{"id":"https://openalex.org/W2771416608","doi":"https://doi.org/10.1109/iccais.2017.8217567","title":"Occlusion handling for online visual tracking using labeled random set filters","display_name":"Occlusion handling for online visual tracking using labeled random set filters","publication_year":2017,"publication_date":"2017-10-01","ids":{"openalex":"https://openalex.org/W2771416608","doi":"https://doi.org/10.1109/iccais.2017.8217567","mag":"2771416608"},"language":"en","primary_location":{"id":"doi:10.1109/iccais.2017.8217567","is_oa":false,"landing_page_url":"https://doi.org/10.1109/iccais.2017.8217567","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2017 International Conference on Control, Automation and Information Sciences (ICCAIS)","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":null,"any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5019402301","display_name":"Tharindu Rathnayake","orcid":"https://orcid.org/0000-0002-3375-8999"},"institutions":[{"id":"https://openalex.org/I82951845","display_name":"RMIT University","ror":"https://ror.org/04ttjf776","country_code":"AU","type":"education","lineage":["https://openalex.org/I82951845"]}],"countries":["AU"],"is_corresponding":true,"raw_author_name":"Tharindu Rathnayake","raw_affiliation_strings":["School of Engineering RMIT University, Victoria, Australia"],"affiliations":[{"raw_affiliation_string":"School of Engineering RMIT University, Victoria, Australia","institution_ids":["https://openalex.org/I82951845"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5064997605","display_name":"Amirali Khodadadian Gostar","orcid":"https://orcid.org/0000-0002-4800-6554"},"institutions":[{"id":"https://openalex.org/I82951845","display_name":"RMIT University","ror":"https://ror.org/04ttjf776","country_code":"AU","type":"education","lineage":["https://openalex.org/I82951845"]}],"countries":["AU"],"is_corresponding":false,"raw_author_name":"Amirali Khodadadian Gostar","raw_affiliation_strings":["School of Engineering RMIT University, Victoria, Australia"],"affiliations":[{"raw_affiliation_string":"School of Engineering RMIT University, Victoria, Australia","institution_ids":["https://openalex.org/I82951845"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5050176259","display_name":"Reza Hoseinnezhad","orcid":"https://orcid.org/0000-0001-9525-1467"},"institutions":[{"id":"https://openalex.org/I82951845","display_name":"RMIT University","ror":"https://ror.org/04ttjf776","country_code":"AU","type":"education","lineage":["https://openalex.org/I82951845"]}],"countries":["AU"],"is_corresponding":false,"raw_author_name":"Reza Hoseinnezhad","raw_affiliation_strings":["School of Engineering RMIT University, Victoria, Australia"],"affiliations":[{"raw_affiliation_string":"School of Engineering RMIT University, Victoria, Australia","institution_ids":["https://openalex.org/I82951845"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5067249512","display_name":"Alireza Bab\u2010Hadiashar","orcid":"https://orcid.org/0000-0002-6192-2303"},"institutions":[{"id":"https://openalex.org/I82951845","display_name":"RMIT University","ror":"https://ror.org/04ttjf776","country_code":"AU","type":"education","lineage":["https://openalex.org/I82951845"]}],"countries":["AU"],"is_corresponding":false,"raw_author_name":"Alireza Bab-Hadiashar","raw_affiliation_strings":["School of Engineering RMIT University, Victoria, Australia"],"affiliations":[{"raw_affiliation_string":"School of Engineering RMIT University, Victoria, Australia","institution_ids":["https://openalex.org/I82951845"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5019402301"],"corresponding_institution_ids":["https://openalex.org/I82951845"],"apc_list":null,"apc_paid":null,"fwci":1.0382,"has_fulltext":false,"cited_by_count":5,"citation_normalized_percentile":{"value":0.83812086,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":96},"biblio":{"volume":"12","issue":null,"first_page":"151","last_page":"156"},"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":0.9983000159263611,"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":0.9983000159263611,"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/T10331","display_name":"Video Surveillance