{"id":"https://openalex.org/W2019445225","doi":"https://doi.org/10.1109/icra.2013.6631409","title":"Learning appearance manifolds with structured sparse representation for robust visual tracking","display_name":"Learning appearance manifolds with structured sparse representation for robust visual tracking","publication_year":2013,"publication_date":"2013-05-01","ids":{"openalex":"https://openalex.org/W2019445225","doi":"https://doi.org/10.1109/icra.2013.6631409","mag":"2019445225"},"language":"en","primary_location":{"id":"doi:10.1109/icra.2013.6631409","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icra.2013.6631409","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2013 IEEE International Conference on Robotics and Automation","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/A5021921226","display_name":"Tianxiang Bai","orcid":"https://orcid.org/0000-0001-8159-2631"},"institutions":[{"id":"https://openalex.org/I4210129155","display_name":"ASM Pacific Technology (China)","ror":"https://ror.org/03nvser95","country_code":"CN","type":"company","lineage":["https://openalex.org/I4210129155"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Tianxiang Bai","raw_affiliation_strings":["ASM Pacific Technology Limited, Kwai Chung, Hong Kong, China","ASM Pacific Technol. Ltd., Hong Kong, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"ASM Pacific Technology Limited, Kwai Chung, Hong Kong, China","institution_ids":["https://openalex.org/I4210129155"]},{"raw_affiliation_string":"ASM Pacific Technol. Ltd., Hong Kong, China","institution_ids":["https://openalex.org/I4210129155"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100642147","display_name":"Youfu Li","orcid":"https://orcid.org/0000-0002-5227-1326"},"institutions":[{"id":"https://openalex.org/I168719708","display_name":"City University of Hong Kong","ror":"https://ror.org/03q8dnn23","country_code":"HK","type":"education","lineage":["https://openalex.org/I168719708"]}],"countries":["HK"],"is_corresponding":false,"raw_author_name":"Y.F. Li","raw_affiliation_strings":["Department of Mechanical and Biomedical Engineering, City University of Hong Kong, Hong Kong, China","Dept. of Mech. & Biomed. Eng., City Univ. of Hong Kong, Kowloon, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Mechanical and Biomedical Engineering, City University of Hong Kong, Hong Kong, China","institution_ids":["https://openalex.org/I168719708"]},{"raw_affiliation_string":"Dept. of Mech. & Biomed. Eng., City Univ. of Hong Kong, Kowloon, China","institution_ids":["https://openalex.org/I168719708"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5003260829","display_name":"Zhanpeng Shao","orcid":"https://orcid.org/0000-0002-8130-5230"},"institutions":[{"id":"https://openalex.org/I168719708","display_name":"City University of Hong Kong","ror":"https://ror.org/03q8dnn23","country_code":"HK","type":"education","lineage":["https://openalex.org/I168719708"]}],"countries":["HK"],"is_corresponding":false,"raw_author_name":"Zhanpeng Shao","raw_affiliation_strings":["Department of Mechanical and Biomedical Engineering, City University of Hong Kong, Hong Kong, China","Dept. of Mech. & Biomed. Eng., City Univ. of Hong Kong, Kowloon, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Mechanical and Biomedical Engineering, City University of Hong Kong, Hong Kong, China","institution_ids":["https://openalex.org/I168719708"]},{"raw_affiliation_string":"Dept. of Mech. & Biomed. Eng., City Univ. of Hong Kong, Kowloon, China","institution_ids":["https://openalex.org/I168719708"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.09238426,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"26","issue":null,"first_page":"5788","last_page":"5793"},"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":0.991100013256073,"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":0.9901000261306763,"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/robustness","display_name":"Robustness (evolution)","score":0.7479533553123474},{"id":"https://openalex.org/keywords/sparse-approximation","display_name":"Sparse approximation","score":0.7324804663658142},{"id":"https://openalex.org/keywords/linear-subspace","display_name":"Linear subspace","score":0.6732407808303833},{"id":"https://openalex.org/keywords/discriminative-model","display_name":"Discriminative model","score":0.620955228805542},{"id":"https://openalex.org/keywords/subspace-topology","display_name":"Subspace topology","score":0.6142566204071045},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.606196403503418},{"id":"https://openalex.org/keywords/matching-pursuit","display_name":"Matching pursuit","score":0.5471755862236023},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5415108799934387},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.4897341728210449},{"id":"https://openalex.org/keywords/video-tracking","display_name":"Video tracking","score":0.48715993762016296},{"id":"https://openalex.org/keywords/representation","display_name":"Representation (politics)","score":0.4819071590900421},{"id":"https://openalex.org/keywords/eye-tracking","display_name":"Eye tracking","score":0.4574434459209442},{"id":"https://openalex.org/keywords/nonlinear-system","display_name":"Nonlinear system","score":0.4176594913005829},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.3818994164466858},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.3446090817451477},{"id":"https://openalex.org/keywords/object","display_name":"Object (grammar)","score":0.17636620998382568},{"id":"https://openalex.org/keywords/compressed-sensing","display_name":"Compressed sensing","score":0.11885324120521545}],"concepts":[{"id":"https://openalex.org/C63479239","wikidata":"https://www.wikidata.org/wiki/Q7353546","display_name":"Robustness (evolution)","level":3,"score":0.7479533553123474},{"id":"https://openalex.org/C124066611","wikidata":"https://www.wikidata.org/wiki/Q28684319","display_name":"Sparse approximation","level":2,"score":0.7324804663658142},{"id":"https://openalex.org/C12362212","wikidata":"https://www.wikidata.org/wiki/Q728435","display_name":"Linear subspace","level":2,"score":0.6732407808303833},{"id":"https://openalex.org/C97931131","wikidata":"https://www.wikidata.org/wiki/Q5282087","display_name":"Discriminative model","level":2,"score":0.620955228805542},{"id":"https://openalex.org/C32834561","wikidata":"https://www.wikidata.org/wiki/Q660730","display_name":"Subspace topology","level":2,"score":0.6142566204071045},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.606196403503418},{"id":"https://openalex.org/C156872377","wikidata":"https://www.wikidata.org/wiki/Q6786281","display_name":"Matching pursuit","level":3,"score":0.5471755862236023},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5415108799934387},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.4897341728210449},{"id":"https://openalex.org/C202474056","wikidata":"https://www.wikidata.org/wiki/Q1931635","display_name":"Video tracking","level":3,"score":0.48715993762016296},{"id":"https://openalex.org/C2776359362","wikidata":"https://www.wikidata.org/wiki/Q2145286","display_name":"Representation (politics)","level":3,"score":0.4819071590900421},{"id":"https://openalex.org/C56461940","wikidata":"https://www.wikidata.org/wiki/Q970687","display_name":"Eye tracking","level":2,"score":0.4574434459209442},{"id":"https://openalex.org/C158622935","wikidata":"https://www.wikidata.org/wiki/Q660848","display_name":"Nonlinear system","level":2,"score":0.4176594913005829},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.3818994164466858},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.3446090817451477},{"id":"https://openalex.org/C2781238097","wikidata":"https://www.wikidata.org/wiki/Q175026","display_name":"Object (grammar)","level":2,"score":0.17636620998382568},{"id":"https://openalex.org/C124851039","wikidata":"https://www.wikidata.org/wiki/Q2665459","display_name":"Compressed