{"id":"https://openalex.org/W2016075127","doi":"https://doi.org/10.1109/cvpr.2012.6247882","title":"Robust object tracking via sparsity-based collaborative model","display_name":"Robust object tracking via sparsity-based collaborative model","publication_year":2012,"publication_date":"2012-06-01","ids":{"openalex":"https://openalex.org/W2016075127","doi":"https://doi.org/10.1109/cvpr.2012.6247882","mag":"2016075127"},"language":"en","primary_location":{"id":"doi:10.1109/cvpr.2012.6247882","is_oa":false,"landing_page_url":"https://doi.org/10.1109/cvpr.2012.6247882","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2012 IEEE Conference on Computer Vision and Pattern Recognition","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/A5074654486","display_name":"Wei Zhong","orcid":"https://orcid.org/0000-0001-9325-6299"},"institutions":[{"id":"https://openalex.org/I27357992","display_name":"Dalian University of Technology","ror":"https://ror.org/023hj5876","country_code":"CN","type":"education","lineage":["https://openalex.org/I27357992"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Wei Zhong","raw_affiliation_strings":["Dalian University of Technology, China","Dalian Univ of Tech"],"affiliations":[{"raw_affiliation_string":"Dalian University of Technology, China","institution_ids":["https://openalex.org/I27357992"]},{"raw_affiliation_string":"Dalian Univ of Tech","institution_ids":["https://openalex.org/I27357992"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5006986293","display_name":"Huchuan Lu","orcid":"https://orcid.org/0000-0002-6668-9758"},"institutions":[{"id":"https://openalex.org/I27357992","display_name":"Dalian University of Technology","ror":"https://ror.org/023hj5876","country_code":"CN","type":"education","lineage":["https://openalex.org/I27357992"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Huchuan Lu","raw_affiliation_strings":["Dalian University of Technology, China","Dalian Univ of Tech"],"affiliations":[{"raw_affiliation_string":"Dalian University of Technology, China","institution_ids":["https://openalex.org/I27357992"]},{"raw_affiliation_string":"Dalian Univ of Tech","institution_ids":["https://openalex.org/I27357992"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100418319","display_name":"Ming\u2013Hsuan Yang","orcid":"https://orcid.org/0000-0003-4848-2304"},"institutions":[{"id":"https://openalex.org/I156087764","display_name":"University of California, Merced","ror":"https://ror.org/00d9ah105","country_code":"US","type":"education","lineage":["https://openalex.org/I156087764"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Ming-Hsuan Yang","raw_affiliation_strings":["University of California, Merced, USA","University of California at Merced"],"affiliations":[{"raw_affiliation_string":"University of California, Merced, USA","institution_ids":["https://openalex.org/I156087764"]},{"raw_affiliation_string":"University of California at Merced","institution_ids":["https://openalex.org/I156087764"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5074654486"],"corresponding_institution_ids":["https://openalex.org/I27357992"],"apc_list":null,"apc_paid":null,"fwci":90.7738,"has_fulltext":false,"cited_by_count":1004,"citation_normalized_percentile":{"value":0.99970212,"is_in_top_1_percent":true,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":91,"max":100},"biblio":{"volume":null,"issue":null,"first_page":"1838","last_page":"1845"},"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/T11448","display_name":"Face recognition and analysis","score":0.9847999811172485,"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":0.9837999939918518,"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/discriminative-model","display_name":"Discriminative model","score":0.8024438619613647},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7687528133392334},{"id":"https://openalex.org/keywords/histogram","display_name":"Histogram","score":0.6960767507553101},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6775923371315002},{"id":"https://openalex.org/keywords/robustness","display_name":"Robustness (evolution)","score":0.6265740990638733},{"id":"https://openalex.org/keywords/active-appearance-model","display_name":"Active appearance model","score":0.5857765078544617},{"id":"https://openalex.org/keywords/video-tracking","display_name":"Video tracking","score":0.5665483474731445},{"id":"https://openalex.org/keywords/generative-model","display_name":"Generative model","score":0.5523307919502258},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.5159807801246643},{"id":"https://openalex.org/keywords/classifier","display_name":"Classifier (UML)","score":0.5110431909561157},{"id":"https://openalex.org/keywords/object","display_name":"Object (grammar)","score":0.4594700038433075},{"id":"https://openalex.org/keywords/mean-shift","display_name":"Mean-shift","score":0.434539794921875},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.4276859164237976},{"id":"https://openalex.org/keywords/tracking","display_name":"Tracking (education)","score":0.4229612350463867},{"id":"https://openalex.org/keywords/scheme","display_name":"Scheme (mathematics)","score":0.41754794120788574},{"id":"https://openalex.org/keywords/generative-grammar","display_name":"Generative grammar","score":0.29142099618911743},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.16235759854316711},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.11858716607093811}],"concepts":[{"id":"https://openalex.org/C97931131","wikidata":"https://www.wikidata.org/wiki/Q5282087","display_name":"Discriminative model","level":2,"score":0.8024438619613647},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7687528133392334},{"id":"https://openalex.org/C53533937","wikidata":"https://www.wikidata.org/wiki/Q185020","display_name":"Histogram","level":3,"score":0.6960767507553101},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6775923371315002},{"id":"https://openalex.org/C63479239","wikidata":"https://www.wikidata.org/wiki/Q7353546","display_name":"Robustness (evolution)","level":3,"score":0.6265740990638733},{"id":"https://openalex.org/C83248878","wikidata":"https://www.wikidata.org/wiki/Q344000","display_name":"Active appearance model","level":3,"score":0.5857765078544617},{"id":"https://openalex.org/C202474056","wikidata":"https://www.wikidata.org/wiki/Q1931635","display_name":"Video tracking","level":3,"score":0.5665483474731445},{"id":"https://openalex.org/C167966045","wikidata":"https://www.wikidata.org/wiki/Q5532625","display_name":"Generative model","level":3,"score":0.5523307919502258},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.5159807801246643},{"id":"https://openalex.org/C95623464","wikidata":"https://www.wikidata.org/wiki/Q1096149","display_name":"Classifier (UML)","level":2,"score":0.5110431909561157},{"id":"https://openalex.org/C2781238097","wikidata":"https://www.wikidata.org/wiki/Q175026","display_name":"Object (grammar)","level":2,"score":0.4594700038433075},{"id":"https://openalex.org/C48548287","wikidata":"https://www.wikidata.org/wiki/Q6803557","display_name":"Mean-shift","level":3,"score":0.434539794921875},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.4276859164237976},{"id":"https://openalex.org/C2775936607","wikidata":"https://www.wikidata.org/wiki/Q466845","display_name":"Tracking (education)","level":2,"score":0.4229612350463867},{"id":"https://openalex.org/C77618280","wikidata":"https://www.wikidata.org/wiki/Q1155772","display_name":"Scheme (mathematics)","level":2,"score":0.41754794120788574},{"id":"https://openalex.org/C39890363","wikidata":"https://www.wikidata.org/wiki/Q36108","display_name":"Generative grammar","level":2,"score":0.29142099618911743},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.16235759854316711},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.11858716607093811},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"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/C55493867","wikidata":"https://www.wikidata.org/wiki/Q7094","display_name":"Biochemistry","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},{"id":"https://openalex.org/C104317684","wikidata":"https://www.wikidata.org/wiki/Q7187","display_name":"Gene","level":2,"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/cvpr.2012.6247882","is_oa":false,"landing_page_url":"https://doi.org/10.1109/cvpr.2012.6247882","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2012 IEEE Conference on Computer Vision and Pattern Recognition","raw_type":"proceedings-article"},{"id":"pmh:oai:CiteSeerX.psu:10.1.1.231.6939","is_oa":false,"landing_page_url":"http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.231.6939","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"http://faculty.ucmerced.edu/mhyang/papers/cvpr12b.pdf","raw_type":"text"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Reduced inequalities","id":"https://metadata.un.org/sdg/10","score":0.7400000095367432}],"awards":[{"id":"https://openalex.org/G2087396116","display_name":null,"funder_award_id":"China","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G3317480652","display_name":null,"funder_award_id":"Science","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G4613586837","display_name":null,"funder_award_id":"1149783","funder_id":"https://openalex.org/F4320306076","funder_display_name":"National Science Foundation"},{"id":"https://openalex.org/G5994120800","display_name":null,"funder_award_id":"Natural","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G6671297155","display_name":null,"funder_award_id":"CAREER","funder_id":"https://openalex.org/F4320306076","funder_display_name":"National