{"id":"https://openalex.org/W2121317779","doi":"https://doi.org/10.1109/icra.2011.5979738","title":"Structured sparse representation appearance model for robust visual tracking","display_name":"Structured sparse representation appearance model for robust visual tracking","publication_year":2011,"publication_date":"2011-05-01","ids":{"openalex":"https://openalex.org/W2121317779","doi":"https://doi.org/10.1109/icra.2011.5979738","mag":"2121317779"},"language":"en","primary_location":{"id":"doi:10.1109/icra.2011.5979738","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icra.2011.5979738","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2011 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/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":"Tianxiang Bai","raw_affiliation_strings":["Department of Manufacturing Engineering and Engineering Management, City University of Hong Kong, Kowloon, Hong Kong, China","Department of Manufacturing Engineering & Engineering Management, City University of Hong Kong, Kowloon, Hong Kong#TAB#"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Manufacturing Engineering and Engineering Management, City University of Hong Kong, Kowloon, Hong Kong, China","institution_ids":["https://openalex.org/I168719708"]},{"raw_affiliation_string":"Department of Manufacturing Engineering & Engineering Management, City University of Hong Kong, Kowloon, Hong Kong#TAB#","institution_ids":["https://openalex.org/I168719708"]}]},{"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 Manufacturing Engineering and Engineering Management, City University of Hong Kong, Kowloon, Hong Kong, China","Department of Manufacturing Engineering & Engineering Management, City University of Hong Kong, Kowloon, Hong Kong#TAB#"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Manufacturing Engineering and Engineering Management, City University of Hong Kong, Kowloon, Hong Kong, China","institution_ids":["https://openalex.org/I168719708"]},{"raw_affiliation_string":"Department of Manufacturing Engineering & Engineering Management, City University of Hong Kong, Kowloon, Hong Kong#TAB#","institution_ids":["https://openalex.org/I168719708"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5101814097","display_name":"Tang Yazhe","orcid":"https://orcid.org/0000-0001-5406-9060"},"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":"Yazhe Tang","raw_affiliation_strings":["Department of Manufacturing Engineering and Engineering Management, City University of Hong Kong, Kowloon, Hong Kong, China","Department of Manufacturing Engineering & Engineering Management, City University of Hong Kong, Kowloon, Hong Kong#TAB#"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Manufacturing Engineering and Engineering Management, City University of Hong Kong, Kowloon, Hong Kong, China","institution_ids":["https://openalex.org/I168719708"]},{"raw_affiliation_string":"Department of Manufacturing Engineering & Engineering Management, City University of Hong Kong, Kowloon, Hong Kong#TAB#","institution_ids":["https://openalex.org/I168719708"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":3.5233,"has_fulltext":false,"cited_by_count":17,"citation_normalized_percentile":{"value":0.92775983,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":90,"max":99},"biblio":{"volume":null,"issue":null,"first_page":"4399","last_page":"4404"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10500","display_name":"Sparse and Compressive Sensing Techniques","score":0.9994000196456909,"subfield":{"id":"https://openalex.org/subfields/2206","display_name":"Computational Mechanics"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T10500","display_name":"Sparse and Compressive Sensing Techniques","score":0.9994000196456909,"subfield":{"id":"https://openalex.org/subfields/2206","display_name":"Computational Mechanics"},"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/T10331","display_name":"Video Surveillance and Tracking Methods","score":0.9943000078201294,"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":0.9732999801635742,"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/sparse-approximation","display_name":"Sparse approximation","score":0.7766515016555786},{"id":"https://openalex.org/keywords/robustness","display_name":"Robustness (evolution)","score":0.6497179269790649},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6299146413803101},{"id":"https://openalex.org/keywords/matching-pursuit","display_name":"Matching pursuit","score":0.597044050693512},{"id":"https://openalex.org/keywords/particle-filter","display_name":"Particle filter","score":0.5511085391044617},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5425305366516113},{"id":"https://openalex.org/keywords/singular-value-decomposition","display_name":"Singular value decomposition","score":0.4635531008243561},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.45161134004592896},{"id":"https://openalex.org/keywords/representation","display_name":"Representation (politics)","score":0.4468826949596405},{"id":"https://openalex.org/keywords/k-svd","display_name":"K-SVD","score":0.43604668974876404},{"id":"https://openalex.org/keywords/block","display_name":"Block (permutation group theory)","score":0.42539751529693604},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.3802526891231537},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.3642871379852295},{"id":"https://openalex.org/keywords/filter","display_name":"Filter (signal processing)","score":0.2637369632720947},{"id":"https://openalex.org/keywords/compressed-sensing","display_name":"Compressed sensing","score":0.25166136026382446},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.21939843893051147}],"concepts":[{"id":"https://openalex.org/C124066611","wikidata":"https://www.wikidata.org/wiki/Q28684319","display_name":"Sparse approximation","level":2,"score":0.7766515016555786},{"id":"https://openalex.org/C63479239","wikidata":"https://www.wikidata.org/wiki/Q7353546","display_name":"Robustness (evolution)","level":3,"score":0.6497179269790649},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6299146413803101},{"id":"https://openalex.org/C156872377","wikidata":"https://www.wikidata.org/wiki/Q6786281","display_name":"Matching pursuit","level":3,"score":0.597044050693512},{"id":"https://openalex.org/C52421305","wikidata":"https://www.wikidata.org/wiki/Q1151499","display_name":"Particle filter","level":3,"score":0.5511085391044617},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5425305366516113},{"id":"https://openalex.org/C22789450","wikidata":"https://www.wikidata.org/wiki/Q420904","display_name":"Singular value decomposition","level":2,"score":0.4635531008243561},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.45161134004592896},{"id":"https://openalex.org/C2776359362","wikidata":"https://www.wikidata.org/wiki/Q2145286","display_name":"Representation (politics)","level":3,"score":0.4468826949596405},{"id":"https://openalex.org/C154771677","wikidata":"https://www.wikidata.org/wiki/Q17098361","display_name":"K-SVD","level":3,"score":0.43604668974876404},{"id":"https://openalex.org/C2777210771","wikidata":"https://www.wikidata.org/wiki/Q4927124","display_name":"Block (permutation group theory)","level":2,"score":0.42539751529693604},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.3802526891231537},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3642871379852295},{"id":"https://openalex.org/C106131492","wikidata":"https://www.wikidata.org/wiki/Q3072260","display_name":"Filter (signal processing)","level":2,"score":0.2637369632720947},{"id":"https://openalex.org/C124851039","wikidata":"https://www.wikidata.org/wiki/Q2665459","display_name":"Compressed sensing","level":2,"score":0.25166136026382446},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.21939843893051147},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","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/C199539241","wikidata":"https://www.wikidata.org/wiki/Q7748","display_name":"Law","level":1,"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},{"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/C94625758","wikidata":"https://www.wikidata.org/wiki/Q7163","display_name":"Politics","level":2,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icra.2011.5979738","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icra.2011.5979738","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2011 IEEE International Conference on Robotics and Automation","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":26,"referenced_works":["https://openalex.org/W2021302824","https://openalex.org/W2078204800","https://openalex.org/W2098996169","https://openalex.org/W2110121428","https://openalex.org/W2126444227","https://openalex.org/W2127271355","https://openalex.org/W2128716185","https://openalex.org/W2129812935","https://openalex.org/W2131200790","https://openalex.org/W2132103241","https://openalex.org/W2135780853","https://openalex.org/W2139047213","https://openalex.org/W2143715815","https://openalex.org/W2147276092","https://openalex.org/W2152826865","https://openalex.org/W2160337655","https://openalex.org/W2163985430","https://openalex.org/W2167089254","https://openalex.org/W2183648259","https://openalex.org/W2753461371","https://openalex.org/W2803670972","https://openalex.org/W2986028972","https://openalex.org/W4231340930","https://openalex.org/W6676539569","https://openalex.org/W6684274140","https://openalex.org/W6686234685"],"related_works":["https://openalex.org/W2011611369","https://openalex.org/W4245251483","https://openalex.org/W4254934694","https://openalex.org/W2160547390","https://openalex.org/W2113038107","https://openalex.org/W2965458591","https://openalex.org/W1992008660","https://openalex.org/W2532569109","https://openalex.org/W2944524174","https://openalex.org/W2994662386"],"abstract_inverted_index":{"We":[0,35],"propose":[1],"a":[2,21,29,111,118,125],"robust":[3],"visual":[4,46,130],"tracker":[5,144],"based":[6,81],"on":[7,82,147],"structured":[8,38,71],"sparse":[9,22,30,39,72,138],"representation":[10,40,73,139],"appearance":[11,14,101],"model.":[12],"The":[13,59,77],"of":[15,25,55,99,137],"tracking":[16,47],"target":[17,100],"is":[18,61,107],"modeled":[19],"as":[20],"linear":[23],"combination":[24],"Eigen":[26,90],"templates":[27,91],"plus":[28],"error":[31,106],"due":[32],"to":[33,95,109,123,133],"occlusions.":[34],"address":[36],"the":[37,44,51,89,97,104,134],"that":[41,92,115],"preferably":[42],"matches":[43],"practical":[45],"problem":[48,74],"by":[49,63],"taking":[50],"contiguous":[52],"spatial":[53],"distribution":[54],"occlusion":[56],"into":[57],"account.":[58],"sparsity":[60],"achieved":[62],"Block":[64],"Orthogonal":[65],"Matching":[66],"Pursuit":[67],"(BOMP)":[68],"for":[69,129],"solving":[70],"more":[75],"efficiently.":[76],"model":[78,114,122],"update":[79],"scheme,":[80],"incremental":[83],"Singular":[84],"Value":[85],"Decomposition":[86],"(SVD),":[87],"guarantees":[88],"are":[93],"able":[94],"capture":[96],"variations":[98],"online.":[102],"Then":[103],"approximation":[105],"adopted":[108],"build":[110],"probabilistic":[112],"observation":[113],"integrates":[116],"with":[117,156],"stochastic":[119],"affine":[120],"motion":[121],"form":[124],"particle":[126],"filter":[127],"framework":[128],"tracking.":[131],"Thanks":[132],"block":[135],"structure":[136],"and":[140,150],"BOMP,":[141],"our":[142],"proposed":[143],"demonstrates":[145],"superiority":[146],"both":[148],"efficiency":[149],"robustness":[151],"improvement":[152],"in":[153],"comparison":[154],"experiments":[155],"publicly":[157],"available":[158],"benchmark":[159],"video":[160],"sequences.":[161]},"counts_by_year":[{"year":2019,"cited_by_count":1},{"year":2018,"cited_by_count":1},{"year":2016,"cited_by_count":1},{"year":2015,"cited_by_count":4},{"year":2014,"cited_by_count":1},{"year":2013,"cited_by_count":6},{"year":2012,"cited_by_count":3}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}