{"id":"https://openalex.org/W268522123","doi":null,"title":"Stochastic Modeling for Video Object Tracking and Online Learning: manifolds and particle filters","display_name":"Stochastic Modeling for Video Object Tracking and Online Learning: manifolds and particle filters","publication_year":2012,"publication_date":"2012-01-01","ids":{"openalex":"https://openalex.org/W268522123","mag":"268522123"},"language":"en","primary_location":{"id":"pmh:oai:publications.lib.chalmers.se:154508","doi":null,"is_oa":true,"landing_page_url":"http://publications.lib.chalmers.se/publication/154508-stochastic-modeling-for-video-object-tracking-and-online-learning-manifolds-and-particle-filters","pdf_url":"http://publications.lib.chalmers.se/records/fulltext/154508.pdf","source":{"id":"https://openalex.org/S4377196470","display_name":"Chalmers Publication Library (Chalmers University of Technology)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":"https://openalex.org/I66862912","host_organization_name":"Chalmers University of Technology","host_organization_lineage":["https://openalex.org/I66862912"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"Text.Thesis.Doctoral"},"volume":null,"type":"dissertation","is_traditional":true,"indexed_in":[],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"http://publications.lib.chalmers.se/records/fulltext/154508.pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5087520448","display_name":"Zulfiqar Hasan Khan","orcid":"https://orcid.org/0000-0002-7820-2775","observed_orcids":["https://orcid.org/0000-0002-7820-2775"]},"institutions":[],"countries":[],"is_corresponding":true,"raw_author_name":"Zulfiqar Hasan Khan","raw_affiliation_strings":[],"raw_orcid":"https://orcid.org/0000-0002-7820-2775","affiliations":[]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":0,"corresponding_author_ids":["https://openalex.org/A5087520448"],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":true,"cited_by_count":0,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":null,"last_page":null},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10331","display_name":"Video Surveillance and Tracking Methods","score":0.9990000128746033,"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":0.9990000128746033,"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/T10711","display_name":"Target Tracking and Data Fusion in Sensor Networks","score":0.00019999999494757503,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"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/T11099","display_name":"Autonomous Vehicle Technology and Safety","score":9.999999747378752e-05,"subfield":{"id":"https://openalex.org/subfields/2203","display_name":"Automotive Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/video-object-tracking","display_name":"video object tracking","score":0.9240000247955322},{"id":"https://openalex.org/keywords/e-learning","display_name":"online learning","score":0.9399999976158142},{"id":"https://openalex.org/keywords/manifolds","display_name":"manifolds","score":0.8550000190734863},{"id":"https://openalex.org/keywords/particle-filtering","display_name":"particle filter","score":0.984000027179718},{"id":"https://openalex.org/keywords/bounding-box-tracking","display_name":"bounding box tracking","score":0.8519999980926514},{"id":"https://openalex.org/keywords/visual-similarity","display_name":"visual similarity","score":0.9409999847412109}],"concepts":[{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7284058332443237},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.700957179069519},{"id":"https://openalex.org/C202474056","wikidata":"https://www.wikidata.org/wiki/Q1931635","display_name":"Video tracking","level":3,"score":0.6872264742851257},{"id":"https://openalex.org/C147037132","wikidata":"https://www.wikidata.org/wiki/Q6865426","display_name":"Minimum bounding box","level":3,"score":0.6716184020042419},{"id":"https://openalex.org/C52421305","wikidata":"https://www.wikidata.org/wiki/Q1151499","display_name":"Particle filter","level":3,"score":0.6629484295845032},{"id":"https://openalex.org/C2775936607","wikidata":"https://www.wikidata.org/wiki/Q466845","display_name":"Tracking (education)","level":2,"score":0.5434466004371643},{"id":"https://openalex.org/C83248878","wikidata":"https://www.wikidata.org/wiki/Q344000","display_name":"Active appearance model","level":3,"score":0.5010159015655518},{"id":"https://openalex.org/C48548287","wikidata":"https://www.wikidata.org/wiki/Q6803557","display_name":"Mean-shift","level":3,"score":0.4986116886138916},{"id":"https://openalex.org/C63479239","wikidata":"https://www.wikidata.org/wiki/Q7353546","display_name":"Robustness (evolution)","level":3,"score":0.49622851610183716},{"id":"https://openalex.org/C56461940","wikidata":"https://www.wikidata.org/wiki/Q970687","display_name":"Eye