{"id":"https://openalex.org/W1861470324","doi":"https://doi.org/10.1007/978-3-642-03798-6_9","title":"Dense Stereo-Based ROI Generation for Pedestrian Detection","display_name":"Dense Stereo-Based ROI Generation for Pedestrian Detection","publication_year":2009,"publication_date":"2009-01-01","ids":{"openalex":"https://openalex.org/W1861470324","doi":"https://doi.org/10.1007/978-3-642-03798-6_9","mag":"1861470324"},"language":"en","primary_location":{"id":"doi:10.1007/978-3-642-03798-6_9","is_oa":false,"landing_page_url":"https://doi.org/10.1007/978-3-642-03798-6_9","pdf_url":null,"source":{"id":"https://openalex.org/S106296714","display_name":"Lecture notes in computer science","issn_l":"0302-9743","issn":["0302-9743","1611-3349"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"book series"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Lecture Notes in Computer Science","raw_type":"book-chapter"},"type":"book-chapter","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/A5013875392","display_name":"Christoph G. Keller","orcid":null},"institutions":[{"id":"https://openalex.org/I223822909","display_name":"Heidelberg University","ror":"https://ror.org/038t36y30","country_code":"DE","type":"education","lineage":["https://openalex.org/I223822909"]}],"countries":["DE"],"is_corresponding":true,"raw_author_name":"Christoph Gustav Keller","raw_affiliation_strings":["Image & Pattern Analysis Group, Department of Math. and Computer Science, Univ. of Heidelberg, Germany"],"affiliations":[{"raw_affiliation_string":"Image & Pattern Analysis Group, Department of Math. and Computer Science, Univ. of Heidelberg, Germany","institution_ids":["https://openalex.org/I223822909"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5016004555","display_name":"David Fern\u00e1ndez Llorca","orcid":"https://orcid.org/0000-0003-2433-7110"},"institutions":[{"id":"https://openalex.org/I189268942","display_name":"Universidad de Alcal\u00e1","ror":"https://ror.org/04pmn0e78","country_code":"ES","type":"education","lineage":["https://openalex.org/I189268942"]}],"countries":["ES"],"is_corresponding":false,"raw_author_name":"David Fern\u00e1ndez Llorca","raw_affiliation_strings":["Department of Electronics., Univ. of Alcal\u00e1., Alcal\u00e1 de Henares, (Madrid), Spain","Department of Electronics., Univ. of Alcal\u00e1., (Madrid), Spain"],"affiliations":[{"raw_affiliation_string":"Department of Electronics., Univ. of Alcal\u00e1., Alcal\u00e1 de Henares, (Madrid), Spain","institution_ids":["https://openalex.org/I189268942"]},{"raw_affiliation_string":"Department of Electronics., Univ. of Alcal\u00e1., (Madrid), Spain","institution_ids":["https://openalex.org/I189268942"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5085298812","display_name":"Dariu M. Gavrila","orcid":"https://orcid.org/0000-0002-1810-4196"},"institutions":[{"id":"https://openalex.org/I887064364","display_name":"University of Amsterdam","ror":"https://ror.org/04dkp9463","country_code":"NL","type":"education","lineage":["https://openalex.org/I887064364"]},{"id":"https://openalex.org/I891521709","display_name":"Daimler (Germany)","ror":"https://ror.org/00m0j3d84","country_code":"DE","type":"company","lineage":["https://openalex.org/I891521709"]}],"countries":["DE","NL"],"is_corresponding":false,"raw_author_name":"Dariu M. Gavrila","raw_affiliation_strings":["Environment Perception, Group Research, Daimler AG, Ulm, Germany","Intelligent Systems Lab, Fac. of Science, Univ. of Amsterdam, The Netherlands"],"affiliations":[{"raw_affiliation_string":"Environment Perception, Group Research, Daimler AG, Ulm, Germany","institution_ids":["https://openalex.org/I891521709"]},{"raw_affiliation_string":"Intelligent Systems Lab, Fac. of Science, Univ. of Amsterdam, The