{"id":"https://openalex.org/W2040394573","doi":"https://doi.org/10.1109/dicta.2014.7008129","title":"Robust Visual Tracking via Rank-Constrained Sparse Learning","display_name":"Robust Visual Tracking via Rank-Constrained Sparse Learning","publication_year":2014,"publication_date":"2014-11-01","ids":{"openalex":"https://openalex.org/W2040394573","doi":"https://doi.org/10.1109/dicta.2014.7008129","mag":"2040394573"},"language":"en","primary_location":{"id":"doi:10.1109/dicta.2014.7008129","is_oa":false,"landing_page_url":"https://doi.org/10.1109/dicta.2014.7008129","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2014 International Conference on Digital Image Computing: Techniques and Applications (DICTA)","raw_type":"proceedings-article"},"type":"conference-paper","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/A5058274549","display_name":"Behzad Bozorgtabar","orcid":"https://orcid.org/0000-0002-5759-4896"},"institutions":[{"id":"https://openalex.org/I188329596","display_name":"University of Canberra","ror":"https://ror.org/04s1nv328","country_code":"AU","type":"education","lineage":["https://openalex.org/I188329596"]}],"countries":["AU"],"is_corresponding":false,"raw_author_name":"Behzad Bozorgtabar","raw_affiliation_strings":["Vision & Sensing, University of Canberra"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Vision & Sensing, University of Canberra","institution_ids":["https://openalex.org/I188329596"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5046144886","display_name":"Roland Goecke","orcid":"https://orcid.org/0000-0003-2279-7041"},"institutions":[{"id":"https://openalex.org/I118347636","display_name":"Australian National University","ror":"https://ror.org/019wvm592","country_code":"AU","type":"education","lineage":["https://openalex.org/I118347636"]},{"id":"https://openalex.org/I188329596","display_name":"University of Canberra","ror":"https://ror.org/04s1nv328","country_code":"AU","type":"education","lineage":["https://openalex.org/I188329596"]}],"countries":["AU"],"is_corresponding":false,"raw_author_name":"Roland Goecke","raw_affiliation_strings":["IHCC, Australian National University","Vision & Sensing, University of Canberra"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"IHCC, Australian National University","institution_ids":["https://openalex.org/I118347636"]},{"raw_affiliation_string":"Vision & Sensing, University of Canberra","institution_ids":["https://openalex.org/I188329596"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"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":0.13111285,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"7","issue":null,"first_page":"1","last_page":"7"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10331","display_name":"Video Surveillance and Tracking Methods","score":0.9998000264167786,"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":0.9998000264167786,"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/T11019","display_name":"Image Enhancement Techniques","score":0.9905999898910522,"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":0.98580002784729,"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/particle-filter","display_name":"Particle filter","score":0.7526570558547974},{"id":"https://openalex.org/keywords/discriminative-model","display_name":"Discriminative model","score":0.7308507561683655},{"id":"https://openalex.org/keywords/robustness","display_name":"Robustness (evolution)","score":0.7033423781394958},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6544238328933716},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6315439343452454},{"id":"https://openalex.org/keywords/sparse-approximation","display_name":"Sparse approximation","score":0.6268424987792969},{"id":"https://openalex.org/keywords/eye-tracking","display_name":"Eye tracking","score":0.6041592359542847},{"id":"https://openalex.org/keywords/k-svd","display_name":"K-SVD","score":0.5295085906982422},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.5166840553283691},{"id":"https://openalex.org/keywords/rank","display_name":"Rank (graph theory)","score":0.4801877737045288},{"id":"https://openalex.org/keywords/subspace-topology","display_name":"Subspace