tracking","level":2,"score":0.4935661554336548},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.48048630356788635},{"id":"https://openalex.org/C83665646","wikidata":"https://www.wikidata.org/wiki/Q42139305","display_name":"Feature vector","level":2,"score":0.4431372284889221},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.4271708130836487},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.4139825999736786},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3756044805049896},{"id":"https://openalex.org/C157286648","wikidata":"https://www.wikidata.org/wiki/Q846780","display_name":"Kalman filter","level":2,"score":0.31834980845451355},{"id":"https://openalex.org/C2781238097","wikidata":"https://www.wikidata.org/wiki/Q175026","display_name":"Object (grammar)","level":2,"score":0.2969790995121002},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","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/C104317684","wikidata":"https://www.wikidata.org/wiki/Q7187","display_name":"Gene","level":2,"score":0.0},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","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/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.0}],"mesh":[],"locations_count":3,"locations":[{"id":"pmh:oai:publications.lib.chalmers.se:154508","doi":null,"is_oa":true,"landing_page_url":"http://publications.lib.chalmers.se/publication/154508-stochastic-modeling-for-video-object-tracking-and-online-learning-manifolds-and-particle-filters","pdf_url":"http://publications.lib.chalmers.se/records/fulltext/154508.pdf","source":{"id":"https://openalex.org/S4377196470","display_name":"Chalmers Publication Library (Chalmers University of Technology)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":"https://openalex.org/I66862912","host_organization_name":"Chalmers University of Technology","host_organization_lineage":["https://openalex.org/I66862912"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"Text.Thesis.Doctoral"},{"id":"pmh:oai:research.chalmers.se:154508","doi":null,"is_oa":false,"landing_page_url":"https://research.chalmers.se/en/publication/154508","pdf_url":null,"source":{"id":"https://openalex.org/S4306402469","display_name":"Chalmers Research (Chalmers University of Technology)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":"https://openalex.org/I66862912","host_organization_name":"Chalmers University of Technology","host_organization_lineage":["https://openalex.org/I66862912"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":null},{"id":"mag:268522123","doi":null,"is_oa":false,"landing_page_url":"https://publications.lib.chalmers.se/records/fulltext/154508.pdf","pdf_url":null,"source":null,"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":null}],"best_oa_location":{"id":"pmh:oai:publications.lib.chalmers.se:154508","doi":null,"is_oa":true,"landing_page_url":"http://publications.lib.chalmers.se/publication/154508-stochastic-modeling-for-video-object-tracking-and-online-learning-manifolds-and-particle-filters","pdf_url":"http://publications.lib.chalmers.se/records/fulltext/154508.pdf","source":{"id":"https://openalex.org/S4377196470","display_name":"Chalmers Publication Library (Chalmers University of Technology)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":"https://openalex.org/I66862912","host_organization_name":"Chalmers University of Technology","host_organization_lineage":["https://openalex.org/I66862912"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"Text.Thesis.Doctoral"},"sustainable_development_goals":[],"study_designs":[],"awards":[],"funders":[],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W268522123.pdf","grobid_xml":"https://content.openalex.org/works/W268522123.grobid-xml"},"referenced_works_count":23,"referenced_works":["https://openalex.org/W1677409904","https://openalex.org/W1964443764","https://openalex.org/W1992825118","https://openalex.org/W2088029368","https://openalex.org/W2096309046","https://openalex.org/W2103243027","https://openalex.org/W2111308925","https://openalex.org/W2111918405","https://openalex.org/W2114701396","https://openalex.org/W2115213191","https://openalex.org/W2115763357","https://openalex.org/W2118877769","https://openalex.org/W2121947440","https://openalex.org/W2130103520","https://openalex.org/W2132103241","https://openalex.org/W2138524633","https://openalex.org/W2139938665","https://openalex.org/W2146289373","https://openalex.org/W2146688665","https://openalex.org/W2151103935","https://openalex.org/W2217896605","https://openalex.org/W2585165747","https://openalex.org/W2753461371"],"related_works":["https://openalex.org/W2801435325","https://openalex.org/W2117582570","https://openalex.org/W2376793888","https://openalex.org/W1893261966","https://openalex.org/W2041143009","https://openalex.org/W2077491759","https://openalex.org/W83694921","https://openalex.org/W4299881120","https://openalex.org/W2115458153","https://openalex.org/W7024140934"],"abstract_inverted_index":{"Classical":[0],"visual":[1,26,39,366],"object":[2,40,107,146,226,279,322],"tracking":[3,27,41,80,161,192,236,240,247,309,342,419],"techniques":[4],"provide":[5],"effective":[6,363],"methods":[7,45,59],"when":[8],"parameters":[9],"of":[10,81,105,115,122,128,170,188,205,256,263,274,296,316,415],"the":[11,82,113,155,175,186,224,294,341,358,372,378,398,428],"underlying":[12],"process":[13],"lie":[14],"in":[15,25,174,335,350,377,384,406],"a":[16,92,119,200,285,391],"vector":[17,50,55],"space.":[18],"However,":[19],"various":[20],"parameter":[21,47],"spaces":[22,48],"commonly":[23],"occurring":[24],"violate":[28],"this":[29],"assumption.":[30],"This":[31,289,361],"thesis":[32],"is":[33,89,211,229,269,291,311,333,362,375,394,404,412,424,432],"an":[34,150,194,336,413],"attempt":[35],"to":[36,245,278,320,339,396],"investigate":[37],"robust":[38],"and":[42,75,97,125,133,145,149,164,177,221,248,259,300,306,330,353,367,417],"online":[43,249,266,331],"learning":[44,103,250,268,332],"for":[46,62,72,79,91,154,185,345,357,364],"having":[49],"or":[51],"manifold":[52,246,326,430],"structures.":[53],"For":[54,388],"spaces,":[56],"two":[57,167,297],"different":[58,351],"are":[60,183,355],"proposed":[61,232,429],"video":[63,369],"tracking.":[64,157],"The":[65,85,109,136,158,190,209,242,265,308,401],"first":[66],"builds":[67],"upon":[68],"anisotropic":[69,86,196],"mean-shift":[70],"tracker":[71,220,233],"appearance":[73,147,267,327,402],"similarity":[74,148],"SIR":[76],"particle":[77],"filter":[78],"bounding":[83,95,207,323,386],"box.":[84,208,387],"mean":[87,197],"shift":[88,198],"derived":[90],"partitioned":[93,385],"rectangular":[94],"box":[96],"several":[98],"partition":[99],"prototypes":[100],"with":[101,199,238,325,436],"adaptive":[102],"strategy":[104],"reference":[106,225],"distributions.":[108],"joint":[110,141],"scheme":[111],"maintains":[112,166],"merits":[114],"both":[116,365],"methods,":[117],"using":[118],"small":[120],"number":[121],"particles":[123],"(<20)":[124],"stabilizes":[126],"trajectories":[127],"target":[129],"during":[130],"partial":[131,399],"occlusions":[132],"background":[134,181,421],"clutter.":[135],"second":[137],"object-tracking":[138],"algorithm":[139],"uses":[140,193],"point":[142,159,171,219],"feature":[143,172,218],"correspondences":[144,173],"optimal":[151],"selection":[152],"criterion":[153],"final":[156],"feature-based":[160],"simultaneously":[162],"exploits":[163],"dynamically":[165,222],"separate":[168],"sets":[169],"foreground":[176],"surrounding":[178],"background,":[179],"where":[180],"features":[182,349,383],"used":[184],"indication":[187,414],"occlusions.":[189],"appearance-based":[191],"enhanced":[195],"fully":[201],"tunable":[202],"(5":[203],"degrees":[204],"freedom)":[206],"enhancement":[210],"achieved":[212],"by":[213,284,381,434],"partially":[214],"guiding":[215],"it":[216],"from":[217],"updating":[223],"models.":[227],"It":[228,423],"shown":[230,426],"that":[231,427],"has":[234],"more":[235],"robustness":[237],"reduced":[239],"drift.":[241,343],"contribution":[243],"related":[244],"focuses":[251],"on":[252,271,281,313],"symmetric":[253,346],"manifolds":[254,261,283],"(set":[255,262],"covariance":[257,359,379],"matrices)":[258],"Grassmann":[260,389],"subspaces).":[264],"based":[270,312],"Bayesian":[272,314],"estimation":[273,315],"state":[275,317],"variables":[276,318],"(related":[277,319],"appearances)":[280],"these":[282],"dual":[286],"dynamic":[287],"model.":[288],"model":[290],"realized":[292],"through":[293],"help":[295],"mapping":[298],"(exponential":[299],"logarithmic)":[301],"functions":[302],"between":[303],"tangent":[304],"planes":[305],"manifolds.":[307],"part":[310],"affine":[321],"box)":[324],"embedded.":[328],"Tracking":[329],"performed":[334],"alternative":[337],"fashion":[338],"mitigate":[340],"Moreover,":[344],"manifolds,":[347,390],"Gabor":[348],"frequencies":[352],"orientations":[354],"introduced":[356,395],"descriptor.":[360],"infrared":[368],"objects.":[370],"Further,":[371],"spatial":[373],"information":[374],"incorporated":[376],"descriptor":[380],"extracting":[382],"novel":[392],"method":[393],"detect":[397],"occlusion.":[400],"subspace":[403],"updated":[405],"each":[407],"time":[408],"interval":[409],"if":[410],"there":[411],"stable":[416],"reliable":[418],"without":[420],"interferences.":[422],"further":[425],"framework":[431],"better":[433],"comparisons":[435],"existing":[437],"trackers.":[438]},"counts_by_year":[],"updated_date":"2026-11-11T12:16:26.678958","created_date":"2016-06-24T00:00:00"}
