{"id":"https://openalex.org/W2248830786","doi":"https://doi.org/10.1109/dicta.2015.7371287","title":"Multi-Camera Tracking of Intelligent Targets with Hidden Reciprocal Chains","display_name":"Multi-Camera Tracking of Intelligent Targets with Hidden Reciprocal Chains","publication_year":2015,"publication_date":"2015-11-01","ids":{"openalex":"https://openalex.org/W2248830786","doi":"https://doi.org/10.1109/dicta.2015.7371287","mag":"2248830786"},"language":"en","primary_location":{"id":"doi:10.1109/dicta.2015.7371287","is_oa":false,"landing_page_url":"https://doi.org/10.1109/dicta.2015.7371287","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2015 International Conference on Digital Image Computing: Techniques and Applications (DICTA)","raw_type":"proceedings-article"},"type":"article","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/A5079563165","display_name":"Grigore St\u00e2m\u00e2tescu","orcid":"https://orcid.org/0000-0002-9647-6817"},"institutions":[],"countries":[],"is_corresponding":true,"raw_author_name":"George Stamatescu","raw_affiliation_strings":["School of Electrical and Electronic Engineering The University of Adelaide"],"affiliations":[{"raw_affiliation_string":"School of Electrical and Electronic Engineering The University of Adelaide","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5082520166","display_name":"Anthony Dick","orcid":"https://orcid.org/0000-0001-9049-7345"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Anthony Dick","raw_affiliation_strings":["School of Computer Science The University of Adelaide"],"affiliations":[{"raw_affiliation_string":"School of Computer Science The University of Adelaide","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5103034687","display_name":"L.B. White","orcid":"https://orcid.org/0000-0001-6660-0517"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Langford B. White","raw_affiliation_strings":["School of Electrical and Electronic Engineering The University of Adelaide"],"affiliations":[{"raw_affiliation_string":"School of Electrical and Electronic Engineering The University of Adelaide","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5079563165"],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.1841,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.59999665,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":94},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"8"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10331","display_name":"Video Surveillance and Tracking Methods","score":0.9994999766349792,"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":0.9994999766349792,"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":0.9955000281333923,"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/T11980","display_name":"Human Mobility and Location-Based Analysis","score":0.9696000218391418,"subfield":{"id":"https://openalex.org/subfields/3313","display_name":"Transportation"},"field":{"id":"https://openalex.org/fields/33","display_name":"Social Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.8012666702270508},{"id":"https://openalex.org/keywords/bittorrent-tracker","display_name":"BitTorrent tracker","score":0.7764289379119873},{"id":"https://openalex.org/keywords/inference","display_name":"Inference","score":0.6861776113510132},{"id":"https://openalex.org/keywords/kalman-filter","display_name":"Kalman filter","score":0.5895202159881592},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5806841254234314},{"id":"https://openalex.org/keywords/tracking","display_name":"Tracking (education)","score":0.5059482455253601},{"id":"https://openalex.org/keywords/hidden-markov-model","display_name":"Hidden Markov model","score":0.5033339858055115},{"id":"https://openalex.org/keywords/markov-process","display_name":"Markov process","score":0.485520601272583},{"id":"https://openalex.org/keywords/markov-chain","display_name":"Markov chain","score":0.44882282614707947},{"id":"https://openalex.org/keywords/reciprocal","display_name":"Reciprocal","score":0.4216778874397278},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.40645653009414673},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.3909144699573517},{"id":"https://openalex.org/keywords/eye-tracking","display_name":"Eye tracking","score":0.23236852884292603}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8012666702270508},{"id":"https://openalex.org/C57501372","wikidata":"https://www.wikidata.org/wiki/Q2021268","display_name":"BitTorrent tracker","level":3,"score":0.7764289379119873},{"id":"https://openalex.org/C2776214188","wikidata":"https://www.wikidata.org/wiki/Q408386","display_name":"Inference","level":2,"score":0.6861776113510132},{"id":"https://openalex.org/C157286648","wikidata":"https://www.wikidata.org/wiki/Q846780","display_name":"Kalman filter","level":2,"score":0.5895202159881592},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5806841254234314},{"id":"https://openalex.org/C2775936607","wikidata":"https://www.wikidata.org/wiki/Q466845","display_name":"Tracking (education)","level":2,"score":0.5059482455253601},{"id":"https://openalex.org/C23224414","wikidata":"https://www.wikidata.org/wiki/Q176769","display_name":"Hidden Markov model","level":2,"score":0.5033339858055115},{"id":"https://openalex.org/C159886148","wikidata":"https://www.wikidata.org/wiki/Q176645","display_name":"Markov process","level":2,"score":0.485520601272583},{"id":"https://openalex.org/C98763669","wikidata":"https://www.wikidata.org/wiki/Q176645","display_name":"Markov chain","level":2,"score":0.44882282614707947},{"id":"https://openalex.org/C2777742833","wikidata":"https://www.wikidata.org/wiki/Q1964083","display_name":"Reciprocal","level":2,"score":0.4216778874397278},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.40645653009414673},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.3909144699573517},{"id":"https://openalex.org/C56461940","wikidata":"https://www.wikidata.org/wiki/Q970687","display_name":"Eye tracking","level":2,"score":0.23236852884292603},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"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/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.0},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.0},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0},{"id":"https://openalex.org/C19417346","wikidata":"https://www.wikidata.org/wiki/Q7922","display_name":"Pedagogy","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/dicta.2015.7371287","is_oa":false,"landing_page_url":"https://doi.org/10.1109/dicta.2015.7371287","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2015 International Conference on Digital Image Computing: Techniques and Applications (DICTA)","raw_type":"proceedings-article"},{"id":"pmh:oai:digital.library.adelaide.edu.au:2440/108869","is_oa":false,"landing_page_url":"http://hdl.handle.net/2440/108869","pdf_url":null,"source":{"id":"https://openalex.org/S4306401835","display_name":"Adelaide Research & Scholarship (AR&S) (University of Adelaide)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I5681781","host_organization_name":"The University of Adelaide","host_organization_lineage":["https://openalex.org/I5681781"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"http://dx.doi.org/10.1109/dicta.2015.7371287","raw_type":"Conference paper"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Peace, Justice and strong institutions","id":"https://metadata.un.org/sdg/16","score":0.7599999904632568}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":10,"referenced_works":["https://openalex.org/W1520531117","https://openalex.org/W1967908192","https://openalex.org/W2000612958","https://openalex.org/W2035090260","https://openalex.org/W2058793054","https://openalex.org/W2087284982","https://openalex.org/W2115213191","https://openalex.org/W2118941200","https://openalex.org/W2124607943","https://openalex.org/W4241513305"],"related_works":["https://openalex.org/W2391753177","https://openalex.org/W2996284460","https://openalex.org/W4298337043","https://openalex.org/W1966306316","https://openalex.org/W4285058191","https://openalex.org/W2053269318","https://openalex.org/W2364370872","https://openalex.org/W2052414331","https://openalex.org/W3003660440","https://openalex.org/W2097963413"],"abstract_inverted_index":{"Real":[0],"world":[1,45],"targets":[2],"are":[3,102],"intelligent":[4],"and":[5,40,55,115,126],"almost":[6],"always":[7],"move":[8],"with":[9,121],"a":[10,17,27,43,48,103],"destination":[11],"in":[12,47],"mind.":[13],"This":[14],"paper":[15],"introduces":[16],"new":[18],"target":[19,46],"tracking":[20,145],"algorithm":[21],"for":[22,96,140],"multi-camera":[23],"networks":[24],"based":[25],"on":[26,137],"hidden":[28],"reciprocal":[29],"chain":[30],"(HRC),":[31],"which":[32,64,87,118],"is":[33,53,75],"able":[34],"to":[35,59,106],"capture":[36,89],"the":[37,70,122,131,141],"local":[38],"dynamics":[39],"intention":[41],"of":[42,124,143],"real":[44],"statistical":[49],"way.":[50],"The":[51],"model":[52],"non-causal":[54],"therefore":[56],"fundamentally":[57],"different":[58],"standard":[60],"Markovian":[61,108],"motion":[62],"models":[63,82,109],"underpin":[65],"most":[66],"trackers,":[67],"such":[68],"as":[69],"Kalman":[71],"filter.":[72],"However":[73],"it":[74],"less":[76],"computationally":[77],"expensive":[78],"than":[79],"more":[80],"sophisticated":[81],"like":[83],"Markov":[84],"decision":[85],"processes,":[86],"can":[88],"complex":[90],"behaviours":[91],"but":[92],"require":[93],"approximate":[94],"algorithms":[95,117],"inference.":[97],"We":[98],"argue":[99],"that":[100],"HRCs":[101],"natural":[104],"extension":[105],"existing":[107],"by":[110,134],"presenting":[111,135],"exact":[112],"online":[113],"inference":[114],"detection":[116],"scale":[119],"well":[120],"number":[123],"cameras":[125],"targets.":[127],"Finally":[128],"we":[129],"demonstrate":[130],"potential":[132],"benefits":[133],"results":[136],"synthetic":[138],"data":[139],"problem":[142],"multi-target":[144],"across":[146],"multiple":[147],"cameras.":[148]},"counts_by_year":[{"year":2019,"cited_by_count":1},{"year":2017,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
