{"id":"https://openalex.org/W2110475078","doi":"https://doi.org/10.1109/cvprw.2011.5981737","title":"Late fusion for person detection in camera networks","display_name":"Late fusion for person detection in camera networks","publication_year":2011,"publication_date":"2011-06-01","ids":{"openalex":"https://openalex.org/W2110475078","doi":"https://doi.org/10.1109/cvprw.2011.5981737","mag":"2110475078"},"language":"en","primary_location":{"id":"doi:10.1109/cvprw.2011.5981737","is_oa":false,"landing_page_url":"https://doi.org/10.1109/cvprw.2011.5981737","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"CVPR 2011 WORKSHOPS","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"http://mediatum.ub.tum.de/node?id=1107258","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5008336815","display_name":"Martin Hofmann","orcid":"https://orcid.org/0000-0002-4440-3317"},"institutions":[{"id":"https://openalex.org/I62916508","display_name":"Technical University of Munich","ror":"https://ror.org/02kkvpp62","country_code":"DE","type":"education","lineage":["https://openalex.org/I62916508"]}],"countries":["DE"],"is_corresponding":true,"raw_author_name":"Martin Hofmann","raw_affiliation_strings":["Institute of Human-Machine Communication, Technische Universit\u00e4t M\u00fcnchen, Germany","Institute for Human-Machine-Communication, Technische Universit\u00e4t M\u00fcnchen,"],"affiliations":[{"raw_affiliation_string":"Institute of Human-Machine Communication, Technische Universit\u00e4t M\u00fcnchen, Germany","institution_ids":["https://openalex.org/I62916508"]},{"raw_affiliation_string":"Institute for Human-Machine-Communication, Technische Universit\u00e4t M\u00fcnchen,","institution_ids":["https://openalex.org/I62916508"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5103019247","display_name":"Martin Kiechle","orcid":"https://orcid.org/0000-0003-2371-6901"},"institutions":[{"id":"https://openalex.org/I62916508","display_name":"Technical University of Munich","ror":"https://ror.org/02kkvpp62","country_code":"DE","type":"education","lineage":["https://openalex.org/I62916508"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Martin Kiechle","raw_affiliation_strings":["Institute of Human-Machine Communication, Technische Universit\u00e4t M\u00fcnchen, Germany","Institute for Human-Machine-Communication, Technische Universit\u00e4t M\u00fcnchen,"],"affiliations":[{"raw_affiliation_string":"Institute of Human-Machine Communication, Technische Universit\u00e4t M\u00fcnchen, Germany","institution_ids":["https://openalex.org/I62916508"]},{"raw_affiliation_string":"Institute for Human-Machine-Communication, Technische Universit\u00e4t M\u00fcnchen,","institution_ids":["https://openalex.org/I62916508"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5039092855","display_name":"Gerhard Rigoll","orcid":"https://orcid.org/0000-0003-1096-1596"},"institutions":[{"id":"https://openalex.org/I62916508","display_name":"Technical University of Munich","ror":"https://ror.org/02kkvpp62","country_code":"DE","type":"education","lineage":["https://openalex.org/I62916508"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Gerhard Rigoll","raw_affiliation_strings":["Institute of Human-Machine Communication, Technische Universit\u00e4t M\u00fcnchen, Germany","Institute for Human-Machine-Communication, Technische Universit\u00e4t M\u00fcnchen,"],"affiliations":[{"raw_affiliation_string":"Institute of Human-Machine Communication, Technische Universit\u00e4t M\u00fcnchen, Germany","institution_ids":["https://openalex.org/I62916508"]},{"raw_affiliation_string":"Institute for Human-Machine-Communication, Technische Universit\u00e4t M\u00fcnchen,","institution_ids":["https://openalex.org/I62916508"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5008336815"],"corresponding_institution_ids":["https://openalex.org/I62916508"],"apc_list":null,"apc_paid":null,"fwci":0.2616,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.60296483,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":94},"biblio":{"volume":null,"issue":null,"first_page":"41","last_page":"46"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10331","display_name":"Video Surveillance and Tracking Methods","score":1.0,"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":1.0,"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/T11512","display_name":"Anomaly Detection Techniques and