{"id":"https://openalex.org/W2074777933","doi":"https://doi.org/10.1109/cvpr.2015.7298784","title":"Filtered channel features for pedestrian detection","display_name":"Filtered channel features for pedestrian detection","publication_year":2015,"publication_date":"2015-06-01","ids":{"openalex":"https://openalex.org/W2074777933","doi":"https://doi.org/10.1109/cvpr.2015.7298784","mag":"2074777933"},"language":"en","primary_location":{"id":"doi:10.1109/cvpr.2015.7298784","is_oa":false,"landing_page_url":"https://doi.org/10.1109/cvpr.2015.7298784","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2015 IEEE Conference on Computer Vision and Pattern Recognition (CVPR)","raw_type":"proceedings-article"},"type":"preprint","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/A5100412142","display_name":"Shanshan Zhang","orcid":"https://orcid.org/0000-0003-4013-6300"},"institutions":[{"id":"https://openalex.org/I4210109712","display_name":"Max Planck Institute for Informatics","ror":"https://ror.org/01w19ak89","country_code":"DE","type":"facility","lineage":["https://openalex.org/I149899117","https://openalex.org/I4210109712"]}],"countries":["DE"],"is_corresponding":true,"raw_author_name":"Shanshan Zhang","raw_affiliation_strings":["Max Planck Institute for Informatics, Saarbrücken, Germany","Max Planck Institute for informatics, Saarbr\u00fccken, Germany"],"affiliations":[{"raw_affiliation_string":"Max Planck Institute for Informatics, Saarbrücken, Germany","institution_ids":["https://openalex.org/I4210109712"]},{"raw_affiliation_string":"Max Planck Institute for informatics, Saarbr\u00fccken, Germany","institution_ids":["https://openalex.org/I4210109712"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5110628855","display_name":"Rodrigo Benenson","orcid":null},"institutions":[{"id":"https://openalex.org/I4210109712","display_name":"Max Planck Institute for Informatics","ror":"https://ror.org/01w19ak89","country_code":"DE","type":"facility","lineage":["https://openalex.org/I149899117","https://openalex.org/I4210109712"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Rodrigo Benenson","raw_affiliation_strings":["Max Planck Institute for Informatics, Saarbrücken, Germany","Max Planck Institute for informatics, Saarbr\u00fccken, Germany"],"affiliations":[{"raw_affiliation_string":"Max Planck Institute for Informatics, Saarbrücken, Germany","institution_ids":["https://openalex.org/I4210109712"]},{"raw_affiliation_string":"Max Planck Institute for informatics, Saarbr\u00fccken, Germany","institution_ids":["https://openalex.org/I4210109712"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5051534545","display_name":"Bernt Schiele","orcid":"https://orcid.org/0000-0001-9683-5237"},"institutions":[{"id":"https://openalex.org/I4210109712","display_name":"Max Planck Institute for Informatics","ror":"https://ror.org/01w19ak89","country_code":"DE","type":"facility","lineage":["https://openalex.org/I149899117","https://openalex.org/I4210109712"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Bernt Schiele","raw_affiliation_strings":["Max Planck Institute for Informatics, Saarbrücken, Germany","Max Planck Institute for informatics, Saarbr\u00fccken, Germany"],"affiliations":[{"raw_affiliation_string":"Max Planck Institute for Informatics, Saarbrücken, Germany","institution_ids":["https://openalex.org/I4210109712"]},{"raw_affiliation_string":"Max Planck Institute for informatics, Saarbr\u00fccken, Germany","institution_ids":["https://openalex.org/I4210109712"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5100412142"],"corresponding_institution_ids":["https://openalex.org/I4210109712"],"apc_list":null,"apc_paid":null,"fwci":36.3131,"has_fulltext":false,"cited_by_count":372,"citation_normalized_percentile":{"value":0.99766858,"is_in_top_1_percent":true,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":99,"max":100},"biblio":{"volume":null,"issue":null,"first_page":"1751","last_page":"1760"},"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/T10036","display_name":"Advanced Neural Network Applications","score":0.9984999895095825,"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":0.9983000159263611,"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/pedestrian-detection","display_name":"Pedestrian