{"id":"https://openalex.org/W2011723717","doi":"https://doi.org/10.1109/cvpr.2011.5995537","title":"Tracking low resolution objects by metric preservation","display_name":"Tracking low resolution objects by metric preservation","publication_year":2011,"publication_date":"2011-06-01","ids":{"openalex":"https://openalex.org/W2011723717","doi":"https://doi.org/10.1109/cvpr.2011.5995537","mag":"2011723717"},"language":"en","primary_location":{"id":"doi:10.1109/cvpr.2011.5995537","is_oa":false,"landing_page_url":"https://doi.org/10.1109/cvpr.2011.5995537","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"CVPR 2011","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/A5008181744","display_name":"Nan Jiang","orcid":"https://orcid.org/0000-0003-1712-1872"},"institutions":[{"id":"https://openalex.org/I47720641","display_name":"Huazhong University of Science and Technology","ror":"https://ror.org/00p991c53","country_code":"CN","type":"education","lineage":["https://openalex.org/I47720641"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Nan Jiang","raw_affiliation_strings":["Huazhong University of Science and Technology, Wuhan, Hubei, China","Huazhong University of Sci & Tech, Wuhan, Hubei, P.R. China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Huazhong University of Science and Technology, Wuhan, Hubei, China","institution_ids":["https://openalex.org/I47720641"]},{"raw_affiliation_string":"Huazhong University of Sci & Tech, Wuhan, Hubei, P.R. China","institution_ids":["https://openalex.org/I47720641"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100665053","display_name":"Wenyu Liu","orcid":"https://orcid.org/0000-0002-4582-7488"},"institutions":[{"id":"https://openalex.org/I47720641","display_name":"Huazhong University of Science and Technology","ror":"https://ror.org/00p991c53","country_code":"CN","type":"education","lineage":["https://openalex.org/I47720641"]},{"id":"https://openalex.org/I99065089","display_name":"Tsinghua University","ror":"https://ror.org/03cve4549","country_code":"CN","type":"education","lineage":["https://openalex.org/I99065089"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Wenyu Liu","raw_affiliation_strings":["Tsinghua University, Beijing, China","Huazhong University of Sci & Tech, Wuhan, Hubei, P.R. China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Tsinghua University, Beijing, China","institution_ids":["https://openalex.org/I99065089"]},{"raw_affiliation_string":"Huazhong University of Sci & Tech, Wuhan, Hubei, P.R. China","institution_ids":["https://openalex.org/I47720641"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5113956827","display_name":"Heng Su","orcid":null},"institutions":[{"id":"https://openalex.org/I47720641","display_name":"Huazhong University of Science and Technology","ror":"https://ror.org/00p991c53","country_code":"CN","type":"education","lineage":["https://openalex.org/I47720641"]},{"id":"https://openalex.org/I99065089","display_name":"Tsinghua University","ror":"https://ror.org/03cve4549","country_code":"CN","type":"education","lineage":["https://openalex.org/I99065089"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Heng Su","raw_affiliation_strings":["Huazhong University of Science and Technology, Wuhan, Hubei, China","TsingHua University, Beijing, P.R. China#TAB#"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Huazhong University of Science and Technology, Wuhan, Hubei, China","institution_ids":["https://openalex.org/I47720641"]},{"raw_affiliation_string":"TsingHua University, Beijing, P.R. China#TAB#","institution_ids":["https://openalex.org/I99065089"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5101780958","display_name":"Ying Wu","orcid":"https://orcid.org/0009-0001-6768-5118"},"institutions":[{"id":"https://openalex.org/I111979921","display_name":"Northwestern University","ror":"https://ror.org/000e0be47","country_code":"US","type":"education","lineage":["https://openalex.org/I111979921"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Ying Wu","raw_affiliation_strings":["Northwestern University, Evanston, IL, USA","Northwestern University; Evanston