{"id":"https://openalex.org/W1544241818","doi":"https://doi.org/10.1109/icip.2004.1419481","title":"A probabilistic cooperation between trackers of coupled objects","display_name":"A probabilistic cooperation between trackers of coupled objects","publication_year":2005,"publication_date":"2005-04-19","ids":{"openalex":"https://openalex.org/W1544241818","doi":"https://doi.org/10.1109/icip.2004.1419481","mag":"1544241818"},"language":"en","primary_location":{"id":"doi:10.1109/icip.2004.1419481","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icip.2004.1419481","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2004 International Conference on Image Processing, 2004. ICIP '04.","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/A5014102550","display_name":"Ido Leichter","orcid":null},"institutions":[{"id":"https://openalex.org/I174306211","display_name":"Technion \u2013 Israel Institute of Technology","ror":"https://ror.org/03qryx823","country_code":"IL","type":"education","lineage":["https://openalex.org/I174306211"]}],"countries":["IL"],"is_corresponding":true,"raw_author_name":"I. Leichter","raw_affiliation_strings":["Faculty of Computer Science, Technion-Israel Institute of Technology, Haifa, Israel","Fac. of Comput. Sci., Technion-Israel Inst. of Technol., Haifa, Israel"],"affiliations":[{"raw_affiliation_string":"Faculty of Computer Science, Technion-Israel Institute of Technology, Haifa, Israel","institution_ids":["https://openalex.org/I174306211"]},{"raw_affiliation_string":"Fac. of Comput. Sci., Technion-Israel Inst. of Technol., Haifa, Israel","institution_ids":["https://openalex.org/I174306211"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5072392744","display_name":"Michael Lindenbaum","orcid":null},"institutions":[{"id":"https://openalex.org/I174306211","display_name":"Technion \u2013 Israel Institute of Technology","ror":"https://ror.org/03qryx823","country_code":"IL","type":"education","lineage":["https://openalex.org/I174306211"]}],"countries":["IL"],"is_corresponding":false,"raw_author_name":"M. Lindenbaum","raw_affiliation_strings":["Faculty of Computer Science, Technion-Israel Institute of Technology, Haifa, Israel","Fac. of Comput. Sci., Technion-Israel Inst. of Technol., Haifa, Israel"],"affiliations":[{"raw_affiliation_string":"Faculty of Computer Science, Technion-Israel Institute of Technology, Haifa, Israel","institution_ids":["https://openalex.org/I174306211"]},{"raw_affiliation_string":"Fac. of Comput. Sci., Technion-Israel Inst. of Technol., Haifa, Israel","institution_ids":["https://openalex.org/I174306211"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5107370412","display_name":"E. RivIin","orcid":null},"institutions":[{"id":"https://openalex.org/I174306211","display_name":"Technion \u2013 Israel Institute of Technology","ror":"https://ror.org/03qryx823","country_code":"IL","type":"education","lineage":["https://openalex.org/I174306211"]}],"countries":["IL"],"is_corresponding":false,"raw_author_name":"E. RivIin","raw_affiliation_strings":["Fac. of Comput. Sci., Technion-Israel Inst. of Technol., Haifa, Israel"],"affiliations":[{"raw_affiliation_string":"Fac. of Comput. Sci., Technion-Israel Inst. of Technol., Haifa, Israel","institution_ids":["https://openalex.org/I174306211"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5014102550"],"corresponding_institution_ids":["https://openalex.org/I174306211"],"apc_list":null,"apc_paid":null,"fwci":0.2931,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.56283255,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"2","issue":null,"first_page":"1045","last_page":"1048"},"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":0.9879999756813049,"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":0.9567000269889832,"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/bittorrent-tracker","display_name":"BitTorrent tracker","score":0.9324368834495544},{"id":"https://openalex.org/keywords/probabilistic-logic","display_name":"Probabilistic logic","score":0.7552270889282227},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7318438291549683},{"id":"https://openalex.org/keywords/tracking","display_name":"Tracking (education)","score":0.730269193649292},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.6622670292854309},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6367347836494446},{"id":"https://openalex.org/keywords/object","display_name":"Object (grammar)","score":0.612346351146698},{"id":"https://openalex.org/keywords/coupling","display_name":"Coupling (piping)","score":0.5794447660446167},{"id":"https://openalex.org/keywords/video-tracking","display_name":"Video tracking","score":0.5648022890090942},{"id":"https://openalex.org/keywords/state","display_name":"State (computer science)","score":0.5157992839813232},{"id":"https://openalex.org/keywords/probability-density-function","display_name":"Probability density function","score":0.5154793858528137},{"id":"https://openalex.org/keywords/field","display_name":"Field (mathematics)","score":0.5006115436553955},{"id":"https://openalex.org/keywords/eye-tracking","display_name":"Eye tracking","score":0.4608208239078522},{"id":"https://openalex.org/keywords/range","display_name":"Range (aeronautics)","score":0.4489533007144928},{"id":"https://openalex.org/keywords/function","display_name":"Function (biology)","score":0.44620317220687866},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.16445553302764893},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.14255529642105103},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.13840094208717346},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.05290904641151428}],"concepts":[{"id":"https://openalex.org/C57501372","wikidata":"https://www.wikidata.org/wiki/Q2021268","display_name":"BitTorrent tracker","level":3,"score":0.9324368834495544},{"id":"https://openalex.org/C49937458","wikidata":"https://www.wikidata.org/wiki/Q2599292","display_name":"Probabilistic