{"id":"https://openalex.org/W2527415613","doi":"https://doi.org/10.1109/tip.2016.2614135","title":"Learning Collaborative Sparse Representation for Grayscale-Thermal Tracking","display_name":"Learning Collaborative Sparse Representation for Grayscale-Thermal Tracking","publication_year":2016,"publication_date":"2016-09-27","ids":{"openalex":"https://openalex.org/W2527415613","doi":"https://doi.org/10.1109/tip.2016.2614135","mag":"2527415613","pmid":"https://pubmed.ncbi.nlm.nih.gov/28114068"},"language":"en","primary_location":{"id":"doi:10.1109/tip.2016.2614135","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tip.2016.2614135","pdf_url":null,"source":{"id":"https://openalex.org/S4210173141","display_name":"IEEE Transactions on Image Processing","issn_l":"1057-7149","issn":["1057-7149","1941-0042"],"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 Image Processing","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/A5100398932","display_name":"Chenglong Li","orcid":"https://orcid.org/0000-0002-7233-2739"},"institutions":[{"id":"https://openalex.org/I143868143","display_name":"Anhui University","ror":"https://ror.org/05th6yx34","country_code":"CN","type":"education","lineage":["https://openalex.org/I143868143"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Chenglong Li","raw_affiliation_strings":["School of Computer Science and Technology, Anhui University, Hefei, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Computer Science and Technology, Anhui University, Hefei, China","institution_ids":["https://openalex.org/I143868143"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101409148","display_name":"Hui Cheng","orcid":"https://orcid.org/0000-0003-2579-7004"},"institutions":[{"id":"https://openalex.org/I157773358","display_name":"Sun Yat-sen University","ror":"https://ror.org/0064kty71","country_code":"CN","type":"education","lineage":["https://openalex.org/I157773358"]},{"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":"Hui Cheng","raw_affiliation_strings":["Collaborative Innovation Center of High Performance Computing, National University of Defense Technology, Changsha, China","School of Data and Computer Science, Sun Yat-sen University, Guangzhou, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Collaborative Innovation Center of High Performance Computing, National University of Defense Technology, Changsha, China","institution_ids":["https://openalex.org/I170215575"]},{"raw_affiliation_string":"School of Data and Computer Science, Sun Yat-sen University, Guangzhou, China","institution_ids":["https://openalex.org/I157773358"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5013891460","display_name":"Shiyi Hu","orcid":null},"institutions":[{"id":"https://openalex.org/I157773358","display_name":"Sun Yat-sen University","ror":"https://ror.org/0064kty71","country_code":"CN","type":"education","lineage":["https://openalex.org/I157773358"]},{"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":"Shiyi Hu","raw_affiliation_strings":["Collaborative Innovation Center of High Performance Computing, National University of Defense Technology, Changsha, China","School of Data and Computer Science, Sun Yat-sen University, Guangzhou, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Collaborative Innovation Center of High Performance Computing, National University of Defense Technology, Changsha, China","institution_ids":["https://openalex.org/I170215575"]},{"raw_affiliation_string":"School of Data and Computer Science, Sun Yat-sen University, Guangzhou, China","institution_ids":["https://openalex.org/I157773358"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5076498350","display_name":"Xiaobai Liu","orcid":"https://orcid.org/0000-0002-2086-5410"},"institutions":[{"id":"https://openalex.org/I26538001","display_name":"San Diego State University","ror":"https://ror.org/0264fdx42","country_code":"US","type":"education","lineage":["https://openalex.org/I26538001"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Xiaobai Liu","raw_affiliation_strings":["Department of Computer Science, San Diego State University, San Diego, CA, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Computer Science, San Diego State University, San