{"id":"https://openalex.org/W2095534052","doi":"https://doi.org/10.1155/2011/839412","title":"Integrating the Projective Transform with Particle Filtering for Visual Tracking","display_name":"Integrating the Projective Transform with Particle Filtering for Visual Tracking","publication_year":2010,"publication_date":"2010-12-14","ids":{"openalex":"https://openalex.org/W2095534052","doi":"https://doi.org/10.1155/2011/839412","mag":"2095534052"},"language":"en","primary_location":{"id":"doi:10.1155/2011/839412","is_oa":true,"landing_page_url":"https://doi.org/10.1155/2011/839412","pdf_url":null,"source":{"id":"https://openalex.org/S153767265","display_name":"EURASIP Journal on Image and Video Processing","issn_l":"1687-5176","issn":["1687-5176","1687-5281"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319965","host_organization_name":"Springer Nature","host_organization_lineage":["https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Nature"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"EURASIP Journal on Image and Video Processing","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://doi.org/10.1155/2011/839412","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5008092547","display_name":"P. L. M. Bouttefroy","orcid":null},"institutions":[{"id":"https://openalex.org/I204824540","display_name":"University of Wollongong","ror":"https://ror.org/00jtmb277","country_code":"AU","type":"education","lineage":["https://openalex.org/I204824540"]}],"countries":["AU"],"is_corresponding":false,"raw_author_name":"P. L. M. Bouttefroy","raw_affiliation_strings":["School of Electrical, Computer & Telecom. Engineering, University of Wollongong, Wollongong, NSW, Australia"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Electrical, Computer & Telecom. Engineering, University of Wollongong, Wollongong, NSW, Australia","institution_ids":["https://openalex.org/I204824540"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5072662577","display_name":"Abdesselam Bouzerdoum","orcid":"https://orcid.org/0000-0002-9163-0045"},"institutions":[{"id":"https://openalex.org/I204824540","display_name":"University of Wollongong","ror":"https://ror.org/00jtmb277","country_code":"AU","type":"education","lineage":["https://openalex.org/I204824540"]}],"countries":["AU"],"is_corresponding":false,"raw_author_name":"A. Bouzerdoum","raw_affiliation_strings":["School of Electrical, Computer & Telecom. Engineering, University of Wollongong, Wollongong, NSW, Australia"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Electrical, Computer & Telecom. Engineering, University of Wollongong, Wollongong, NSW, Australia","institution_ids":["https://openalex.org/I204824540"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5050488362","display_name":"Son Lam Phung","orcid":"https://orcid.org/0000-0002-3076-0540"},"institutions":[{"id":"https://openalex.org/I204824540","display_name":"University of Wollongong","ror":"https://ror.org/00jtmb277","country_code":"AU","type":"education","lineage":["https://openalex.org/I204824540"]}],"countries":["AU"],"is_corresponding":false,"raw_author_name":"S. L. Phung","raw_affiliation_strings":["School of Electrical, Computer & Telecom. Engineering, University of Wollongong, Wollongong, NSW, Australia"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Electrical, Computer & Telecom. Engineering, University of Wollongong, Wollongong, NSW, Australia","institution_ids":["https://openalex.org/I204824540"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5010658612","display_name":"Azeddine Beghdadi","orcid":"https://orcid.org/0000-0002-5595-0615"},"institutions":[{"id":"https://openalex.org/I204730241","display_name":"Universit\u00e9 Paris Cit\u00e9","ror":"https://ror.org/05f82e368","country_code":"FR","type":"education","lineage":["https://openalex.org/I204730241"]},{"id":"https://openalex.org/I4210091279","display_name":"Universit\u00e9 Sorbonne Paris Nord","ror":"https://ror.org/0199hds37","country_code":"FR","type":"education","lineage":["https://openalex.org/I4210091279"]}],"countries":["FR"],"is_corresponding":false,"raw_author_name":"A. Beghdadi","raw_affiliation_strings":["L2TI - Institut Galil\u00e9e - Universit\u00e9 Paris 13, Villetaneuse, France"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"L2TI - Institut Galil\u00e9e - Universit\u00e9 Paris 13, Villetaneuse, France","institution_ids":["https://openalex.org/I204730241","https://openalex.org/I4210091279"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":{"value":1665,"currency":"USD","value_usd":1665},"apc_paid":{"value":1665,"currency":"USD","value_usd":1665},"fwci":0.3235,"has_fulltext":false,"cited_by_count":7,"citation_normalized_percentile":{"value":0.67874706,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":96},"biblio":{"volume":"2011","issue":null,"first_page":"1","last_page":"11"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10331","display_name":"Video Surveillance and Tracking Methods","score":0.9997000098228455,"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":0.9997000098228455,"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":0.9994999766349792,"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/T11512","display_name":"Anomaly Detection Techniques and Applications","score":0.9908999800682068,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.666863203048706},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.6323176026344299},{"id":"https://openalex.org/keywords/tracking","display_name":"Tracking (education)","score":0.5786002278327942},{"id":"https://openalex.org/keywords/particle-filter","display_name":"Particle filter","score":0.5703161358833313},{"id":"https://openalex.org/keywords/projective-test","display_name":"Projective test","score":0.5422466993331909},{"id":"https://openalex.org/keywords/biometrics","display_name":"Biometrics","score":0.5361727476119995},{"id":"https://openalex.org/keywords/eye-tracking","display_name":"Eye tracking","score":0.525951623916626},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5070803165435791},{"id":"https://openalex.org/keywords/projective-identification","display_name":"Projective identification","score":0.4237230122089386},{"id":"https://openalex.org/keywords/particle","display_name":"Particle (ecology)","score":0.4220481514930725},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.38102611899375916},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.33392179012298584},{"id":"https://openalex.org/keywords/psychology","display_name":"Psychology","score":0.2509669065475464},{"id":"https://openalex.org/keywords/kalman-filter","display_name":"Kalman filter","score":0.24376776814460754},{"id":"https://openalex.org/keywords/pure-mathematics","display_name":"Pure mathematics","score":0.13727539777755737},{"id":"https://openalex.org/keywords/geology","display_name":"Geology","score":0.09983876347541809}],"concepts":[{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.666863203048706},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.6323176026344299},{"id":"https://openalex.org/C2775936607","wikidata":"https://www.wikidata.org/wiki/Q466845","display_name":"Tracking (education)","level":2,"score":0.5786002278327942},{"id":"https://openalex.org/C52421305","wikidata":"https://www.wikidata.org/wiki/Q1151499","display_name":"Particle filter","level":3,"score":0.5703161358833313},{"id":"https://openalex.org/C177846678","wikidata":"https://www.wikidata.org/wiki/Q1501864","display_name":"Projective test","level":2,"score":0.5422466993331909},{"id":"https://openalex.org/C184297639","wikidata":"https://www.wikidata.org/wiki/Q177765","display_name":"Biometrics","level":2,"score":0.5361727476119995},{"id":"https://openalex.org/C56461940","wikidata":"https://www.wikidata.org/wiki/Q970687","display_name":"Eye tracking","level":2,"score":0.525951623916626},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5070803165435791},{"id":"https://openalex.org/C38832240","wikidata":"https://www.wikidata.org/wiki/Q1542143","display_name":"Projective identification","level":3,"score":0.4237230122089386},{"id":"https://openalex.org/C2778517922","wikidata":"https://www.wikidata.org/wiki/Q7140482","display_name":"Particle (ecology)","level":2,"score":0.4220481514930725},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.38102611899375916},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.33392179012298584},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.2509669065475464},{"id":"https://openalex.org/C157286648","wikidata":"https://www.wikidata.org/wiki/Q846780","display_name":"Kalman