Science Foundation"},{"id":"https://openalex.org/G8379616357","display_name":null,"funder_award_id":"61071209","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G848032724","display_name":null,"funder_award_id":"Science","funder_id":"https://openalex.org/F4320306076","funder_display_name":"National Science Foundation"}],"funders":[{"id":"https://openalex.org/F4320306076","display_name":"National Science Foundation","ror":"https://ror.org/021nxhr62"},{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":43,"referenced_works":["https://openalex.org/W1513768190","https://openalex.org/W1538712971","https://openalex.org/W1807914171","https://openalex.org/W2011197021","https://openalex.org/W2016309246","https://openalex.org/W2017214807","https://openalex.org/W2027922120","https://openalex.org/W2060451775","https://openalex.org/W2066513304","https://openalex.org/W2069959554","https://openalex.org/W2094687131","https://openalex.org/W2097018403","https://openalex.org/W2098854771","https://openalex.org/W2104331347","https://openalex.org/W2121058967","https://openalex.org/W2121193292","https://openalex.org/W2129812935","https://openalex.org/W2132103241","https://openalex.org/W2139047213","https://openalex.org/W2147533695","https://openalex.org/W2161160446","https://openalex.org/W2162919312","https://openalex.org/W2163532725","https://openalex.org/W2166742463","https://openalex.org/W2167089254","https://openalex.org/W2170865122","https://openalex.org/W2171354105","https://openalex.org/W2183648259","https://openalex.org/W2186094539","https://openalex.org/W2293873019","https://openalex.org/W2294602567","https://openalex.org/W2986028972","https://openalex.org/W4231340930","https://openalex.org/W4232730838","https://openalex.org/W6632188756","https://openalex.org/W6638399501","https://openalex.org/W6674642818","https://openalex.org/W6677973867","https://openalex.org/W6678134247","https://openalex.org/W6683794642","https://openalex.org/W6684274140","https://openalex.org/W6686234685","https://openalex.org/W6697111280"],"related_works":["https://openalex.org/W2045774261","https://openalex.org/W1578117154","https://openalex.org/W2054021310","https://openalex.org/W2786600129","https://openalex.org/W2801772698","https://openalex.org/W2086803433","https://openalex.org/W2612376223","https://openalex.org/W2757507228","https://openalex.org/W2115674166","https://openalex.org/W2016075127"],"abstract_inverted_index":{"In":[0,55,79],"this":[1],"paper":[2],"we":[3,28,59,83],"propose":[4,29,84],"a":[5,11,30,44,50,85],"robust":[6,31],"object":[7,19],"tracking":[8,20],"algorithm":[9],"using":[10],"collaborative":[12],"model.":[13],"As":[14],"the":[15,56,66,74,77,80,91,105,110,114,119,129,140],"main":[16],"challenge":[17],"for":[18,24],"is":[21],"to":[22,64,73,121],"account":[23],"drastic":[25],"appearance":[26,32,124],"change,":[27],"model":[33,53],"that":[34,69,89,139],"exploits":[35],"both":[36,109],"holistic":[37],"templates":[38],"and":[39,49,113,127],"local":[40],"representations.":[41],"We":[42],"develop":[43],"sparsity-based":[45,51],"discriminative":[46],"classifier":[47],"(SD-C)":[48],"generative":[52],"(SGM).":[54],"S-DC":[57],"module,":[58,82],"introduce":[60],"an":[61,100],"effective":[62],"method":[63,88],"compute":[65],"confidence":[67],"value":[68],"assigns":[70],"more":[71],"weights":[72],"foreground":[75],"than":[76],"background.":[78],"SGM":[81],"novel":[86],"histogram-based":[87],"takes":[90],"spatial":[92],"information":[93],"of":[94],"each":[95],"patch":[96],"into":[97],"consideration":[98],"with":[99,123],"occlusion":[101],"handing":[102],"scheme.":[103],"Furthermore,":[104],"update":[106],"scheme":[107],"considers":[108],"latest":[111],"observations":[112],"original":[115],"template,":[116],"thereby":[117],"enabling":[118],"tracker":[120,142],"deal":[122],"change":[125],"effectively":[126],"alleviate":[128],"drift":[130],"problem.":[131],"Numerous":[132],"experiments":[133],"on":[134],"various":[135],"challenging":[136],"videos":[137],"demonstrate":[138],"proposed":[141],"performs":[143],"favorably":[144],"against":[145],"several":[146],"state-of-the-art":[147],"algorithms.":[148]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":3},{"year":2023,"cited_by_count":6},{"year":2022,"cited_by_count":18},{"year":2021,"cited_by_count":28},{"year":2020,"cited_by_count":48},{"year":2019,"cited_by_count":90},{"year":2018,"cited_by_count":128},{"year":2017,"cited_by_count":159},{"year":2016,"cited_by_count":196},{"year":2015,"cited_by_count":182},{"year":2014,"cited_by_count":98},{"year":2013,"cited_by_count":40},{"year":2012,"cited_by_count":7}],"updated_date":"2026-04-13T07:58:08.660418","created_date":"2025-10-10T00:00:00"}