{"id":"https://openalex.org/W1586848303","doi":"https://doi.org/10.3217/jucs-016-06-0921","title":"A General Framework for Multi-Human Tracking using Kalman Filter and Fast Mean Shift Algorithms","display_name":"A General Framework for Multi-Human Tracking using Kalman Filter and Fast Mean Shift Algorithms","publication_year":2020,"publication_date":"2020-04-07","ids":{"openalex":"https://openalex.org/W1586848303","doi":"https://doi.org/10.3217/jucs-016-06-0921","mag":"1586848303"},"language":"en","primary_location":{"id":"mag:1586848303","is_oa":true,"landing_page_url":"https://zenodo.org/record/7001167","pdf_url":null,"source":{"id":"https://openalex.org/S4306400562","display_name":"Zenodo (CERN European Organization for Nuclear Research)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I67311998","host_organization_name":"European Organization for Nuclear Research","host_organization_lineage":["https://openalex.org/I67311998"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Zenodo (CERN European Organization for Nuclear Research)","raw_type":null},"type":"article","indexed_in":["datacite"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://zenodo.org/record/7001167","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5006397674","display_name":"Ahmed Ali","orcid":"https://orcid.org/0000-0002-2645-7258"},"institutions":[{"id":"https://openalex.org/I922474255","display_name":"Tokushima University","ror":"https://ror.org/044vy1d05","country_code":"JP","type":"education","lineage":["https://openalex.org/I922474255"]}],"countries":["JP"],"is_corresponding":true,"raw_author_name":"Ahmed Ali","raw_affiliation_strings":["Univ. of Tokushima"],"affiliations":[{"raw_affiliation_string":"Univ. of Tokushima","institution_ids":["https://openalex.org/I922474255"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5072689569","display_name":"Kenji Terada","orcid":"https://orcid.org/0009-0000-1273-2397"},"institutions":[{"id":"https://openalex.org/I922474255","display_name":"Tokushima University","ror":"https://ror.org/044vy1d05","country_code":"JP","type":"education","lineage":["https://openalex.org/I922474255"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Kenji Terada","raw_affiliation_strings":["Univ. of Tokushima"],"affiliations":[{"raw_affiliation_string":"Univ. of Tokushima","institution_ids":["https://openalex.org/I922474255"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5006397674"],"corresponding_institution_ids":["https://openalex.org/I922474255"],"apc_list":null,"apc_paid":null,"fwci":0.2931,"has_fulltext":false,"cited_by_count":10,"citation_normalized_percentile":{"value":0.53633125,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":96},"biblio":{"volume":null,"issue":null,"first_page":null,"last_page":null},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10331","display_name":"Video Surveillance and Tracking Methods","score":0.9998000264167786,"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":0.9998000264167786,"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/T14257","display_name":"Advanced Measurement and Detection Methods","score":0.9764000177383423,"subfield":{"id":"https://openalex.org/subfields/2208","display_name":"Electrical and Electronic 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":0.9732999801635742,"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/kalman-filter","display_name":"Kalman filter","score":0.789076566696167},{"id":"https://openalex.org/keywords/mean-shift","display_name":"Mean-shift","score":0.77174973487854},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5856510996818542},{"id":"https://openalex.org/keywords/tracking","display_name":"Tracking (education)","score":0.52522873878479},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.49948859214782715},{"id":"https://openalex.org/keywords/moving-horizon-estimation","display_name":"Moving horizon estimation","score":0.4640229344367981},{"id":"https://openalex.org/keywords/fast-kalman-filter","display_name":"Fast Kalman filter","score":0.46233245730400085},{"id":"https://openalex.org/keywords/extended-kalman-filter","display_name":"Extended Kalman filter","score":0.43303364515304565},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4275297522544861},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.23117679357528687},{"id":"https://openalex.org/keywords/psychology","display_name":"Psychology","score":0.06181326508522034}],"concepts":[{"id":"https://openalex.org/C157286648","wikidata":"https://www.wikidata.org/wiki/Q846780","display_name":"Kalman filter","level":2,"score":0.789076566696167},{"id":"https://openalex.org/C48548287","wikidata":"https://www.wikidata.org/wiki/Q6803557","display_name":"Mean-shift","level":3,"score":0.77174973487854},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5856510996818542},{"id":"https://openalex.org/C2775936607","wikidata":"https://www.wikidata.org/wiki/Q466845","display_name":"Tracking (education)","level":2,"score":0.52522873878479},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.49948859214782715},{"id":"https://openalex.org/C50050547","wikidata":"https://www.wikidata.org/wiki/Q6927137","display_name":"Moving horizon