{"id":"https://openalex.org/W1579875805","doi":"https://doi.org/10.1109/isbi.2015.7163892","title":"Tracking of non-brownian particles using the Viterbi algorithm","display_name":"Tracking of non-brownian particles using the Viterbi algorithm","publication_year":2015,"publication_date":"2015-04-01","ids":{"openalex":"https://openalex.org/W1579875805","doi":"https://doi.org/10.1109/isbi.2015.7163892","mag":"1579875805"},"language":"en","primary_location":{"id":"doi:10.1109/isbi.2015.7163892","is_oa":false,"landing_page_url":"https://doi.org/10.1109/isbi.2015.7163892","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2015 IEEE 12th International Symposium on Biomedical Imaging (ISBI)","raw_type":"proceedings-article"},"type":"conference-paper","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/A5003328943","display_name":"Klas E. G. Magnusson","orcid":null},"institutions":[{"id":"https://openalex.org/I86987016","display_name":"KTH Royal Institute of Technology","ror":"https://ror.org/026vcq606","country_code":"SE","type":"education","lineage":["https://openalex.org/I86987016"]}],"countries":["SE"],"is_corresponding":false,"raw_author_name":"Klas E. G. Magnusson","raw_affiliation_strings":["ACCESS Linnaeus Centre, KTH Royal Institute of Technology"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"ACCESS Linnaeus Centre, KTH Royal Institute of Technology","institution_ids":["https://openalex.org/I86987016"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5059936184","display_name":"Joakim Jald\u00e9n","orcid":"https://orcid.org/0000-0001-6630-243X"},"institutions":[{"id":"https://openalex.org/I86987016","display_name":"KTH Royal Institute of Technology","ror":"https://ror.org/026vcq606","country_code":"SE","type":"education","lineage":["https://openalex.org/I86987016"]}],"countries":["SE"],"is_corresponding":false,"raw_author_name":"Joakim Jalden","raw_affiliation_strings":["ACCESS Linnaeus Centre, KTH Royal Institute of Technology"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"ACCESS Linnaeus Centre, KTH Royal Institute of Technology","institution_ids":["https://openalex.org/I86987016"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I86987016"],"apc_list":null,"apc_paid":null,"fwci":5.634,"has_fulltext":false,"cited_by_count":9,"citation_normalized_percentile":{"value":0.94724026,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":89,"max":97},"biblio":{"volume":null,"issue":null,"first_page":"380","last_page":"384"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T13187","display_name":"Diffusion and Search Dynamics","score":0.9846000075340271,"subfield":{"id":"https://openalex.org/subfields/1312","display_name":"Molecular Biology"},"field":{"id":"https://openalex.org/fields/13","display_name":"Biochemistry, Genetics and Molecular Biology"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}},"topics":[{"id":"https://openalex.org/T13187","display_name":"Diffusion and Search Dynamics","score":0.9846000075340271,"subfield":{"id":"https://openalex.org/subfields/1312","display_name":"Molecular Biology"},"field":{"id":"https://openalex.org/fields/13","display_name":"Biochemistry, Genetics and Molecular Biology"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}},{"id":"https://openalex.org/T12391","display_name":"Artificial Immune Systems Applications","score":0.984000027179718,"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/T10331","display_name":"Video Surveillance and Tracking Methods","score":0.9764000177383423,"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":0.7192981243133545},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6434139609336853},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.6331391334533691},{"id":"https://openalex.org/keywords/viterbi-algorithm","display_name":"Viterbi algorithm","score":0.6237795352935791},{"id":"https://openalex.org/keywords/particle-filter","display_name":"Particle filter","score":0.5859017372131348},{"id":"https://openalex.org/keywords/clutter","display_name":"Clutter","score":0.5762171149253845},{"id":"https://openalex.org/keywords/iterative-viterbi-decoding","display_name":"Iterative Viterbi decoding","score":0.4927857220172882},{"id":"https://openalex.org/keywords/markov-process","display_name":"Markov process","score":0.4901646077632904},{"id":"https://openalex.org/keywords/soft-output-viterbi-algorithm","display_name":"Soft output Viterbi algorithm","score":0.4451519250869751},{"id":"https://openalex.org/keywords/markov-chain","display_name":"Markov chain","score":0.43412789702415466},{"id":"https://openalex.org/keywords/noise","display_name":"Noise (video)","score":0.4317982792854309},{"id":"https://openalex.org/keywords/range","display_name":"Range (aeronautics)","score":0.42623764276504517},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3913896083831787},{"id":"https://openalex.org/keywords/kalman-filter","display_name":"Kalman filter","score":0.380781888961792},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.2033972144126892},{"id":"https://openalex.org/keywords/radar","display_name":"Radar","score":0.11185666918754578},{"id":"https://openalex.org/keywords/decoding-methods","display_name":"Decoding methods","score":0.10439032316207886},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.09370976686477661}],"concepts":[{"id":"https://openalex.org/C2775936607","wikidata":"https://www.wikidata.org/wiki/Q466845","display_name":"Tracking (education)","level":2,"score":0.7192981243133545},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6434139609336853},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.6331391334533691},{"id":"https://openalex.org/C60582962","wikidata":"https://www.wikidata.org/wiki/Q83886","display_name":"Viterbi algorithm","level":3,"score":0.6237795352935791},{"id":"https://openalex.org/C52421305","wikidata":"https://www.wikidata.org/wiki/Q1151499","display_name":"Particle