{"id":"https://openalex.org/W2136724559","doi":"https://doi.org/10.1109/cvpr.2012.6248017","title":"Pedestrian detection at 100 frames per second","display_name":"Pedestrian detection at 100 frames per second","publication_year":2012,"publication_date":"2012-06-01","ids":{"openalex":"https://openalex.org/W2136724559","doi":"https://doi.org/10.1109/cvpr.2012.6248017","mag":"2136724559"},"language":"en","primary_location":{"id":"doi:10.1109/cvpr.2012.6248017","is_oa":false,"landing_page_url":"https://doi.org/10.1109/cvpr.2012.6248017","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2012 IEEE Conference on Computer Vision and Pattern Recognition","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/A5111700767","display_name":"R.E. Benenson","orcid":null},"institutions":[{"id":"https://openalex.org/I99464096","display_name":"KU Leuven","ror":"https://ror.org/05f950310","country_code":"BE","type":"education","lineage":["https://openalex.org/I99464096"]}],"countries":["BE"],"is_corresponding":true,"raw_author_name":"R. Benenson","raw_affiliation_strings":["ESAT-PSI-VISICS/IBBT, Katholieke Universiteit Leuven, Belgium","ESAT-PSI-VISICS/IBBT, Katholieke Universiteit Leuven, Belgium#TAB#"],"affiliations":[{"raw_affiliation_string":"ESAT-PSI-VISICS/IBBT, Katholieke Universiteit Leuven, Belgium","institution_ids":["https://openalex.org/I99464096"]},{"raw_affiliation_string":"ESAT-PSI-VISICS/IBBT, Katholieke Universiteit Leuven, Belgium#TAB#","institution_ids":["https://openalex.org/I99464096"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5076723993","display_name":"Markus Mathias","orcid":null},"institutions":[{"id":"https://openalex.org/I99464096","display_name":"KU Leuven","ror":"https://ror.org/05f950310","country_code":"BE","type":"education","lineage":["https://openalex.org/I99464096"]}],"countries":["BE"],"is_corresponding":false,"raw_author_name":"M. Mathias","raw_affiliation_strings":["ESAT-PSI-VISICS/IBBT, Katholieke Universiteit Leuven, Belgium","ESAT-PSI-VISICS/IBBT, Katholieke Universiteit Leuven, Belgium#TAB#"],"affiliations":[{"raw_affiliation_string":"ESAT-PSI-VISICS/IBBT, Katholieke Universiteit Leuven, Belgium","institution_ids":["https://openalex.org/I99464096"]},{"raw_affiliation_string":"ESAT-PSI-VISICS/IBBT, Katholieke Universiteit Leuven, Belgium#TAB#","institution_ids":["https://openalex.org/I99464096"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5052236177","display_name":"Radu Timofte","orcid":"https://orcid.org/0000-0002-1478-0402"},"institutions":[{"id":"https://openalex.org/I99464096","display_name":"KU Leuven","ror":"https://ror.org/05f950310","country_code":"BE","type":"education","lineage":["https://openalex.org/I99464096"]}],"countries":["BE"],"is_corresponding":false,"raw_author_name":"R. Timofte","raw_affiliation_strings":["ESAT-PSI-VISICS/IBBT, Katholieke Universiteit Leuven, Belgium","ESAT-PSI-VISICS/IBBT, Katholieke Universiteit Leuven, Belgium#TAB#"],"affiliations":[{"raw_affiliation_string":"ESAT-PSI-VISICS/IBBT, Katholieke Universiteit Leuven, Belgium","institution_ids":["https://openalex.org/I99464096"]},{"raw_affiliation_string":"ESAT-PSI-VISICS/IBBT, Katholieke Universiteit Leuven, Belgium#TAB#","institution_ids":["https://openalex.org/I99464096"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5017666679","display_name":"L. Van Gool","orcid":null},"institutions":[{"id":"https://openalex.org/I99464096","display_name":"KU Leuven","ror":"https://ror.org/05f950310","country_code":"BE","type":"education","lineage":["https://openalex.org/I99464096"]}],"countries":["BE"],"is_corresponding":false,"raw_author_name":"L. Van Gool","raw_affiliation_strings":["ESAT-PSI-VISICS/IBBT, Katholieke Universiteit Leuven, Belgium","ESAT-PSI-VISICS/IBBT, Katholieke Universiteit Leuven, Belgium#TAB#"],"affiliations":[{"raw_affiliation_string":"ESAT-PSI-VISICS/IBBT, Katholieke Universiteit Leuven, Belgium","institution_ids":["https://openalex.org/I99464096"]},{"raw_affiliation_string":"ESAT-PSI-VISICS/IBBT, Katholieke Universiteit Leuven, Belgium#TAB#","institution_ids":["https://openalex.org/I99464096"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5111700767"],"corresponding_institution_ids":["https://openalex.org/I99464096"],"apc_list":null,"apc_paid":null,"fwci":64.8993,"has_fulltext":false,"cited_by_count":528,"citation_normalized_percentile":{"value":0.99948122,"is_in_top_1_percent":true,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":94,"max":100},"biblio":{"volume":null,"issue":null,"first_page":"2903","last_page":"2910"},"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/T10627","display_name":"Advanced