estimation","level":4,"score":0.4640229344367981},{"id":"https://openalex.org/C150679823","wikidata":"https://www.wikidata.org/wiki/Q5436946","display_name":"Fast Kalman filter","level":4,"score":0.46233245730400085},{"id":"https://openalex.org/C206833254","wikidata":"https://www.wikidata.org/wiki/Q5421817","display_name":"Extended Kalman filter","level":3,"score":0.43303364515304565},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4275297522544861},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.23117679357528687},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.06181326508522034},{"id":"https://openalex.org/C19417346","wikidata":"https://www.wikidata.org/wiki/Q7922","display_name":"Pedagogy","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"mag:1586848303","is_oa":true,"landing_page_url":"https://zenodo.org/record/7001167","pdf_url":null,"source":{"id":"https://openalex.org/S4306400562","display_name":"Zenodo (CERN European Organization for Nuclear Research)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I67311998","host_organization_name":"European Organization for Nuclear Research","host_organization_lineage":["https://openalex.org/I67311998"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Zenodo (CERN European Organization for Nuclear Research)","raw_type":null},{"id":"doi:10.3217/jucs-016-06-0921","is_oa":true,"landing_page_url":"https://doi.org/10.3217/jucs-016-06-0921","pdf_url":null,"source":{"id":"https://openalex.org/S4306400660","display_name":"TUGraz OPEN Library (Graz University of Technology)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I4092182","host_organization_name":"Graz University of Technology","host_organization_lineage":["https://openalex.org/I4092182"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":null,"raw_source_name":null,"raw_type":"article"}],"best_oa_location":{"id":"mag:1586848303","is_oa":true,"landing_page_url":"https://zenodo.org/record/7001167","pdf_url":null,"source":{"id":"https://openalex.org/S4306400562","display_name":"Zenodo (CERN European Organization for Nuclear Research)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I67311998","host_organization_name":"European Organization for Nuclear Research","host_organization_lineage":["https://openalex.org/I67311998"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Zenodo (CERN European Organization for Nuclear Research)","raw_type":null},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":21,"referenced_works":["https://openalex.org/W80618319","https://openalex.org/W171781290","https://openalex.org/W1559679762","https://openalex.org/W1580963329","https://openalex.org/W1989421500","https://openalex.org/W1994304612","https://openalex.org/W2037657648","https://openalex.org/W2067191022","https://openalex.org/W2096343094","https://openalex.org/W2100229776","https://openalex.org/W2102625004","https://openalex.org/W2104706722","https://openalex.org/W2107142957","https://openalex.org/W2112276444","https://openalex.org/W2116629447","https://openalex.org/W2125199814","https://openalex.org/W2127682984","https://openalex.org/W2138311529","https://openalex.org/W2143425433","https://openalex.org/W2164598857","https://openalex.org/W2571050459"],"related_works":["https://openalex.org/W2103062922","https://openalex.org/W1506303183","https://openalex.org/W2182059946","https://openalex.org/W2369564630","https://openalex.org/W2363340733","https://openalex.org/W2152504883","https://openalex.org/W4313056238","https://openalex.org/W4252648412","https://openalex.org/W4231284281","https://openalex.org/W2089814558"],"abstract_inverted_index":{"The":[0,27,79],"task":[1],"of":[2,7,30,101],"reliable":[3],"detection":[4],"and":[5,92,112],"tracking":[6,44],"multiple":[8],"objects":[9,67],"becomes":[10],"highly":[11],"complex":[12],"for":[13,24,38,45],"crowded":[14],"scenarios.":[15],"In":[16],"this":[17],"paper,":[18],"a":[19,72],"robust":[20,84],"framework":[21],"is":[22,33],"presented":[23],"multi-Human":[25],"tracking.":[26],"key":[28],"contribution":[29],"the":[31,46,60,83],"work":[32],"to":[34,42,53,86],"use":[35],"fast":[36,73],"calculation":[37],"mean":[39,75],"shift":[40,76],"algorithm":[41],"perform":[43],"cases":[47],"when":[48],"Kalman":[49],"filter":[50],"fails":[51],"due":[52],"measurement":[54],"error.":[55],"Local":[56],"density":[57],"maxima":[58],"in":[59,93,95],"difference":[61],"image":[62,110],"-":[63,68],"usually":[64],"representing":[65],"moving":[66,88],"are":[69],"outlined":[70],"by":[71,109],"non-parametric":[74],"clustering":[77],"procedure.":[78],"proposed":[80],"approach":[81],"has":[82],"ability":[85],"track":[87],"objects,":[89],"both":[90],"separately":[91],"groups,":[94],"consecutive":[96],"frames":[97],"under":[98],"some":[99],"kinds":[100],"difficulties":[102],"such":[103],"as":[104],"rapid":[105],"appearance":[106],"changes":[107],"caused":[108],"noise":[111],"occlusion.":[113]},"counts_by_year":[{"year":2022,"cited_by_count":1},{"year":2020,"cited_by_count":2},{"year":2017,"cited_by_count":1},{"year":2015,"cited_by_count":2},{"year":2014,"cited_by_count":1},{"year":2013,"cited_by_count":2}],"updated_date":"2025-11-06T06:51:31.235846","created_date":"2025-10-10T00:00:00"}
