{"id":"https://openalex.org/W2023986434","doi":"https://doi.org/10.1109/icdsc.2007.4357522","title":"Distributed EM Learning for Appearance Based Multi-Camera Tracking","display_name":"Distributed EM Learning for Appearance Based Multi-Camera Tracking","publication_year":2007,"publication_date":"2007-09-01","ids":{"openalex":"https://openalex.org/W2023986434","doi":"https://doi.org/10.1109/icdsc.2007.4357522","mag":"2023986434"},"language":"en","primary_location":{"is_oa":false,"landing_page_url":"https://doi.org/10.1109/icdsc.2007.4357522","pdf_url":null,"source":null,"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":false},"type":"article","type_crossref":"proceedings-article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://inria.hal.science/inria-00548678/document","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5056112540","display_name":"Thomas Mensink","orcid":"https://orcid.org/0000-0002-5730-713X"},"institutions":[{"id":"https://openalex.org/I887064364","display_name":"University of Amsterdam","ror":"https://ror.org/04dkp9463","country_code":"NL","type":"education","lineage":["https://openalex.org/I887064364"]}],"countries":["NL"],"is_corresponding":false,"raw_author_name":"Thomas Mensink","raw_affiliation_strings":["Amsterdam Univ., Amsterdam#TAB#"],"affiliations":[{"raw_affiliation_string":"Amsterdam Univ., Amsterdam#TAB#","institution_ids":["https://openalex.org/I887064364"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5029215855","display_name":"W. Zajdel","orcid":null},"institutions":[{"id":"https://openalex.org/I887064364","display_name":"University of Amsterdam","ror":"https://ror.org/04dkp9463","country_code":"NL","type":"education","lineage":["https://openalex.org/I887064364"]}],"countries":["NL"],"is_corresponding":false,"raw_author_name":"Wojciech Zajdel","raw_affiliation_strings":["Amsterdam Univ., Amsterdam#TAB#"],"affiliations":[{"raw_affiliation_string":"Amsterdam Univ., Amsterdam#TAB#","institution_ids":["https://openalex.org/I887064364"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5049349937","display_name":"Ben Kr\u00f6se","orcid":"https://orcid.org/0000-0003-1237-0618"},"institutions":[{"id":"https://openalex.org/I887064364","display_name":"University of Amsterdam","ror":"https://ror.org/04dkp9463","country_code":"NL","type":"education","lineage":["https://openalex.org/I887064364"]}],"countries":["NL"],"is_corresponding":false,"raw_author_name":"Ben Krose","raw_affiliation_strings":["Amsterdam Univ., Amsterdam#TAB#"],"affiliations":[{"raw_affiliation_string":"Amsterdam Univ., Amsterdam#TAB#","institution_ids":["https://openalex.org/I887064364"]}]}],"institution_assertions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.942,"has_fulltext":true,"fulltext_origin":"pdf","cited_by_count":17,"citation_normalized_percentile":{"value":0.858616,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":86,"max":87},"biblio":{"volume":null,"issue":null,"first_page":"178","last_page":"185"},"is_retracted":false,"is_paratext":false,"primary_topic":{"id":"https://openalex.org/T12814","display_name":"Gaussian Processes and Bayesian Inference","score":0.9937,"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"}},"topics":[{"id":"https://openalex.org/T12814","display_name":"Gaussian Processes and Bayesian Inference","score":0.9937,"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/T10711","display_name":"Target Tracking and Data Fusion in Sensor Networks","score":0.9853,"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/T11901","display_name":"Bayesian Methods and Mixture Models","score":0.9815,"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/tracking","display_name":"Tracking (education)","score":0.64410245},{"id":"https://openalex.org/keywords/identification","display_name":"Identification","score":0.5240422}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7532648},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.71511203},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.6759708},{"id":"https://openalex.org/C61224824","wikidata":"https://www.wikidata.org/wiki/Q2260434","display_name":"Mixture model","level":2,"score":0.67015773},{"id":"https://openalex.org/C2775936607","wikidata":"https://www.wikidata.org/wiki/Q466845","display_name":"Tracking (education)","level":2,"score":0.64410245},{"id":"https://openalex.org/C163716315","wikidata":"https://www.wikidata.org/wiki/Q901177","display_name":"Gaussian","level":2,"score":0.5256161},{"id":"https://openalex.org/C116834253","wikidata":"https://www.wikidata.org/wiki/Q2039217","display_name":"Identification (biology)","level":2,"score":0.5240422},{"id":"https://openalex.org/C9652623","wikidata":"https://www.wikidata.org/wiki/Q190109","display_name":"Field (mathematics)","level":2,"score":0.44583794},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.0693751},{"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/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C59822182","wikidata":"https://www.wikidata.org/wiki/Q441","display_name":"Botany","level":1,"score":0.0},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0},{"id":"https://openalex.org/C202444582","wikidata":"https://www.wikidata.org/wiki/Q837863","display_name":"Pure mathematics","level":1,"score":0.0},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0}],"mesh":[],"locations_count":3,"locations":[{"is_oa":false,"landing_page_url":"https://doi.org/10.1109/icdsc.2007.4357522","pdf_url":null,"source":null,"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":false},{"is_oa":true,"landing_page_url":"https://inria.hal.science/inria-00548678","pdf_url":"https://inria.hal.science/inria-00548678/document","source":null,"license":"other-oa","license_id":"https://openalex.org/licenses/other-oa","version":"submittedVersion","is_accepted":false,"is_published":false},{"is_oa":true,"landing_page_url":"http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.167.619","pdf_url":"http://lear.inrialpes.fr/pubs/2007/MZK07/MZK07.pdf","source":{"id":"https://openalex.org/S4306400349","display_name":"CiteSeer X (The Pennsylvania State University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I130769515","host_organization_name":"Pennsylvania State University","host_organization_lineage":["https://openalex.org/I130769515"],"host_organization_lineage_names":["Pennsylvania State University"],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false}],"best_oa_location":{"is_oa":true,"landing_page_url":"https://inria.hal.science/inria-00548678","pdf_url":"https://inria.hal.science/inria-00548678/document","source":null,"license":"other-oa","license_id":"https://openalex.org/licenses/other-oa","version":"submittedVersion","is_accepted":false,"is_published":false},"sustainable_development_goals":[],"grants":[],"datasets":[],"versions":[],"referenced_works_count":16,"referenced_works":["https://openalex.org/W1663973292","https://openalex.org/W1927718668","https://openalex.org/W1956647075","https://openalex.org/W1962918349","https://openalex.org/W1963820332","https://openalex.org/W2049633694","https://openalex.org/W2076942085","https://openalex.org/W2110100895","https://openalex.org/W2129417247","https://openalex.org/W2140136927","https://openalex.org/W2145800860","https://openalex.org/W2158307424","https://openalex.org/W2293282355","https://openalex.org/W2615688110","https://openalex.org/W4212863985","https://openalex.org/W4285719527"],"related_works":["https://openalex.org/W3130349901","https://openalex.org/W2990323019","https://openalex.org/W2107361128","https://openalex.org/W2095350775","https://openalex.org/W2084086966","https://openalex.org/W2014494654","https://openalex.org/W1975321310","https://openalex.org/W1952261593","https://openalex.org/W1579833936","https://openalex.org/W1578916557"],"abstract_inverted_index":{"Visual":[0],"surveillance":[1],"in":[2,55,132],"wide":[3],"areas":[4],"(e.g.":[5],"airports)":[6],"relies":[7],"on":[8,115,120],"cameras":[9,131],"that":[10,42],"observe":[11],"non-overlapping":[12],"scenes.":[13],"Multi-person":[14],"tracking":[15],"requires":[16],"re-identification":[17],"of":[18,26,45,59,62,104,123,130],"a":[19,46,60,69,121,128],"person":[20,48],"when":[21],"he/she":[22],"leaves":[23],"one":[24],"field":[25],"view,":[27],"and":[28,85,119],"later":[29],"appears":[30],"at":[31],"another.":[32],"For":[33],"this,":[34,98],"we":[35,67],"use":[36],"appearance":[37],"cues.":[38],"Under":[39],"the":[40,52,92,105],"assumption":[41],"all":[43],"observations":[44,84,125],"single":[47],"are":[49],"Gaussian":[50],"distributed,":[51],"observation":[53],"model":[54],"our":[56],"approach":[57,71],"consists":[58],"Mixture":[61],"Gaussians.":[63],"In":[64],"this":[65,74],"paper":[66],"propose":[68],"distributed":[70],"for":[72,97],"learning":[73],"MoG,":[75],"where":[76],"every":[77],"camera":[78],"learns":[79],"from":[80],"both":[81],"its":[82],"own":[83],"communication":[86],"with":[87],"other":[88],"cameras.":[89],"We":[90],"present":[91],"multi-observations":[93],"newscast":[94,108],"EM":[95],"algorithm":[96,112],"which":[99],"is":[100,113],"an":[101,133],"adjusted":[102],"version":[103],"recently":[106],"developed":[107],"EM.":[109],"The":[110],"presented":[111],"tested":[114],"artificial":[116],"generated":[117],"data":[118],"collection":[122],"real-world":[124],"gathered":[126],"by":[127],"system":[129],"office":[134],"building.":[135]},"cited_by_api_url":"https://api.openalex.org/works?filter=cites:W2023986434","counts_by_year":[{"year":2022,"cited_by_count":1},{"year":2019,"cited_by_count":1},{"year":2018,"cited_by_count":2},{"year":2017,"cited_by_count":2},{"year":2014,"cited_by_count":1},{"year":2013,"cited_by_count":2},{"year":2012,"cited_by_count":1}],"updated_date":"2025-01-13T21:27:34.218430","created_date":"2016-06-24"}