{"id":"https://openalex.org/W2069048460","doi":"https://doi.org/10.1117/12.640764","title":"Parallel multiple target tracking using multiple cooperative trackers","display_name":"Parallel multiple target tracking using multiple cooperative trackers","publication_year":2006,"publication_date":"2006-01-15","ids":{"openalex":"https://openalex.org/W2069048460","doi":"https://doi.org/10.1117/12.640764","mag":"2069048460"},"language":"en","primary_location":{"id":"doi:10.1117/12.640764","doi":"https://doi.org/10.1117/12.640764","is_oa":false,"landing_page_url":"https://doi.org/10.1117/12.640764","pdf_url":null,"source":{"id":"https://openalex.org/S183492911","display_name":"Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE","issn_l":"0277-786X","issn":["0277-786X","1996-756X"],"is_oa":false,"is_in_doaj":false,"is_core":true,"listed_in":["cwts-core","norway-1"],"host_organization":"https://openalex.org/P4310315543","host_organization_name":"SPIE","host_organization_lineage":["https://openalex.org/P4310315543"],"host_organization_lineage_names":["SPIE"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"SPIE Proceedings","raw_type":"proceedings-article"},"volume":null,"type":"conference-paper","is_traditional":true,"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/A5101680175","display_name":"Wei Qu","orcid":"https://orcid.org/0009-0005-9566-169X","observed_orcids":["https://orcid.org/0009-0005-9566-169X"]},"institutions":[{"id":"https://openalex.org/I157725225","display_name":"University of Illinois Urbana-Champaign","ror":"https://ror.org/047426m28","country_code":"US","type":"education","lineage":["https://openalex.org/I157725225"]},{"id":"https://openalex.org/I2801919071","display_name":"University of Illinois System","ror":"https://ror.org/05e94g991","country_code":"US","type":"education","lineage":["https://openalex.org/I2801919071"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Wei Qu","raw_affiliation_strings":["Univ. of Illinois (United States)","University of Illinois (United States)"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Univ. of Illinois (United States)","institution_ids":["https://openalex.org/I2801919071"]},{"raw_affiliation_string":"University of Illinois (United States)","institution_ids":["https://openalex.org/I157725225"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5081723612","display_name":"Dan Schonfeld","orcid":"https://orcid.org/0000-0002-2772-4821","observed_orcids":["https://orcid.org/0000-0002-2772-4821","https://orcid.org/0009-0007-5823-0123"]},"institutions":[{"id":"https://openalex.org/I157725225","display_name":"University of Illinois Urbana-Champaign","ror":"https://ror.org/047426m28","country_code":"US","type":"education","lineage":["https://openalex.org/I157725225"]},{"id":"https://openalex.org/I2801919071","display_name":"University of Illinois System","ror":"https://ror.org/05e94g991","country_code":"US","type":"education","lineage":["https://openalex.org/I2801919071"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Dan Schonfeld","raw_affiliation_strings":["Univ. of Illinois (United States)","University of Illinois (United States)"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Univ. of Illinois (United States)","institution_ids":["https://openalex.org/I2801919071"]},{"raw_affiliation_string":"University of Illinois (United States)","institution_ids":["https://openalex.org/I157725225"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5113650842","display_name":"Magdi A. Mohamed","orcid":null,"observed_orcids":[]},"institutions":[{"id":"https://openalex.org/I1333370159","display_name":"Motorola (United States)","ror":"https://ror.org/01hafxd32","country_code":"US","type":"company","lineage":["https://openalex.org/I1333370159"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Magdi Mohamed","raw_affiliation_strings":["Motorola Labs (United States)"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Motorola Labs (United States)","institution_ids":["https://openalex.org/I1333370159"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.2796,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.3927162,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"6077","issue":null,"first_page":"60770V","last_page":"60770V"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10331","display_name":"Video Surveillance and Tracking Methods","score":0.9945999979972839,"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":0.9945999979972839,"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":0.0027000000700354576,"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":0.0005000000237487257,"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/multi-object-tracking","display_name":"multi-target