{"id":"https://openalex.org/W2102373105","doi":"https://doi.org/10.1109/avss.2005.1577314","title":"Rank-based multisensory fusion in multitarget video tracking","display_name":"Rank-based multisensory fusion in multitarget video tracking","publication_year":2006,"publication_date":"2006-01-25","ids":{"openalex":"https://openalex.org/W2102373105","doi":"https://doi.org/10.1109/avss.2005.1577314","mag":"2102373105"},"language":"en","primary_location":{"id":"doi:10.1109/avss.2005.1577314","is_oa":false,"landing_page_url":"https://doi.org/10.1109/avss.2005.1577314","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings. IEEE Conference on Advanced Video and Signal Based Surveillance, 2005.","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/A5037546204","display_name":"Damian M. Lyons","orcid":"https://orcid.org/0000-0003-1460-9741"},"institutions":[{"id":"https://openalex.org/I164389053","display_name":"Fordham University","ror":"https://ror.org/03qnxaf80","country_code":"US","type":"education","lineage":["https://openalex.org/I164389053"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"D.M. Lyons","raw_affiliation_strings":["Robotics and Computer Vision Laboratory, Department of Computer and Information Science, Fordham University, Bronx, NY, USA","[Department of Computer and Information Science, Fordham University, Bronx, NY, USA]"],"affiliations":[{"raw_affiliation_string":"Robotics and Computer Vision Laboratory, Department of Computer and Information Science, Fordham University, Bronx, NY, USA","institution_ids":["https://openalex.org/I164389053"]},{"raw_affiliation_string":"[Department of Computer and Information Science, Fordham University, Bronx, NY, USA]","institution_ids":["https://openalex.org/I164389053"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5101962233","display_name":"D. Frank Hsu","orcid":"https://orcid.org/0000-0003-0468-0843"},"institutions":[{"id":"https://openalex.org/I164389053","display_name":"Fordham University","ror":"https://ror.org/03qnxaf80","country_code":"US","type":"education","lineage":["https://openalex.org/I164389053"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"D.F. Hsu","raw_affiliation_strings":["Robotics and Computer Vision Laboratory, Department of Computer and Information Science, Fordham University, Bronx, NY, USA","[Department of Computer and Information Science, Fordham University, Bronx, NY, USA]"],"affiliations":[{"raw_affiliation_string":"Robotics and Computer Vision Laboratory, Department of Computer and Information Science, Fordham University, Bronx, NY, USA","institution_ids":["https://openalex.org/I164389053"]},{"raw_affiliation_string":"[Department of Computer and Information Science, Fordham University, Bronx, NY, USA]","institution_ids":["https://openalex.org/I164389053"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5037546204"],"corresponding_institution_ids":["https://openalex.org/I164389053"],"apc_list":null,"apc_paid":null,"fwci":1.8967,"has_fulltext":false,"cited_by_count":8,"citation_normalized_percentile":{"value":0.86366388,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"85","issue":null,"first_page":"468","last_page":"473"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10331","display_name":"Video Surveillance and Tracking Methods","score":0.9984999895095825,"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":0.9984999895095825,"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/T12389","display_name":"Infrared Target Detection Methodologies","score":0.9818000197410583,"subfield":{"id":"https://openalex.org/subfields/2202","display_name":"Aerospace Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10531","display_name":"Advanced Vision and Imaging","score":0.9760000109672546,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/tracking","display_name":"Tracking (education)","score":0.7572455406188965},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7326749563217163},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.6921858191490173},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6858608722686768},{"id":"https://openalex.org/keywords/fusion","display_name":"Fusion","score":0.6529480218887329},{"id":"https://openalex.org/keywords/focus","display_name":"Focus (optics)","score":0.6469079852104187},{"id":"https://openalex.org/keywords/sensor-fusion","display_name":"Sensor fusion","score":0.6055596470832825},{"id":"https://openalex.org/keywords/rank","display_name":"Rank (graph theory)","score":0.5653824210166931},{"id":"https://openalex.org/keywords/video-tracking","display_name":"Video tracking","score":0.5336042046546936},{"id":"https://openalex.org/keywords/eye-tracking","display_name":"Eye tracking","score":0.49761393666267395},{"id":"https://openalex.org/keywords/position","display_name":"Position (finance)","score":0.4945375621318817},{"id":"https://openalex.org/keywords/video-processing","display_name":"Video processing","score":0.2222946286201477},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.1462174355983734},{"id":"https://openalex.org/keywords/psychology","display_name":"Psychology","score":0.07048308849334717}],"concepts":[{"id":"https://openalex.org/C2775936607","wikidata":"https://www.wikidata.org/wiki/Q466845","display_name":"Tracking (education)","level":2,"score":0.7572455406188965},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7326749563217163},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.6921858191490173},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6858608722686768},{"id":"https://openalex.org/C158525013","wikidata":"https://www.wikidata.org/wiki/Q2593739","display_name":"Fusion","level":2,"score":0.6529480218887329},{"id":"https://openalex.org/C192209626","wikidata":"https://www.wikidata.org/wiki/Q190909","display_name":"Focus (optics)","level":2,"score":0.6469079852104187},{"id":"https://openalex.org/C33954974","wikidata":"https://www.wikidata.org/wiki/Q486494","display_name":"Sensor fusion","level":2,"score":0.6055596470832825},{"id":"https://openalex.org/C164226766","wikidata":"https://www.wikidata.org/wiki/Q7293202","display_name":"Rank (graph theory)","level":2,"score":0.5653824210166931},{"id":"https://openalex.org/C202474056","wikidata":"https://www.wikidata.org/wiki/Q1931635","display_name":"Video tracking","level":3,"score":0.5336042046546936},{"id":"https://openalex.org/C56461940","wikidata":"https://www.wikidata.org/wiki/Q970687","display_name":"Eye tracking","level":2,"score":0.49761393666267395},{"id":"https://openalex.org/C198082294","wikidata":"https://www.wikidata.org/wiki/Q3399648","display_name":"Position (finance)","level":2,"score":0.4945375621318817},{"id":"https://openalex.org/C65483669","wikidata":"https://www.wikidata.org/wiki/Q3536669","display_name":"Video processing","level":2,"score":0.2222946286201477},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.1462174355983734},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.07048308849334717},{"id":"https://openalex.org/C120665830","wikidata":"https://www.wikidata.org/wiki/Q14620","display_name":"Optics","level":1,"score":0.0},{"id":"https://openalex.org/C10138342","wikidata":"https://www.wikidata.org/wiki/Q43015","display_name":"Finance","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/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"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/C19417346","wikidata":"https://www.wikidata.org/wiki/Q7922","display_name":"Pedagogy","level":1,"score":0.0},{"id":"https://openalex.org/C114614502","wikidata":"https://www.wikidata.org/wiki/Q76592","display_name":"Combinatorics","level":1,"score":0.0},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.0}],"mesh":[],"locations_count":4,"locations":[{"id":"doi:10.1109/avss.2005.1577314","is_oa":false,"landing_page_url":"https://doi.org/10.1109/avss.2005.1577314","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings. IEEE Conference on Advanced Video and Signal Based Surveillance, 