IL USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Northwestern University, Evanston, IL, USA","institution_ids":["https://openalex.org/I111979921"]},{"raw_affiliation_string":"Northwestern University; Evanston IL USA","institution_ids":["https://openalex.org/I111979921"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":19,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":"2","issue":null,"first_page":"1329","last_page":"1336"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11105","display_name":"Advanced Image Processing Techniques","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/T11105","display_name":"Advanced Image Processing Techniques","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/T10531","display_name":"Advanced Vision and Imaging","score":0.9997000098228455,"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":0.9939000010490417,"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/discriminative-model","display_name":"Discriminative model","score":0.8644083142280579},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.7384116053581238},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7232909202575684},{"id":"https://openalex.org/keywords/metric","display_name":"Metric (unit)","score":0.7121279835700989},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.7120444774627686},{"id":"https://openalex.org/keywords/tracking","display_name":"Tracking (education)","score":0.6211186051368713},{"id":"https://openalex.org/keywords/matching","display_name":"Matching (statistics)","score":0.5853108763694763},{"id":"https://openalex.org/keywords/resolution","display_name":"Resolution (logic)","score":0.461032897233963},{"id":"https://openalex.org/keywords/eye-tracking","display_name":"Eye tracking","score":0.4375383257865906},{"id":"https://openalex.org/keywords/motion","display_name":"Motion (physics)","score":0.43227168917655945},{"id":"https://openalex.org/keywords/video-tracking","display_name":"Video tracking","score":0.4262399673461914},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.18391487002372742},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.08857983350753784},{"id":"https://openalex.org/keywords/video-processing","display_name":"Video processing","score":0.07834815979003906}],"concepts":[{"id":"https://openalex.org/C97931131","wikidata":"https://www.wikidata.org/wiki/Q5282087","display_name":"Discriminative model","level":2,"score":0.8644083142280579},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7384116053581238},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7232909202575684},{"id":"https://openalex.org/C176217482","wikidata":"https://www.wikidata.org/wiki/Q860554","display_name":"Metric (unit)","level":2,"score":0.7121279835700989},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.7120444774627686},{"id":"https://openalex.org/C2775936607","wikidata":"https://www.wikidata.org/wiki/Q466845","display_name":"Tracking (education)","level":2,"score":0.6211186051368713},{"id":"https://openalex.org/C165064840","wikidata":"https://www.wikidata.org/wiki/Q1321061","display_name":"Matching (statistics)","level":2,"score":0.5853108763694763},{"id":"https://openalex.org/C138268822","wikidata":"https://www.wikidata.org/wiki/Q1051925","display_name":"Resolution (logic)","level":2,"score":0.461032897233963},{"id":"https://openalex.org/C56461940","wikidata":"https://www.wikidata.org/wiki/Q970687","display_name":"Eye tracking","level":2,"score":0.4375383257865906},{"id":"https://openalex.org/C104114177","wikidata":"https://www.wikidata.org/wiki/Q79782","display_name":"Motion (physics)","level":2,"score":0.43227168917655945},{"id":"https://openalex.org/C202474056","wikidata":"https://www.wikidata.org/wiki/Q1931635","display_name":"Video tracking","level":3,"score":0.4262399673461914},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.18391487002372742},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.08857983350753784},{"id":"https://openalex.org/C65483669","wikidata":"https://www.wikidata.org/wiki/Q3536669","display_name":"Video