tracking","score":0.9929999709129333},{"id":"https://openalex.org/keywords/target-occlusion","display_name":"target occlusion","score":0.9240000247955322},{"id":"https://openalex.org/keywords/data-association","display_name":"data association","score":0.9940000176429749},{"id":"https://openalex.org/keywords/recursive-estimation","display_name":"recursive estimation","score":0.8330000042915344},{"id":"https://openalex.org/keywords/linear-computational-complexity","display_name":"linear computational complexity","score":0.6729999780654907},{"id":"https://openalex.org/keywords/video-surveillance","display_name":"video surveillance","score":0.7429999709129333}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8552276492118835},{"id":"https://openalex.org/C57501372","wikidata":"https://www.wikidata.org/wiki/Q2021268","display_name":"BitTorrent tracker","level":3,"score":0.8542267084121704},{"id":"https://openalex.org/C2775936607","wikidata":"https://www.wikidata.org/wiki/Q466845","display_name":"Tracking (education)","level":2,"score":0.7566621899604797},{"id":"https://openalex.org/C2983325608","wikidata":"https://www.wikidata.org/wiki/Q17084606","display_name":"Data association","level":3,"score":0.6859572529792786},{"id":"https://openalex.org/C179799912","wikidata":"https://www.wikidata.org/wiki/Q205084","display_name":"Computational complexity theory","level":2,"score":0.5525205731391907},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.46162110567092896},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.3711787164211273},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.3569532632827759},{"id":"https://openalex.org/C56461940","wikidata":"https://www.wikidata.org/wiki/Q970687","display_name":"Eye tracking","level":2,"score":0.2538619339466095},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.0},{"id":"https://openalex.org/C49937458","wikidata":"https://www.wikidata.org/wiki/Q2599292","display_name":"Probabilistic logic","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}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1117/12.640764","doi":"https://doi.org/10.1117/12.640764","is_oa":false,"landing_page_url":"https://doi.org/10.1117/12.640764","pdf_url":null,"source":{"id":"https://openalex.org/S183492911","display_name":"Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE","issn_l":"0277-786X","issn":["0277-786X","1996-756X"],"is_oa":false,"is_in_doaj":false,"is_core":true,"listed_in":["cwts-core","norway-1"],"host_organization":"https://openalex.org/P4310315543","host_organization_name":"SPIE","host_organization_lineage":["https://openalex.org/P4310315543"],"host_organization_lineage_names":["SPIE"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"SPIE Proceedings","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"study_designs":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":5,"referenced_works":["https://openalex.org/W2122190623","https://openalex.org/W2133952369","https://openalex.org/W2141391397","https://openalex.org/W2150440166","https://openalex.org/W2571050459"],"related_works":["https://openalex.org/W2044094427","https://openalex.org/W2892541304","https://openalex.org/W2070845199","https://openalex.org/W2061716749","https://openalex.org/W2136235460","https://openalex.org/W1607775576","https://openalex.org/W2048355298","https://openalex.org/W2063956421","https://openalex.org/W4242541493","https://openalex.org/W2040794746"],"abstract_inverted_index":{"In":[0],"this":[1],"paper,":[2],"we":[3],"present":[4],"a":[5,36,55],"parallel":[6],"multiple":[7,12,16,61],"target":[8,17,62],"tracking":[9,63],"framework":[10],"using":[11],"cooperative":[13],"trackers.":[14],"The":[15,39],"occlusion":[18],"problem":[19],"is":[20],"handled":[21],"by":[22],"modeling":[23],"the":[24,32,43,49],"interaction":[25],"among":[26],"different":[27],"targets'":[28],"observations":[29],"and":[30],"solving":[31],"data":[33],"association":[34],"through":[35],"recursive":[37],"estimation.":[38],"computational":[40],"complexity":[41],"of":[42,51],"proposed":[44],"approach":[45],"increases":[46],"linearly":[47],"with":[48],"number":[50],"targets":[52],"which":[53],"yields":[54],"much":[56],"faster":[57],"implementation":[58],"than":[59],"existing":[60],"algorithms.":[64],"Experimental":[65],"results":[66],"have":[67],"been":[68],"demonstrated":[69],"on":[70],"real-world":[71],"videos.":[72]},"counts_by_year":[],"updated_date":"2026-10-30T12:39:25.321706","created_date":"2016-06-24T00:00:00"}