topology","score":0.464047372341156},{"id":"https://openalex.org/keywords/tracking","display_name":"Tracking (education)","score":0.4160251319408417},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.21851220726966858},{"id":"https://openalex.org/keywords/kalman-filter","display_name":"Kalman filter","score":0.10289806127548218}],"concepts":[{"id":"https://openalex.org/C52421305","wikidata":"https://www.wikidata.org/wiki/Q1151499","display_name":"Particle filter","level":3,"score":0.7526570558547974},{"id":"https://openalex.org/C97931131","wikidata":"https://www.wikidata.org/wiki/Q5282087","display_name":"Discriminative model","level":2,"score":0.7308507561683655},{"id":"https://openalex.org/C63479239","wikidata":"https://www.wikidata.org/wiki/Q7353546","display_name":"Robustness (evolution)","level":3,"score":0.7033423781394958},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6544238328933716},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6315439343452454},{"id":"https://openalex.org/C124066611","wikidata":"https://www.wikidata.org/wiki/Q28684319","display_name":"Sparse approximation","level":2,"score":0.6268424987792969},{"id":"https://openalex.org/C56461940","wikidata":"https://www.wikidata.org/wiki/Q970687","display_name":"Eye tracking","level":2,"score":0.6041592359542847},{"id":"https://openalex.org/C154771677","wikidata":"https://www.wikidata.org/wiki/Q17098361","display_name":"K-SVD","level":3,"score":0.5295085906982422},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5166840553283691},{"id":"https://openalex.org/C164226766","wikidata":"https://www.wikidata.org/wiki/Q7293202","display_name":"Rank (graph theory)","level":2,"score":0.4801877737045288},{"id":"https://openalex.org/C32834561","wikidata":"https://www.wikidata.org/wiki/Q660730","display_name":"Subspace topology","level":2,"score":0.464047372341156},{"id":"https://openalex.org/C2775936607","wikidata":"https://www.wikidata.org/wiki/Q466845","display_name":"Tracking (education)","level":2,"score":0.4160251319408417},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.21851220726966858},{"id":"https://openalex.org/C157286648","wikidata":"https://www.wikidata.org/wiki/Q846780","display_name":"Kalman filter","level":2,"score":0.10289806127548218},{"id":"https://openalex.org/C114614502","wikidata":"https://www.wikidata.org/wiki/Q76592","display_name":"Combinatorics","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/C19417346","wikidata":"https://www.wikidata.org/wiki/Q7922","display_name":"Pedagogy","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/C104317684","wikidata":"https://www.wikidata.org/wiki/Q7187","display_name":"Gene","level":2,"score":0.0}],"mesh":[],"locations_count":4,"locations":[{"id":"doi:10.1109/dicta.2014.7008129","is_oa":false,"landing_page_url":"https://doi.org/10.1109/dicta.2014.7008129","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2014 International Conference on Digital Image Computing: Techniques and Applications (DICTA)","raw_type":"proceedings-article"},{"id":"pmh:oai:CiteSeerX.psu:10.1.1.658.5548","is_oa":false,"landing_page_url":"http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.658.5548","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"http://staff.estem-uc.edu.au/roland/files/2009/05/Bozorgtabar_Goecke_DICTA2014_RobustVisualTrackingViaRank-ConstrainedSparseLearning.pdf","raw_type":"text"},{"id":"pmh:oai:openresearch-repository.anu.edu.au:1885/67212","is_oa":false,"landing_page_url":"http://hdl.handle.net/1885/67212","pdf_url":null,"source":{"id":"https://openalex.org/S4306402539","display_name":"ANU Open Research (Australian National University)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I118347636","host_organization_name":"Australian National University","host_organization_lineage":["https://openalex.org/I118347636"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Reflective Features Detection and Hierarchical Reflections Separation in Image Sequences","raw_type":"Conference paper"},{"id":"pmh:tle:da146e1c-98bc-4331-8699-ed9ec689a3c6:1f071524-0ffb-45dd-b0fd-e2ac8222ffc2:1","is_oa":false,"landing_page_url":"http://www.canberra.edu.au/researchrepository/items/da146e1c-98bc-4331-8699-ed9ec689a3c6/1/","pdf_url":null,"source":{"id":"https://openalex.org/S7407050591","display_name":"University