I170215575","display_name":"National University of Defense Technology","ror":"https://ror.org/05d2yfz11","country_code":"CN","type":"education","lineage":["https://openalex.org/I170215575"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jiexin Zhou","raw_affiliation_strings":["College of Aerospace Science and Engineering, National University of Defense Technology, Changsha, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"College of Aerospace Science and Engineering, National University of Defense Technology, Changsha, China","institution_ids":["https://openalex.org/I170215575"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100418968","display_name":"Zhang Li","orcid":"https://orcid.org/0000-0003-1659-0466"},"institutions":[{"id":"https://openalex.org/I170215575","display_name":"National University of Defense Technology","ror":"https://ror.org/05d2yfz11","country_code":"CN","type":"education","lineage":["https://openalex.org/I170215575"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhang Li","raw_affiliation_strings":["College of Aerospace Science and Engineering, National University of Defense Technology, Changsha, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"College of Aerospace Science and Engineering, National University of Defense Technology, Changsha, China","institution_ids":["https://openalex.org/I170215575"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5077946476","display_name":"Xiaoliang Sun","orcid":"https://orcid.org/0000-0003-3018-8043"},"institutions":[{"id":"https://openalex.org/I170215575","display_name":"National University of Defense Technology","ror":"https://ror.org/05d2yfz11","country_code":"CN","type":"education","lineage":["https://openalex.org/I170215575"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xiaoliang Sun","raw_affiliation_strings":["College of Aerospace Science and Engineering, National University of Defense Technology, Changsha, China"],"raw_orcid":"https://orcid.org/0000-0003-3018-8043","affiliations":[{"raw_affiliation_string":"College of Aerospace Science and Engineering, National University of Defense Technology, Changsha, China","institution_ids":["https://openalex.org/I170215575"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5076444077","display_name":"Qifeng Yu","orcid":"https://orcid.org/0000-0002-1101-1093"},"institutions":[{"id":"https://openalex.org/I170215575","display_name":"National University of Defense Technology","ror":"https://ror.org/05d2yfz11","country_code":"CN","type":"education","lineage":["https://openalex.org/I170215575"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Qifeng Yu","raw_affiliation_strings":["College of Aerospace Science and Engineering, National University of Defense Technology, Changsha, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"College of Aerospace Science and Engineering, National University of Defense Technology, Changsha, China","institution_ids":["https://openalex.org/I170215575"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":9.5405,"has_fulltext":false,"cited_by_count":18,"citation_normalized_percentile":{"value":0.97295509,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":90,"max":99},"biblio":{"volume":"70","issue":"8","first_page":"8163","last_page":"8173"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10191","display_name":"Robotics and Sensor-Based Localization","score":0.9997000098228455,"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"}},"topics":[{"id":"https://openalex.org/T10191","display_name":"Robotics and Sensor-Based Localization","score":0.9997000098228455,"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/T11211","display_name":"3D Surveying and Cultural Heritage","score":0.9990000128746033,"subfield":{"id":"https://openalex.org/subfields/1907","display_name":"Geology"},"field":{"id":"https://openalex.org/fields/19","display_name":"Earth and Planetary Sciences"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10653","display_name":"Robot Manipulation and Learning","score":0.9969000220298767,"subfield":{"id":"https://openalex.org/subfields/2207","display_name":"Control and Systems