{"id":"https://openalex.org/W2128791480","doi":"https://doi.org/10.1109/avss.2003.1217904","title":"PMHT based multiple point targets tracking using multiple models in infrared image sequence","display_name":"PMHT based multiple point targets tracking using multiple models in infrared image sequence","publication_year":2004,"publication_date":"2004-01-24","ids":{"openalex":"https://openalex.org/W2128791480","doi":"https://doi.org/10.1109/avss.2003.1217904","mag":"2128791480"},"language":"en","primary_location":{"id":"doi:10.1109/avss.2003.1217904","is_oa":false,"landing_page_url":"https://doi.org/10.1109/avss.2003.1217904","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the IEEE Conference on Advanced Video and Signal Based Surveillance, 2003.","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/A5064684010","display_name":"Mukesh A. Zaveri","orcid":"https://orcid.org/0000-0002-7125-6527"},"institutions":[{"id":"https://openalex.org/I162827531","display_name":"Indian Institute of Technology Bombay","ror":"https://ror.org/02qyf5152","country_code":"IN","type":"education","lineage":["https://openalex.org/I162827531"]}],"countries":["IN"],"is_corresponding":true,"raw_author_name":"M.A. Zaveri","raw_affiliation_strings":["Electrical Engineering Department, IIT, SPANN Laboratory, Bombay, India","Electr. Eng. Dept., IIT Bombay, Mumbai, India#TAB#"],"affiliations":[{"raw_affiliation_string":"Electrical Engineering Department, IIT, SPANN Laboratory, Bombay, India","institution_ids":["https://openalex.org/I162827531"]},{"raw_affiliation_string":"Electr. Eng. Dept., IIT Bombay, Mumbai, India#TAB#","institution_ids":["https://openalex.org/I162827531"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5006161893","display_name":"U.B. Desai","orcid":"https://orcid.org/0000-0001-8019-6565"},"institutions":[{"id":"https://openalex.org/I162827531","display_name":"Indian Institute of Technology Bombay","ror":"https://ror.org/02qyf5152","country_code":"IN","type":"education","lineage":["https://openalex.org/I162827531"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"U.B. Desai","raw_affiliation_strings":["Electrical Engineering Department, IIT, SPANN Laboratory, Bombay, India","Electr. Eng. Dept., IIT Bombay, Mumbai, India#TAB#"],"affiliations":[{"raw_affiliation_string":"Electrical Engineering Department, IIT, SPANN Laboratory, Bombay, India","institution_ids":["https://openalex.org/I162827531"]},{"raw_affiliation_string":"Electr. Eng. Dept., IIT Bombay, Mumbai, India#TAB#","institution_ids":["https://openalex.org/I162827531"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5079092830","display_name":"S. N. Merchant","orcid":"https://orcid.org/0000-0002-9119-6795"},"institutions":[{"id":"https://openalex.org/I162827531","display_name":"Indian Institute of Technology Bombay","ror":"https://ror.org/02qyf5152","country_code":"IN","type":"education","lineage":["https://openalex.org/I162827531"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"S.N. Merchant","raw_affiliation_strings":["Electrical Engineering Department, IIT, SPANN Laboratory, Bombay, India","Electr. Eng. Dept., IIT Bombay, Mumbai, India#TAB#"],"affiliations":[{"raw_affiliation_string":"Electrical Engineering Department, IIT, SPANN Laboratory, Bombay, India","institution_ids":["https://openalex.org/I162827531"]},{"raw_affiliation_string":"Electr. Eng. Dept., IIT Bombay, Mumbai, India#TAB#","institution_ids":["https://openalex.org/I162827531"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5064684010"],"corresponding_institution_ids":["https://openalex.org/I162827531"],"apc_list":null,"apc_paid":null,"fwci":3.31,"has_fulltext":false,"cited_by_count":10,"citation_normalized_percentile":{"value":0.92630222,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":90,"max":94},"biblio":{"volume":"2235","issue":null,"first_page":"73","last_page":"78"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10711","display_name":"Target Tracking and Data Fusion in Sensor Networks","score":0.9962000250816345,"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/T10711","display_name":"Target Tracking and Data Fusion in Sensor Networks","score":0.9962000250816345,"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/T11667","display_name":"Advanced Chemical Sensor Technologies","score":0.9775999784469604,"subfield":{"id":"https://openalex.org/subfields/2204","display_name":"Biomedical 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/T12321","display_name":"Insect