and Tracking Methods","score":0.9973000288009644,"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/T11512","display_name":"Anomaly Detection Techniques and Applications","score":0.9714999794960022,"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/initialization","display_name":"Initialization","score":0.8437049388885498},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7334437966346741},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.7129056453704834},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.7125041484832764},{"id":"https://openalex.org/keywords/tracking","display_name":"Tracking (education)","score":0.6725156903266907},{"id":"https://openalex.org/keywords/occlusion","display_name":"Occlusion","score":0.5150017738342285},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.49326246976852417},{"id":"https://openalex.org/keywords/eye-tracking","display_name":"Eye tracking","score":0.4886806309223175},{"id":"https://openalex.org/keywords/video-tracking","display_name":"Video tracking","score":0.4520742893218994},{"id":"https://openalex.org/keywords/active-appearance-model","display_name":"Active appearance model","score":0.434383749961853},{"id":"https://openalex.org/keywords/similarity","display_name":"Similarity (geometry)","score":0.43369781970977783},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.3385017514228821},{"id":"https://openalex.org/keywords/object","display_name":"Object (grammar)","score":0.2219991683959961},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.14770421385765076}],"concepts":[{"id":"https://openalex.org/C114466953","wikidata":"https://www.wikidata.org/wiki/Q6034165","display_name":"Initialization","level":2,"score":0.8437049388885498},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7334437966346741},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7129056453704834},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.7125041484832764},{"id":"https://openalex.org/C2775936607","wikidata":"https://www.wikidata.org/wiki/Q466845","display_name":"Tracking (education)","level":2,"score":0.6725156903266907},{"id":"https://openalex.org/C2776268601","wikidata":"https://www.wikidata.org/wiki/Q968808","display_name":"Occlusion","level":2,"score":0.5150017738342285},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.49326246976852417},{"id":"https://openalex.org/C56461940","wikidata":"https://www.wikidata.org/wiki/Q970687","display_name":"Eye tracking","level":2,"score":0.4886806309223175},{"id":"https://openalex.org/C202474056","wikidata":"https://www.wikidata.org/wiki/Q1931635","display_name":"Video tracking","level":3,"score":0.4520742893218994},{"id":"https://openalex.org/C83248878","wikidata":"https://www.wikidata.org/wiki/Q344000","display_name":"Active appearance model","level":3,"score":0.434383749961853},{"id":"https://openalex.org/C103278499","wikidata":"https://www.wikidata.org/wiki/Q254465","display_name":"Similarity (geometry)","level":3,"score":0.43369781970977783},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3385017514228821},{"id":"https://openalex.org/C2781238097","wikidata":"https://www.wikidata.org/wiki/Q175026","display_name":"Object (grammar)","level":2,"score":0.2219991683959961},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.14770421385765076},{"id":"https://openalex.org/C19417346","wikidata":"https://www.wikidata.org/wiki/Q7922","display_name":"Pedagogy","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/C164705383","wikidata":"https://www.wikidata.org/wiki/Q10379","display_name":"Cardiology","level":1,"score":0.0},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.0},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0}],"mesh":[],"locations_count":3,"locations":[{"id":"doi:10.1109/iccais.2017.8217567","is_oa":false,"landing_page_url":"https://doi.org/10.1109/iccais.2017.8217567","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2017 International Conference on Control, Automation and Information Sciences (ICCAIS)","raw_type":"proceedings-article"},{"id":"pmh:oai:alma61RMIT.INST:11280620720001341","is_oa":false,"landing_page_url":"http://purl.org/au-research/grants/arc/LP130100521","pdf_url":null,"source":{"id":"https://openalex.org/S4306402074","display_name":"RMIT