filter","level":2,"score":0.24376776814460754},{"id":"https://openalex.org/C202444582","wikidata":"https://www.wikidata.org/wiki/Q837863","display_name":"Pure mathematics","level":1,"score":0.13727539777755737},{"id":"https://openalex.org/C127313418","wikidata":"https://www.wikidata.org/wiki/Q1069","display_name":"Geology","level":0,"score":0.09983876347541809},{"id":"https://openalex.org/C111368507","wikidata":"https://www.wikidata.org/wiki/Q43518","display_name":"Oceanography","level":1,"score":0.0},{"id":"https://openalex.org/C43450049","wikidata":"https://www.wikidata.org/wiki/Q7256338","display_name":"Psychoanalytic theory","level":2,"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/C542102704","wikidata":"https://www.wikidata.org/wiki/Q183257","display_name":"Psychotherapist","level":1,"score":0.0}],"mesh":[],"locations_count":5,"locations":[{"id":"doi:10.1155/2011/839412","is_oa":true,"landing_page_url":"https://doi.org/10.1155/2011/839412","pdf_url":null,"source":{"id":"https://openalex.org/S153767265","display_name":"EURASIP Journal on Image and Video Processing","issn_l":"1687-5176","issn":["1687-5176","1687-5281"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319965","host_organization_name":"Springer Nature","host_organization_lineage":["https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Nature"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"EURASIP Journal on Image and Video Processing","raw_type":"journal-article"},{"id":"pmh:oai:ro.uow.edu.au:infopapers-10884","is_oa":false,"landing_page_url":"https://ro.uow.edu.au/infopapers/3548","pdf_url":null,"source":{"id":"https://openalex.org/S4306400510","display_name":"Research Online (University of Wollongong)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I204824540","host_organization_name":"University of Wollongong","host_organization_lineage":["https://openalex.org/I204824540"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Faculty of Informatics - Papers (Archive)","raw_type":"article"},{"id":"pmh:oai:doaj.org/article:15263cbdc41940caa9d8929439ff7883","is_oa":true,"landing_page_url":"https://doaj.org/article/15263cbdc41940caa9d8929439ff7883","pdf_url":null,"source":{"id":"https://openalex.org/S4306401280","display_name":"DOAJ (DOAJ: Directory of Open Access Journals)","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":"cc-by-sa","license_id":"https://openalex.org/licenses/cc-by-sa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"EURASIP Journal on Image and Video Processing, Vol 2011, Iss 1, p 839412 (2011)","raw_type":"article"},{"id":"pmh:oai:doaj.org/article:40131b48fc844269baeccf54fa9095dd","is_oa":false,"landing_page_url":"https://doaj.org/article/40131b48fc844269baeccf54fa9095dd","pdf_url":null,"source":{"id":"https://openalex.org/S4306401280","display_name":"DOAJ (DOAJ: Directory of Open Access Journals)","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":"EURASIP Journal on Image and Video Processing, Vol 2011 (2011)","raw_type":"article"},{"id":"pmh:oai:figshare.com:article/27763830","is_oa":true,"landing_page_url":"https://figshare.com/articles/journal_contribution/Integrating_the_projective_transform_with_particle_filtering_for_visual_tracking/27763830","pdf_url":null,"source":{"id":"https://openalex.org/S4377196282","display_name":"Figshare","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I4210132348","host_organization_name":"Figshare (United Kingdom)","host_organization_lineage":["https://openalex.org/I4210132348"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"Text"}],"best_oa_location":{"id":"doi:10.1155/2011/839412","is_oa":true,"landing_page_url":"https://doi.org/10.1155/2011/839412","pdf_url":null,"source":{"id":"https://openalex.org/S153767265","display_name":"EURASIP Journal on Image and Video Processing","issn_l":"1687-5176","issn":["1687-5176","1687-5281"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319965","host_organization_name":"Springer Nature","host_organization_lineage":["https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Nature"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"EURASIP Journal on Image and Video