2005.","raw_type":"proceedings-article"},{"id":"pmh:oai:CiteSeerX.psu:10.1.1.112.9269","is_oa":false,"landing_page_url":"http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.112.9269","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"http://www.cis.fordham.edu/~lyons/AVSS05.pdf","raw_type":"text"},{"id":"pmh:oai:CiteSeerX.psu:10.1.1.988.1012","is_oa":false,"landing_page_url":"http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.988.1012","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"http://fordham.bepress.com/cgi/viewcontent.cgi?article%3D1031%26context%3Dfrcv_facultypubs","raw_type":"text"},{"id":"pmh:oai:fordham.bepress.com:frcv_facultypubs-1031","is_oa":false,"landing_page_url":"https://fordham.bepress.com/frcv_facultypubs/31","pdf_url":null,"source":{"id":"https://openalex.org/S4377196473","display_name":"Fordham Research Commons (Fordham University)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I164389053","host_organization_name":"Fordham University","host_organization_lineage":["https://openalex.org/I164389053"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Faculty Publications","raw_type":"text"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":31,"referenced_works":["https://openalex.org/W1499877760","https://openalex.org/W1574098502","https://openalex.org/W1910346943","https://openalex.org/W1912392457","https://openalex.org/W1973994458","https://openalex.org/W2042024605","https://openalex.org/W2098305880","https://openalex.org/W2107451631","https://openalex.org/W2109966865","https://openalex.org/W2118572719","https://openalex.org/W2121899951","https://openalex.org/W2122558050","https://openalex.org/W2124068852","https://openalex.org/W2131750622","https://openalex.org/W2132103241","https://openalex.org/W2149176780","https://openalex.org/W2158353157","https://openalex.org/W2164480770","https://openalex.org/W2164568552","https://openalex.org/W2170120409","https://openalex.org/W2171413796","https://openalex.org/W2265431425","https://openalex.org/W2571050459","https://openalex.org/W2606492624","https://openalex.org/W3187867541","https://openalex.org/W4254978655","https://openalex.org/W6629695367","https://openalex.org/W6661019243","https://openalex.org/W6679709651","https://openalex.org/W6684837874","https://openalex.org/W6736692037"],"related_works":["https://openalex.org/W2112835755","https://openalex.org/W4291951920","https://openalex.org/W2349674371","https://openalex.org/W2097495471","https://openalex.org/W1696545756","https://openalex.org/W2132659060","https://openalex.org/W2031992971","https://openalex.org/W3214791684","https://openalex.org/W2353265673","https://openalex.org/W2152662039"],"abstract_inverted_index":{"An":[0],"attractive":[1],"approach":[2],"to":[3,11,33,130],"improve":[4],"tracking":[5,30,105,133],"performance":[6],"for":[7,29,49],"visual":[8,16],"surveillance":[9],"is":[10],"use":[12,94],"information":[13,98],"from":[14],"multiple":[15],"sensory":[17],"cues":[18],"such":[19],"as":[20,119],"position,":[21],"color,":[22],"shape,":[23],"etc.":[24],"Previous":[25],"work":[26],"in":[27,55,73,99,107,122],"fusion":[28,36,82,100,117],"has":[31],"tended":[32],"focus":[34],"on":[35],"by":[37,43],"numerically":[38],"combining":[39],"the":[40,59,69],"scores":[41],"assigned":[42],"each":[44],"cue.":[45],"We":[46,110],"argue":[47],"that":[48,93,135],"video":[50],"scenes":[51],"with":[52,66],"many":[53],"targets":[54],"a":[56,102,113,120,132],"crowded":[57,108],"situation,":[58],"splitting":[60],"and":[61,68,76,128],"merging":[62],"of":[63,81,95,115],"regions":[64],"associated":[65],"targets,":[67],"subsequent":[70],"dramatic":[71],"changes":[72],"cue":[74,96],"values":[75],"reliabilities,":[77],"renders":[78],"this":[79,86,116,125],"form":[80],"less":[83],"effective.":[84],"In":[85],"paper":[87],"we":[88],"present":[89,112],"experimental":[90],"results":[91],"showing":[92],"rank":[97],"produces":[101],"significantly":[103],"better":[104],"result":[106],"scenes.":[109],"also":[111],"formalization":[114],"problem":[118],"step":[121],"understanding":[123],"why":[124],"effect":[126],"occurs":[127],"how":[129],"build":[131],"system":[134],"exploits":[136],"it.":[137]},"counts_by_year":[],"updated_date":"2026-04-04T16:13:02.066488","created_date":"2025-10-10T00:00:00"}