{"id":"https://openalex.org/W2293118806","doi":"https://doi.org/10.1109/icip.2015.7350894","title":"Online learning of multi-feature weights for robust object tracking","display_name":"Online learning of multi-feature weights for robust object tracking","publication_year":2015,"publication_date":"2015-09-01","ids":{"openalex":"https://openalex.org/W2293118806","doi":"https://doi.org/10.1109/icip.2015.7350894","mag":"2293118806"},"language":"en","primary_location":{"id":"doi:10.1109/icip.2015.7350894","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icip.2015.7350894","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2015 IEEE International Conference on Image Processing (ICIP)","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/A5061274720","display_name":"Tao Zhou","orcid":"https://orcid.org/0000-0002-2592-1688"},"institutions":[{"id":"https://openalex.org/I183067930","display_name":"Shanghai Jiao Tong University","ror":"https://ror.org/0220qvk04","country_code":"CN","type":"education","lineage":["https://openalex.org/I183067930"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Tao Zhou","raw_affiliation_strings":["Institute of Image Processing and Pattern Recognition, Shanghai Jiao Tong University, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Institute of Image Processing and Pattern Recognition, Shanghai Jiao Tong University, China","institution_ids":["https://openalex.org/I183067930"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5034881097","display_name":"Harish Bhaskar","orcid":"https://orcid.org/0000-0001-6517-6232"},"institutions":[{"id":"https://openalex.org/I176601375","display_name":"Khalifa University of Science and Technology","ror":"https://ror.org/05hffr360","country_code":"AE","type":"education","lineage":["https://openalex.org/I176601375"]}],"countries":["AE"],"is_corresponding":false,"raw_author_name":"Harish Bhaskar","raw_affiliation_strings":["Dept. of Elec. & Comp. Engg., Khalifa Univ. of Science Technology and Research, Abu Dhabi, U.A.E"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Dept. of Elec. & Comp. Engg., Khalifa Univ. of Science Technology and Research, Abu Dhabi, U.A.E","institution_ids":["https://openalex.org/I176601375"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5037041659","display_name":"Kai Xie","orcid":"https://orcid.org/0000-0003-3991-2771"},"institutions":[{"id":"https://openalex.org/I183067930","display_name":"Shanghai Jiao Tong University","ror":"https://ror.org/0220qvk04","country_code":"CN","type":"education","lineage":["https://openalex.org/I183067930"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Kai Xie","raw_affiliation_strings":["Institute of Image Processing and Pattern Recognition, Shanghai Jiao Tong University, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Institute of Image Processing and Pattern Recognition, Shanghai Jiao Tong University, China","institution_ids":["https://openalex.org/I183067930"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100404947","display_name":"Jie Yang","orcid":"https://orcid.org/0000-0003-4801-7162"},"institutions":[{"id":"https://openalex.org/I183067930","display_name":"Shanghai Jiao Tong University","ror":"https://ror.org/0220qvk04","country_code":"CN","type":"education","lineage":["https://openalex.org/I183067930"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jie Yang","raw_affiliation_strings":["Institute of Image Processing and Pattern Recognition, Shanghai Jiao Tong University, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Institute of Image Processing and Pattern Recognition, Shanghai Jiao Tong University, China","institution_ids":["https://openalex.org/I183067930"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5006921134","display_name":"Xiangjian He","orcid":"https://orcid.org/0000-0001-8962-540X"},"institutions":[{"id":"https://openalex.org/I114017466","display_name":"University of Technology Sydney","ror":"https://ror.org/03f0f6041","country_code":"AU","type":"education","lineage":["https://openalex.org/I114017466"]}],"countries":["AU"],"is_corresponding":false,"raw_author_name":"Xiangjian He","raw_affiliation_strings":["Faculty of Engineering and Information Technology, University of Technology, Sydney, Australia"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Faculty of Engineering and Information Technology, University of Technology, Sydney, Australia","institution_ids":["https://openalex.org/I114017466"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5101997579","display_name":"Pengfei Shi","orcid":"https://orcid.org/0000-0002-2966-1676"},"institutions":[{"id":"https://openalex.org/I183067930","display_name":"Shanghai