of Canberra Research Portal","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"Conference Paper"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.75,"display_name":"Reduced inequalities","id":"https://metadata.un.org/sdg/10"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":30,"referenced_works":["https://openalex.org/W1538712971","https://openalex.org/W1552576688","https://openalex.org/W1560733133","https://openalex.org/W1565746575","https://openalex.org/W1636936512","https://openalex.org/W1997201895","https://openalex.org/W2000326692","https://openalex.org/W2001785244","https://openalex.org/W2016618780","https://openalex.org/W2019357592","https://openalex.org/W2060814785","https://openalex.org/W2074143295","https://openalex.org/W2076766946","https://openalex.org/W2098854771","https://openalex.org/W2098941887","https://openalex.org/W2104331347","https://openalex.org/W2113577207","https://openalex.org/W2121193292","https://openalex.org/W2132103241","https://openalex.org/W2139047213","https://openalex.org/W2147533695","https://openalex.org/W2158917775","https://openalex.org/W2162383208","https://openalex.org/W2165037244","https://openalex.org/W2167089254","https://openalex.org/W2293873019","https://openalex.org/W2915935370","https://openalex.org/W4231340930","https://openalex.org/W6665839387","https://openalex.org/W6684274140"],"related_works":["https://openalex.org/W2099321050","https://openalex.org/W2890952311","https://openalex.org/W2509955295","https://openalex.org/W2047275718","https://openalex.org/W2034957211","https://openalex.org/W2388952560","https://openalex.org/W110819671","https://openalex.org/W2080187108","https://openalex.org/W2149282631","https://openalex.org/W2204991413"],"abstract_inverted_index":{"In":[0],"this":[1,101],"paper,":[2],"we":[3,18,42,94,144],"present":[4,95],"an":[5,39,82,96],"improved":[6],"low-rank":[7,107],"sparse":[8,22,55,147],"learning":[9,102,115],"method":[10],"for":[11,78,130],"particle":[12,26,54,79,133],"filter":[13],"based":[14],"visual":[15,173],"tracking,":[16],"which":[17,154],"denote":[19],"as":[20],"rank-constrained":[21],"learning.":[23],"Since":[24],"each":[25],"can":[27],"be":[28],"sparsely":[29],"represented":[30],"by":[31,49,104],"a":[32,64,113,140],"linear":[33],"combination":[34],"of":[35,53,149,192],"the":[36,44,51,59,69,74,89,106,118,126,131,146,160,170,188,193],"bases":[37],"from":[38,110],"adaptive":[40,60,152],"dictionary,":[41],"exploit":[43],"underlying":[45],"structure":[46,66,108],"between":[47,157],"particles":[48,111,150],"constraining":[50],"rank":[52],"representations":[56,80],"jointly":[57],"over":[58],"dictionary.":[61],"Besides":[62],"utilising":[63],"common":[65],"among":[67],"particles,":[68],"proposed":[70,90,164,194],"tracker":[71],"also":[72],"suggests":[73],"most":[75],"discriminative":[76,120],"features":[77],"using":[81],"additional":[83],"feature":[84],"selection":[85],"module":[86],"employed":[87],"in":[88,117,136],"objective":[91],"function.":[92],"Furthermore,":[93],"efficient":[97],"way":[98,124],"to":[99,112,138,184],"solve":[100],"problem":[103,116],"connecting":[105],"extracted":[109],"simpler":[114],"devised":[119],"subspace.":[121],"The":[122,163],"suggested":[123],"improves":[125],"overall":[127],"computational":[128],"complexity":[129],"high-dimensional":[132],"candidates.":[134],"Finally,":[135],"order":[137],"achieve":[139],"more":[141],"robust":[142],"tracker,":[143],"augment":[145],"representation":[148],"with":[151],"weights,":[153],"indicate":[155],"similarity":[156],"candidates":[158],"and":[159,190],"dictionary":[161],"templates.":[162],"approach":[165],"is":[166],"extensively":[167],"evaluated":[168],"on":[169],"VOT":[171],"2013":[172],"tracking":[174],"evaluation":[175],"platform":[176],"including":[177],"16":[178],"challenging":[179],"sequences.":[180],"Experimental":[181],"results":[182],"compared":[183],"state-of-the-art":[185],"methods":[186],"show":[187],"robustness":[189],"effectiveness":[191],"tracker.":[195]},"counts_by_year":[],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2025-10-10T00:00:00"}