Processing","raw_type":"journal-article"},"sustainable_development_goals":[{"score":0.7300000190734863,"id":"https://metadata.un.org/sdg/11","display_name":"Sustainable cities and communities"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":41,"referenced_works":["https://openalex.org/W1505093776","https://openalex.org/W1572755383","https://openalex.org/W1582224092","https://openalex.org/W1672056451","https://openalex.org/W1970319972","https://openalex.org/W1973261441","https://openalex.org/W2024084780","https://openalex.org/W2057487175","https://openalex.org/W2077611006","https://openalex.org/W2091377065","https://openalex.org/W2103784575","https://openalex.org/W2107777165","https://openalex.org/W2109717317","https://openalex.org/W2114576428","https://openalex.org/W2114879609","https://openalex.org/W2118741216","https://openalex.org/W2119539043","https://openalex.org/W2120357080","https://openalex.org/W2122675580","https://openalex.org/W2124156864","https://openalex.org/W2124919848","https://openalex.org/W2128568948","https://openalex.org/W2128838248","https://openalex.org/W2132103241","https://openalex.org/W2132115790","https://openalex.org/W2132762529","https://openalex.org/W2143662190","https://openalex.org/W2145247614","https://openalex.org/W2149811571","https://openalex.org/W2156735859","https://openalex.org/W2160337655","https://openalex.org/W2161406034","https://openalex.org/W2161977181","https://openalex.org/W2162830992","https://openalex.org/W2163812146","https://openalex.org/W2164784236","https://openalex.org/W2164873681","https://openalex.org/W2533888311","https://openalex.org/W2540523592","https://openalex.org/W2986027862","https://openalex.org/W4285719527"],"related_works":["https://openalex.org/W1991137087","https://openalex.org/W1533041683","https://openalex.org/W2405246701","https://openalex.org/W2088650504","https://openalex.org/W2001367668","https://openalex.org/W2020220298","https://openalex.org/W2007373430","https://openalex.org/W4246143963","https://openalex.org/W2599133257","https://openalex.org/W3166996307"],"abstract_inverted_index":{"<p/>":[0],"This":[1,89],"paper":[2],"presents":[3],"the":[4,13,18,24,36,42,50,59,70,74,77,80,84,94,101,112,115,118,123,132,143,147,150,154,159,164,171,175,180,186],"projective":[5,14,37,60,119,187],"particle":[6,43,120,125,177,188],"filter,":[7,189],"a":[8,108,139],"Bayesian":[9],"filtering":[10,44],"technique":[11],"integrating":[12],"transform,":[15,38],"which":[16],"describes":[17],"distortion":[19],"of":[20,72,76,87,111,142,149],"vehicle":[21],"trajectories":[22],"on":[23,127],"camera":[25],"plane.":[26],"The":[27],"characteristics":[28],"inherent":[29],"to":[30,48,83,99,138,170],"traffic":[31],"monitoring,":[32],"and":[33,53,79,163],"in":[34,41,46,93,114],"particular":[35],"are":[39],"integrated":[40,92],"framework":[45],"order":[47],"improve":[49],"tracking":[51,129,181],"robustness":[52],"accuracy.":[54],"It":[55],"is":[56,91,135,167,183],"shown":[57],"that":[58],"transform":[61],"can":[62],"be":[63],"fully":[64],"described":[65],"by":[66,174],"three":[67],"parameters,":[68],"namely,":[69],"angle":[71],"view,":[73],"height":[75],"camera,":[78],"ground":[81],"distance":[82],"first":[85],"point":[86],"capture.":[88],"information":[90],"importance":[95,144],"density":[96,145],"so":[97],"as":[98],"explore":[100],"feature":[102,116,160],"space":[103],"more":[104],"accurately.":[105],"By":[106],"providing":[107],"fine":[109],"distribution":[110],"samples":[113],"space,":[117],"filter":[121,126],"outperforms":[122],"standard":[124,176],"different":[128],"measures.":[130],"First,":[131],"resampling":[133],"frequency":[134],"reduced":[136,168],"due":[137],"better":[140],"fit":[141],"for":[146,185],"estimation":[148],"posterior":[151],"density.":[152],"Second,":[153],"mean":[155],"squared":[156],"error":[157],"between":[158],"vector":[161],"estimate":[162,172],"true":[165],"state":[166],"compared":[169],"provided":[173],"filter.":[178],"Third,":[179],"rate":[182],"improved":[184],"hence":[190],"decreasing":[191],"track":[192],"loss.":[193]},"counts_by_year":[{"year":2023,"cited_by_count":1},{"year":2020,"cited_by_count":2},{"year":2018,"cited_by_count":2},{"year":2014,"cited_by_count":1},{"year":2013,"cited_by_count":1}],"updated_date":"2026-08-08T01:25:22.217667","created_date":"2025-10-10T00:00:00"}