Jiao Tong University","ror":"https://ror.org/0220qvk04","country_code":"CN","type":"education","lineage":["https://openalex.org/I183067930"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Pengfei Shi","raw_affiliation_strings":["Institute of Image Processing and Pattern Recognition, Shanghai Jiao Tong University, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Institute of Image Processing and Pattern Recognition, Shanghai Jiao Tong University, China","institution_ids":["https://openalex.org/I183067930"]}]}],"institutions":[],"countries_distinct_count":3,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.5407,"has_fulltext":false,"cited_by_count":8,"citation_normalized_percentile":{"value":0.75990008,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":96},"biblio":{"volume":"1","issue":null,"first_page":"725","last_page":"729"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10331","display_name":"Video Surveillance and Tracking Methods","score":1.0,"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":1.0,"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/T12222","display_name":"IoT-based Smart Home Systems","score":0.9710999727249146,"subfield":{"id":"https://openalex.org/subfields/2208","display_name":"Electrical and Electronic Engineering"},"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/T10057","display_name":"Face and Expression Recognition","score":0.9478999972343445,"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":0.7719457745552063},{"id":"https://openalex.org/keywords/discriminative-model","display_name":"Discriminative model","score":0.7185288071632385},{"id":"https://openalex.org/keywords/bittorrent-tracker","display_name":"BitTorrent tracker","score":0.6642053723335266},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6625751852989197},{"id":"https://openalex.org/keywords/video-tracking","display_name":"Video tracking","score":0.6601860523223877},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6490411162376404},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.49923157691955566},{"id":"https://openalex.org/keywords/representation","display_name":"Representation (politics)","score":0.46382609009742737},{"id":"https://openalex.org/keywords/eye-tracking","display_name":"Eye tracking","score":0.3975491523742676},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.35149648785591125},{"id":"https://openalex.org/keywords/object","display_name":"Object (grammar)","score":0.348069965839386},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.3448796570301056}],"concepts":[{"id":"https://openalex.org/C63479239","wikidata":"https://www.wikidata.org/wiki/Q7353546","display_name":"Robustness (evolution)","level":3,"score":0.7719457745552063},{"id":"https://openalex.org/C97931131","wikidata":"https://www.wikidata.org/wiki/Q5282087","display_name":"Discriminative model","level":2,"score":0.7185288071632385},{"id":"https://openalex.org/C57501372","wikidata":"https://www.wikidata.org/wiki/Q2021268","display_name":"BitTorrent tracker","level":3,"score":0.6642053723335266},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6625751852989197},{"id":"https://openalex.org/C202474056","wikidata":"https://www.wikidata.org/wiki/Q1931635","display_name":"Video tracking","level":3,"score":0.6601860523223877},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6490411162376404},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.49923157691955566},{"id":"https://openalex.org/C2776359362","wikidata":"https://www.wikidata.org/wiki/Q2145286","display_name":"Representation (politics)","level":3,"score":0.46382609009742737},{"id":"https://openalex.org/C56461940","wikidata":"https://www.wikidata.org/wiki/Q970687","display_name":"Eye tracking","level":2,"score":0.3975491523742676},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.35149648785591125},{"id":"https://openalex.org/C2781238097","wikidata":"https://www.wikidata.org/wiki/Q175026","display_name":"Object (grammar)","level":2,"score":0.348069965839386},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.3448796570301056},{"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/C199539241","wikidata":"https://www.wikidata.org/wiki/Q7748","display_name":"Law","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/C55493867","wikidata":"https://www.wikidata.org/wiki/Q7094","display_name":"Biochemistry","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/icip.2015.7350894","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icip.2015.7350894","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2015 IEEE International Conference on Image Processing (ICIP)","raw_type":"proceedings-article"},{"id":"pmh:oai:opus.lib.uts.edu.au:10453/41810","is_oa":false,"landing_page_url":"http://hdl.handle.net/10453/41810","pdf_url":null,"source":{"id":"https://openalex.org/S4306401357","display_name":"UTS ePRESS (University of Technology Sydney)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I114017466","host_organization_name":"University of Technology Sydney","host_organization_lineage":["https://openalex.org/I114017466"],"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 Proceeding"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/10","score":0.7099999785423279,"display_name":"Reduced inequalities"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":28,"referenced_works":["https://openalex.org/W28635243","https://openalex.org/W1967719795","https://openalex.org/W1999788504","https://openalex.org/W2009243364","https://openalex.org/W2042080705","https://openalex.org/W2058879733","https://openalex.org/W2066513304","https://openalex.org/W2080296254","https://openalex.org/W2098854771","https://openalex.org/W2121193292","https://openalex.org/W2124211486","https://openalex.org/W2125202975","https://openalex.org/W2130304107","https://openalex.org/W2132467081","https://openalex.org/W2139047213","https://openalex.org/W2147533695","https://openalex.org/W2154429285","https://openalex.org/W2158917775","https://openalex.org/W2161969291","https://openalex.org/W2165037244","https://openalex.org/W2165737454","https://openalex.org/W2167089254","https://openalex.org/W2171909552","https://openalex.org/W2183648259","https://openalex.org/W2986028972","https://openalex.org/W6652884443","https://openalex.org/W6683411478","https://openalex.org/W6684332838"],"related_works":["https://openalex.org/W2803618243","https://openalex.org/W256589335","https://openalex.org/W3020706491","https://openalex.org/W4385454113","https://openalex.org/W2804764393","https://openalex.org/W4386114301","https://openalex.org/W4386158955","https://openalex.org/W4384788979","https://openalex.org/W2511178891","https://openalex.org/W2012200063"],"abstract_inverted_index":{"Sparse":[0],"Representation":[1],"based":[2],"Classification":[3],"(SRC)":[4],"and":[5,30,107,147,184],"its":[6],"potential":[7],"in":[8,14,50,76,94,131,190],"object":[9,51,87,132],"tracking":[10,88,133,172],"have":[11,179],"been":[12],"explored":[13],"recent":[15],"years.":[16],"However,":[17],"the":[18,21,25,31,44,55,58,69,92,95,98,118,126,167,181,187],"trade-off":[19],"between":[20],"discriminative":[22],"ability":[23],"of":[24,33,37,47,60,63,97,128,170,186],"overly":[26],"emphasized":[27],"sparse":[28],"representation":[29,120,130],"lack":[32],"insight":[34],"on":[35,175],"correlation":[36],"visual":[38],"information":[39],"has":[40],"raised":[41],"questions":[42],"over":[43],"general":[45],"applicability":[46],"such":[48],"methods":[49],"tracking.":[52],"In":[53,79,122],"addition,":[54],"need":[56],"for":[57],"optimization":[59],"a":[61,82,109,144,155],"series":[62],"l1-regularized":[64],"least":[65,111],"square":[66,112],"norm,":[67],"increases":[68],"computational":[70],"complexity":[71],"thereby":[72],"limiting":[73],"their":[74],"usage":[75],"real-time":[77],"applications.":[78],"this":[80],"paper,":[81],"novel":[83],"approach":[84],"to":[85,116,124,161,192],"robust":[86],"is":[89,101,114,159],"proposed.":[90],"First,":[91],"variations":[93],"appearance":[96],"tracked":[99],"target":[100],"modelled":[102],"using":[103,143],"PCA":[104],"basis":[105],"vectors,":[106],"further,":[108],"l2-regularized":[110],"method":[113,189],"used":[115],"solve":[117],"proposed":[119,188],"model.":[121],"order":[123],"improve":[125],"robustness":[127,185],"feature":[129],"applications,":[134],"weights":[135],"are":[136],"associated":[137],"with":[138],"multiple":[139],"trackers;":[140],"each":[141],"formulated":[142],"different":[145,171],"feature,":[146],"adapted":[148],"via":[149],"an":[150,163],"online":[151],"learning":[152],"scheme.":[153],"Finally,":[154],"decision":[156],"fusion":[157],"criterion":[158],"imposed":[160],"generate":[162],"optimized":[164],"output":[165],"through":[166],"weighted":[168],"combination":[169],"results.":[173],"Experiments":[174],"challenging":[176],"video":[177],"sequences":[178],"demonstrated":[180],"superior":[182],"accuracy":[183],"comparison":[191],"thirteen":[193],"other":[194],"state-of-the-art":[195],"baselines.":[196]},"counts_by_year":[{"year":2021,"cited_by_count":1},{"year":2020,"cited_by_count":1},{"year":2019,"cited_by_count":2},{"year":2018,"cited_by_count":1},{"year":2017,"cited_by_count":2},{"year":2016,"cited_by_count":1}],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2025-10-10T00:00:00"}