Applications","score":0.9980999827384949,"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/T10812","display_name":"Human Pose and Action Recognition","score":0.9954000115394592,"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/artificial-intelligence","display_name":"Artificial intelligence","score":0.7785016298294067},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.7424741983413696},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.725673496723175},{"id":"https://openalex.org/keywords/perspective","display_name":"Perspective (graphical)","score":0.6465029120445251},{"id":"https://openalex.org/keywords/probabilistic-logic","display_name":"Probabilistic logic","score":0.6099657416343689},{"id":"https://openalex.org/keywords/object-detection","display_name":"Object detection","score":0.5773687362670898},{"id":"https://openalex.org/keywords/kernel-density-estimation","display_name":"Kernel density estimation","score":0.5272772908210754},{"id":"https://openalex.org/keywords/kernel","display_name":"Kernel (algebra)","score":0.5185739994049072},{"id":"https://openalex.org/keywords/detector","display_name":"Detector","score":0.49073565006256104},{"id":"https://openalex.org/keywords/fusion","display_name":"Fusion","score":0.4505055248737335},{"id":"https://openalex.org/keywords/sensor-fusion","display_name":"Sensor fusion","score":0.4492715895175934},{"id":"https://openalex.org/keywords/projection","display_name":"Projection (relational algebra)","score":0.4279179573059082},{"id":"https://openalex.org/keywords/image-fusion","display_name":"Image fusion","score":0.42697736620903015},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.29595810174942017},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.2171260416507721},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.13016650080680847},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.12448415160179138}],"concepts":[{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7785016298294067},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.7424741983413696},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.725673496723175},{"id":"https://openalex.org/C12713177","wikidata":"https://www.wikidata.org/wiki/Q1900281","display_name":"Perspective (graphical)","level":2,"score":0.6465029120445251},{"id":"https://openalex.org/C49937458","wikidata":"https://www.wikidata.org/wiki/Q2599292","display_name":"Probabilistic logic","level":2,"score":0.6099657416343689},{"id":"https://openalex.org/C2776151529","wikidata":"https://www.wikidata.org/wiki/Q3045304","display_name":"Object detection","level":3,"score":0.5773687362670898},{"id":"https://openalex.org/C71134354","wikidata":"https://www.wikidata.org/wiki/Q458825","display_name":"Kernel density estimation","level":3,"score":0.5272772908210754},{"id":"https://openalex.org/C74193536","wikidata":"https://www.wikidata.org/wiki/Q574844","display_name":"Kernel (algebra)","level":2,"score":0.5185739994049072},{"id":"https://openalex.org/C94915269","wikidata":"https://www.wikidata.org/wiki/Q1834857","display_name":"Detector","level":2,"score":0.49073565006256104},{"id":"https://openalex.org/C158525013","wikidata":"https://www.wikidata.org/wiki/Q2593739","display_name":"Fusion","level":2,"score":0.4505055248737335},{"id":"https://openalex.org/C33954974","wikidata":"https://www.wikidata.org/wiki/Q486494","display_name":"Sensor fusion","level":2,"score":0.4492715895175934},{"id":"https://openalex.org/C57493831","wikidata":"https://www.wikidata.org/wiki/Q3134666","display_name":"Projection (relational algebra)","level":2,"score":0.4279179573059082},{"id":"https://openalex.org/C69744172","wikidata":"https://www.wikidata.org/wiki/Q860822","display_name":"Image fusion","level":3,"score":0.42697736620903015},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.29595810174942017},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.2171260416507721},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.13016650080680847},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.12448415160179138},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.0},{"id":"https://openalex.org/C185429906","wikidata":"https://www.wikidata.org/wiki/Q1130160","display_name":"Estimator","level":2,"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/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","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/C114614502","wikidata":"https://www.wikidata.org/wiki/Q76592","display_name":"Combinatorics","level":1,"score":0.0}],"mesh":[],"locations_count":3,"locations":[{"id":"doi:10.1109/cvprw.2011.5981737","is_oa":false,"landing_page_url":"https://doi.org/10.1109/cvprw.2011.5981737","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"CVPR 