{"id":"https://openalex.org/W2014055207","doi":"https://doi.org/10.1109/mfi.2010.5604456","title":"Tracking a minimum bounding rectangle based on extreme value theory","display_name":"Tracking a minimum bounding rectangle based on extreme value theory","publication_year":2010,"publication_date":"2010-09-01","ids":{"openalex":"https://openalex.org/W2014055207","doi":"https://doi.org/10.1109/mfi.2010.5604456","mag":"2014055207"},"language":"en","primary_location":{"id":"doi:10.1109/mfi.2010.5604456","is_oa":false,"landing_page_url":"https://doi.org/10.1109/mfi.2010.5604456","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2010 IEEE Conference on Multisensor Fusion and Integration","raw_type":"proceedings-article"},"type":"conference-paper","indexed_in":["crossref","datacite"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://doi.org/10.5445/ir/1000035041","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5053963755","display_name":"Marcus Baum","orcid":"https://orcid.org/0000-0002-0953-9032"},"institutions":[{"id":"https://openalex.org/I102335020","display_name":"Karlsruhe Institute of Technology","ror":"https://ror.org/04t3en479","country_code":"DE","type":"education","lineage":["https://openalex.org/I102335020","https://openalex.org/I1305996414"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Marcus Baum","raw_affiliation_strings":["Intelligent Sensor-Actuator-Systems Laboratory, Institute of Anthropomatics, Karlsruhe Institute of Technology, Germany","[Intelligent Sensor-Actuator-Systems Laboratory (ISAS), Institute for Anthropomatics, Karlsruhe Institute of Technology (KIT), Germany]"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Intelligent Sensor-Actuator-Systems Laboratory, Institute of Anthropomatics, Karlsruhe Institute of Technology, Germany","institution_ids":["https://openalex.org/I102335020"]},{"raw_affiliation_string":"[Intelligent Sensor-Actuator-Systems Laboratory (ISAS), Institute for Anthropomatics, Karlsruhe Institute of Technology (KIT), Germany]","institution_ids":["https://openalex.org/I102335020"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5055331421","display_name":"Uwe D. Hanebeck","orcid":"https://orcid.org/0000-0001-9870-2331"},"institutions":[{"id":"https://openalex.org/I102335020","display_name":"Karlsruhe Institute of Technology","ror":"https://ror.org/04t3en479","country_code":"DE","type":"education","lineage":["https://openalex.org/I102335020","https://openalex.org/I1305996414"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Uwe D. Hanebeck","raw_affiliation_strings":["Intelligent Sensor-Actuator-Systems Laboratory, Institute of Anthropomatics, Karlsruhe Institute of Technology, Germany","[Intelligent Sensor-Actuator-Systems Laboratory (ISAS), Institute for Anthropomatics, Karlsruhe Institute of Technology (KIT), Germany]"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Intelligent Sensor-Actuator-Systems Laboratory, Institute of Anthropomatics, Karlsruhe Institute of Technology, Germany","institution_ids":["https://openalex.org/I102335020"]},{"raw_affiliation_string":"[Intelligent Sensor-Actuator-Systems Laboratory (ISAS), Institute for Anthropomatics, Karlsruhe Institute of Technology (KIT), Germany]","institution_ids":["https://openalex.org/I102335020"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I102335020"],"apc_list":null,"apc_paid":null,"fwci":0.819,"has_fulltext":false,"cited_by_count":8,"citation_normalized_percentile":{"value":0.70830364,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":94},"biblio":{"volume":"6","issue":null,"first_page":"56","last_page":"61"},"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":0.9990000128746033,"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":0.9990000128746033,"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/T14257","display_name":"Advanced Measurement and Detection Methods","score":0.9750000238418579,"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/T12549","display_name":"Image and Object Detection Techniques","score":0.9495000243186951,"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/bounding-overwatch","display_name":"Bounding