{"id":"https://openalex.org/W2298876498","doi":"https://doi.org/10.1109/tcyb.2016.2626275","title":"Geometric Hypergraph Learning for Visual Tracking","display_name":"Geometric Hypergraph Learning for Visual Tracking","publication_year":2016,"publication_date":"2016-11-18","ids":{"openalex":"https://openalex.org/W2298876498","doi":"https://doi.org/10.1109/tcyb.2016.2626275","mag":"2298876498","pmid":"https://pubmed.ncbi.nlm.nih.gov/27875238"},"language":"en","primary_location":{"id":"doi:10.1109/tcyb.2016.2626275","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tcyb.2016.2626275","pdf_url":null,"source":{"id":"https://openalex.org/S4210191041","display_name":"IEEE Transactions on Cybernetics","issn_l":"2168-2267","issn":["2168-2267","2168-2275"],"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 Cybernetics","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","pubmed"],"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/A5027501592","display_name":"Dawei Du","orcid":"https://orcid.org/0000-0001-9404-524X"},"institutions":[{"id":"https://openalex.org/I4210165038","display_name":"University of Chinese Academy of Sciences","ror":"https://ror.org/05qbk4x57","country_code":"CN","type":"education","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210165038"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Dawei Du","raw_affiliation_strings":["Key Laboratory of Big Data Mining and Knowledge Management, University of Chinese Academy of Sciences, Beijing, China"],"affiliations":[{"raw_affiliation_string":"Key Laboratory of Big Data Mining and Knowledge Management, University of Chinese Academy of Sciences, Beijing, China","institution_ids":["https://openalex.org/I4210165038"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5047226078","display_name":"Honggang Qi","orcid":"https://orcid.org/0000-0002-7947-1491"},"institutions":[{"id":"https://openalex.org/I4210165038","display_name":"University of Chinese Academy of Sciences","ror":"https://ror.org/05qbk4x57","country_code":"CN","type":"education","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210165038"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Honggang Qi","raw_affiliation_strings":["Key Laboratory of Big Data Mining and Knowledge Management, University of Chinese Academy of Sciences, Beijing, China"],"affiliations":[{"raw_affiliation_string":"Key Laboratory of Big Data Mining and Knowledge Management, University of Chinese Academy of Sciences, Beijing, China","institution_ids":["https://openalex.org/I4210165038"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5018942445","display_name":"Longyin Wen","orcid":"https://orcid.org/0000-0001-5525-492X"},"institutions":[{"id":"https://openalex.org/I113508548","display_name":"Albany State University","ror":"https://ror.org/01vme4277","country_code":"US","type":"education","lineage":["https://openalex.org/I113508548"]},{"id":"https://openalex.org/I392282","display_name":"University at Albany, State University of New York","ror":"https://ror.org/012zs8222","country_code":"US","type":"education","lineage":["https://openalex.org/I392282"]},{"id":"https://openalex.org/I4210134512","display_name":"GE Global Research (United States)","ror":"https://ror.org/03e06qt98","country_code":"US","type":"company","lineage":["https://openalex.org/I4210134512"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Longyin Wen","raw_affiliation_strings":["GE Global Research, NY, USA","University at Albany, State University of New York, Albany, NY, USA"],"affiliations":[{"raw_affiliation_string":"GE Global Research, NY, USA","institution_ids":["https://openalex.org/I4210134512"]},{"raw_affiliation_string":"University at Albany, State University of New York, Albany, NY, USA","institution_ids":["https://openalex.org/I113508548","https://openalex.org/I392282"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100393506","display_name":"Qi Tian","orcid":"https://orcid.org/0000-0002-7252-5047"},"institutions":[{"id":"https://openalex.org/I45438204","display_name":"The University of Texas at San Antonio","ror":"https://ror.org/01kd65564","country_code":"US","type":"education","lineage":["https://openalex.org/I45438204"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Qi Tian","raw_affiliation_strings":["Department of Computer Science, University of Texas at San Antonio, San Antonio, TX, USA"],"affiliations":[{"raw_affiliation_string":"Department of Computer Science, University of Texas at San Antonio, San Antonio, TX, USA","institution_ids":["https://openalex.org/I45438204"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5028597017","display_name":"Qingming Huang","orcid":"https://orcid.org/0000-0001-7542-296X"},"institutions":[{"id":"https://openalex.org/I19820366","display_name":"Chinese