processing","level":2,"score":0.07834815979003906},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.0},{"id":"https://openalex.org/C19417346","wikidata":"https://www.wikidata.org/wiki/Q7922","display_name":"Pedagogy","level":1,"score":0.0},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.0},{"id":"https://openalex.org/C21547014","wikidata":"https://www.wikidata.org/wiki/Q1423657","display_name":"Operations management","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/cvpr.2011.5995537","is_oa":false,"landing_page_url":"https://doi.org/10.1109/cvpr.2011.5995537","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"CVPR 2011","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Reduced inequalities","id":"https://metadata.un.org/sdg/10","score":0.7599999904632568}],"awards":[],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320338281","display_name":"Army Research Office","ror":"https://ror.org/05epdh915"},{"id":"https://openalex.org/F4320338295","display_name":"Army Research Laboratory","ror":"https://ror.org/011hc8f90"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":20,"referenced_works":["https://openalex.org/W1482209366","https://openalex.org/W1514810895","https://openalex.org/W2054898680","https://openalex.org/W2097074225","https://openalex.org/W2104752854","https://openalex.org/W2110297148","https://openalex.org/W2112607495","https://openalex.org/W2118877769","https://openalex.org/W2118963448","https://openalex.org/W2121058967","https://openalex.org/W2125251790","https://openalex.org/W2131349449","https://openalex.org/W2133511802","https://openalex.org/W2145443310","https://openalex.org/W2149435768","https://openalex.org/W2157028707","https://openalex.org/W6628773650","https://openalex.org/W6630699008","https://openalex.org/W6675655370","https://openalex.org/W6677548441"],"related_works":["https://openalex.org/W4389116644","https://openalex.org/W2153315159","https://openalex.org/W3103844505","https://openalex.org/W259157601","https://openalex.org/W4205463238","https://openalex.org/W2761785940","https://openalex.org/W1482209366","https://openalex.org/W2110523656","https://openalex.org/W2521627374","https://openalex.org/W2012200063"],"abstract_inverted_index":{"Tracking":[0],"low":[1],"resolution":[2,36,47,94],"(LR)":[3],"targets":[4,27,73],"is":[5,81],"a":[6,67,111],"practical":[7],"yet":[8],"quite":[9],"challenging":[10],"problem":[11],"in":[12,20,91],"real":[13],"applications.":[14],"The":[15],"loss":[16],"of":[17,24,37,128],"discriminative":[18,84],"details":[19],"the":[21,25,35,38,50,89,92,124,129],"visual":[22,31],"appearance":[23],"L-R":[26],"confronts":[28],"most":[29],"existing":[30],"tracking":[32,108],"methods.":[33],"Although":[34],"LR":[39,72,98,118],"video":[40],"inputs":[41],"may":[42],"be":[43],"enhanced":[44],"by":[45],"super":[46],"(SR)":[48],"techniques,":[49],"large":[51],"computational":[52],"cost":[53],"for":[54,97,117],"high-quality":[55],"SR":[56],"does":[57],"not":[58],"make":[59],"it":[60],"an":[61],"attractive":[62],"option.":[63],"This":[64,78],"paper":[65],"presents":[66],"novel":[68],"solution":[69,113],"to":[70,109,114],"track":[71],"without":[74],"performing":[75],"explicit":[76],"SR.":[77],"new":[79],"approach":[80],"based":[82],"on":[83],"metric":[85,104],"preservation":[86,105],"that":[87],"preserves":[88],"structure":[90],"high":[93],"feature":[95],"space":[96],"matching.":[99],"In":[100],"addition,":[101],"we":[102],"integrate":[103],"with":[106],"differential":[107],"derive":[110],"closed-form":[112],"motion":[115],"estimation":[116],"video.":[119],"Extensive":[120],"experiments":[121],"have":[122],"demonstrated":[123],"effectiveness":[125],"and":[126],"efficiency":[127],"proposed":[130],"approach.":[131]},"counts_by_year":[{"year":2023,"cited_by_count":1},{"year":2022,"cited_by_count":2},{"year":2021,"cited_by_count":1},{"year":2020,"cited_by_count":1},{"year":2018,"cited_by_count":3},{"year":2017,"cited_by_count":2},{"year":2016,"cited_by_count":3},{"year":2015,"cited_by_count":1},{"year":2013,"cited_by_count":3},{"year":2012,"cited_by_count":1}],"updated_date":"2026-07-15T18:14:33.161393","created_date":"2025-10-10T00:00:00"}