detection","score":0.8106435537338257},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.741489052772522},{"id":"https://openalex.org/keywords/pedestrian","display_name":"Pedestrian","score":0.6734715104103088},{"id":"https://openalex.org/keywords/channel","display_name":"Channel (broadcasting)","score":0.6327235102653503},{"id":"https://openalex.org/keywords/filter","display_name":"Filter (signal processing)","score":0.5905566811561584},{"id":"https://openalex.org/keywords/detector","display_name":"Detector","score":0.5401057600975037},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5316081047058105},{"id":"https://openalex.org/keywords/precision-and-recall","display_name":"Precision and recall","score":0.45989492535591125},{"id":"https://openalex.org/keywords/optical-flow","display_name":"Optical flow","score":0.45287689566612244},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.4267652928829193},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.41238272190093994},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.35989367961883545},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.3421502709388733},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.16653016209602356},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.1629084050655365},{"id":"https://openalex.org/keywords/telecommunications","display_name":"Telecommunications","score":0.11491453647613525}],"concepts":[{"id":"https://openalex.org/C2780156472","wikidata":"https://www.wikidata.org/wiki/Q2355550","display_name":"Pedestrian detection","level":3,"score":0.8106435537338257},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.741489052772522},{"id":"https://openalex.org/C2777113093","wikidata":"https://www.wikidata.org/wiki/Q221488","display_name":"Pedestrian","level":2,"score":0.6734715104103088},{"id":"https://openalex.org/C127162648","wikidata":"https://www.wikidata.org/wiki/Q16858953","display_name":"Channel (broadcasting)","level":2,"score":0.6327235102653503},{"id":"https://openalex.org/C106131492","wikidata":"https://www.wikidata.org/wiki/Q3072260","display_name":"Filter (signal processing)","level":2,"score":0.5905566811561584},{"id":"https://openalex.org/C94915269","wikidata":"https://www.wikidata.org/wiki/Q1834857","display_name":"Detector","level":2,"score":0.5401057600975037},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5316081047058105},{"id":"https://openalex.org/C81669768","wikidata":"https://www.wikidata.org/wiki/Q2359161","display_name":"Precision and recall","level":2,"score":0.45989492535591125},{"id":"https://openalex.org/C155542232","wikidata":"https://www.wikidata.org/wiki/Q736111","display_name":"Optical flow","level":3,"score":0.45287689566612244},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.4267652928829193},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.41238272190093994},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.35989367961883545},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.3421502709388733},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.16653016209602356},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.1629084050655365},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.11491453647613525},{"id":"https://openalex.org/C22212356","wikidata":"https://www.wikidata.org/wiki/Q775325","display_name":"Transport engineering","level":1,"score":0.0}],"mesh":[],"locations_count":3,"locations":[{"id":"doi:10.1109/cvpr.2015.7298784","is_oa":false,"landing_page_url":"https://doi.org/10.1109/cvpr.2015.7298784","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2015 IEEE Conference on Computer Vision and Pattern Recognition (CVPR)","raw_type":"proceedings-article"},{"id":"pmh:oai:CiteSeerX.psu:10.1.1.860.7659","is_oa":false,"landing_page_url":"http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.860.7659","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"http://pubman.mpdl.mpg.de/pubman/item/escidoc%3A2103805/component/escidoc%3A2103804/1501.05759.pdf","raw_type":"text"},{"id":"pmh:oai:escidoc.org:escidoc:2104795","is_oa":false,"landing_page_url":"http://hdl.handle.net/11858/00-001M-0000-0025-01BD-3","pdf_url":null,"source":{"id":"https://openalex.org/S7407052962","display_name":"Max Planck Digital