sensing","level":2,"score":0.11885324120521545},{"id":"https://openalex.org/C104317684","wikidata":"https://www.wikidata.org/wiki/Q7187","display_name":"Gene","level":2,"score":0.0},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0},{"id":"https://openalex.org/C94625758","wikidata":"https://www.wikidata.org/wiki/Q7163","display_name":"Politics","level":2,"score":0.0},{"id":"https://openalex.org/C17744445","wikidata":"https://www.wikidata.org/wiki/Q36442","display_name":"Political science","level":0,"score":0.0},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0},{"id":"https://openalex.org/C199539241","wikidata":"https://www.wikidata.org/wiki/Q7748","display_name":"Law","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},{"id":"https://openalex.org/C55493867","wikidata":"https://www.wikidata.org/wiki/Q7094","display_name":"Biochemistry","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icra.2013.6631409","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icra.2013.6631409","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2013 IEEE International Conference on Robotics and Automation","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":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":22,"referenced_works":["https://openalex.org/W1538712971","https://openalex.org/W1636936512","https://openalex.org/W2009088154","https://openalex.org/W2087399108","https://openalex.org/W2098854771","https://openalex.org/W2109579504","https://openalex.org/W2113577207","https://openalex.org/W2121317779","https://openalex.org/W2131858147","https://openalex.org/W2132103241","https://openalex.org/W2133140216","https://openalex.org/W2135780853","https://openalex.org/W2139047213","https://openalex.org/W2139927044","https://openalex.org/W2145948906","https://openalex.org/W2160337655","https://openalex.org/W2161160446","https://openalex.org/W2166926957","https://openalex.org/W2753461371","https://openalex.org/W6632188756","https://openalex.org/W6636707023","https://openalex.org/W6683794642"],"related_works":["https://openalex.org/W2011611369","https://openalex.org/W4297791310","https://openalex.org/W4372266926","https://openalex.org/W4245251483","https://openalex.org/W1998873033","https://openalex.org/W2116148865","https://openalex.org/W2366556501","https://openalex.org/W2965458591","https://openalex.org/W1520740474","https://openalex.org/W4254934694"],"abstract_inverted_index":{"This":[0],"paper":[1],"presents":[2],"a":[3,30,84,121],"novel":[4],"algorithm":[5,50],"for":[6],"robust":[7],"visual":[8],"object":[9],"tracking":[10],"based":[11,22,67],"on":[12,68,131],"the":[13,25,45,48,52,69,78,82,94,102,112,137,144],"structured":[14,19,126,139],"sparse":[15,20,122,140],"representation":[16,21,141],"framework.":[17],"Conventional":[18],"tracker":[23],"models":[24],"nonlinear":[26,53,114],"appearance":[27,54,115],"manifold":[28,55,116],"with":[29],"single":[31],"subspace":[32],"that":[33,111,136],"is":[34],"difficult":[35],"to":[36,76],"handle":[37],"significant":[38],"pose":[39],"and":[40,71,97],"illumination":[41],"changes.":[42],"Different":[43],"from":[44],"afore-mentioned":[46],"method,":[47],"proposed":[49],"approximates":[51],"by":[56,62,120],"multiple":[57],"low":[58],"dimensional":[59],"subspaces":[60,89],"computed":[61],"an":[63],"incremental":[64],"learning":[65],"scheme":[66],"merging":[70],"insert":[72],"strategy.":[73],"In":[74],"order":[75],"enhance":[77],"discriminative":[79],"power":[80],"of":[81,86,125,128,146],"model,":[83],"number":[85],"clustered":[87],"background":[88],"are":[90],"also":[91],"added":[92],"into":[93],"basis":[95],"library":[96],"updated":[98],"during":[99],"tracking.":[100,147],"With":[101],"Block":[103],"Orthogonal":[104],"Matching":[105],"Pursuit":[106],"(BOMP)":[107],"algorithm,":[108],"we":[109],"show":[110,135],"complex":[113],"can":[117],"effectively":[118],"represent":[119],"linear":[123],"combination":[124],"union":[127],"subspaces.":[129],"Experiments":[130],"benchmark":[132],"video":[133],"sequences":[134],"new":[138],"model":[142],"improves":[143],"robustness":[145]},"counts_by_year":[],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}