{"id":"https://openalex.org/W2102532637","doi":"https://doi.org/10.1109/avss.2009.16","title":"A Robust and Efficient Approach for Human Tracking in Multi-camera Systems","display_name":"A Robust and Efficient Approach for Human Tracking in Multi-camera Systems","publication_year":2009,"publication_date":"2009-09-01","ids":{"openalex":"https://openalex.org/W2102532637","doi":"https://doi.org/10.1109/avss.2009.16","mag":"2102532637"},"language":"en","primary_location":{"id":"doi:10.1109/avss.2009.16","is_oa":false,"landing_page_url":"https://doi.org/10.1109/avss.2009.16","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2009 Sixth IEEE International Conference on Advanced Video and Signal Based Surveillance","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref","datacite"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"http://publica.fraunhofer.de/documents/N-115962.html","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5071261610","display_name":"Eduardo Monari","orcid":null},"institutions":[{"id":"https://openalex.org/I162827531","display_name":"Indian Institute of Technology Bombay","ror":"https://ror.org/02qyf5152","country_code":"IN","type":"education","lineage":["https://openalex.org/I162827531"]}],"countries":["IN"],"is_corresponding":true,"raw_author_name":"Eduardo Monari","raw_affiliation_strings":["Inst. for Inf. & Data Process., Fraunhofer IITB, Karlsruhe, Germany"],"affiliations":[{"raw_affiliation_string":"Inst. for Inf. & Data Process., Fraunhofer IITB, Karlsruhe, Germany","institution_ids":["https://openalex.org/I162827531"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5012478017","display_name":"Jochen Maerker","orcid":null},"institutions":[{"id":"https://openalex.org/I162827531","display_name":"Indian Institute of Technology Bombay","ror":"https://ror.org/02qyf5152","country_code":"IN","type":"education","lineage":["https://openalex.org/I162827531"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Jochen Maerker","raw_affiliation_strings":["Inst. for Inf. & Data Process., Fraunhofer IITB, Karlsruhe, Germany"],"affiliations":[{"raw_affiliation_string":"Inst. for Inf. & Data Process., Fraunhofer IITB, Karlsruhe, Germany","institution_ids":["https://openalex.org/I162827531"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5091747480","display_name":"Kristian Kroschel","orcid":null},"institutions":[{"id":"https://openalex.org/I162827531","display_name":"Indian Institute of Technology Bombay","ror":"https://ror.org/02qyf5152","country_code":"IN","type":"education","lineage":["https://openalex.org/I162827531"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Kristian Kroschel","raw_affiliation_strings":["Inst. for Inf. & Data Process., Fraunhofer IITB, Karlsruhe, Germany"],"affiliations":[{"raw_affiliation_string":"Inst. for Inf. & Data Process., Fraunhofer IITB, Karlsruhe, Germany","institution_ids":["https://openalex.org/I162827531"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5071261610"],"corresponding_institution_ids":["https://openalex.org/I162827531"],"apc_list":null,"apc_paid":null,"fwci":3.6093,"has_fulltext":false,"cited_by_count":28,"citation_normalized_percentile":{"value":0.93616735,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":89,"max":99},"biblio":{"volume":null,"issue":null,"first_page":"134","last_page":"139"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10331","display_name":"Video Surveillance and Tracking Methods","score":0.9975000023841858,"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":0.9975000023841858,"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/T12389","display_name":"Infrared Target Detection Methodologies","score":0.992900013923645,"subfield":{"id":"https://openalex.org/subfields/2202","display_name":"Aerospace 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/T10689","display_name":"Remote-Sensing Image Classification","score":0.9912999868392944,"subfield":{"id":"https://openalex.org/subfields/2214","display_name":"Media Technology"},"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/artificial-intelligence","display_name":"Artificial intelligence","score":0.7904394865036011},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.7592607736587524},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7461588382720947},{"id":"https://openalex.org/keywords/sensor-fusion","display_name":"Sensor fusion","score":0.6290040016174316},{"id":"https://openalex.org/keywords/video-tracking","display_name":"Video