{"id":"https://openalex.org/W2060188823","doi":"https://doi.org/10.1109/iccvw.2011.6130347","title":"Automatic crowd density and motion analysis in airborne image sequences based on a probabilistic framework","display_name":"Automatic crowd density and motion analysis in airborne image sequences based on a probabilistic framework","publication_year":2011,"publication_date":"2011-11-01","ids":{"openalex":"https://openalex.org/W2060188823","doi":"https://doi.org/10.1109/iccvw.2011.6130347","mag":"2060188823"},"language":"en","primary_location":{"id":"doi:10.1109/iccvw.2011.6130347","is_oa":false,"landing_page_url":"https://doi.org/10.1109/iccvw.2011.6130347","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2011 IEEE International Conference on Computer Vision Workshops (ICCV Workshops)","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/A5056056423","display_name":"Beril S\u0131rma\u00e7ek","orcid":"https://orcid.org/0000-0002-0343-5072"},"institutions":[{"id":"https://openalex.org/I2898391981","display_name":"Deutsches Zentrum f\u00fcr Luft- und Raumfahrt e. V. (DLR)","ror":"https://ror.org/04bwf3e34","country_code":"DE","type":"facility","lineage":["https://openalex.org/I1305996414","https://openalex.org/I2898391981"]}],"countries":["DE"],"is_corresponding":true,"raw_author_name":"Beril Sirmacek","raw_affiliation_strings":["Remote Sensing Technology Institute, German AeroSpace Center (DLR), Wessling, Germany","German Aerospace Center (DLR), Remote Sensing Technology Institute PO Box 1116, 82230, Wessling, Germany"],"affiliations":[{"raw_affiliation_string":"Remote Sensing Technology Institute, German AeroSpace Center (DLR), Wessling, Germany","institution_ids":["https://openalex.org/I2898391981"]},{"raw_affiliation_string":"German Aerospace Center (DLR), Remote Sensing Technology Institute PO Box 1116, 82230, Wessling, Germany","institution_ids":["https://openalex.org/I2898391981"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5052386553","display_name":"Peter Reinartz","orcid":"https://orcid.org/0000-0002-8122-1475"},"institutions":[{"id":"https://openalex.org/I2898391981","display_name":"Deutsches Zentrum f\u00fcr Luft- und Raumfahrt e. V. (DLR)","ror":"https://ror.org/04bwf3e34","country_code":"DE","type":"facility","lineage":["https://openalex.org/I1305996414","https://openalex.org/I2898391981"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Peter Reinartz","raw_affiliation_strings":["Remote Sensing Technology Institute, German AeroSpace Center (DLR), Wessling, Germany","German Aerospace Center (DLR), Remote Sensing Technology Institute PO Box 1116, 82230, Wessling, Germany"],"affiliations":[{"raw_affiliation_string":"Remote Sensing Technology Institute, German AeroSpace Center (DLR), Wessling, Germany","institution_ids":["https://openalex.org/I2898391981"]},{"raw_affiliation_string":"German Aerospace Center (DLR), Remote Sensing Technology Institute PO Box 1116, 82230, Wessling, Germany","institution_ids":["https://openalex.org/I2898391981"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5056056423"],"corresponding_institution_ids":["https://openalex.org/I2898391981"],"apc_list":null,"apc_paid":null,"fwci":2.3524,"has_fulltext":false,"cited_by_count":25,"citation_normalized_percentile":{"value":0.90542546,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":89,"max":98},"biblio":{"volume":"9","issue":null,"first_page":"898","last_page":"905"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10331","display_name":"Video Surveillance and Tracking Methods","score":0.9997000098228455,"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":0.9997000098228455,"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/T13282","display_name":"Automated Road and Building Extraction","score":0.9829000234603882,"subfield":{"id":"https://openalex.org/subfields/2212","display_name":"Ocean 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/T10531","display_name":"Advanced Vision and Imaging","score":0.9825999736785889,"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/probabilistic-logic","display_name":"Probabilistic logic","score":0.7168355584144592},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.6514707207679749},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6442146301269531},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6254457235336304},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.5229014754295349},{"id":"https://openalex.org/keywords/motion","display_name":"Motion (physics)","score":0.49738505482673645},{"id":"https://openalex.org/keywords/motion-analysis","display_name":"Motion analysis","score":0.44502660632133484},{"id":"https://openalex.org/keywords/computer-graphics","display_name":"Computer graphics (images)","score":0.3295251131057739}],"concepts":[{"id":"https://openalex.org/C49937458","wikidata":"https://www.wikidata.org/wiki/Q2599292","display_name":"Probabilistic logic","level":2,"score":0.7168355584144592},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.6514707207679749},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6442146301269531},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6254457235336304},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.5229014754295349},{"id":"https://openalex.org/C104114177","wikidata":"https://www.wikidata.org/wiki/Q79782","display_name":"Motion (physics)","level":2,"score":0.49738505482673645},{"id":"https://openalex.org/C2777036941","wikidata":"https://www.wikidata.org/wiki/Q6917771","display_name":"Motion