Image and Video Retrieval Techniques","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/T10036","display_name":"Advanced Neural Network Applications","score":0.9993000030517578,"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/pedestrian-detection","display_name":"Pedestrian detection","score":0.8596832752227783},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.813263475894928},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.7160088419914246},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.6972393989562988},{"id":"https://openalex.org/keywords/pedestrian","display_name":"Pedestrian","score":0.6038857698440552},{"id":"https://openalex.org/keywords/monocular","display_name":"Monocular","score":0.5687519907951355},{"id":"https://openalex.org/keywords/detector","display_name":"Detector","score":0.5655698776245117},{"id":"https://openalex.org/keywords/context","display_name":"Context (archaeology)","score":0.5629572868347168},{"id":"https://openalex.org/keywords/computation","display_name":"Computation","score":0.5258386731147766},{"id":"https://openalex.org/keywords/object-detection","display_name":"Object detection","score":0.4826563000679016},{"id":"https://openalex.org/keywords/stereopsis","display_name":"Stereopsis","score":0.45439743995666504},{"id":"https://openalex.org/keywords/frame-rate","display_name":"Frame rate","score":0.44057926535606384},{"id":"https://openalex.org/keywords/computer-graphics","display_name":"Computer graphics (images)","score":0.3711916208267212},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.20009705424308777},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.08305352926254272},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.07728826999664307}],"concepts":[{"id":"https://openalex.org/C2780156472","wikidata":"https://www.wikidata.org/wiki/Q2355550","display_name":"Pedestrian detection","level":3,"score":0.8596832752227783},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.813263475894928},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7160088419914246},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.6972393989562988},{"id":"https://openalex.org/C2777113093","wikidata":"https://www.wikidata.org/wiki/Q221488","display_name":"Pedestrian","level":2,"score":0.6038857698440552},{"id":"https://openalex.org/C65909025","wikidata":"https://www.wikidata.org/wiki/Q1945033","display_name":"Monocular","level":2,"score":0.5687519907951355},{"id":"https://openalex.org/C94915269","wikidata":"https://www.wikidata.org/wiki/Q1834857","display_name":"Detector","level":2,"score":0.5655698776245117},{"id":"https://openalex.org/C2779343474","wikidata":"https://www.wikidata.org/wiki/Q3109175","display_name":"Context (archaeology)","level":2,"score":0.5629572868347168},{"id":"https://openalex.org/C45374587","wikidata":"https://www.wikidata.org/wiki/Q12525525","display_name":"Computation","level":2,"score":0.5258386731147766},{"id":"https://openalex.org/C2776151529","wikidata":"https://www.wikidata.org/wiki/Q3045304","display_name":"Object detection","level":3,"score":0.4826563000679016},{"id":"https://openalex.org/C68537008","wikidata":"https://www.wikidata.org/wiki/Q247932","display_name":"Stereopsis","level":2,"score":0.45439743995666504},{"id":"https://openalex.org/C3261483","wikidata":"https://www.wikidata.org/wiki/Q119565","display_name":"Frame rate","level":2,"score":0.44057926535606384},{"id":"https://openalex.org/C121684516","wikidata":"https://www.wikidata.org/wiki/Q7600677","display_name":"Computer graphics (images)","level":1,"score":0.3711916208267212},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.20009705424308777},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.08305352926254272},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.07728826999664307},{"id":"https://openalex.org/C22212356","wikidata":"https://www.wikidata.org/wiki/Q775325","display_name":"Transport