Research Repository (RMIT University Library)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I82951845","host_organization_name":"RMIT University","host_organization_lineage":["https://openalex.org/I82951845"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"text"},{"id":"pmh:oai:figshare.com:article/27590820","is_oa":true,"landing_page_url":null,"pdf_url":null,"source":{"id":"https://openalex.org/S4377196282","display_name":"Figshare","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I4210132348","host_organization_name":"Figshare (United Kingdom)","host_organization_lineage":["https://openalex.org/I4210132348"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"Text"}],"best_oa_location":{"id":"pmh:oai:figshare.com:article/27590820","is_oa":true,"landing_page_url":null,"pdf_url":null,"source":{"id":"https://openalex.org/S4377196282","display_name":"Figshare","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I4210132348","host_organization_name":"Figshare (United Kingdom)","host_organization_lineage":["https://openalex.org/I4210132348"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"Text"},"sustainable_development_goals":[{"display_name":"Sustainable cities and communities","score":0.6399999856948853,"id":"https://metadata.un.org/sdg/11"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":29,"referenced_works":["https://openalex.org/W115730240","https://openalex.org/W1488524902","https://openalex.org/W1513768190","https://openalex.org/W1556457043","https://openalex.org/W1965106715","https://openalex.org/W1980675325","https://openalex.org/W2016135469","https://openalex.org/W2022515186","https://openalex.org/W2035153336","https://openalex.org/W2049244691","https://openalex.org/W2051588547","https://openalex.org/W2056250745","https://openalex.org/W2082716591","https://openalex.org/W2083049794","https://openalex.org/W2104828970","https://openalex.org/W2121091546","https://openalex.org/W2122088301","https://openalex.org/W2147953023","https://openalex.org/W2148958980","https://openalex.org/W2154353836","https://openalex.org/W2155243759","https://openalex.org/W2158734944","https://openalex.org/W2171932356","https://openalex.org/W2615915281","https://openalex.org/W2964103318","https://openalex.org/W6604676385","https://openalex.org/W6633359097","https://openalex.org/W6678298392","https://openalex.org/W6684363390"],"related_works":["https://openalex.org/W3204184292","https://openalex.org/W3176564347","https://openalex.org/W1985458517","https://openalex.org/W2791533121","https://openalex.org/W2132541102","https://openalex.org/W2963010494","https://openalex.org/W2012200063","https://openalex.org/W3201620372","https://openalex.org/W2107332757","https://openalex.org/W2132182117"],"abstract_inverted_index":{"This":[0],"paper":[1],"presents":[2],"a":[3],"novel":[4],"solution":[5,77],"to":[6,32],"the":[7,65,71,95],"occlusion":[8,21],"handling":[9,22],"problem":[10],"in":[11,100],"pedestrian":[12],"tracking":[13,89],"using":[14,78],"labeled":[15],"random":[16],"finite":[17],"set":[18],"theory.":[19],"The":[20,91],"module":[23],"uses":[24],"motion":[25],"and":[26,48,64,83],"color":[27],"cues":[28],"of":[29,67,70,102],"tracked":[30,55,72],"targets":[31,56],"recover":[33],"target":[34],"labels":[35],"after":[36],"occlusion.":[37],"An":[38],"effective":[39],"algorithm":[40,97],"is":[41,51],"also":[42],"proposed":[43,96],"for":[44],"false":[45],"alarm":[46],"detection":[47],"removal":[49],"which":[50],"designed":[52],"based":[53],"on":[54],"features":[57],"such":[58],"as,":[59],"overlap":[60],"ratio,":[61],"size":[62],"similarity":[63],"time":[66],"track":[68],"initialization":[69],"targets.":[73],"We":[74],"implement":[75],"our":[76],"sequential":[79],"Monte":[80],"Carlo":[81],"method,":[82],"compare":[84],"it":[85],"with":[86],"state-of-the-art":[87],"visual":[88],"methods.":[90],"results":[92],"show":[93],"that":[94],"perform":[98],"favorably":[99],"terms":[101],"various":[103],"standard":[104],"performance":[105],"metrics.":[106]},"counts_by_year":[{"year":2020,"cited_by_count":2},{"year":2019,"cited_by_count":2},{"year":2018,"cited_by_count":1}],"updated_date":"2026-04-04T16:13:02.066488","created_date":"2025-10-10T00:00:00"}