Diego, CA, USA","institution_ids":["https://openalex.org/I26538001"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5030720334","display_name":"Jin Tang","orcid":"https://orcid.org/0000-0001-8375-3590"},"institutions":[{"id":"https://openalex.org/I143868143","display_name":"Anhui University","ror":"https://ror.org/05th6yx34","country_code":"CN","type":"education","lineage":["https://openalex.org/I143868143"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jin Tang","raw_affiliation_strings":["School of Computer Science and Technology, Anhui University, Hefei, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Computer Science and Technology, Anhui University, Hefei, China","institution_ids":["https://openalex.org/I143868143"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100412937","display_name":"Liang Lin","orcid":"https://orcid.org/0000-0003-2248-3755"},"institutions":[{"id":"https://openalex.org/I157773358","display_name":"Sun Yat-sen University","ror":"https://ror.org/0064kty71","country_code":"CN","type":"education","lineage":["https://openalex.org/I157773358"]},{"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":"Liang Lin","raw_affiliation_strings":["Collaborative Innovation Center of High Performance Computing, National University of Defense Technology, Changsha, China","School of Data and Computer Science, Sun Yat-sen University, Guangzhou, China"],"raw_orcid":"https://orcid.org/0000-0003-2248-3755","affiliations":[{"raw_affiliation_string":"Collaborative Innovation Center of High Performance Computing, National University of Defense Technology, Changsha, China","institution_ids":["https://openalex.org/I170215575"]},{"raw_affiliation_string":"School of Data and Computer Science, Sun Yat-sen University, Guangzhou, China","institution_ids":["https://openalex.org/I157773358"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":4,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":13.9021,"has_fulltext":false,"cited_by_count":387,"citation_normalized_percentile":{"value":0.99206307,"is_in_top_1_percent":true,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":99,"max":100},"biblio":{"volume":"25","issue":"12","first_page":"5743","last_page":"5756"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10331","display_name":"Video Surveillance and Tracking Methods","score":0.9997000098228455,"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"}},"topics":[{"id":"https://openalex.org/T10331","display_name":"Video Surveillance and Tracking Methods","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/T12389","display_name":"Infrared Target Detection Methodologies","score":0.9707000255584717,"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/T10531","display_name":"Advanced Vision and Imaging","score":0.9524999856948853,"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/grayscale","display_name":"Grayscale","score":0.8838464617729187},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.7518081665039062},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7474148869514465},{"id":"https://openalex.org/keywords/bittorrent-tracker","display_name":"BitTorrent tracker","score":0.6071969866752625},{"id":"https://openalex.org/keywords/video-tracking","display_name":"Video tracking","score":0.6009376049041748},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.5268541574478149},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.4743417799472809},{"id":"https://openalex.org/keywords/sparse-approximation","display_name":"Sparse approximation","score":0.4624071419239044},{"id":"https://openalex.org/keywords/ground-truth","display_name":"Ground truth","score":0.4380939304828644},{"id":"https://openalex.org/keywords/benchmark","display_name":"Benchmark (surveying)","score":0.4292845129966736},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.41513755917549133},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.35520002245903015},{"id":"https://openalex.org/keywords/pixel","display_name":"Pixel","score":0.34413236379623413},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.32022106647491455},{"id":"https://openalex.org/keywords/object","display_name":"Object (grammar)","score":0.2562008500099182},{"id":"https://openalex.org/keywords/eye-tracking","display_name":"Eye tracking","score":0.15113422274589539}],"concepts":[{"id":"https://openalex.org/C78201319","wikidata":"https://www.wikidata.org/wiki/Q685727","display_name":"Grayscale","level":3,"score":0.8838464617729187},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7518081665039062},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7474148869514465},{"id":"https://openalex.org/C57501372","wikidata":"https://www.wikidata.org/wiki/Q2021268","display_name":"BitTorrent tracker","level":3,"score":0.6071969866752625},{"id":"https://openalex.org/C202474056","wikidata":"https://www.wikidata.org/wiki/Q1931635","display_name":"Video tracking","level":3,"score":0.6009376049041748},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.5268541574478149},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.4743417799472809},{"id":"https://openalex.org/C124066611","wikidata":"https://www.wikidata.org/wiki/Q28684319","display_name":"Sparse approximation","level":2,"score":0.4624071419239044},{"id":"https://openalex.org/C146849305","wikidata":"https://www.wikidata.org/wiki/Q370766","display_name":"Ground truth","level":2,"score":0.4380939304828644},{"id":"https://openalex.org/C185798385","wikidata":"https://www.wikidata.org/wiki/Q1161707","display_name":"Benchmark (surveying)","level":2,"score":0.4292845129966736},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.41513755917549133},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.35520002245903015},{"id":"https://openalex.org/C160633673","wikidata":"https://www.wikidata.org/wiki/Q355198","display_name":"Pixel","level":2,"score":0.34413236379623413},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.32022106647491455},{"id":"https://openalex.org/C2781238097","wikidata":"https://www.wikidata.org/wiki/Q175026","display_name":"Object (grammar)","level":2,"score":0.2562008500099182},{"id":"https://openalex.org/C56461940","wikidata":"https://www.wikidata.org/wiki/Q970687","display_name":"Eye tracking","level":2,"score":0.15113422274589539},{"id":"https://openalex.org/C13280743","wikidata":"https://www.wikidata.org/wiki/Q131089","display_name":"Geodesy","level":1,"score":0.0},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/tip.2016.2614135","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tip.2016.2614135","pdf_url":null,"source":{"id":"https://openalex.org/S4210173141","display_name":"IEEE Transactions on Image Processing","issn_l":"1057-7149","issn":["1057-7149","1941-0042"],"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 Image Processing","raw_type":"journal-article"},{"id":"pmid:28114068","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/28114068","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 image processing : a publication of the IEEE Signal Processing Society","raw_type":null}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G3255513592","display_name":null,"funder_award_id":"S2013010015940","funder_id":"https://openalex.org/F4320321921","funder_display_name":"Natural Science Foundation of Guangdong Province"},{"id":"https://openalex.org/G3962180610","display_name":null,"funder_award_id":"61370185","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G6105923225","display_name":"\u57fa\u4e8e\u591a\u6a21\u6001\u89c6\u89c9\u6a21\u578b\u7684\u884c\u4e3a\u4e8b\u4ef6\u5206\u6790\u7814\u7a76\u4e0e\u5e94\u7528","funder_award_id":"61472002","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320321921","display_name":"Natural Science Foundation of Guangdong Province","ror":null},{"id":"https://openalex.org/F4320335787","display_name":"Fundamental Research Funds for the Central