Academy of Sciences","ror":"https://ror.org/034t30j35","country_code":"CN","type":"government","lineage":["https://openalex.org/I19820366"]},{"id":"https://openalex.org/I4210090176","display_name":"Institute of Computing Technology","ror":"https://ror.org/0090r4d87","country_code":"CN","type":"facility","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210090176"]},{"id":"https://openalex.org/I4210165038","display_name":"University of Chinese Academy of Sciences","ror":"https://ror.org/05qbk4x57","country_code":"CN","type":"education","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210165038"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Qingming Huang","raw_affiliation_strings":["Key Laboratory of Big Data Mining and Knowledge Management, University of Chinese Academy of Sciences, Beijing, China","Key Laboratory of Intelligent Information Processing, Institute of Computing Technology, Chinese Academy of Sciences, Beijing, China"],"affiliations":[{"raw_affiliation_string":"Key Laboratory of Big Data Mining and Knowledge Management, University of Chinese Academy of Sciences, Beijing, China","institution_ids":["https://openalex.org/I4210165038"]},{"raw_affiliation_string":"Key Laboratory of Intelligent Information Processing, Institute of Computing Technology, Chinese Academy of Sciences, Beijing, China","institution_ids":["https://openalex.org/I4210090176","https://openalex.org/I19820366"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5023752172","display_name":"Siwei Lyu","orcid":"https://orcid.org/0000-0002-0992-685X"},"institutions":[{"id":"https://openalex.org/I113508548","display_name":"Albany State University","ror":"https://ror.org/01vme4277","country_code":"US","type":"education","lineage":["https://openalex.org/I113508548"]},{"id":"https://openalex.org/I392282","display_name":"University at Albany, State University of New York","ror":"https://ror.org/012zs8222","country_code":"US","type":"education","lineage":["https://openalex.org/I392282"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Siwei Lyu","raw_affiliation_strings":["Computer Science Department, University at Albany, State University of New York, Albany, NY, USA"],"affiliations":[{"raw_affiliation_string":"Computer Science Department, University at Albany, State University of New York, Albany, NY, USA","institution_ids":["https://openalex.org/I113508548","https://openalex.org/I392282"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":6,"corresponding_author_ids":["https://openalex.org/A5027501592"],"corresponding_institution_ids":["https://openalex.org/I4210165038"],"apc_list":null,"apc_paid":null,"fwci":5.4063,"has_fulltext":false,"cited_by_count":58,"citation_normalized_percentile":{"value":0.97280235,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":95,"max":100},"biblio":{"volume":"47","issue":"12","first_page":"4182","last_page":"4195"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10331","display_name":"Video Surveillance and Tracking Methods","score":1.0,"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":1.0,"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/T10812","display_name":"Human Pose and Action Recognition","score":0.9970999956130981,"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/T11439","display_name":"Video Analysis and Summarization","score":0.9707000255584717,"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/hypergraph","display_name":"Hypergraph","score":0.7886453866958618},{"id":"https://openalex.org/keywords/pairwise-comparison","display_name":"Pairwise comparison","score":0.7056921124458313},{"id":"https://openalex.org/keywords/robustness","display_name":"Robustness (evolution)","score":0.6141422986984253},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5706491470336914},{"id":"https://openalex.org/keywords/scalability","display_name":"Scalability","score":0.50020432472229},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.46408793330192566},{"id":"https://openalex.org/keywords/graph","display_name":"Graph","score":0.4569154381752014},{"id":"https://openalex.org/keywords/eye-tracking","display_name":"Eye tracking","score":0.4469001293182373},{"id":"https://openalex.org/keywords/bittorrent-tracker","display_name":"BitTorrent tracker","score":0.4125213623046875},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.3984871506690979},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.3741571605205536},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.3663337826728821},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.3160801827907562},{"id":"https://openalex.org/keywords/combinatorics","display_name":"Combinatorics","score":0.13048630952835083}],"concepts":[{"id":"https://openalex.org/C2781221856","wikidata":"https://www.wikidata.org/wiki/Q840247","display_name":"Hypergraph","level":2,"score":0.7886453866958618},{"id":"https://openalex.org/C184898388","wikidata":"https://www.wikidata.org/wiki/Q1435712","display_name":"Pairwise