Library","issn_l":null,"issn":[],"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"info:eu-repo/semantics/conferenceObject"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/15","display_name":"Life in Land","score":0.7300000190734863}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":57,"referenced_works":["https://openalex.org/W1503398984","https://openalex.org/W1604882328","https://openalex.org/W1650122911","https://openalex.org/W1849007038","https://openalex.org/W1863635071","https://openalex.org/W1903127635","https://openalex.org/W1966456026","https://openalex.org/W1970882497","https://openalex.org/W1976818984","https://openalex.org/W1992825118","https://openalex.org/W1999853363","https://openalex.org/W2024046085","https://openalex.org/W2031454541","https://openalex.org/W2034779469","https://openalex.org/W2066477856","https://openalex.org/W2070480229","https://openalex.org/W2081021369","https://openalex.org/W2084997728","https://openalex.org/W2087546568","https://openalex.org/W2087963033","https://openalex.org/W2092135080","https://openalex.org/W2098064689","https://openalex.org/W2103867000","https://openalex.org/W2107513421","https://openalex.org/W2110226160","https://openalex.org/W2116022929","https://openalex.org/W2117687030","https://openalex.org/W2121955477","https://openalex.org/W2125556102","https://openalex.org/W2133755669","https://openalex.org/W2136705357","https://openalex.org/W2139479830","https://openalex.org/W2150066425","https://openalex.org/W2151049637","https://openalex.org/W2151581521","https://openalex.org/W2152945944","https://openalex.org/W2159386181","https://openalex.org/W2161106546","https://openalex.org/W2161446043","https://openalex.org/W2161969291","https://openalex.org/W2162741153","https://openalex.org/W2168356304","https://openalex.org/W2548197316","https://openalex.org/W2548910458","https://openalex.org/W3102431071","https://openalex.org/W4298181672","https://openalex.org/W6630177651","https://openalex.org/W6636076345","https://openalex.org/W6636787326","https://openalex.org/W6638943231","https://openalex.org/W6639862847","https://openalex.org/W6644092269","https://openalex.org/W6658228311","https://openalex.org/W6666888491","https://openalex.org/W6673819590","https://openalex.org/W6674977583","https://openalex.org/W6785107657"],"related_works":["https://openalex.org/W2392100589","https://openalex.org/W2512789322","https://openalex.org/W2101960027","https://openalex.org/W2197846993","https://openalex.org/W1976827262","https://openalex.org/W2972620127","https://openalex.org/W2981141433","https://openalex.org/W2913302899","https://openalex.org/W3204901196","https://openalex.org/W2810191824"],"abstract_inverted_index":{"This":[0],"paper":[1],"starts":[2],"from":[3],"the":[4,62,87,92],"observation":[5,33],"that":[6],"multiple":[7],"top":[8,59],"performing":[9],"pedestrian":[10],"detectors":[11],"can":[12],"be":[13],"modelled":[14],"by":[15],"using":[16,69],"an":[17],"intermediate":[18],"layer":[19],"filtering":[20],"low-level":[21,73],"features":[22,56,79],"in":[23],"combination":[24],"with":[25],"a":[26,36,50],"boosted":[27],"decision":[28],"forest.":[29],"Based":[30],"on":[31,61,91],"this":[32],"we":[34,57,80],"propose":[35],"unifying":[37],"framework":[38],"and":[39,65,85],"experimentally":[40],"explore":[41],"different":[42],"filter":[43],"families.":[44],"We":[45],"report":[46,86],"extensive":[47],"results":[48,90],"enabling":[49],"systematic":[51],"analysis.":[52],"Using":[53],"filtered":[54],"channel":[55],"obtain":[58],"performance":[60],"challenging":[63],"Caltech":[64,93],"KITTI":[66],"datasets,":[67],"while":[68],"only":[70],"HOG+LUV":[71],"as":[72],"features.":[74],"When":[75],"adding":[76],"optical":[77],"flow":[78],"further":[81],"improve":[82],"detection":[83],"quality":[84],"best":[88],"known":[89],"dataset,":[94],"reaching":[95],"93%":[96],"recall":[97],"at":[98],"1":[99],"FPPI.":[100]},"counts_by_year":[{"year":2025,"cited_by_count":8},{"year":2024,"cited_by_count":8},{"year":2023,"cited_by_count":9},{"year":2022,"cited_by_count":23},{"year":2021,"cited_by_count":27},{"year":2020,"cited_by_count":44},{"year":2019,"cited_by_count":59},{"year":2018,"cited_by_count":64},{"year":2017,"cited_by_count":72},{"year":2016,"cited_by_count":44},{"year":2015,"cited_by_count":14}],"updated_date":"2026-04-05T17:49:38.594831","created_date":"2025-10-10T00:00:00"}