{"id":"https://openalex.org/W6925336757","doi":"https://doi.org/10.18420/inf2022_07","title":"A frequentist estimation of duplicate probability as a baseline for person identification from image and video material using anthropometric measurements","display_name":"A frequentist estimation of duplicate probability as a baseline for person identification from image and video material using anthropometric measurements","publication_year":2022,"publication_date":"2022-01-01","ids":{"openalex":"https://openalex.org/W6925336757","doi":"https://doi.org/10.18420/inf2022_07"},"language":"en","primary_location":{"id":"doi:10.18420/inf2022_07","is_oa":true,"landing_page_url":"https://doi.org/10.18420/inf2022_07","pdf_url":null,"source":{"id":"https://openalex.org/S7407052918","display_name":"Gesellschaft f\u00fcr Informatik (GI)","issn_l":null,"issn":[],"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"article-journal"},"type":"article","indexed_in":["datacite"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://doi.org/10.18420/inf2022_07","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":null,"display_name":"Heinke, Florian","orcid":null},"institutions":[],"countries":[],"is_corresponding":true,"raw_author_name":"Heinke, Florian","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"middle","author":{"id":null,"display_name":"Heuschkel, Marie-Luise","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Heuschkel, Marie-Luise","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"last","author":{"id":null,"display_name":"Labudde, Dirk","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Labudde, Dirk","raw_affiliation_strings":[],"affiliations":[]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.18779343,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":97,"max":99},"biblio":{"volume":null,"issue":null,"first_page":null,"last_page":null},"is_retracted":false,"is_paratext":false,"is_xpac":true,"primary_topic":{"id":"https://openalex.org/T10857","display_name":"Advanced Electron Microscopy Techniques and Applications","score":0.10350000113248825,"subfield":{"id":"https://openalex.org/subfields/1315","display_name":"Structural 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/T10857","display_name":"Advanced Electron Microscopy Techniques and Applications","score":0.10350000113248825,"subfield":{"id":"https://openalex.org/subfields/1315","display_name":"Structural 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/T10290","display_name":"Pregnancy and preeclampsia studies","score":0.02290000021457672,"subfield":{"id":"https://openalex.org/subfields/2729","display_name":"Obstetrics and Gynecology"},"field":{"id":"https://openalex.org/fields/27","display_name":"Medicine"},"domain":{"id":"https://openalex.org/domains/4","display_name":"Health Sciences"}},{"id":"https://openalex.org/T11290","display_name":"Preterm Birth and Chorioamnionitis","score":0.02290000021457672,"subfield":{"id":"https://openalex.org/subfields/2713","display_name":"Epidemiology"},"field":{"id":"https://openalex.org/fields/27","display_name":"Medicine"},"domain":{"id":"https://openalex.org/domains/4","display_name":"Health Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/frequentist-inference","display_name":"Frequentist inference","score":0.8519999980926514},{"id":"https://openalex.org/keywords/kernel-density-estimation","display_name":"Kernel density estimation","score":0.5867999792098999},{"id":"https://openalex.org/keywords/identification","display_name":"Identification (biology)","score":0.579800009727478},{"id":"https://openalex.org/keywords/biometrics","display_name":"Biometrics","score":0.571399986743927},{"id":"https://openalex.org/keywords/usability","display_name":"Usability","score":0.49559998512268066},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.4185999929904938},{"id":"https://openalex.org/keywords/kernel","display_name":"Kernel (algebra)","score":0.41449999809265137},{"id":"https://openalex.org/keywords/bayesian-probability","display_name":"Bayesian probability","score":0.385699987411499},{"id":"https://openalex.org/keywords/anthropometry","display_name":"Anthropometry","score":0.37540000677108765}],"concepts":[{"id":"https://openalex.org/C162376815","wikidata":"https://www.wikidata.org/wiki/Q2158281","display_name":"Frequentist inference","level":4,"score":0.8519999980926514},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6233000159263611},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5949000120162964},{"id":"https://openalex.org/C71134354","wikidata":"https://www.wikidata.org/wiki/Q458825","display_name":"Kernel density estimation","level":3,"score":0.5867999792098999},{"id":"https://openalex.org/C116834253","wikidata":"https://www.wikidata.org/wiki/Q2039217","display_name":"Identification (biology)","level":2,"score":0.579800009727478},{"id":"https://openalex.org/C184297639","wikidata":"https://www.wikidata.org/wiki/Q177765","display_name":"Biometrics","level":2,"score":0.571399986743927},{"id":"https://openalex.org/C170130773","wikidata":"https://www.wikidata.org/wiki/Q216378","display_name":"Usability","level":2,"score":0.49559998512268066},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.4185999929904938},{"id":"https://openalex.org/C74193536","wikidata":"https://www.wikidata.org/wiki/Q574844","display_name":"Kernel (algebra)","level":2,"score":0.41449999809265137},{"id":"https://openalex.org/C107673813","wikidata":"https://www.wikidata.org/wiki/Q812534","display_name":"Bayesian probability","level":2,"score":0.385699987411499},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.3808000087738037},{"id":"https://openalex.org/C61427482","wikidata":"https://www.wikidata.org/wiki/Q6656244","display_name":"Anthropometry","level":2,"score":0.37540000677108765},{"id":"https://openalex.org/C96250715","wikidata":"https://www.wikidata.org/wiki/Q965330","display_name":"Estimation","level":2,"score":0.3666999936103821},{"id":"https://openalex.org/C75455068","wikidata":"https://www.wikidata.org/wiki/Q1455566","display_name":"Frequentist probability","level":3,"score":0.35830000042915344},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.35499998927116394},{"id":"https://openalex.org/C12725497","wikidata":"https://www.wikidata.org/wiki/Q810247","display_name":"Baseline (sea)","level":2,"score":0.3549000024795532},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3456000089645386},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.32109999656677246},{"id":"https://openalex.org/C197096303","wikidata":"https://www.wikidata.org/wiki/Q869887","display_name":"Probability mass function","level":3,"score":0.31940001249313354},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.30250000953674316},{"id":"https://openalex.org/C207201462","wikidata":"https://www.wikidata.org/wiki/Q182505","display_name":"Bayes' theorem","level":3,"score":0.30230000615119934},{"id":"https://openalex.org/C197055811","wikidata":"https://www.wikidata.org/wiki/Q207522","display_name":"Probability density function","level":2,"score":0.287200003862381},{"id":"https://openalex.org/C149441793","wikidata":"https://www.wikidata.org/wiki/Q200726","display_name":"Probability distribution","level":2,"score":0.2824000120162964},{"id":"https://openalex.org/C106934330","wikidata":"https://www.wikidata.org/wiki/Q1971873","display_name":"Trait","level":2,"score":0.2770000100135803},{"id":"https://openalex.org/C2780732888","wikidata":"https://www.wikidata.org/wiki/Q2314618","display_name":"Forensic identification","level":2,"score":0.26750001311302185},{"id":"https://openalex.org/C2776291640","wikidata":"https://www.wikidata.org/wiki/Q2912517","display_name":"Value (mathematics)","level":2,"score":0.2646999955177307},{"id":"https://openalex.org/C96608239","wikidata":"https://www.wikidata.org/wiki/Q1199823","display_name":"Statistical power","level":2,"score":0.2567000091075897}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.18420/inf2022_07","is_oa":true,"landing_page_url":"https://doi.org/10.18420/inf2022_07","pdf_url":null,"source":{"id":"https://openalex.org/S7407052918","display_name":"Gesellschaft f\u00fcr Informatik (GI)","issn_l":null,"issn":[],"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"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-journal"}],"best_oa_location":{"id":"doi:10.18420/inf2022_07","is_oa":true,"landing_page_url":"https://doi.org/10.18420/inf2022_07","pdf_url":null,"source":{"id":"https://openalex.org/S7407052918","display_name":"Gesellschaft f\u00fcr Informatik (GI)","issn_l":null,"issn":[],"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"article-journal"},"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/10","score":0.8279147148132324,"display_name":"Reduced inequalities"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":[],"abstract_inverted_index":{"Video":[0],"and":[1,82,118],"image":[2],"material":[3],"is":[4,16,28,32,48,93],"becoming":[5],"increasingly":[6],"ubiquitous":[7],"thus":[8],"its":[9,76],"potential":[10],"as":[11,43],"evidence":[12,51],"in":[13,70,87,138],"forensic":[14,89],"investigations":[15],"growing.":[17],"Once":[18],"faces":[19],"are":[20],"hidden":[21],"however,":[22],"the":[23,61,79,88,133,139],"value":[24],"of":[25,63,85,115,128,141],"surveillance":[26],"footage":[27],"restricted":[29],"unless":[30],"there":[31,64],"another":[33],"biometric":[34],"trait":[35],"that":[36,68],"can":[37],"be":[38,137],"observed":[39],"by":[40],"camera":[41],"such":[42],"linear":[44],"body":[45,54],"measurements.":[46,122],"There":[47],"much":[49,57],"biological":[50],"for":[52,78,97],"human":[53],"proportions":[55,73],"exhibiting":[56],"individual":[58],"variation.":[59],"Nevertheless,":[60],"probability":[62,99,135],"being":[65],"two":[66],"individuals":[67,117],"match":[69],"their":[71,119],"respective":[72,120],"ultimately":[74],"determines":[75],"usability":[77],"assignment,":[80],"exclusion":[81],"even":[83],"identification":[84],"persons":[86],"domain.":[90],"This":[91],"work":[92],"concerned":[94],"with":[95],"approaches":[96],"duplicate":[98,134],"estimations":[100,127],"derived":[101],"from":[102],"anthropometric":[103,121],"measures.":[104],"Here,":[105],"we":[106,131],"present":[107],"a":[108,113],"novel":[109],"frequentist":[110],"estimation":[111],"using":[112],"dataset":[114],"340":[116],"Drawing":[123],"on":[124],"density":[125],"kernel":[126],"measurement":[129],"dissimilarity,":[130],"propose":[132],"to":[136,143],"order":[140],"10^\u221215":[142],"10^\u22128.":[144]},"counts_by_year":[{"year":2026,"cited_by_count":1}],"updated_date":"2026-02-26T08:16:20.718346","created_date":"2025-10-10T00:00:00"}