{"id":"https://openalex.org/W4386323325","doi":"https://doi.org/10.1109/isie51358.2023.10228087","title":"Online Object Tracking on Multiple Cameras with Completely Overlapping Views","display_name":"Online Object Tracking on Multiple Cameras with Completely Overlapping Views","publication_year":2023,"publication_date":"2023-06-19","ids":{"openalex":"https://openalex.org/W4386323325","doi":"https://doi.org/10.1109/isie51358.2023.10228087"},"language":"en","primary_location":{"id":"doi:10.1109/isie51358.2023.10228087","is_oa":false,"landing_page_url":"https://doi.org/10.1109/isie51358.2023.10228087","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2023 IEEE 32nd International Symposium on Industrial Electronics (ISIE)","raw_type":"proceedings-article"},"type":"article","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/A5066177614","display_name":"Jan-Philip Richter","orcid":null},"institutions":[{"id":"https://openalex.org/I4210098062","display_name":"Fraunhofer Institute for Material Flow and Logistics","ror":"https://ror.org/00z7dje19","country_code":"DE","type":"facility","lineage":["https://openalex.org/I4210098062","https://openalex.org/I4923324"]}],"countries":["DE"],"is_corresponding":true,"raw_author_name":"Jan-Philip Richter","raw_affiliation_strings":["Fraunhofer IML,Dortmund,Germany","Fraunhofer IML, Dortmund, Germany"],"affiliations":[{"raw_affiliation_string":"Fraunhofer IML,Dortmund,Germany","institution_ids":["https://openalex.org/I4210098062"]},{"raw_affiliation_string":"Fraunhofer IML, Dortmund, Germany","institution_ids":["https://openalex.org/I4210098062"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5054614931","display_name":"Sebastian Flores","orcid":null},"institutions":[{"id":"https://openalex.org/I4210098062","display_name":"Fraunhofer Institute for Material Flow and Logistics","ror":"https://ror.org/00z7dje19","country_code":"DE","type":"facility","lineage":["https://openalex.org/I4210098062","https://openalex.org/I4923324"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Sebastian Flores","raw_affiliation_strings":["Fraunhofer IML,Dortmund,Germany","Fraunhofer IML, Dortmund, Germany"],"affiliations":[{"raw_affiliation_string":"Fraunhofer IML,Dortmund,Germany","institution_ids":["https://openalex.org/I4210098062"]},{"raw_affiliation_string":"Fraunhofer IML, Dortmund, Germany","institution_ids":["https://openalex.org/I4210098062"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5044534853","display_name":"Oliver Urbann","orcid":"https://orcid.org/0000-0001-8596-9133"},"institutions":[{"id":"https://openalex.org/I4210098062","display_name":"Fraunhofer Institute for Material Flow and Logistics","ror":"https://ror.org/00z7dje19","country_code":"DE","type":"facility","lineage":["https://openalex.org/I4210098062","https://openalex.org/I4923324"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Oliver Urbann","raw_affiliation_strings":["Fraunhofer IML,Dortmund,Germany","Fraunhofer IML, Dortmund, Germany"],"affiliations":[{"raw_affiliation_string":"Fraunhofer IML,Dortmund,Germany","institution_ids":["https://openalex.org/I4210098062"]},{"raw_affiliation_string":"Fraunhofer IML, Dortmund, Germany","institution_ids":["https://openalex.org/I4210098062"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5066177614"],"corresponding_institution_ids":["https://openalex.org/I4210098062"],"apc_list":null,"apc_paid":null,"fwci":0.123,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.40924937,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":91,"max":95},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"7"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10331","display_name":"Video Surveillance and Tracking Methods","score":0.9994000196456909,"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":0.9994000196456909,"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/T10627","display_name":"Advanced Image and Video Retrieval Techniques","score":0.9725000262260437,"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":0.9580000042915344,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7538366913795471},{"id":"https://openalex.org/keywords/bipartite-graph","display_name":"Bipartite graph","score":0.6623135209083557},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.6285819411277771},{"id":"https://openalex.org/keywords/tracking","display_name":"Tracking (education)","score":0.6101071238517761},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5956294536590576},{"id":"https://openalex.org/keywords/kalman-filter","display_name":"Kalman filter","score":0.5766779184341431},{"id":"https://openalex.org/keywords/video-tracking","display_name":"Video tracking","score":0.5470085144042969},{"id":"https://openalex.org/keywords/domain","display_name":"Domain (mathematical analysis)","score":0.4902806580066681},{"id":"https://openalex.org/keywords/cluster-analysis","display_name":"Cluster analysis","score":0.4745909869670868},{"id":"https://openalex.org/keywords/object","display_name":"Object (grammar)","score":0.44182541966438293},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.1666015088558197},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.15793347358703613}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7538366913795471},{"id":"https://openalex.org/C197657726","wikidata":"https://www.wikidata.org/wiki/Q174733","display_name":"Bipartite graph","level":3,"score":0.6623135209083557},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.6285819411277771},{"id":"https://openalex.org/C2775936607","wikidata":"https://www.wikidata.org/wiki/Q466845","display_name":"Tracking (education)","level":2,"score":0.6101071238517761},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5956294536590576},{"id":"https://openalex.org/C157286648","wikidata":"https://www.wikidata.org/wiki/Q846780","display_name":"Kalman filter","level":2,"score":0.5766779184341431},{"id":"https://openalex.org/C202474056","wikidata":"https://www.wikidata.org/wiki/Q1931635","display_name":"Video tracking","level":3,"score":0.5470085144042969},{"id":"https://openalex.org/C36503486","wikidata":"https://www.wikidata.org/wiki/Q11235244","display_name":"Domain (mathematical analysis)","level":2,"score":0.4902806580066681},{"id":"https://openalex.org/C73555534","wikidata":"https://www.wikidata.org/wiki/Q622825","display_name":"Cluster analysis","level":2,"score":0.4745909869670868},{"id":"https://openalex.org/C2781238097","wikidata":"https://www.wikidata.org/wiki/Q175026","display_name":"Object (grammar)","level":2,"score":0.44182541966438293},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.1666015088558197},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.15793347358703613},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.0},{"id":"https://openalex.org/C132525143","wikidata":"https://www.wikidata.org/wiki/Q141488","display_name":"Graph","level":2,"score":0.0},{"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}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/isie51358.2023.10228087","is_oa":false,"landing_page_url":"https://doi.org/10.1109/isie51358.2023.10228087","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2023 IEEE 32nd International Symposium on Industrial Electronics (ISIE)","raw_type":"proceedings-article"},{"id":"pmh:oai:publica.fraunhofer.de:publica/452044","is_oa":false,"landing_page_url":"https://publica.fraunhofer.de/handle/publica/452044","pdf_url":null,"source":{"id":"https://openalex.org/S4306400318","display_name":"Fraunhofer-Publica (Fraunhofer-Gesellschaft)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I4923324","host_organization_name":"Fraunhofer-Gesellschaft","host_organization_lineage":["https://openalex.org/I4923324"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"conference paper"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[{"id":"https://openalex.org/F4320311687","display_name":"Ministry of Education","ror":"https://ror.org/03m01yf64"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":45,"referenced_works":["https://openalex.org/W71666767","https://openalex.org/W1528063097","https://openalex.org/W1932380673","https://openalex.org/W1994380564","https://openalex.org/W2016931466","https://openalex.org/W2120286803","https://openalex.org/W2130375215","https://openalex.org/W2137206230","https://openalex.org/W2158634074","https://openalex.org/W2163385949","https://openalex.org/W2166324937","https://openalex.org/W2171243491","https://openalex.org/W2346969910","https://openalex.org/W2519136515","https://openalex.org/W2602492465","https://openalex.org/W2758895866","https://openalex.org/W2767620861","https://openalex.org/W2779160359","https://openalex.org/W2790558698","https://openalex.org/W2893929991","https://openalex.org/W2953506585","https://openalex.org/W2954007244","https://openalex.org/W2965843888","https://openalex.org/W2986867339","https://openalex.org/W2998167787","https://openalex.org/W3001131901","https://openalex.org/W3012471638","https://openalex.org/W3018177082","https://openalex.org/W3036196915","https://openalex.org/W3041796216","https://openalex.org/W3127967587","https://openalex.org/W3128721666","https://openalex.org/W3172614122","https://openalex.org/W3184439416","https://openalex.org/W4312350649","https://openalex.org/W6602873311","https://openalex.org/W6679473254","https://openalex.org/W6744552331","https://openalex.org/W6747032639","https://openalex.org/W6764853591","https://openalex.org/W6765542583","https://openalex.org/W6789746684","https://openalex.org/W6796530093","https://openalex.org/W6798838024","https://openalex.org/W6847981926"],"related_works":["https://openalex.org/W2371352078","https://openalex.org/W4285271403","https://openalex.org/W2542007731","https://openalex.org/W2968379562","https://openalex.org/W2091015105","https://openalex.org/W4388689193","https://openalex.org/W2110899030","https://openalex.org/W29633852","https://openalex.org/W2985362983","https://openalex.org/W4327670844"],"abstract_inverted_index":{"This":[0,77],"paper":[1],"presents":[2],"a":[3,10],"tracking":[4,34],"solution":[5,92],"for":[6],"multiple":[7],"objects":[8],"in":[9,36,40,67],"multi":[11],"camera":[12],"setup":[13],"with":[14,64,71],"overlapping":[15,38],"fields":[16],"of":[17,42],"view.":[18],"We":[19],"utilize":[20],"this":[21],"not":[22],"only":[23],"to":[24,32,55,93],"extend":[25],"the":[26,37,51,56,94,106,117],"overall":[27],"operational":[28],"area":[29],"but":[30],"also":[31],"improve":[33],"accuracy":[35],"areas":[39],"case":[41],"occlusions":[43],"and":[44,70,84,87,105],"other":[45],"practical":[46],"issues.":[47],"Our":[48],"method":[49,114],"lifts":[50],"usual":[52],"bipartite":[53,107],"approach":[54],"multipartite":[57],"domain":[58],"using":[59],"GMMCP":[60],"which":[61],"matches":[62],"detections":[63],"their":[65,72],"counterparts":[66],"all":[68],"cameras":[69],"corresponding":[73],"Kalman":[74],"based":[75,115],"track.":[76],"has":[78],"two":[79],"important":[80],"properties,":[81],"namely":[82],"online":[83],"real-time":[85],"capability,":[86],"it":[88],"generates":[89],"an":[90,112],"optimal":[91],"original":[95],"problem":[96],"without":[97],"simplifications":[98],"or":[99],"approximations.":[100],"It":[101],"thus":[102],"outperforms":[103],"clustering":[104],"methods":[108],"as":[109,111],"well":[110],"offline":[113],"on":[116],"k-shortest":[118],"path":[119],"algorithm.":[120]},"counts_by_year":[{"year":2025,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