logic","level":2,"score":0.7552270889282227},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7318438291549683},{"id":"https://openalex.org/C2775936607","wikidata":"https://www.wikidata.org/wiki/Q466845","display_name":"Tracking (education)","level":2,"score":0.730269193649292},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.6622670292854309},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6367347836494446},{"id":"https://openalex.org/C2781238097","wikidata":"https://www.wikidata.org/wiki/Q175026","display_name":"Object (grammar)","level":2,"score":0.612346351146698},{"id":"https://openalex.org/C131584629","wikidata":"https://www.wikidata.org/wiki/Q4308705","display_name":"Coupling (piping)","level":2,"score":0.5794447660446167},{"id":"https://openalex.org/C202474056","wikidata":"https://www.wikidata.org/wiki/Q1931635","display_name":"Video tracking","level":3,"score":0.5648022890090942},{"id":"https://openalex.org/C48103436","wikidata":"https://www.wikidata.org/wiki/Q599031","display_name":"State (computer science)","level":2,"score":0.5157992839813232},{"id":"https://openalex.org/C197055811","wikidata":"https://www.wikidata.org/wiki/Q207522","display_name":"Probability density function","level":2,"score":0.5154793858528137},{"id":"https://openalex.org/C9652623","wikidata":"https://www.wikidata.org/wiki/Q190109","display_name":"Field (mathematics)","level":2,"score":0.5006115436553955},{"id":"https://openalex.org/C56461940","wikidata":"https://www.wikidata.org/wiki/Q970687","display_name":"Eye tracking","level":2,"score":0.4608208239078522},{"id":"https://openalex.org/C204323151","wikidata":"https://www.wikidata.org/wiki/Q905424","display_name":"Range (aeronautics)","level":2,"score":0.4489533007144928},{"id":"https://openalex.org/C14036430","wikidata":"https://www.wikidata.org/wiki/Q3736076","display_name":"Function (biology)","level":2,"score":0.44620317220687866},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.16445553302764893},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.14255529642105103},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.13840094208717346},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.05290904641151428},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"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/C202444582","wikidata":"https://www.wikidata.org/wiki/Q837863","display_name":"Pure mathematics","level":1,"score":0.0},{"id":"https://openalex.org/C78458016","wikidata":"https://www.wikidata.org/wiki/Q840400","display_name":"Evolutionary biology","level":1,"score":0.0},{"id":"https://openalex.org/C78519656","wikidata":"https://www.wikidata.org/wiki/Q101333","display_name":"Mechanical engineering","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},{"id":"https://openalex.org/C146978453","wikidata":"https://www.wikidata.org/wiki/Q3798668","display_name":"Aerospace engineering","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icip.2004.1419481","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icip.2004.1419481","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2004 International Conference on Image Processing, 2004. ICIP '04.","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Partnerships for the goals","id":"https://metadata.un.org/sdg/17","score":0.4399999976158142}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":11,"referenced_works":["https://openalex.org/W1552529795","https://openalex.org/W1667165204","https://openalex.org/W1801260371","https://openalex.org/W1963565426","https://openalex.org/W2046245205","https://openalex.org/W2109799729","https://openalex.org/W2132055110","https://openalex.org/W2132950299","https://openalex.org/W2156950770","https://openalex.org/W2161406034","https://openalex.org/W2171080644"],"related_works":["https://openalex.org/W4384788979","https://openalex.org/W2511178891","https://openalex.org/W2126676984","https://openalex.org/W2954509079","https://openalex.org/W178060743","https://openalex.org/W2909390414","https://openalex.org/W3104472694","https://openalex.org/W2141888607","https://openalex.org/W2753886513","https://openalex.org/W1765993298"],"abstract_inverted_index":{"Much":[0],"work":[1],"has":[2],"been":[3],"done":[4],"in":[5,122],"the":[6,37,70,73,78,89,113,118,138,142],"field":[7],"of":[8,16,39,69,112,135],"visual":[9],"object":[10,48],"tracking,":[11],"yielding":[12],"a":[13,30,108],"wide":[14],"range":[15],"trackers,":[17,136],"including":[18],"ones":[19],"aimed":[20],"for":[21,86],"multiple":[22],"objects.":[23],"In":[24,43],"many":[25],"cases,":[26,45],"there":[27],"may":[28],"be":[29,59],"coupling":[31,71,143],"between":[32,72,88,102],"simultaneously":[33],"tracked":[34,74,114,121],"objects,":[35],"e.g.,":[36],"locations":[38],"some":[40],"person's":[41],"eyes.":[42],"such":[44],"tracking":[46,79],"each":[47],"independently,":[49],"or":[50],"using":[51],"any":[52,103],"multitarget":[53],"tracker":[54],"ignoring":[55],"this":[56],"coupling,":[57],"will":[58],"suboptimal.":[60],"This":[61],"paper":[62],"addresses":[63],"these":[64],"cases":[65],"and":[66],"takes":[67],"advantage":[68],"objects":[75,119],"to":[76,100],"enhance":[77],"performance.":[80],"An":[81],"analytically":[82],"justified,":[83],"probabilistic":[84],"framework":[85,95,127],"cooperating":[87],"individual":[90],"trackers":[91,105],"is":[92,96,128],"suggested.":[93],"The":[94,126],"fairly":[97],"general,":[98],"allowing":[99],"cooperate":[101],"two":[104,132],"which":[106],"output":[107],"probability":[109],"density":[110],"function":[111],"state,":[115],"even":[116],"when":[117],"are":[120],"different":[123,133],"state":[124],"spaces.":[125],"successfully":[129],"tested":[130],"on":[131],"kinds":[134],"showing":[137],"benefit":[139],"gained":[140],"from":[141],"exploitation.":[144]},"counts_by_year":[],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