Pheromone Research and Control","score":0.955299973487854,"subfield":{"id":"https://openalex.org/subfields/1109","display_name":"Insect Science"},"field":{"id":"https://openalex.org/fields/11","display_name":"Agricultural and Biological Sciences"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/clutter","display_name":"Clutter","score":0.8042721748352051},{"id":"https://openalex.org/keywords/probabilistic-logic","display_name":"Probabilistic logic","score":0.6298670768737793},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6110900640487671},{"id":"https://openalex.org/keywords/a-priori-and-a-posteriori","display_name":"A priori and a posteriori","score":0.5593104958534241},{"id":"https://openalex.org/keywords/tracking","display_name":"Tracking (education)","score":0.5359780192375183},{"id":"https://openalex.org/keywords/expectation\u2013maximization-algorithm","display_name":"Expectation\u2013maximization algorithm","score":0.5295335054397583},{"id":"https://openalex.org/keywords/sequence","display_name":"Sequence (biology)","score":0.5182937979698181},{"id":"https://openalex.org/keywords/data-association","display_name":"Data association","score":0.5142666697502136},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5121176242828369},{"id":"https://openalex.org/keywords/trajectory","display_name":"Trajectory","score":0.5099924802780151},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.4556598365306854},{"id":"https://openalex.org/keywords/missing-data","display_name":"Missing data","score":0.4157276749610901},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.3302522301673889},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.29683300852775574},{"id":"https://openalex.org/keywords/maximum-likelihood","display_name":"Maximum likelihood","score":0.162876158952713},{"id":"https://openalex.org/keywords/radar","display_name":"Radar","score":0.09839272499084473},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.08864042162895203}],"concepts":[{"id":"https://openalex.org/C132094186","wikidata":"https://www.wikidata.org/wiki/Q641585","display_name":"Clutter","level":3,"score":0.8042721748352051},{"id":"https://openalex.org/C49937458","wikidata":"https://www.wikidata.org/wiki/Q2599292","display_name":"Probabilistic logic","level":2,"score":0.6298670768737793},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6110900640487671},{"id":"https://openalex.org/C75553542","wikidata":"https://www.wikidata.org/wiki/Q178161","display_name":"A priori and a posteriori","level":2,"score":0.5593104958534241},{"id":"https://openalex.org/C2775936607","wikidata":"https://www.wikidata.org/wiki/Q466845","display_name":"Tracking (education)","level":2,"score":0.5359780192375183},{"id":"https://openalex.org/C182081679","wikidata":"https://www.wikidata.org/wiki/Q1275153","display_name":"Expectation\u2013maximization algorithm","level":3,"score":0.5295335054397583},{"id":"https://openalex.org/C2778112365","wikidata":"https://www.wikidata.org/wiki/Q3511065","display_name":"Sequence (biology)","level":2,"score":0.5182937979698181},{"id":"https://openalex.org/C2983325608","wikidata":"https://www.wikidata.org/wiki/Q17084606","display_name":"Data association","level":3,"score":0.5142666697502136},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5121176242828369},{"id":"https://openalex.org/C13662910","wikidata":"https://www.wikidata.org/wiki/Q193139","display_name":"Trajectory","level":2,"score":0.5099924802780151},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.4556598365306854},{"id":"https://openalex.org/C9357733","wikidata":"https://www.wikidata.org/wiki/Q6878417","display_name":"Missing data","level":2,"score":0.4157276749610901},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.3302522301673889},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.29683300852775574},{"id":"https://openalex.org/C49781872","wikidata":"https://www.wikidata.org/wiki/Q1045555","display_name":"Maximum