{"id":"https://openalex.org/W3195394507","doi":"https://doi.org/10.23919/mva51890.2021.9511351","title":"Temporal Extension for Encoder-Decoder-based Crowd Counting Approaches","display_name":"Temporal Extension for Encoder-Decoder-based Crowd Counting Approaches","publication_year":2021,"publication_date":"2021-07-25","ids":{"openalex":"https://openalex.org/W3195394507","doi":"https://doi.org/10.23919/mva51890.2021.9511351","mag":"3195394507"},"language":"en","primary_location":{"id":"doi:10.23919/mva51890.2021.9511351","is_oa":false,"landing_page_url":"https://doi.org/10.23919/mva51890.2021.9511351","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2021 17th International Conference on Machine Vision and Applications (MVA)","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"http://publica.fraunhofer.de/documents/N-638961.html","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5036083843","display_name":"Thomas Golda","orcid":"https://orcid.org/0000-0003-3968-2806"},"institutions":[{"id":"https://openalex.org/I4210111500","display_name":"Fraunhofer Institute of Optronics, System Technologies and Image Exploitation","ror":"https://ror.org/01zx97922","country_code":"DE","type":"facility","lineage":["https://openalex.org/I4210111500","https://openalex.org/I4923324"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Thomas Golda","raw_affiliation_strings":["Fraunhofer Institute for Optronics, System Technologies and Image Exploitation IOSB Fraunhofer Center for Machine Learning"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Fraunhofer Institute for Optronics, System Technologies and Image Exploitation IOSB Fraunhofer Center for Machine Learning","institution_ids":["https://openalex.org/I4210111500"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5072862233","display_name":"Florian Kr\u00fcger","orcid":"https://orcid.org/0000-0003-2761-905X"},"institutions":[{"id":"https://openalex.org/I4210111500","display_name":"Fraunhofer Institute of Optronics, System Technologies and Image Exploitation","ror":"https://ror.org/01zx97922","country_code":"DE","type":"facility","lineage":["https://openalex.org/I4210111500","https://openalex.org/I4923324"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Florian Kruger","raw_affiliation_strings":["Fraunhofer Institute for Optronics, System Technologies and Image Exploitation IOSB Fraunhofer Center for Machine Learning"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Fraunhofer Institute for Optronics, System Technologies and Image Exploitation IOSB Fraunhofer Center for Machine Learning","institution_ids":["https://openalex.org/I4210111500"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5073930300","display_name":"J\u00fcrgen Beyerer","orcid":"https://orcid.org/0000-0003-3556-7181"},"institutions":[{"id":"https://openalex.org/I4210111500","display_name":"Fraunhofer Institute of Optronics, System Technologies and Image Exploitation","ror":"https://ror.org/01zx97922","country_code":"DE","type":"facility","lineage":["https://openalex.org/I4210111500","https://openalex.org/I4923324"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Jurgen Beyerer","raw_affiliation_strings":["Fraunhofer Institute for Optronics, System Technologies and Image Exploitation IOSB Fraunhofer Center for Machine Learning"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Fraunhofer Institute for Optronics, System Technologies and Image Exploitation IOSB Fraunhofer Center for Machine Learning","institution_ids":["https://openalex.org/I4210111500"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.1941,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.49247593,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":94,"max":96},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"5"},"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":0.9994999766349792,"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/T11019","display_name":"Image Enhancement Techniques","score":0.9983000159263611,"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/computer-science","display_name":"Computer science","score":0.8117274641990662},{"id":"https://openalex.org/keywords/encoder","display_name":"Encoder","score":0.7920643091201782},{"id":"https://openalex.org/keywords/extension","display_name":"Extension (predicate logic)","score":0.7021383047103882},{"id":"https://openalex.org/keywords/context","display_name":"Context (archaeology)","score":0.6264201402664185},{"id":"https://openalex.org/keywords/process","display_name":"Process (computing)","score":0.5664141774177551},{"id":"https://openalex.org/keywords/decoding-methods","display_name":"Decoding methods","score":0.5615233778953552},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4591365158557892},{"id":"https://openalex.org/keywords/state","display_name":"State (computer science)","score":0.4519564211368561},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.3968324065208435},{"id":"https://openalex.org/keywords/real-time-computing","display_name":"Real-time computing","score":0.35370349884033203},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.2751143276691437}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8117274641990662},{"id":"https://openalex.org/C118505674","wikidata":"https://www.wikidata.org/wiki/Q42586063","display_name":"Encoder","level":2,"score":0.7920643091201782},{"id":"https://openalex.org/C2778029271","wikidata":"https://www.wikidata.org/wiki/Q5421931","display_name":"Extension (predicate logic)","level":2,"score":0.7021383047103882},{"id":"https://openalex.org/C2779343474","wikidata":"https://www.wikidata.org/wiki/Q3109175","display_name":"Context (archaeology)","level":2,"score":0.6264201402664185},{"id":"https://openalex.org/C98045186","wikidata":"https://www.wikidata.org/wiki/Q205663","display_name":"Process (computing)","level":2,"score":0.5664141774177551},{"id":"https://openalex.org/C57273362","wikidata":"https://www.wikidata.org/wiki/Q576722","display_name":"Decoding methods","level":2,"score":0.5615233778953552},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4591365158557892},{"id":"https://openalex.org/C48103436","wikidata":"https://www.wikidata.org/wiki/Q599031","display_name":"State (computer science)","level":2,"score":0.4519564211368561},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.3968324065208435},{"id":"https://openalex.org/C79403827","wikidata":"https://www.wikidata.org/wiki/Q3988","display_name":"Real-time computing","level":1,"score":0.35370349884033203},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.2751143276691437},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0},{"id":"https://openalex.org/C151730666","wikidata":"https://www.wikidata.org/wiki/Q7205","display_name":"Paleontology","level":1,"score":0.0},{"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/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0}],"mesh":[],"locations_count":3,"locations":[{"id":"doi:10.23919/mva51890.2021.9511351","is_oa":false,"landing_page_url":"https://doi.org/10.23919/mva51890.2021.9511351","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2021 17th International Conference on Machine Vision and Applications (MVA)","raw_type":"proceedings-article"},{"id":"pmh:oai:fraunhofer.de:N-638961","is_oa":true,"landing_page_url":"http://publica.fraunhofer.de/documents/N-638961.html","pdf_url":null,"source":{"id":"https://openalex.org/S4306400801","display_name":"Publikationsdatenbank der Fraunhofer-Gesellschaft (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 IOSB","raw_type":"conferenceObject"},{"id":"pmh:oai:publica.fraunhofer.de:publica/411877","is_oa":false,"landing_page_url":"https://publica.fraunhofer.de/handle/publica/411877","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":{"id":"pmh:oai:fraunhofer.de:N-638961","is_oa":true,"landing_page_url":"http://publica.fraunhofer.de/documents/N-638961.html","pdf_url":null,"source":{"id":"https://openalex.org/S4306400801","display_name":"Publikationsdatenbank der Fraunhofer-Gesellschaft (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 IOSB","raw_type":"conferenceObject"},"sustainable_development_goals":[{"display_name":"Sustainable cities and communities","score":0.8100000023841858,"id":"https://metadata.un.org/sdg/11"}],"awards":[{"id":"https://openalex.org/G4735163360","display_name":null,"funder_award_id":"13N15164","funder_id":"https://openalex.org/F4320321114","funder_display_name":"Bundesministerium f\u00fcr Bildung und Forschung"}],"funders":[{"id":"https://openalex.org/F4320321114","display_name":"Bundesministerium f\u00fcr Bildung und Forschung","ror":"https://ror.org/04pz7b180"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":32,"referenced_works":["https://openalex.org/W1485009520","https://openalex.org/W1522301498","https://openalex.org/W1686810756","https://openalex.org/W1978232622","https://openalex.org/W2149148304","https://openalex.org/W2463631526","https://openalex.org/W2517615595","https://openalex.org/W2913318911","https://openalex.org/W2914974653","https://openalex.org/W2950141105","https://openalex.org/W2955108162","https://openalex.org/W2963212638","https://openalex.org/W2964018834","https://openalex.org/W2964121744","https://openalex.org/W2964191454","https://openalex.org/W2964209782","https://openalex.org/W2975467257","https://openalex.org/W2993565147","https://openalex.org/W3100397002","https://openalex.org/W3119214860","https://openalex.org/W4288102111","https://openalex.org/W4289751533","https://openalex.org/W6628877408","https://openalex.org/W6637373629","https://openalex.org/W6746472748","https://openalex.org/W6753045325","https://openalex.org/W6759443934","https://openalex.org/W6765919661","https://openalex.org/W6767839269","https://openalex.org/W6771222063","https://openalex.org/W6785211138","https://openalex.org/W6788610482"],"related_works":["https://openalex.org/W2075768550","https://openalex.org/W3022218857","https://openalex.org/W2369178846","https://openalex.org/W2370289839","https://openalex.org/W2082716031","https://openalex.org/W2933494595","https://openalex.org/W4313347705","https://openalex.org/W1568049691","https://openalex.org/W1590096425","https://openalex.org/W2890485617"],"abstract_inverted_index":{"Crowd":[0],"counting":[1],"is":[2],"an":[3],"important":[4],"aspect":[5],"to":[6,16,27,46,83],"safety":[7,18],"monitoring":[8],"at":[9],"mass":[10],"events":[11],"and":[12,106,120],"can":[13],"be":[14],"used":[15],"initiate":[17],"measures":[19],"in":[20,33,65],"time.":[21,123],"State-of-the-art":[22],"encoder-decoder":[23,85],"architectures":[24,86,105],"are":[25,44,61,117],"able":[26],"estimate":[28],"the":[29,41,68,71,95,100,114],"number":[30],"of":[31,40,70],"people":[32],"a":[34,79,103],"scene":[35],"precisely.":[36],"However,":[37],"since":[38],"most":[39],"proposed":[42],"methods":[43],"based":[45],"solely":[47],"operate":[48],"on":[49],"single-image":[50],"features,":[51],"we":[52,77,111],"observe":[53],"that":[54,87,113],"estimated":[55],"counts":[56],"for":[57],"aerial":[58],"video":[59],"sequences":[60],"inherently":[62],"noisy,":[63],"which":[64],"turn":[66],"reduces":[67],"significance":[69],"overall":[72],"estimates.":[73],"In":[74],"this":[75],"paper,":[76],"propose":[78],"simple":[80],"temporal":[81,101],"extension":[82,102],"said":[84],"incorporates":[88],"local":[89],"context":[90],"from":[91],"multiple":[92,108],"frames":[93],"into":[94],"estimation":[96],"process.":[97],"By":[98],"applying":[99],"state-of-the-art":[104],"exploring":[107],"configuration":[109],"settings,":[110],"find":[112],"resulting":[115],"estimates":[116],"more":[118],"precise":[119],"smoother":[121],"over":[122]},"counts_by_year":[{"year":2024,"cited_by_count":2}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}