engineering","level":1,"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/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.0},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/cvpr.2012.6248017","is_oa":false,"landing_page_url":"https://doi.org/10.1109/cvpr.2012.6248017","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2012 IEEE Conference on Computer Vision and Pattern Recognition","raw_type":"proceedings-article"},{"id":"pmh:oai:lirias2repo.kuleuven.be:123456789/349807","is_oa":false,"landing_page_url":"https://lirias.kuleuven.be/bitstream/123456789/349807/3/3442.pdf","pdf_url":null,"source":{"id":"https://openalex.org/S4306401954","display_name":"Lirias (KU Leuven)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I99464096","host_organization_name":"KU Leuven","host_organization_lineage":["https://openalex.org/I99464096"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"IEEE computer society conference on computer vision and pattern recognition - CVPR 2012, Providence, Rhode Island, USA, 18-20 June 2012","raw_type":"info:eu-repo/semantics/publishedVersion"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Sustainable cities and communities","score":0.7599999904632568,"id":"https://metadata.un.org/sdg/11"}],"awards":[],"funders":[{"id":"https://openalex.org/F4320309480","display_name":"Nvidia","ror":"https://ror.org/03jdj4y14"},{"id":"https://openalex.org/F4320322622","display_name":"Toyota Motor Corporation","ror":"https://ror.org/02zqm6r10"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":27,"referenced_works":["https://openalex.org/W1560380655","https://openalex.org/W1595717062","https://openalex.org/W1600255690","https://openalex.org/W1861470324","https://openalex.org/W2031454541","https://openalex.org/W2036989445","https://openalex.org/W2044313232","https://openalex.org/W2047166686","https://openalex.org/W2077513643","https://openalex.org/W2099355420","https://openalex.org/W2104511990","https://openalex.org/W2113201641","https://openalex.org/W2115124532","https://openalex.org/W2123296323","https://openalex.org/W2135502357","https://openalex.org/W2159386181","https://openalex.org/W2161337244","https://openalex.org/W2161969291","https://openalex.org/W2518411466","https://openalex.org/W3097096317","https://openalex.org/W6633519119","https://openalex.org/W6635643652","https://openalex.org/W6635755983","https://openalex.org/W6639341011","https://openalex.org/W6662161264","https://openalex.org/W6680075925","https://openalex.org/W6683948607"],"related_works":["https://openalex.org/W2972620127","https://openalex.org/W2981141433","https://openalex.org/W2087456682","https://openalex.org/W2398548367","https://openalex.org/W2064421702","https://openalex.org/W2017236227","https://openalex.org/W2510234973","https://openalex.org/W1963814307","https://openalex.org/W2624903463","https://openalex.org/W2051061664"],"abstract_inverted_index":{"We":[0,46],"present":[1],"a":[2,49,61],"new":[3,50],"pedestrian":[4],"detector":[5],"that":[6],"improves":[7],"both":[8],"in":[9],"speed":[10,30],"and":[11,20],"quality":[12,41],"over":[13],"state-of-the-art.":[14],"By":[15],"efficiently":[16],"handling":[17],"different":[18],"scales":[19],"transferring":[21],"computation":[22],"from":[23,57,74],"test":[24],"time":[25],"to":[26,77],"training":[27],"time,":[28],"detection":[29],"is":[31],"improved.":[32],"When":[33],"processing":[34,71],"monocular":[35],"images,":[36],"our":[37],"system":[38],"provides":[39],"high":[40],"detections":[42,78],"at":[43],"50":[44],"fps.":[45],"also":[47],"propose":[48],"method":[51],"for":[52],"exploiting":[53],"geometric":[54],"context":[55],"extracted":[56],"stereo":[58],"images.":[59],"On":[60],"single":[62],"CPU+GPU":[63],"desktop":[64],"machine,":[65],"we":[66],"reach":[67],"135":[68],"fps,":[69],"when":[70],"street":[72],"scenes,":[73],"rectified":[75],"input":[76],"output.":[79]},"counts_by_year":[{"year":2025,"cited_by_count":2},{"year":2024,"cited_by_count":2},{"year":2023,"cited_by_count":6},{"year":2022,"cited_by_count":7},{"year":2021,"cited_by_count":13},{"year":2020,"cited_by_count":15},{"year":2019,"cited_by_count":38},{"year":2018,"cited_by_count":60},{"year":2017,"cited_by_count":60},{"year":2016,"cited_by_count":91},{"year":2015,"cited_by_count":90},{"year":2014,"cited_by_count":79},{"year":2013,"cited_by_count":58},{"year":2012,"cited_by_count":6}],"updated_date":"2026-03-28T06:11:35.319607","created_date":"2025-10-10T00:00:00"}