likelihood","level":2,"score":0.162876158952713},{"id":"https://openalex.org/C554190296","wikidata":"https://www.wikidata.org/wiki/Q47528","display_name":"Radar","level":2,"score":0.09839272499084473},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.08864042162895203},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.0},{"id":"https://openalex.org/C111472728","wikidata":"https://www.wikidata.org/wiki/Q9471","display_name":"Epistemology","level":1,"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/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/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"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/C1276947","wikidata":"https://www.wikidata.org/wiki/Q333","display_name":"Astronomy","level":1,"score":0.0},{"id":"https://openalex.org/C54355233","wikidata":"https://www.wikidata.org/wiki/Q7162","display_name":"Genetics","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":3,"locations":[{"id":"doi:10.1109/avss.2003.1217904","is_oa":false,"landing_page_url":"https://doi.org/10.1109/avss.2003.1217904","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the IEEE Conference on Advanced Video and Signal Based Surveillance, 2003.","raw_type":"proceedings-article"},{"id":"pmh:oai:dsapce.library.iitb.ac.in:10054/455","is_oa":false,"landing_page_url":"http://dspace.library.iitb.ac.in/xmlui/handle/10054/455","pdf_url":null,"source":{"id":"https://openalex.org/S4306400899","display_name":"DSpace (IIT Bombay)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I162827531","host_organization_name":"Indian Institute of Technology Bombay","host_organization_lineage":["https://openalex.org/I162827531"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"Article"},{"id":"pmh:oai:dspace.library.iitb.ac.in:10054/455","is_oa":false,"landing_page_url":"http://hdl.handle.net/10054/455","pdf_url":null,"source":{"id":"https://openalex.org/S4306400899","display_name":"DSpace (IIT Bombay)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I162827531","host_organization_name":"Indian Institute of Technology Bombay","host_organization_lineage":["https://openalex.org/I162827531"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"Article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/10","display_name":"Reduced inequalities","score":0.4399999976158142}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":15,"referenced_works":["https://openalex.org/W1513151208","https://openalex.org/W1965449873","https://openalex.org/W1984349826","https://openalex.org/W1985690171","https://openalex.org/W2047067712","https://openalex.org/W2071946363","https://openalex.org/W2091770043","https://openalex.org/W2103204412","https://openalex.org/W2135133907","https://openalex.org/W2147577240","https://openalex.org/W2162846467","https://openalex.org/W2571050459","https://openalex.org/W3187867541","https://openalex.org/W4285719527","https://openalex.org/W6630667368"],"related_works":["https://openalex.org/W2130674020","https://openalex.org/W2093748878","https://openalex.org/W2333771223","https://openalex.org/W2120056845","https://openalex.org/W2139793004","https://openalex.org/W2097396029","https://openalex.org/W2172267623","https://openalex.org/W1513162701","https://openalex.org/W1843307665","https://openalex.org/W4297796009"],"abstract_inverted_index":{"Data":[0],"association":[1,95],"and":[2,67,102,109,128],"model":[3],"selection":[4],"are":[5],"important":[6,111],"factors":[7],"for":[8,64,133],"tracking":[9,24],"multiple":[10,22,30],"targets":[11,66],"in":[12,80,121],"a":[13,19,49,122],"dense":[14],"clutter":[15],"environment.":[16],"We":[17],"propose":[18],"sequential":[20],"probabilistic":[21],"hypotheses":[23],"(PMHT)":[25],"based":[26],"algorithm":[27,91,116],"using":[28,84],"interacting":[29],"modelling":[31],"(IMM),":[32],"namely":[33],"the":[34,53,65,72,75],"IMM-PMHT":[35],"algorithm.":[36,88],"Inclusion":[37],"of":[38,113],"IMM":[39,56],"enables":[40],"any":[41,48],"arbitrary":[42],"trajectory":[43],"to":[44,59,70],"be":[45,131],"tracked":[46],"without":[47],"priori":[50],"information":[51],"about":[52,74],"target":[54],"dynamics.":[55],"allows":[57],"us":[58],"incorporate":[60],"different":[61],"dynamic":[62],"models":[63],"PMHT":[68],"helps":[69],"avoid":[71],"uncertainty":[73],"measurement":[76,94],"origin.":[77],"It":[78,104],"operates":[79,120],"an":[81,85,110],"iterative":[82],"mode":[83],"expectation-maximization":[86],"(EM)":[87],"The":[89],"proposed":[90,115],"uses":[92],"only":[93],"as":[96],"missing":[97],"data,":[98],"which":[99],"simplifies":[100],"E-step":[101],"M-step.":[103],"is":[105,117],"computationally":[106],"more":[107],"efficient,":[108],"characteristic":[112],"our":[114],"that":[118],"it":[119],"single":[123],"batch":[124],"model,":[125],"i.e.":[126],"sequential,":[127],"hence":[129],"can":[130],"used":[132],"real":[134],"time":[135],"tracking.":[136]},"counts_by_year":[{"year":2013,"cited_by_count":1}],"updated_date":"2026-03-31T06:02:25.137627","created_date":"2025-10-10T00:00:00"}