Engineering"},"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/artificial-intelligence","display_name":"Artificial intelligence","score":0.8299238681793213},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.8114430904388428},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6841226816177368},{"id":"https://openalex.org/keywords/pose","display_name":"Pose","score":0.6631932258605957},{"id":"https://openalex.org/keywords/3d-pose-estimation","display_name":"3D pose estimation","score":0.6229686141014099},{"id":"https://openalex.org/keywords/articulated-body-pose-estimation","display_name":"Articulated body pose estimation","score":0.6142023801803589},{"id":"https://openalex.org/keywords/monocular","display_name":"Monocular","score":0.5722013115882874},{"id":"https://openalex.org/keywords/inter-frame","display_name":"Inter frame","score":0.49029043316841125},{"id":"https://openalex.org/keywords/tracking","display_name":"Tracking (education)","score":0.4502795934677124},{"id":"https://openalex.org/keywords/motion-capture","display_name":"Motion capture","score":0.4279494881629944},{"id":"https://openalex.org/keywords/video-tracking","display_name":"Video tracking","score":0.4245757758617401},{"id":"https://openalex.org/keywords/motion","display_name":"Motion (physics)","score":0.355401873588562},{"id":"https://openalex.org/keywords/object","display_name":"Object (grammar)","score":0.25949323177337646},{"id":"https://openalex.org/keywords/reference-frame","display_name":"Reference frame","score":0.2514875531196594},{"id":"https://openalex.org/keywords/frame","display_name":"Frame (networking)","score":0.24345389008522034}],"concepts":[{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.8299238681793213},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.8114430904388428},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6841226816177368},{"id":"https://openalex.org/C52102323","wikidata":"https://www.wikidata.org/wiki/Q1671968","display_name":"Pose","level":2,"score":0.6631932258605957},{"id":"https://openalex.org/C36613465","wikidata":"https://www.wikidata.org/wiki/Q4636322","display_name":"3D pose estimation","level":3,"score":0.6229686141014099},{"id":"https://openalex.org/C22100474","wikidata":"https://www.wikidata.org/wiki/Q4800952","display_name":"Articulated body pose estimation","level":4,"score":0.6142023801803589},{"id":"https://openalex.org/C65909025","wikidata":"https://www.wikidata.org/wiki/Q1945033","display_name":"Monocular","level":2,"score":0.5722013115882874},{"id":"https://openalex.org/C39394851","wikidata":"https://www.wikidata.org/wiki/Q921594","display_name":"Inter frame","level":4,"score":0.49029043316841125},{"id":"https://openalex.org/C2775936607","wikidata":"https://www.wikidata.org/wiki/Q466845","display_name":"Tracking (education)","level":2,"score":0.4502795934677124},{"id":"https://openalex.org/C48007421","wikidata":"https://www.wikidata.org/wiki/Q676252","display_name":"Motion capture","level":3,"score":0.4279494881629944},{"id":"https://openalex.org/C202474056","wikidata":"https://www.wikidata.org/wiki/Q1931635","display_name":"Video tracking","level":3,"score":0.4245757758617401},{"id":"https://openalex.org/C104114177","wikidata":"https://www.wikidata.org/wiki/Q79782","display_name":"Motion (physics)","level":2,"score":0.355401873588562},{"id":"https://openalex.org/C2781238097","wikidata":"https://www.wikidata.org/wiki/Q175026","display_name":"Object (grammar)","level":2,"score":0.25949323177337646},{"id":"https://openalex.org/C172849965","wikidata":"https://www.wikidata.org/wiki/Q3148875","display_name":"Reference frame","level":3,"score":0.2514875531196594},{"id":"https://openalex.org/C126042441","wikidata":"https://www.wikidata.org/wiki/Q1324888","display_name":"Frame (networking)","level":2,"score":0.24345389008522034},{"id":"https://openalex.org/C19417346","wikidata":"https://www.wikidata.org/wiki/Q7922","display_name":"Pedagogy","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/tie.2022.3217598","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tie.2022.3217598","pdf_url":null,"source":{"id":"https://openalex.org/S58031724","display_name":"IEEE Transactions on Industrial