tracking","score":0.5606040954589844},{"id":"https://openalex.org/keywords/kalman-filter","display_name":"Kalman filter","score":0.5574989914894104},{"id":"https://openalex.org/keywords/object-detection","display_name":"Object detection","score":0.539578914642334},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.46996068954467773},{"id":"https://openalex.org/keywords/process","display_name":"Process (computing)","score":0.4620015323162079},{"id":"https://openalex.org/keywords/metric","display_name":"Metric (unit)","score":0.45949840545654297},{"id":"https://openalex.org/keywords/tracking-system","display_name":"Tracking system","score":0.44934993982315063},{"id":"https://openalex.org/keywords/similarity","display_name":"Similarity (geometry)","score":0.43520963191986084},{"id":"https://openalex.org/keywords/object","display_name":"Object (grammar)","score":0.43457892537117004},{"id":"https://openalex.org/keywords/tracking","display_name":"Tracking (education)","score":0.4299771785736084},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.4124850928783417},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.3614858388900757},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.21118730306625366},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.10167324542999268}],"concepts":[{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7904394865036011},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.7592607736587524},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7461588382720947},{"id":"https://openalex.org/C33954974","wikidata":"https://www.wikidata.org/wiki/Q486494","display_name":"Sensor fusion","level":2,"score":0.6290040016174316},{"id":"https://openalex.org/C202474056","wikidata":"https://www.wikidata.org/wiki/Q1931635","display_name":"Video tracking","level":3,"score":0.5606040954589844},{"id":"https://openalex.org/C157286648","wikidata":"https://www.wikidata.org/wiki/Q846780","display_name":"Kalman filter","level":2,"score":0.5574989914894104},{"id":"https://openalex.org/C2776151529","wikidata":"https://www.wikidata.org/wiki/Q3045304","display_name":"Object detection","level":3,"score":0.539578914642334},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.46996068954467773},{"id":"https://openalex.org/C98045186","wikidata":"https://www.wikidata.org/wiki/Q205663","display_name":"Process (computing)","level":2,"score":0.4620015323162079},{"id":"https://openalex.org/C176217482","wikidata":"https://www.wikidata.org/wiki/Q860554","display_name":"Metric (unit)","level":2,"score":0.45949840545654297},{"id":"https://openalex.org/C154586513","wikidata":"https://www.wikidata.org/wiki/Q4420972","display_name":"Tracking system","level":3,"score":0.44934993982315063},{"id":"https://openalex.org/C103278499","wikidata":"https://www.wikidata.org/wiki/Q254465","display_name":"Similarity (geometry)","level":3,"score":0.43520963191986084},{"id":"https://openalex.org/C2781238097","wikidata":"https://www.wikidata.org/wiki/Q175026","display_name":"Object (grammar)","level":2,"score":0.43457892537117004},{"id":"https://openalex.org/C2775936607","wikidata":"https://www.wikidata.org/wiki/Q466845","display_name":"Tracking (education)","level":2,"score":0.4299771785736084},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.4124850928783417},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3614858388900757},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.21118730306625366},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.10167324542999268},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","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/C21547014","wikidata":"https://www.wikidata.org/wiki/Q1423657","display_name":"Operations management","level":1,"score":0.0},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C19417346","wikidata":"https://www.wikidata.org/wiki/Q7922","display_name":"Pedagogy","level":1,"score":0.0}],"mesh":[],"locations_count":4,"locations":[{"id":"doi:10.1109/avss.2009.16","is_oa":false,"landing_page_url":"https://doi.org/10.1109/avss.2009.16","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2009 Sixth IEEE International Conference on Advanced Video and Signal Based Surveillance","raw_type":"proceedings-article"},{"id":"pmh:oai:fraunhofer.de:N-115962","is_oa":true,"landing_page_url":"http://publica.fraunhofer.de/documents/N-115962.html","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":"other-oa","license_id":"https://openalex.org/licenses/other-oa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Fraunhofer