comparison","level":2,"score":0.7056921124458313},{"id":"https://openalex.org/C63479239","wikidata":"https://www.wikidata.org/wiki/Q7353546","display_name":"Robustness (evolution)","level":3,"score":0.6141422986984253},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5706491470336914},{"id":"https://openalex.org/C48044578","wikidata":"https://www.wikidata.org/wiki/Q727490","display_name":"Scalability","level":2,"score":0.50020432472229},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.46408793330192566},{"id":"https://openalex.org/C132525143","wikidata":"https://www.wikidata.org/wiki/Q141488","display_name":"Graph","level":2,"score":0.4569154381752014},{"id":"https://openalex.org/C56461940","wikidata":"https://www.wikidata.org/wiki/Q970687","display_name":"Eye tracking","level":2,"score":0.4469001293182373},{"id":"https://openalex.org/C57501372","wikidata":"https://www.wikidata.org/wiki/Q2021268","display_name":"BitTorrent tracker","level":3,"score":0.4125213623046875},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3984871506690979},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.3741571605205536},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.3663337826728821},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.3160801827907562},{"id":"https://openalex.org/C114614502","wikidata":"https://www.wikidata.org/wiki/Q76592","display_name":"Combinatorics","level":1,"score":0.13048630952835083},{"id":"https://openalex.org/C104317684","wikidata":"https://www.wikidata.org/wiki/Q7187","display_name":"Gene","level":2,"score":0.0},{"id":"https://openalex.org/C55493867","wikidata":"https://www.wikidata.org/wiki/Q7094","display_name":"Biochemistry","level":1,"score":0.0},{"id":"https://openalex.org/C77088390","wikidata":"https://www.wikidata.org/wiki/Q8513","display_name":"Database","level":1,"score":0.0},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/tcyb.2016.2626275","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tcyb.2016.2626275","pdf_url":null,"source":{"id":"https://openalex.org/S4210191041","display_name":"IEEE Transactions on Cybernetics","issn_l":"2168-2267","issn":["2168-2267","2168-2275"],"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 Cybernetics","raw_type":"journal-article"},{"id":"pmid:27875238","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/27875238","pdf_url":null,"source":{"id":"https://openalex.org/S4306525036","display_name":"PubMed","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1299303238","host_organization_name":"National Institutes of Health","host_organization_lineage":["https://openalex.org/I1299303238"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE transactions on cybernetics","raw_type":null}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G267313036","display_name":null,"funder_award_id":"61332016","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G3030320856","display_name":null,"funder_award_id":"QYZDJ-SSW-SYS013","funder_id":"https://openalex.org/F4320321133","funder_display_name":"Chinese Academy of Sciences"},{"id":"https://openalex.org/G573666123","display_name":null,"funder_award_id":"W911NF-15-1-0290","funder_id":"https://openalex.org/F4320338281","funder_display_name":"Army Research Office"},{"id":"https://openalex.org/G6197875348","display_name":null,"funder_award_id":"61620106009","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G6372974985","display_name":null,"funder_award_id":"61429201","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G6982751976","display_name":null,"funder_award_id":"61472388","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G845394335","display_name":null,"funder_award_id":"1319800","funder_id":"https://openalex.org/F4320337387","funder_display_name":"Division of Computing and Communication Foundations"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320321133","display_name":"Chinese Academy of Sciences","ror":"https://ror.org/034t30j35"},{"id":"https://openalex.org/F4320337387","display_name":"Division of Computing and Communication Foundations","ror":"https://ror.org/01mng8331"},{"id":"https://openalex.org/F4320338281","display_name":"Army Research