filter","level":3,"score":0.5859017372131348},{"id":"https://openalex.org/C132094186","wikidata":"https://www.wikidata.org/wiki/Q641585","display_name":"Clutter","level":3,"score":0.5762171149253845},{"id":"https://openalex.org/C113638808","wikidata":"https://www.wikidata.org/wiki/Q6094410","display_name":"Iterative Viterbi decoding","level":5,"score":0.4927857220172882},{"id":"https://openalex.org/C159886148","wikidata":"https://www.wikidata.org/wiki/Q176645","display_name":"Markov process","level":2,"score":0.4901646077632904},{"id":"https://openalex.org/C130319729","wikidata":"https://www.wikidata.org/wiki/Q83886","display_name":"Soft output Viterbi algorithm","level":5,"score":0.4451519250869751},{"id":"https://openalex.org/C98763669","wikidata":"https://www.wikidata.org/wiki/Q176645","display_name":"Markov chain","level":2,"score":0.43412789702415466},{"id":"https://openalex.org/C99498987","wikidata":"https://www.wikidata.org/wiki/Q2210247","display_name":"Noise (video)","level":3,"score":0.4317982792854309},{"id":"https://openalex.org/C204323151","wikidata":"https://www.wikidata.org/wiki/Q905424","display_name":"Range (aeronautics)","level":2,"score":0.42623764276504517},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3913896083831787},{"id":"https://openalex.org/C157286648","wikidata":"https://www.wikidata.org/wiki/Q846780","display_name":"Kalman filter","level":2,"score":0.380781888961792},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.2033972144126892},{"id":"https://openalex.org/C554190296","wikidata":"https://www.wikidata.org/wiki/Q47528","display_name":"Radar","level":2,"score":0.11185666918754578},{"id":"https://openalex.org/C57273362","wikidata":"https://www.wikidata.org/wiki/Q576722","display_name":"Decoding methods","level":2,"score":0.10439032316207886},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.09370976686477661},{"id":"https://openalex.org/C19417346","wikidata":"https://www.wikidata.org/wiki/Q7922","display_name":"Pedagogy","level":1,"score":0.0},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.0},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.0},{"id":"https://openalex.org/C146978453","wikidata":"https://www.wikidata.org/wiki/Q3798668","display_name":"Aerospace engineering","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/C193969084","wikidata":"https://www.wikidata.org/wiki/Q7452500","display_name":"Sequential decoding","level":4,"score":0.0},{"id":"https://openalex.org/C157125643","wikidata":"https://www.wikidata.org/wiki/Q884707","display_name":"Block code","level":3,"score":0.0},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","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}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/isbi.2015.7163892","is_oa":false,"landing_page_url":"https://doi.org/10.1109/isbi.2015.7163892","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2015 IEEE 12th International Symposium on Biomedical Imaging (ISBI)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":18,"referenced_works":["https://openalex.org/W81229128","https://openalex.org/W149540474","https://openalex.org/W1973421894","https://openalex.org/W1974509526","https://openalex.org/W1986534138","https://openalex.org/W2037947871","https://openalex.org/W2101916976","https://openalex.org/W2103706175","https://openalex.org/W2105916176","https://openalex.org/W2111644456","https://openalex.org/W2129223507","https://openalex.org/W2137585588","https://openalex.org/W2141273399","https://openalex.org/W2143623375","https://openalex.org/W2158052446","https://openalex.org/W2167536584","https://openalex.org/W2168237413","https://openalex.org/W6679344432"],"related_works":["https://openalex.org/W2143297499","https://openalex.org/W1915619113","https://openalex.org/W1987061770","https://openalex.org/W2386939465","https://openalex.org/W2993094530","https://openalex.org/W2767243160","https://openalex.org/W2544568790","https://openalex.org/W2073817053","https://openalex.org/W2062804535","https://openalex.org/W1879414379"],"abstract_inverted_index":{"We":[0],"present":[1],"a":[2,17,29,82,126],"global":[3,19],"tracking":[4,7,14,39,131],"algorithm":[5,15,22,27,40,50,69,86,122],"for":[6],"particles":[8,62],"with":[9,28],"dynamic":[10],"motion":[11,78],"models.":[12],"The":[13,49,68,85,117],"augments":[16],"existing":[18],"track":[20],"linking":[21],"based":[23],"on":[24,89],"the":[25,38,43,64,90,95],"Viterbi":[26],"Gaussian":[30],"Mixture":[31],"Probability":[32],"Hypothesis":[33],"Density":[34],"filter.":[35],"This":[36],"allows":[37],"to":[41,46,81,114],"use":[42],"target":[44],"velocities":[45],"link":[47],"tracks.":[48],"can":[51,70],"handle":[52,72],"clutter,":[53],"missed":[54],"detections,":[55],"and":[56,59,106,112,136],"random":[57],"appearance":[58],"disappearance":[60],"of":[61,66,129],"in":[63,94,133],"field":[65],"view.":[67],"also":[71],"targets":[73],"that":[74,120],"switch":[75],"between":[76],"different":[77,109],"models":[79],"according":[80],"Markov":[83],"process.":[84],"is":[87],"evaluated":[88],"synthetic":[91],"datasets":[92],"used":[93],"ISBI":[96],"2012":[97],"Particle":[98],"Tracking":[99],"Challenge,":[100],"which":[101],"simulate":[102],"vesicles,":[103],"receptors,":[104],"microtubules,":[105],"viruses":[107],"at":[108],"particle":[110,130],"densities":[111],"signal":[113],"noise":[115],"ratios.":[116],"evaluation":[118],"shows":[119],"our":[121],"performs":[123],"well":[124],"across":[125],"wide":[127],"range":[128],"problems":[132],"both":[134],"2D":[135],"3D.":[137]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2023,"cited_by_count":1},{"year":2021,"cited_by_count":2},{"year":2018,"cited_by_count":2},{"year":2017,"cited_by_count":2},{"year":2016,"cited_by_count":1}],"updated_date":"2026-08-21T09:56:20.448147","created_date":"2025-10-10T00:00:00"}