2011 WORKSHOPS","raw_type":"proceedings-article"},{"id":"pmh:oai:CiteSeerX.psu:10.1.1.364.5251","is_oa":false,"landing_page_url":"http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.364.5251","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"http://www.mmk.ei.tum.de/publ/pdf/11/11hof5.pdf","raw_type":"text"},{"id":"pmh:oai:mediatum.ub.tum.de:node/1107258","is_oa":true,"landing_page_url":"http://mediatum.ub.tum.de/node?id=1107258","pdf_url":null,"source":{"id":"https://openalex.org/S4306400453","display_name":"mediaTUM \u2013 the media and publications repository of the Technical University Munich (Technical University Munich)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I62916508","host_organization_name":"Technical University of Munich","host_organization_lineage":["https://openalex.org/I62916508"],"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":"","raw_type":"article"}],"best_oa_location":{"id":"pmh:oai:mediatum.ub.tum.de:node/1107258","is_oa":true,"landing_page_url":"http://mediatum.ub.tum.de/node?id=1107258","pdf_url":null,"source":{"id":"https://openalex.org/S4306400453","display_name":"mediaTUM \u2013 the media and publications repository of the Technical University Munich (Technical University Munich)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I62916508","host_organization_name":"Technical University of Munich","host_organization_lineage":["https://openalex.org/I62916508"],"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":"","raw_type":"article"},"sustainable_development_goals":[{"score":0.4699999988079071,"display_name":"Peace, Justice and strong institutions","id":"https://metadata.un.org/sdg/16"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":15,"referenced_works":["https://openalex.org/W396735907","https://openalex.org/W1936772439","https://openalex.org/W2034803354","https://openalex.org/W2077580148","https://openalex.org/W2096112371","https://openalex.org/W2096349671","https://openalex.org/W2106281167","https://openalex.org/W2107775979","https://openalex.org/W2115797648","https://openalex.org/W2132001627","https://openalex.org/W2139479830","https://openalex.org/W2149810929","https://openalex.org/W2161969291","https://openalex.org/W6674636832","https://openalex.org/W6677030111"],"related_works":["https://openalex.org/W2132659060","https://openalex.org/W2031992971","https://openalex.org/W2788731446","https://openalex.org/W2204403038","https://openalex.org/W3214791684","https://openalex.org/W3152170969","https://openalex.org/W2379054866","https://openalex.org/W2549658594","https://openalex.org/W2353265673","https://openalex.org/W2370195708"],"abstract_inverted_index":{"In":[0],"this":[1,90],"paper,":[2],"we":[3],"present":[4,19],"a":[5,20,52,62,97],"novel":[6],"method":[7,54],"to":[8,24,67],"detect":[9],"multiple":[10,33],"partially":[11],"occluded":[12],"persons":[13],"in":[14,101],"multi-view":[15,63],"camera":[16,34],"networks.":[17],"We":[18],"new":[21],"fusion":[22,53],"scheme":[23],"integrate":[25],"the":[26],"output":[27],"of":[28,44],"part-based":[29],"object":[30],"detectors":[31],"from":[32],"views.":[35],"This":[36],"is":[37],"achieved":[38],"using":[39],"subtle":[40],"and":[41,46],"precise":[42],"modeling":[43],"detection":[45,85],"projection":[47],"uncertainties":[48],"as":[49,51],"well":[50],"based":[55,95],"on":[56,96],"probabilistic":[57],"kernel":[58],"density":[59],"estimation.":[60],"Using":[61],"setup":[64],"also":[65,83],"allows":[66],"incorporate":[68],"additional":[69],"real-world":[70],"prior":[71],"knowledge":[72],"about":[73],"person":[74],"appearances,":[75],"which":[76],"not":[77],"only":[78],"speeds":[79],"up":[80],"processing,":[81],"but":[82],"increases":[84],"rates.":[86],"Experiments":[87],"show":[88],"that":[89],"multi-camera":[91],"approach":[92],"outperforms":[93],"methods":[94],"single":[98],"perspective,":[99],"particularly":[100],"occlusion-intense":[102],"scenarios.":[103]},"counts_by_year":[{"year":2013,"cited_by_count":1}],"updated_date":"2026-04-05T17:49:38.594831","created_date":"2025-10-10T00:00:00"}