analysis","level":2,"score":0.44502660632133484},{"id":"https://openalex.org/C121684516","wikidata":"https://www.wikidata.org/wiki/Q7600677","display_name":"Computer graphics (images)","level":1,"score":0.3295251131057739}],"mesh":[],"locations_count":3,"locations":[{"id":"doi:10.1109/iccvw.2011.6130347","is_oa":false,"landing_page_url":"https://doi.org/10.1109/iccvw.2011.6130347","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2011 IEEE International Conference on Computer Vision Workshops (ICCV Workshops)","raw_type":"proceedings-article"},{"id":"pmh:oai:elib.dlr.de:70876","is_oa":false,"landing_page_url":null,"pdf_url":null,"source":{"id":"https://openalex.org/S4377196266","display_name":"elib (German Aerospace Center)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I2898391981","host_organization_name":"Deutsches Zentrum f\u00fcr Luft- und Raumfahrt e. V. (DLR)","host_organization_lineage":["https://openalex.org/I2898391981"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"acceptedVersion","is_accepted":true,"is_published":false,"raw_source_name":null,"raw_type":"NonPeerReviewed"},{"id":"pmh:oai:elib.dlr.de:71973","is_oa":false,"landing_page_url":"https://doi.org/10.1109/iccvw.2011.6130347>.","pdf_url":null,"source":{"id":"https://openalex.org/S4377196266","display_name":"elib (German Aerospace Center)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I2898391981","host_organization_name":"Deutsches Zentrum f\u00fcr Luft- und Raumfahrt e. V. (DLR)","host_organization_lineage":["https://openalex.org/I2898391981"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"acceptedVersion","is_accepted":true,"is_published":false,"raw_source_name":null,"raw_type":"PeerReviewed"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Sustainable cities and communities","score":0.6899999976158142,"id":"https://metadata.un.org/sdg/11"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":16,"referenced_works":["https://openalex.org/W186285163","https://openalex.org/W1964395255","https://openalex.org/W1989384276","https://openalex.org/W2047309389","https://openalex.org/W2054697383","https://openalex.org/W2067191022","https://openalex.org/W2083699127","https://openalex.org/W2099701364","https://openalex.org/W2133059825","https://openalex.org/W2139595964","https://openalex.org/W2151666244","https://openalex.org/W2167918392","https://openalex.org/W2170282673","https://openalex.org/W2309774493","https://openalex.org/W4250676422","https://openalex.org/W6698508395"],"related_works":["https://openalex.org/W2104332279","https://openalex.org/W2055991023","https://openalex.org/W1978569796","https://openalex.org/W176798505","https://openalex.org/W2144481990","https://openalex.org/W2046491844","https://openalex.org/W2543456193","https://openalex.org/W2377635007","https://openalex.org/W2108395053","https://openalex.org/W2020434089"],"abstract_inverted_index":{"Real-time":[0],"monitoring":[1],"of":[2,11,19,30,61,68,86,94,121,188],"crowded":[3],"regions":[4],"has":[5],"crucial":[6],"importance":[7],"to":[8,26,39,44,100,130,162,166],"avoid":[9],"overload":[10],"people":[12,21],"in":[13,192],"certain":[14],"areas.":[15],"Understanding":[16],"behavioral":[17],"dynamics":[18],"large":[20],"groups":[22],"can":[23,175],"also":[24,126],"help":[25],"estimate":[27,131],"future":[28],"status":[29,120],"underground":[31],"passages,":[32],"public":[33],"areas,":[34],"or":[35],"streets.":[36],"In":[37,160],"order":[38,161],"bring":[40],"an":[41,156],"automated":[42],"solution":[43],"the":[45,69,109,113,122,170,180,189],"problem,":[46],"we":[47,77,125,140],"propose":[48],"a":[49,142],"novel":[50],"approach":[51,57],"using":[52],"airborne":[53,157],"image":[54,85,114,145,181],"sequences.":[55],"Our":[56],"depends":[58],"on":[59],"extraction":[60],"local":[62,73],"features":[63,74],"from":[64,155,179],"invariant":[65],"color":[66],"components":[67],"images.":[70],"Using":[71],"extracted":[72,177],"as":[75],"observations,":[76],"form":[78],"probability":[79],"density":[80,93],"functions":[81],"(pdf)":[82],"for":[83],"each":[84],"input":[87],"sequence":[88,115],"which":[89,174],"holds":[90],"information":[91,102,118],"about":[92,103,119],"people.":[95],"We":[96],"introduce":[97],"four":[98,110],"measures":[99,111],"extract":[101],"pdf":[104],"characteristics.":[105],"A":[106],"change":[107],"within":[108],"over":[112],"gives":[116],"important":[117],"crowds.":[123],"Besides,":[124],"use":[127,141,172],"obtained":[128],"pdfs":[129],"main":[132],"crowd":[133],"motion":[134],"directions.":[135],"To":[136],"test":[137],"our":[138],"algorithm,":[139],"stadium":[143],"entrance":[144],"data":[146,152],"set,":[147],"and":[148],"two":[149],"festival":[150],"area":[151],"sets":[153],"taken":[154],"camera":[158],"system.":[159],"be":[163,176],"later":[164],"able":[165],"reach":[167],"real-time":[168],"performance":[169],"algorithms":[171,191],"parameters":[173],"directly":[178],"data.":[182],"Experimental":[183],"results":[184],"indicate":[185],"possible":[186],"usage":[187],"developed":[190],"real-life":[193],"events.":[194]},"counts_by_year":[{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":1},{"year":2022,"cited_by_count":2},{"year":2021,"cited_by_count":2},{"year":2020,"cited_by_count":1},{"year":2019,"cited_by_count":4},{"year":2018,"cited_by_count":1},{"year":2017,"cited_by_count":2},{"year":2015,"cited_by_count":2},{"year":2014,"cited_by_count":1},{"year":2013,"cited_by_count":5},{"year":2012,"cited_by_count":3}],"updated_date":"2026-04-04T16:13:02.066488","created_date":"2025-10-10T00:00:00"}