Universities","ror":null}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":53,"referenced_works":["https://openalex.org/W29474918","https://openalex.org/W33214042","https://openalex.org/W182940129","https://openalex.org/W1490376812","https://openalex.org/W1915599933","https://openalex.org/W1937954682","https://openalex.org/W1963444694","https://openalex.org/W1983594616","https://openalex.org/W1995450389","https://openalex.org/W1997121481","https://openalex.org/W1999621311","https://openalex.org/W2003683977","https://openalex.org/W2015148749","https://openalex.org/W2016075127","https://openalex.org/W2016802777","https://openalex.org/W2031342017","https://openalex.org/W2036502561","https://openalex.org/W2039094769","https://openalex.org/W2044153604","https://openalex.org/W2044986361","https://openalex.org/W2048530921","https://openalex.org/W2060814785","https://openalex.org/W2078823272","https://openalex.org/W2086383524","https://openalex.org/W2089961441","https://openalex.org/W2098941887","https://openalex.org/W2102674365","https://openalex.org/W2106944077","https://openalex.org/W2109579504","https://openalex.org/W2120594454","https://openalex.org/W2124211486","https://openalex.org/W2124857421","https://openalex.org/W2152887597","https://openalex.org/W2154889144","https://openalex.org/W2158917775","https://openalex.org/W2163309385","https://openalex.org/W2165037244","https://openalex.org/W2293193551","https://openalex.org/W2295160276","https://openalex.org/W2296616510","https://openalex.org/W2339830253","https://openalex.org/W2913535645","https://openalex.org/W2952973002","https://openalex.org/W2986028972","https://openalex.org/W3100316037","https://openalex.org/W4250955649","https://openalex.org/W6601318844","https://openalex.org/W6629217289","https://openalex.org/W6640971398","https://openalex.org/W6665839387","https://openalex.org/W6670122671","https://openalex.org/W6676161993","https://openalex.org/W6758920291"],"related_works":["https://openalex.org/W4297741002","https://openalex.org/W2503175137","https://openalex.org/W2012200063","https://openalex.org/W4320086059","https://openalex.org/W4210734798","https://openalex.org/W1960880753","https://openalex.org/W4312249400","https://openalex.org/W2405278583","https://openalex.org/W2985391290","https://openalex.org/W3093712048"],"abstract_inverted_index":{"Integrating":[0],"multiple":[1],"different":[2,76],"yet":[3],"complementary":[4],"feature":[5],"representations":[6],"has":[7],"been":[8],"proved":[9],"to":[10,23,119],"be":[11],"an":[12,51,79],"effective":[13],"way":[14],"for":[15,46,101],"boosting":[16],"tracking":[17,27,102,140],"performance.":[18],"This":[19],"paper":[20,85],"investigates":[21],"how":[22],"perform":[24],"robust":[25],"object":[26],"in":[28,62,78,156],"challenging":[29],"scenarios":[30],"by":[31,115],"adaptively":[32],"incorporating":[33],"information":[34],"from":[35],"grayscale":[36,130],"and":[37,40,71,96,110,131,151],"thermal":[38],"videos,":[39],"proposes":[41],"a":[42,87],"novel":[43],"collaborative":[44,59],"algorithm":[45],"online":[47,80],"tracking.":[48,158],"In":[49,82],"particular,":[50],"adaptive":[52],"fusion":[53],"scheme":[54],"is":[55],"proposed":[56,139],"based":[57],"on":[58],"sparse":[60,69],"representation":[61],"Bayesian":[63],"filtering":[64],"framework.":[65],"We":[66],"jointly":[67],"optimize":[68],"codes":[70],"the":[72,111,135,138],"reliable":[73],"weights":[74],"of":[75,137],"modalities":[77],"way.":[81],"addition,":[83],"this":[84],"contributes":[86],"comprehensive":[88],"video":[89],"benchmark,":[90],"which":[91],"includes":[92],"50":[93],"grayscale-thermal":[94,132,157],"sequences":[95],"their":[97],"ground":[98],"truth":[99],"annotations":[100,112],"purpose.":[103],"The":[104],"videos":[105],"are":[106],"with":[107,128],"high":[108],"diversity":[109],"were":[113],"finished":[114],"one":[116],"single":[117],"person":[118],"guarantee":[120],"consistency.":[121],"Extensive":[122],"experiments":[123],"against":[124],"other":[125],"state-of-the-art":[126],"trackers":[127],"both":[129],"inputs":[133],"demonstrate":[134],"effectiveness":[136],"approach.":[141],"Through":[142],"analyzing":[143],"quantitative":[144],"results,":[145],"we":[146],"also":[147],"provide":[148],"basic":[149],"insights":[150],"potential":[152],"future":[153],"research":[154],"directions":[155]},"counts_by_year":[{"year":2026,"cited_by_count":27},{"year":2025,"cited_by_count":61},{"year":2024,"cited_by_count":65},{"year":2023,"cited_by_count":62},{"year":2022,"cited_by_count":43},{"year":2021,"cited_by_count":40},{"year":2020,"cited_by_count":23},{"year":2019,"cited_by_count":29},{"year":2018,"cited_by_count":23},{"year":2017,"cited_by_count":14}],"updated_date":"2026-07-20T07:56:41.581041","created_date":"2025-10-10T00:00:00"}