overwatch","score":0.761609673500061},{"id":"https://openalex.org/keywords/rectangle","display_name":"Rectangle","score":0.7005485892295837},{"id":"https://openalex.org/keywords/estimator","display_name":"Estimator","score":0.6868442296981812},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.5380114912986755},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.5044668912887573},{"id":"https://openalex.org/keywords/bayesian-probability","display_name":"Bayesian probability","score":0.45507800579071045},{"id":"https://openalex.org/keywords/noise","display_name":"Noise (video)","score":0.4444792866706848},{"id":"https://openalex.org/keywords/gaussian","display_name":"Gaussian","score":0.4400206208229065},{"id":"https://openalex.org/keywords/gaussian-noise","display_name":"Gaussian noise","score":0.43264174461364746},{"id":"https://openalex.org/keywords/point","display_name":"Point (geometry)","score":0.424791544675827},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.41946983337402344},{"id":"https://openalex.org/keywords/minimum-bounding-box","display_name":"Minimum bounding box","score":0.4167027473449707},{"id":"https://openalex.org/keywords/mathematical-optimization","display_name":"Mathematical optimization","score":0.41620171070098877},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.29334932565689087},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.21359768509864807},{"id":"https://openalex.org/keywords/geometry","display_name":"Geometry","score":0.10790014266967773}],"concepts":[{"id":"https://openalex.org/C63584917","wikidata":"https://www.wikidata.org/wiki/Q333286","display_name":"Bounding overwatch","level":2,"score":0.761609673500061},{"id":"https://openalex.org/C2781302577","wikidata":"https://www.wikidata.org/wiki/Q209","display_name":"Rectangle","level":2,"score":0.7005485892295837},{"id":"https://openalex.org/C185429906","wikidata":"https://www.wikidata.org/wiki/Q1130160","display_name":"Estimator","level":2,"score":0.6868442296981812},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.5380114912986755},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.5044668912887573},{"id":"https://openalex.org/C107673813","wikidata":"https://www.wikidata.org/wiki/Q812534","display_name":"Bayesian probability","level":2,"score":0.45507800579071045},{"id":"https://openalex.org/C99498987","wikidata":"https://www.wikidata.org/wiki/Q2210247","display_name":"Noise (video)","level":3,"score":0.4444792866706848},{"id":"https://openalex.org/C163716315","wikidata":"https://www.wikidata.org/wiki/Q901177","display_name":"Gaussian","level":2,"score":0.4400206208229065},{"id":"https://openalex.org/C4199805","wikidata":"https://www.wikidata.org/wiki/Q2725903","display_name":"Gaussian noise","level":2,"score":0.43264174461364746},{"id":"https://openalex.org/C28719098","wikidata":"https://www.wikidata.org/wiki/Q44946","display_name":"Point (geometry)","level":2,"score":0.424791544675827},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.41946983337402344},{"id":"https://openalex.org/C147037132","wikidata":"https://www.wikidata.org/wiki/Q6865426","display_name":"Minimum bounding box","level":3,"score":0.4167027473449707},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.41620171070098877},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.29334932565689087},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.21359768509864807},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.10790014266967773},{"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/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0}],"mesh":[],"locations_count":3,"locations":[{"id":"doi:10.1109/mfi.2010.5604456","is_oa":false,"landing_page_url":"https://doi.org/10.1109/mfi.2010.5604456","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2010 IEEE Conference on Multisensor Fusion and Integration","raw_type":"proceedings-article"},{"id":"pmh:oai:EVASTAR-Karlsruhe.de:1000035041","is_oa":false,"landing_page_url":"https://publikationen.bibliothek.kit.edu/1000035041","pdf_url":null,"source":{"id":"https://openalex.org/S4306401992","display_name":"Repository KITopen (Karlsruhe Institute of Technology)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I102335020","host_organization_name":"Karlsruhe Institute of