{"id":"https://openalex.org/W2153062878","doi":"https://doi.org/10.1109/cvpr.2010.5540218","title":"Learning appearance in virtual scenarios for pedestrian detection","display_name":"Learning appearance in virtual scenarios for pedestrian detection","publication_year":2010,"publication_date":"2010-06-01","ids":{"openalex":"https://openalex.org/W2153062878","doi":"https://doi.org/10.1109/cvpr.2010.5540218","mag":"2153062878"},"language":"en","primary_location":{"id":"doi:10.1109/cvpr.2010.5540218","is_oa":false,"landing_page_url":"https://doi.org/10.1109/cvpr.2010.5540218","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2010 IEEE Computer Society 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/A5107963786","display_name":"Javier Mar\u00edn","orcid":"https://orcid.org/0000-0002-6270-2310"},"institutions":[{"id":"https://openalex.org/I123044942","display_name":"Universitat Aut\u00f2noma de Barcelona","ror":"https://ror.org/052g8jq94","country_code":"ES","type":"education","lineage":["https://openalex.org/I123044942"]}],"countries":["ES"],"is_corresponding":true,"raw_author_name":"Javier Marin","raw_affiliation_strings":["Computer Vision Center and Computer Science Dpt., Universidad Autonoma de Barcelona, Barcelona, Spain"],"affiliations":[{"raw_affiliation_string":"Computer Vision Center and Computer Science Dpt., Universidad Autonoma de Barcelona, Barcelona, Spain","institution_ids":["https://openalex.org/I123044942"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5004903288","display_name":"David V\u00e1zquez","orcid":"https://orcid.org/0000-0002-2845-8158"},"institutions":[{"id":"https://openalex.org/I123044942","display_name":"Universitat Aut\u00f2noma de Barcelona","ror":"https://ror.org/052g8jq94","country_code":"ES","type":"education","lineage":["https://openalex.org/I123044942"]}],"countries":["ES"],"is_corresponding":false,"raw_author_name":"David Vazquez","raw_affiliation_strings":["Computer Vision Center and Computer Science Dpt., Universidad Autonoma de Barcelona, Barcelona, Spain"],"affiliations":[{"raw_affiliation_string":"Computer Vision Center and Computer Science Dpt., Universidad Autonoma de Barcelona, Barcelona, Spain","institution_ids":["https://openalex.org/I123044942"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5080363285","display_name":"David Ger\u00f3nimo","orcid":null},"institutions":[{"id":"https://openalex.org/I123044942","display_name":"Universitat Aut\u00f2noma de Barcelona","ror":"https://ror.org/052g8jq94","country_code":"ES","type":"education","lineage":["https://openalex.org/I123044942"]}],"countries":["ES"],"is_corresponding":false,"raw_author_name":"David Geronimo","raw_affiliation_strings":["Computer Vision Center and Computer Science Dpt., Universidad Autonoma de Barcelona, Barcelona, Spain"],"affiliations":[{"raw_affiliation_string":"Computer Vision Center and Computer Science Dpt., Universidad Autonoma de Barcelona, Barcelona, Spain","institution_ids":["https://openalex.org/I123044942"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5087248790","display_name":"Antonio M. L\u00f3pez","orcid":"https://orcid.org/0000-0002-6979-5783"},"institutions":[{"id":"https://openalex.org/I123044942","display_name":"Universitat Aut\u00f2noma de Barcelona","ror":"https://ror.org/052g8jq94","country_code":"ES","type":"education","lineage":["https://openalex.org/I123044942"]}],"countries":["ES"],"is_corresponding":false,"raw_author_name":"Antonio M. Lopez","raw_affiliation_strings":["Computer Vision Center and Computer Science Dpt., Universidad Autonoma de Barcelona, Barcelona, Spain"],"affiliations":[{"raw_affiliation_string":"Computer Vision Center and Computer Science Dpt., Universidad Autonoma de Barcelona, Barcelona, Spain","institution_ids":["https://openalex.org/I123044942"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5107963786"],"corresponding_institution_ids":["https://openalex.org/I123044942"],"apc_list":null,"apc_paid":null,"fwci":10.9905,"has_fulltext":false,"cited_by_count":171,"citation_normalized_percentile":{"value":0.98789044,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":97,"max":100},"biblio":{"volume":null,"issue":null,"first_page":"137","last_page":"144"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10331","display_name":"Video Surveillance and Tracking Methods","score":0.9998000264167786,"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":0.9998000264167786,"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"}},{"id":"https://openalex.org/T11099","display_name":"Autonomous Vehicle Technology and Safety","score":0.9987999796867371,"subfield":{"id":"https://openalex.org/subfields/2203","display_name":"Automotive Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/pedestrian-detection","display_name":"Pedestrian detection","score":0.9114210605621338},{"id":"https://openalex.org/keywords/pedestrian","display_name":"Pedestrian","score":0.851679801940918},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.738379955291748},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6736794710159302},{"id":"https://openalex.org/keywords/benchmarking","display_name":"Benchmarking","score":0.5556735396385193},{"id":"https://openalex.org/keywords/support-vector-machine","display_name":"Support