Electronics","issn_l":"0278-0046","issn":["0278-0046","1557-9948"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Industrial Electronics","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Sustainable cities and communities","id":"https://metadata.un.org/sdg/11","score":0.7300000190734863}],"awards":[],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":34,"referenced_works":["https://openalex.org/W1564897360","https://openalex.org/W1891950620","https://openalex.org/W1988186395","https://openalex.org/W1991544872","https://openalex.org/W1992706277","https://openalex.org/W2051460003","https://openalex.org/W2067936826","https://openalex.org/W2158890580","https://openalex.org/W2299361391","https://openalex.org/W2474281075","https://openalex.org/W2519822546","https://openalex.org/W2571819959","https://openalex.org/W2605089300","https://openalex.org/W2608032085","https://openalex.org/W2736812385","https://openalex.org/W2781064046","https://openalex.org/W2795999188","https://openalex.org/W2890035883","https://openalex.org/W2895410314","https://openalex.org/W2904008996","https://openalex.org/W2914477982","https://openalex.org/W3008363328","https://openalex.org/W3008380142","https://openalex.org/W3036020516","https://openalex.org/W3108326808","https://openalex.org/W3115191265","https://openalex.org/W3124643953","https://openalex.org/W3133557228","https://openalex.org/W3157238290","https://openalex.org/W3164607198","https://openalex.org/W3172927047","https://openalex.org/W3210687399","https://openalex.org/W6779614156","https://openalex.org/W6864332406"],"related_works":["https://openalex.org/W2946083937","https://openalex.org/W2798721181","https://openalex.org/W4386075737","https://openalex.org/W2951583186","https://openalex.org/W4299867837","https://openalex.org/W2088028039","https://openalex.org/W4382141741","https://openalex.org/W3165753266","https://openalex.org/W1968783203","https://openalex.org/W4206633503"],"abstract_inverted_index":{"Tracking":[0],"the":[1,54,90,122,126,146,152,156,167,174],"pose":[2,34,51,72,80,123,134,141,159,182],"of":[3],"a":[4,12,67,97,114,132],"specific":[5],"rigid":[6],"object":[7,91,148],"from":[8],"monocular":[9,71],"sequences":[10,164],"is":[11,101,118],"basic":[13],"problem":[14],"in":[15,37,104,177],"computer":[16],"vision.":[17],"State-of-the-art":[18],"methods":[19,176],"assume":[20],"motion":[21,30,56,111],"continuity":[22,57],"between":[23],"two":[24],"consecutive":[25],"frames.":[26],"However,":[27],"drastic":[28],"relative":[29],"causes":[31],"large":[32,79,158,181],"interframe":[33,55],"shifts,":[35],"especially":[36],"applications":[38],"such":[39],"as":[40],"robotic":[41],"grasping,":[42],"failed":[43],"satellite":[44],"maintenance,":[45],"and":[46,69,162],"space":[47],"debris":[48],"removal.":[49],"Large":[50],"shifts":[52],"interrupt":[53],"leading":[58],"to":[59,88,109,120,137,173],"tracking":[60,73,76,149,178],"failure.":[61],"In":[62],"this":[63],"article,":[64],"we":[65,94,130],"propose":[66,95],"robust":[68],"accurate":[70,140],"method":[74,169],"for":[75,103],"objects":[77,179],"with":[78,180],"shifts.":[81,183],"Using":[82],"an":[83,105],"indexable":[84],"sparse":[85],"viewpoint":[86],"model":[87],"represent":[89],"3D":[92],"geometry,":[93],"establishing":[96],"transitional":[98,127],"view,":[99],"which":[100],"searched":[102],"efficient":[106],"variable-step":[107],"way,":[108],"recover":[110],"continuity.":[112],"Then,":[113],"region-based":[115,147],"optimization":[116],"algorithm":[117],"adopted":[119],"optimize":[121],"based":[124],"on":[125,145],"view.":[128],"Finally,":[129],"use":[131],"single-rendering-based":[133],"refinement":[135],"process":[136],"achieve":[138],"highly":[139],"results.":[142],"The":[143],"experiments":[144],"(RBOT)":[150],"dataset,":[151,155],"modified":[153],"RBOT":[154],"synthetic":[157],"shift":[160],"sequences,":[161],"real":[163],"demonstrated":[165],"that":[166],"proposed":[168],"achieved":[170],"superior":[171],"performance":[172],"state-of-the-art":[175]},"counts_by_year":[{"year":2026,"cited_by_count":3},{"year":2025,"cited_by_count":7},{"year":2024,"cited_by_count":7},{"year":2023,"cited_by_count":1}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}