Technology","host_organization_lineage":["https://openalex.org/I102335020"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"","raw_type":"doc-type:conferenceObject"},{"id":"doi:10.5445/ir/1000035041","is_oa":true,"landing_page_url":"https://doi.org/10.5445/ir/1000035041","pdf_url":null,"source":{"id":"https://openalex.org/S7407052948","display_name":"KITopen","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I102335020","host_organization_name":"Karlsruhe Institute of Technology","host_organization_lineage":["https://openalex.org/I102335020"],"host_organization_lineage_names":[],"type":"repository"},"license":"other-oa","license_id":"https://openalex.org/licenses/other-oa","version":null,"is_accepted":false,"is_published":null,"raw_source_name":null,"raw_type":"article-journal"}],"best_oa_location":{"id":"doi:10.5445/ir/1000035041","is_oa":true,"landing_page_url":"https://doi.org/10.5445/ir/1000035041","pdf_url":null,"source":{"id":"https://openalex.org/S7407052948","display_name":"KITopen","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I102335020","host_organization_name":"Karlsruhe Institute of Technology","host_organization_lineage":["https://openalex.org/I102335020"],"host_organization_lineage_names":[],"type":"repository"},"license":"other-oa","license_id":"https://openalex.org/licenses/other-oa","version":null,"is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"article-journal"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":26,"referenced_works":["https://openalex.org/W25200727","https://openalex.org/W411746464","https://openalex.org/W1498464051","https://openalex.org/W1603631609","https://openalex.org/W1974959551","https://openalex.org/W1993235647","https://openalex.org/W2017022358","https://openalex.org/W2058009001","https://openalex.org/W2059671843","https://openalex.org/W2087087613","https://openalex.org/W2091365726","https://openalex.org/W2108517239","https://openalex.org/W2108994455","https://openalex.org/W2113003378","https://openalex.org/W2143799301","https://openalex.org/W2170790908","https://openalex.org/W2178829616","https://openalex.org/W2502254989","https://openalex.org/W2542945574","https://openalex.org/W2790374560","https://openalex.org/W2794413559","https://openalex.org/W2978334827","https://openalex.org/W6601001868","https://openalex.org/W6648473370","https://openalex.org/W6672395575","https://openalex.org/W6681270469"],"related_works":["https://openalex.org/W4237171675","https://openalex.org/W3036286480","https://openalex.org/W4287027631","https://openalex.org/W3192357901","https://openalex.org/W2387360586","https://openalex.org/W2952736415","https://openalex.org/W3209723314","https://openalex.org/W3205398323","https://openalex.org/W2883297582","https://openalex.org/W4390524233"],"abstract_inverted_index":{"In":[0],"this":[1],"paper,":[2],"a":[3,14,47,86],"novel":[4],"Bayesian":[5],"estimator":[6,56],"for":[7,51],"the":[8,52,60,80,90,95,100,103],"minimum":[9,91],"bounding":[10,92],"axis-aligned":[11],"rectangle":[12],"of":[13,62,70,94,102],"point":[15,30,77],"set":[16],"based":[17],"on":[18],"noisy":[19],"measurements":[20],"is":[21,32,41,57,83],"derived.":[22],"Each":[23],"given":[24],"measurement":[25,49],"stems":[26],"from":[27],"an":[28],"unknown":[29],"and":[31,65],"corrupted":[33],"with":[34],"additive":[35],"Gaussian":[36],"noise.":[37],"Extreme":[38],"value":[39],"theory":[40],"applied":[42,58],"in":[43],"order":[44],"to":[45,59,84],"derive":[46],"linear":[48],"equation":[50],"problem.":[53],"The":[54],"new":[55],"problem":[61],"group":[63,74],"target":[64],"extended":[66],"object":[67],"tracking.":[68],"Instead":[69],"estimating":[71],"each":[72],"single":[73],"member":[75],"or":[76],"feature":[78],"explicitly,":[79],"basic":[81],"idea":[82],"track":[85],"summarizing":[87],"shape,":[88],"namely":[89],"rectangle,":[93],"group.":[96],"Simulation":[97],"results":[98],"demonstrate":[99],"feasibility":[101],"estimator.":[104]},"counts_by_year":[{"year":2022,"cited_by_count":1},{"year":2019,"cited_by_count":1},{"year":2017,"cited_by_count":1},{"year":2015,"cited_by_count":1},{"year":2014,"cited_by_count":1},{"year":2013,"cited_by_count":1},{"year":2012,"cited_by_count":1}],"updated_date":"2026-08-13T07:04:57.449891","created_date":"2025-10-10T00:00:00"}