Office","ror":"https://ror.org/05epdh915"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":67,"referenced_works":["https://openalex.org/W29474918","https://openalex.org/W99972663","https://openalex.org/W174104394","https://openalex.org/W1038715501","https://openalex.org/W1424443765","https://openalex.org/W1849710887","https://openalex.org/W1900239115","https://openalex.org/W1904248166","https://openalex.org/W1908905119","https://openalex.org/W1961392663","https://openalex.org/W1967973024","https://openalex.org/W1975827901","https://openalex.org/W1993221692","https://openalex.org/W1997121481","https://openalex.org/W1998840160","https://openalex.org/W2006919416","https://openalex.org/W2016075127","https://openalex.org/W2018078023","https://openalex.org/W2019972236","https://openalex.org/W2022879247","https://openalex.org/W2024029849","https://openalex.org/W2044986361","https://openalex.org/W2077766785","https://openalex.org/W2089961441","https://openalex.org/W2096947220","https://openalex.org/W2098941887","https://openalex.org/W2103846358","https://openalex.org/W2107196083","https://openalex.org/W2109579504","https://openalex.org/W2110671801","https://openalex.org/W2113137767","https://openalex.org/W2118246710","https://openalex.org/W2121193292","https://openalex.org/W2140595412","https://openalex.org/W2145174823","https://openalex.org/W2147533695","https://openalex.org/W2148538422","https://openalex.org/W2154429285","https://openalex.org/W2154889144","https://openalex.org/W2156547441","https://openalex.org/W2158592639","https://openalex.org/W2158917775","https://openalex.org/W2160867111","https://openalex.org/W2162383208","https://openalex.org/W2165037244","https://openalex.org/W2165700088","https://openalex.org/W2167595698","https://openalex.org/W2183648259","https://openalex.org/W2186330282","https://openalex.org/W2294602567","https://openalex.org/W2395596584","https://openalex.org/W2440170942","https://openalex.org/W2915935370","https://openalex.org/W2986028972","https://openalex.org/W3125612102","https://openalex.org/W6601205835","https://openalex.org/W6604096975","https://openalex.org/W6607119210","https://openalex.org/W6626808260","https://openalex.org/W6649598916","https://openalex.org/W6676243939","https://openalex.org/W6679027886","https://openalex.org/W6681239665","https://openalex.org/W6683636472","https://openalex.org/W6683886257","https://openalex.org/W6684332838","https://openalex.org/W6697111280"],"related_works":["https://openalex.org/W4384788979","https://openalex.org/W2511178891","https://openalex.org/W178060743","https://openalex.org/W2909390414","https://openalex.org/W2126676984","https://openalex.org/W2954509079","https://openalex.org/W2141888607","https://openalex.org/W2753886513","https://openalex.org/W2070920257","https://openalex.org/W1765993298"],"abstract_inverted_index":{"Graph-based":[0],"representation":[1,44],"is":[2,86,114],"widely":[3],"used":[4],"in":[5,16,49,80,95],"visual":[6,84],"tracking":[7,67,85],"field":[8],"by":[9,47],"finding":[10],"correct":[11],"correspondences":[12,77],"between":[13,27],"target":[14],"parts":[15,79],"different":[17,81],"frames.":[18,82],"However,":[19],"most":[20],"graph-based":[21],"trackers":[22],"consider":[23],"pairwise":[24,50],"geometric":[25,64,73,105,125],"relations":[26,74,106],"local":[28],"parts.":[29],"They":[30],"do":[31],"not":[32],"make":[33],"full":[34],"use":[35],"of":[36,78],"the":[37,43,89,93,124],"target's":[38],"intrinsic":[39],"structure,":[40],"thereby":[41],"making":[42],"easily":[45],"disturbed":[46],"errors":[48],"affinities":[51],"when":[52],"large":[53],"deformation":[54],"or":[55],"occlusion":[56],"occurs.":[57],"In":[58],"this":[59],"paper,":[60],"we":[61],"propose":[62],"a":[63,110],"hypergraph":[65,94,126],"learning-based":[66],"method,":[68],"which":[69,96],"fully":[70],"exploits":[71],"high-order":[72,104],"among":[75,107],"multiple":[76],"Then":[83],"formulated":[87],"as":[88],"mode-seeking":[90],"problem":[91],"on":[92,137],"vertices":[97,119],"represent":[98],"correspondence":[99],"hypotheses":[100],"and":[101,120,130,143],"hyperedges":[102,121],"describe":[103],"correspondences.":[108],"Besides,":[109],"confidence-aware":[111],"sampling":[112],"method":[113,149],"developed":[115],"to":[116,122,145],"select":[117],"representative":[118],"construct":[123],"for":[127],"more":[128],"robustness":[129],"scalability.":[131],"The":[132],"experiments":[133],"are":[134],"carried":[135],"out":[136],"three":[138],"challenging":[139],"datasets":[140],"(VOT2014,":[141],"OTB100,":[142],"Deform-SOT)":[144],"demonstrate":[146],"that":[147],"our":[148],"performs":[150],"favorably":[151],"against":[152],"other":[153],"existing":[154],"trackers.":[155]},"counts_by_year":[{"year":2024,"cited_by_count":8},{"year":2023,"cited_by_count":4},{"year":2022,"cited_by_count":4},{"year":2021,"cited_by_count":3},{"year":2020,"cited_by_count":7},{"year":2019,"cited_by_count":9},{"year":2018,"cited_by_count":13},{"year":2017,"cited_by_count":7},{"year":2016,"cited_by_count":3}],"updated_date":"2026-04-04T16:13:02.066488","created_date":"2025-10-10T00:00:00"}