Netherlands","institution_ids":["https://openalex.org/I887064364"]}]}],"institutions":[],"countries_distinct_count":3,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5013875392"],"corresponding_institution_ids":["https://openalex.org/I223822909"],"apc_list":{"value":5000,"currency":"EUR","value_usd":5392},"apc_paid":null,"fwci":2.9631,"has_fulltext":false,"cited_by_count":21,"citation_normalized_percentile":{"value":0.92315255,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":89,"max":97},"biblio":{"volume":null,"issue":null,"first_page":"81","last_page":"90"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10331","display_name":"Video Surveillance and Tracking Methods","score":0.9998999834060669,"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":0.9998999834060669,"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/T10531","display_name":"Advanced Vision and Imaging","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/T11019","display_name":"Image Enhancement Techniques","score":0.9988999962806702,"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":0.7530632019042969},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.7366940975189209},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6699812412261963},{"id":"https://openalex.org/keywords/pedestrian-detection","display_name":"Pedestrian detection","score":0.5933191180229187},{"id":"https://openalex.org/keywords/region-of-interest","display_name":"Region of interest","score":0.5406020283699036},{"id":"https://openalex.org/keywords/stereopsis","display_name":"Stereopsis","score":0.5018548965454102},{"id":"https://openalex.org/keywords/stereo-camera","display_name":"Stereo camera","score":0.4716581404209137},{"id":"https://openalex.org/keywords/pedestrian","display_name":"Pedestrian","score":0.47042107582092285},{"id":"https://openalex.org/keywords/computer-graphics","display_name":"Computer graphics (images)","score":0.32698774337768555},{"id":"https://openalex.org/keywords/geography","display_name":"Geography","score":0.2567952275276184}],"concepts":[{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7530632019042969},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.7366940975189209},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6699812412261963},{"id":"https://openalex.org/C2780156472","wikidata":"https://www.wikidata.org/wiki/Q2355550","display_name":"Pedestrian detection","level":3,"score":0.5933191180229187},{"id":"https://openalex.org/C19609008","wikidata":"https://www.wikidata.org/wiki/Q2138203","display_name":"Region of interest","level":2,"score":0.5406020283699036},{"id":"https://openalex.org/C68537008","wikidata":"https://www.wikidata.org/wiki/Q247932","display_name":"Stereopsis","level":2,"score":0.5018548965454102},{"id":"https://openalex.org/C185078393","wikidata":"https://www.wikidata.org/wiki/Q313783","display_name":"Stereo camera","level":2,"score":0.4716581404209137},{"id":"https://openalex.org/C2777113093","wikidata":"https://www.wikidata.org/wiki/Q221488","display_name":"Pedestrian","level":2,"score":0.47042107582092285},{"id":"https://openalex.org/C121684516","wikidata":"https://www.wikidata.org/wiki/Q7600677","display_name":"Computer graphics (images)","level":1,"score":0.32698774337768555},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.2567952275276184},{"id":"https://openalex.org/C166957645","wikidata":"https://www.wikidata.org/wiki/Q23498","display_name":"Archaeology","level":1,"score":0.0}],"mesh":[],"locations_count":5,"locations":[{"id":"doi:10.1007/978-3-642-03798-6_9","is_oa":false,"landing_page_url":"https://doi.org/10.1007/978-3-642-03798-6_9","pdf_url":null,"source":{"id":"https://openalex.org/S106296714","display_name":"Lecture notes in computer science","issn_l":"0302-9743","issn":["0302-9743","1611-3349"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"book series"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Lecture Notes in Computer Science","raw_type":"book-chapter"},{"id":"pmh:oai:dare.uva.nl:openaire_cris_publications/08909bda-d634-4ebe-bd77-3b058e08de81","is_oa":false,"landing_page_url":"https://handle.uba.uva.nl/personal/pure/en/publications/dense-stereobased-roi-generation-for-pedestrian-detection(08909bda-d634-4ebe-bd77-3b058e08de81).html","pdf_url":null,"source":{"id":"https://openalex.org/S4306400088","display_name":"UvA-DARE (University of Amsterdam)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I887064364","host_organization_name":"University of Amsterdam","host_organization_lineage":["https://openalex.org/I887064364"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Keller, C G, Llorca, D F & Gavrila, D M 2009, Dense stereo-based ROI generation for pedestrian detection. in J Denzler, G Notni & H S\u00fc\u00dfe (eds), Pattern Recognition : 31st DAGM Symposium, Jena, Germany, September 9-11, 2009 : proceedings. Lecture Notes in Computer Science, vol. 5748, Berlin, pp. 81-90, 31st Annual Symposium of the Deutsche Arbeitsgemeinschaft f\u00fcr Mustererkennung (DAGM 2009), Jena, Germany, 9/09/09. https://doi.org/10.1007/978-3-642-03798-6_9","raw_type":"info:eu-repo/semantics/publishedVersion"},{"id":"pmh:oai:CiteSeerX.psu:10.1.1.157.1184","is_oa":false,"landing_page_url":"http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.157.1184","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"http://gavrila.net/Publications/dagm09_keller.pdf","raw_type":"text"},{"id":"pmh:oai:CiteSeerX.psu:10.1.1.699.9581","is_oa":false,"landing_page_url":"http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.699.9581","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"http://www.isislab.es/llorca/publications_files/LNCS_DenseStereo_2009.pdf","raw_type":"text"},{"id":"pmh:uvapub:oai:dare.uva.nl:publications/08909bda-d634-4ebe-bd77-3b058e08de81","is_oa":false,"landing_page_url":"https://dare.uva.nl/personal/pure/en/publications/dense-stereobased-roi-generation-for-pedestrian-detection(08909bda-d634-4ebe-bd77-3b058e08de81).html","pdf_url":null,"source":{"id":"https://openalex.org/S4306401843","display_name":"Data Archiving and Networked Services (DANS)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1322597698","host_organization_name":"Royal Netherlands Academy of Arts and Sciences","host_organization_lineage":["https://openalex.org/I1322597698"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Pattern Recognition: 31st DAGM Symposium, Jena, Germany, September 9-11, 2009 : proceedings, 81 - 90","raw_type":"info:eu-repo/semantics/conferencepaper"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Sustainable cities and communities","score":0.8399999737739563,"id":"https://metadata.un.org/sdg/11"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":21,"referenced_works":["https://openalex.org/W13512556","https://openalex.org/W1854868235","https://openalex.org/W1924453835","https://openalex.org/W1992702096","https://openalex.org/W2095592798","https://openalex.org/W2106300334","https://openalex.org/W2108537850","https://openalex.org/W2125896931","https://openalex.org/W2136651702","https://openalex.org/W2139475827","https://openalex.org/W2139479830","https://openalex.org/W2142645932","https://openalex.org/W2142926575","https://openalex.org/W2152473410","https://openalex.org/W2152949245","https://openalex.org/W2161969291","https://openalex.org/W2163272476","https://openalex.org/W2166623283","https://openalex.org/W2167542692","https://openalex.org/W2169671170","https://openalex.org/W2911709767"],"related_works":["https://openalex.org/W2139561767","https://openalex.org/W2972620127","https://openalex.org/W2981141433","https://openalex.org/W2349354464","https://openalex.org/W2948191189","https://openalex.org/W128884630","https://openalex.org/W2949709491","https://openalex.org/W2905493506","https://openalex.org/W1987397303","https://openalex.org/W1992486622"],"abstract_inverted_index":null,"counts_by_year":[{"year":2023,"cited_by_count":1},{"year":2020,"cited_by_count":1},{"year":2018,"cited_by_count":1},{"year":2017,"cited_by_count":1},{"year":2016,"cited_by_count":3},{"year":2015,"cited_by_count":2},{"year":2014,"cited_by_count":2},{"year":2013,"cited_by_count":3},{"year":2012,"cited_by_count":3}],"updated_date":"2026-04-05T17:49:38.594831","created_date":"2025-10-10T00:00:00"}
