{"id":"https://openalex.org/W2056339660","doi":"https://doi.org/10.1109/lsp.2015.2404856","title":"Visual Tracking via Constrained Incremental Non-negative Matrix Factorization","display_name":"Visual Tracking via Constrained Incremental Non-negative Matrix Factorization","publication_year":2015,"publication_date":"2015-02-19","ids":{"openalex":"https://openalex.org/W2056339660","doi":"https://doi.org/10.1109/lsp.2015.2404856","mag":"2056339660"},"language":"en","primary_location":{"id":"doi:10.1109/lsp.2015.2404856","is_oa":false,"landing_page_url":"https://doi.org/10.1109/lsp.2015.2404856","pdf_url":null,"source":{"id":"https://openalex.org/S120629676","display_name":"IEEE Signal Processing Letters","issn_l":"1070-9908","issn":["1070-9908","1558-2361"],"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 Signal Processing Letters","raw_type":"journal-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/A5005591242","display_name":"Huanlong Zhang","orcid":"https://orcid.org/0000-0002-5130-5555"},"institutions":[{"id":"https://openalex.org/I9842412","display_name":"Nanjing University of Aeronautics and Astronautics","ror":"https://ror.org/01scyh794","country_code":"CN","type":"education","lineage":["https://openalex.org/I9842412"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Huanlong Zhang","raw_affiliation_strings":["School of Aeronautics and Astronautics in Shanghai Jiao Tong university, Shanghai, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Aeronautics and Astronautics in Shanghai Jiao Tong university, Shanghai, China","institution_ids":["https://openalex.org/I9842412"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5038281853","display_name":"Shiqing Hu","orcid":"https://orcid.org/0000-0001-8984-0038"},"institutions":[{"id":"https://openalex.org/I9842412","display_name":"Nanjing University of Aeronautics and Astronautics","ror":"https://ror.org/01scyh794","country_code":"CN","type":"education","lineage":["https://openalex.org/I9842412"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Shiqing Hu","raw_affiliation_strings":["School of Aeronautics and Astronautics in Shanghai Jiao Tong university, Shanghai, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Aeronautics and Astronautics in Shanghai Jiao Tong university, Shanghai, China","institution_ids":["https://openalex.org/I9842412"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100419444","display_name":"Xiaoyu Zhang","orcid":"https://orcid.org/0000-0003-4879-8499"},"institutions":[{"id":"https://openalex.org/I9842412","display_name":"Nanjing University of Aeronautics and Astronautics","ror":"https://ror.org/01scyh794","country_code":"CN","type":"education","lineage":["https://openalex.org/I9842412"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xiaoyu Zhang","raw_affiliation_strings":["School of Aeronautics and Astronautics in Shanghai Jiao Tong university, Shanghai, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Aeronautics and Astronautics in Shanghai Jiao Tong university, Shanghai, China","institution_ids":["https://openalex.org/I9842412"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5011167321","display_name":"Lingkun Luo","orcid":"https://orcid.org/0000-0003-3300-5695"},"institutions":[{"id":"https://openalex.org/I9842412","display_name":"Nanjing University of Aeronautics and Astronautics","ror":"https://ror.org/01scyh794","country_code":"CN","type":"education","lineage":["https://openalex.org/I9842412"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Lingkun Luo","raw_affiliation_strings":["School of Aeronautics and Astronautics in Shanghai Jiao Tong university, Shanghai, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Aeronautics and Astronautics in Shanghai Jiao Tong university, Shanghai, China","institution_ids":["https://openalex.org/I9842412"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I9842412"],"apc_list":null,"apc_paid":null,"fwci":4.4905,"has_fulltext":false,"cited_by_count":30,"citation_normalized_percentile":{"value":0.95317161,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":89,"max":99},"biblio":{"volume":"22","issue":"9","first_page":"1350","last_page":"1353"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10331","display_name":"Video Surveillance and Tracking Methods","score":0.9984999895095825,"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":0.9984999895095825,"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":0.9901999831199646,"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":0.9850000143051147,"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/computer-science","display_name":"Computer science","score":0.5794636011123657},{"id":"https://openalex.org/keywords/non-negative-matrix-factorization","display_name":"Non-negative matrix factorization","score":0.5404855012893677},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5318042635917664},{"id":"https://openalex.org/keywords/regularization","display_name":"Regularization (linguistics)","score":0.5136103630065918},{"id":"https://openalex.org/keywords/iterative-method","display_name":"Iterative method","score":0.4950036406517029},{"id":"https://openalex.org/keywords/matrix-decomposition","display_name":"Matrix decomposition","score":0.45526862144470215},{"id":"https://openalex.org/keywords/eye-tracking","display_name":"Eye tracking","score":0.4266001284122467},{"id":"https://openalex.org/keywords/projection","display_name":"Projection (relational algebra)","score":0.42572787404060364},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.39492201805114746},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.36543169617652893},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.35526424646377563},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.3463556170463562}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5794636011123657},{"id":"https://openalex.org/C152671427","wikidata":"https://www.wikidata.org/wiki/Q10843505","display_name":"Non-negative