IITB","raw_type":"Conference Paper"},{"id":"pmh:oai:publica.fraunhofer.de:publica/363720","is_oa":false,"landing_page_url":"https://publica.fraunhofer.de/handle/publica/363720","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"conference paper"},{"id":"doi:10.24406/publica-r-363720","is_oa":true,"landing_page_url":"https://doi.org/10.24406/publica-r-363720","pdf_url":null,"source":{"id":"https://openalex.org/S7407052912","display_name":"Fraunhofer-Gesellschaft zur F\u00f6rderung der angewandten Forschung e.V","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":"pmh:oai:fraunhofer.de:N-115962","is_oa":true,"landing_page_url":"http://publica.fraunhofer.de/documents/N-115962.html","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":"other-oa","license_id":"https://openalex.org/licenses/other-oa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Fraunhofer IITB","raw_type":"Conference Paper"},"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/15","display_name":"Life in Land","score":0.4300000071525574}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":16,"referenced_works":["https://openalex.org/W134990542","https://openalex.org/W224526662","https://openalex.org/W1592079945","https://openalex.org/W2052090926","https://openalex.org/W2081140080","https://openalex.org/W2117616929","https://openalex.org/W2125162832","https://openalex.org/W2125746138","https://openalex.org/W2143668817","https://openalex.org/W2165742335","https://openalex.org/W2167077256","https://openalex.org/W2167477445","https://openalex.org/W2169560049","https://openalex.org/W2931805193","https://openalex.org/W6635373144","https://openalex.org/W6761139949"],"related_works":["https://openalex.org/W3177406559","https://openalex.org/W2789220062","https://openalex.org/W2385949326","https://openalex.org/W4307010368","https://openalex.org/W3021920309","https://openalex.org/W1578117154","https://openalex.org/W2732308154","https://openalex.org/W2054442036","https://openalex.org/W2766961550","https://openalex.org/W2534746541"],"abstract_inverted_index":{"In":[0],"this":[1,93],"paper,":[2,94],"a":[3,25,29,130,143],"robust":[4,97],"and":[5,43,67,96,99,105,121,142,169],"efficient":[6,95],"approach":[7,15],"for":[8,40,47,102,164],"multicamera":[9],"human":[10],"tracking":[11,165],"is":[12,16,51,59,77,119,140,153,173],"presented.":[13,154,174],"The":[14],"integrated":[17],"in":[18,74,92,116,167],"an":[19,55,112,124,137],"experimental":[20],"surveillance":[21],"system,":[22],"based":[23,146,160],"on":[24,147,161],"camera":[26,171],"network":[27],"with":[28,87],"task-oriented":[30],"architecture.":[31],"At":[32],"sensor":[33],"level,":[34],"image":[35],"processing":[36],"algorithms":[37],"are":[38,107],"applied":[39],"object":[41,49,103,114],"detection":[42],"feature":[44],"extraction.":[45],"Additionally,":[46],"each":[48],"that":[50],"to":[52,78,129],"be":[53],"tracked,":[54],"agent-based":[56],"multi-sensor":[57,64],"process":[58],"created,":[60],"which":[61],"autonomously":[62],"performs":[63],"data":[65,157],"association":[66],"fusion.":[68],"One":[69],"of":[70],"the":[71,148,156],"major":[72],"challenges":[73],"such":[75],"systems":[76],"robustly":[79],"determine":[80],"correspondences":[81],"between":[82],"observations":[83],"from":[84],"different":[85,88],"sensors":[86],"environmental":[89],"conditions.":[90],"Therefore,":[91],"spacial":[98,110],"appearance":[100,134,138],"features":[101,163],"description":[104,111],"recognition":[106],"proposed.":[108],"For":[109,133],"approximated":[113],"position":[115],"world":[117],"coordinates":[118],"estimated":[120],"evaluated":[122],"by":[123],"inconsistency":[125],"detector":[126],"before":[127],"associated":[128],"Kalman":[131],"filter.":[132],"similarity":[135,144],"calculation,":[136],"model":[139],"proposed":[141],"metric":[145],"earth":[149],"moverpsilas":[150],"distance":[151],"(EMD)":[152],"Finally,":[155],"fusion":[158],"algorithm":[159],"these":[162],"objects":[166],"overlapping":[168],"non-overlapping":[170],"networks":[172]},"counts_by_year":[{"year":2023,"cited_by_count":1},{"year":2021,"cited_by_count":1},{"year":2018,"cited_by_count":1},{"year":2016,"cited_by_count":2},{"year":2015,"cited_by_count":2},{"year":2014,"cited_by_count":3},{"year":2013,"cited_by_count":7},{"year":2012,"cited_by_count":5}],"updated_date":"2026-04-22T08:38:42.863108","created_date":"2025-10-10T00:00:00"}