matrix factorization","level":4,"score":0.5404855012893677},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5318042635917664},{"id":"https://openalex.org/C2776135515","wikidata":"https://www.wikidata.org/wiki/Q17143721","display_name":"Regularization (linguistics)","level":2,"score":0.5136103630065918},{"id":"https://openalex.org/C159694833","wikidata":"https://www.wikidata.org/wiki/Q2321565","display_name":"Iterative method","level":2,"score":0.4950036406517029},{"id":"https://openalex.org/C42355184","wikidata":"https://www.wikidata.org/wiki/Q1361088","display_name":"Matrix decomposition","level":3,"score":0.45526862144470215},{"id":"https://openalex.org/C56461940","wikidata":"https://www.wikidata.org/wiki/Q970687","display_name":"Eye tracking","level":2,"score":0.4266001284122467},{"id":"https://openalex.org/C57493831","wikidata":"https://www.wikidata.org/wiki/Q3134666","display_name":"Projection (relational algebra)","level":2,"score":0.42572787404060364},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.39492201805114746},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.36543169617652893},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.35526424646377563},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.3463556170463562},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C158693339","wikidata":"https://www.wikidata.org/wiki/Q190524","display_name":"Eigenvalues and eigenvectors","level":2,"score":0.0},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/lsp.2015.2404856","is_oa":false,"landing_page_url":"https://doi.org/10.1109/lsp.2015.2404856","pdf_url":null,"source":{"id":"https://openalex.org/S120629676","display_name":"IEEE Signal Processing Letters","issn_l":"1070-9908","issn":["1070-9908","1558-2361"],"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 Signal Processing Letters","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G1961401378","display_name":null,"funder_award_id":"61374161","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G2788346455","display_name":null,"funder_award_id":"61074106","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"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":28,"referenced_works":["https://openalex.org/W1667473330","https://openalex.org/W1902027874","https://openalex.org/W1969865991","https://openalex.org/W1969900471","https://openalex.org/W1981219153","https://openalex.org/W2020510457","https://openalex.org/W2026747704","https://openalex.org/W2031489346","https://openalex.org/W2060814785","https://openalex.org/W2063457978","https://openalex.org/W2076068008","https://openalex.org/W2086383524","https://openalex.org/W2098854771","https://openalex.org/W2101488078","https://openalex.org/W2108119513","https://openalex.org/W2109579504","https://openalex.org/W2112069101","https://openalex.org/W2121281940","https://openalex.org/W2124211486","https://openalex.org/W2129812935","https://openalex.org/W2132538571","https://openalex.org/W2135046866","https://openalex.org/W2139047213","https://openalex.org/W2167153731","https://openalex.org/W2183648259","https://openalex.org/W2268037738","https://openalex.org/W6686234685","https://openalex.org/W6693632943"],"related_works":["https://openalex.org/W2981907288","https://openalex.org/W2043414197","https://openalex.org/W2133030781","https://openalex.org/W2068959240","https://openalex.org/W1964120219","https://openalex.org/W2183271128","https://openalex.org/W1561602432","https://openalex.org/W1589443630","https://openalex.org/W4225259759","https://openalex.org/W2376649783"],"abstract_inverted_index":{"This":[0],"letter":[1],"presents":[2],"a":[3],"novel":[4],"visual":[5],"tracking":[6,108,116],"algorithm":[7,75,121],"by":[8],"using":[9,49],"Incremental":[10],"Non-negative":[11],"Matrix":[12],"Factorization":[13],"(INMF)":[14],"and":[15,67,97,133],"dual":[16],"\u21131-norm":[17],"constraints.":[18],"Firstly,":[19],"we":[20,40,71,89],"introduce":[21],"one":[22],"\u21131regularization":[23,43],"into":[24,93],"the":[25,45,58,64,78,83,114,119,126],"NMF":[26,54],"reconstruction,":[27],"which":[28,81],"enables":[29],"appearance":[30,104],"model":[31,105],"to":[32,36,52,62,76,102],"tolerate":[33],"different":[34],"noises":[35],"some":[37],"extent.":[38],"Meanwhile,":[39],"enforce":[41],"another":[42],"on":[44],"projection":[46,68],"coefficients":[47],"when":[48,125],"iterative":[50,74],"operators":[51],"obtain":[53,63],"basis":[55],"vectors":[56],"for":[57,106],"effective":[59],"tracking.":[60],"Secondly,":[61],"sparse":[65],"error":[66],"coefficient":[69],"matrice,":[70],"present":[72],"an":[73],"solve":[77],"optimal":[79],"problem,":[80],"ensures":[82],"representation":[84],"is":[85],"more":[86],"robust.":[87],"Finally,":[88],"take":[90],"partial":[91],"occlusion":[92],"construct":[94],"likelihood":[95],"function,":[96],"combined":[98],"with":[99,113],"INMF":[100],"learning":[101],"update":[103],"alleviating":[107],"drift.":[109],"Experimental":[110],"results":[111],"compared":[112],"state-of-the-art":[115],"methods":[117],"demonstrate":[118],"proposed":[120],"achieves":[122],"favorable":[123],"performance":[124],"object":[127],"undergoes":[128],"large":[129],"occlusion,":[130],"motion":[131],"blur":[132],"illumination":[134],"changes.":[135]},"counts_by_year":[{"year":2024,"cited_by_count":1},{"year":2022,"cited_by_count":1},{"year":2021,"cited_by_count":1},{"year":2020,"cited_by_count":4},{"year":2019,"cited_by_count":4},{"year":2018,"cited_by_count":6},{"year":2017,"cited_by_count":7},{"year":2016,"cited_by_count":4},{"year":2015,"cited_by_count":2}],"updated_date":"2026-07-29T09:40:50.615796","created_date":"2025-10-10T00:00:00"}