vector machine","score":0.5502193570137024},{"id":"https://openalex.org/keywords/classifier","display_name":"Classifier (UML)","score":0.5164518356323242},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.47798246145248413},{"id":"https://openalex.org/keywords/key","display_name":"Key (lock)","score":0.4610111117362976},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.4291471242904663},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.42839616537094116},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.11538338661193848},{"id":"https://openalex.org/keywords/computer-security","display_name":"Computer security","score":0.06957247853279114}],"concepts":[{"id":"https://openalex.org/C2780156472","wikidata":"https://www.wikidata.org/wiki/Q2355550","display_name":"Pedestrian detection","level":3,"score":0.9114210605621338},{"id":"https://openalex.org/C2777113093","wikidata":"https://www.wikidata.org/wiki/Q221488","display_name":"Pedestrian","level":2,"score":0.851679801940918},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.738379955291748},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6736794710159302},{"id":"https://openalex.org/C86251818","wikidata":"https://www.wikidata.org/wiki/Q816754","display_name":"Benchmarking","level":2,"score":0.5556735396385193},{"id":"https://openalex.org/C12267149","wikidata":"https://www.wikidata.org/wiki/Q282453","display_name":"Support vector machine","level":2,"score":0.5502193570137024},{"id":"https://openalex.org/C95623464","wikidata":"https://www.wikidata.org/wiki/Q1096149","display_name":"Classifier (UML)","level":2,"score":0.5164518356323242},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.47798246145248413},{"id":"https://openalex.org/C26517878","wikidata":"https://www.wikidata.org/wiki/Q228039","display_name":"Key (lock)","level":2,"score":0.4610111117362976},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.4291471242904663},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.42839616537094116},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.11538338661193848},{"id":"https://openalex.org/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","level":1,"score":0.06957247853279114},{"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/C162853370","wikidata":"https://www.wikidata.org/wiki/Q39809","display_name":"Marketing","level":1,"score":0.0},{"id":"https://openalex.org/C144133560","wikidata":"https://www.wikidata.org/wiki/Q4830453","display_name":"Business","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/cvpr.2010.5540218","is_oa":false,"landing_page_url":"https://doi.org/10.1109/cvpr.2010.5540218","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2010 IEEE Computer Society Conference on Computer Vision and Pattern Recognition","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.6800000071525574,"id":"https://metadata.un.org/sdg/11","display_name":"Sustainable cities and communities"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":22,"referenced_works":["https://openalex.org/W396735907","https://openalex.org/W1663973292","https://openalex.org/W2009086942","https://openalex.org/W2070480229","https://openalex.org/W2106413791","https://openalex.org/W2107775979","https://openalex.org/W2108004794","https://openalex.org/W2120419212","https://openalex.org/W2121955477","https://openalex.org/W2125896931","https://openalex.org/W2132549764","https://openalex.org/W2139479830","https://openalex.org/W2146036766","https://openalex.org/W2152926413","https://openalex.org/W2154740476","https://openalex.org/W2161158016","https://openalex.org/W2161969291","https://openalex.org/W2548197316","https://openalex.org/W4285719527","https://openalex.org/W6613797824","https://openalex.org/W6629510986","https://openalex.org/W6683727225"],"related_works":["https://openalex.org/W4238897586","https://openalex.org/W435179959","https://openalex.org/W2619091065","https://openalex.org/W2059640416","https://openalex.org/W1490753184","https://openalex.org/W2284465472","https://openalex.org/W2291782699","https://openalex.org/W2972620127","https://openalex.org/W2981141433","https://openalex.org/W2330964916"],"abstract_inverted_index":{"Detecting":[0],"pedestrians":[1],"in":[2,37,45,65,74,93],"images":[3,111],"is":[4,57,120],"a":[5,32,53,58,94,114,127],"key":[6],"functionality":[7],"to":[8,155],"avoid":[9],"vehicle-to-pedestrian":[10],"collisions.":[11],"The":[12,117,136],"most":[13],"promising":[14],"detectors":[15],"rely":[16],"on":[17],"appearance-based":[18,79],"pedestrian":[19,33,43,66,80,103],"classifiers":[20,81,92,156],"trained":[21],"with":[22,122],"labelled":[23],"samples.":[24],"This":[25,106],"paper":[26],"addresses":[27],"the":[28,123],"following":[29],"question:":[30],"can":[31],"appearance":[34],"model":[35],"learnt":[36,83,129],"virtual":[38,75,141,148],"scenarios":[39,76],"work":[40],"successfully":[41],"for":[42,63,102],"detection":[44,104],"real":[46,109,134,150],"images?":[47],"(Fig.":[48],"1).":[49],"Our":[50],"experiments":[51],"suggest":[52],"positive":[54],"answer,":[55],"which":[56],"new":[59],"and":[60,77,86,149],"relevant":[61],"conclusion":[62],"research":[64],"detection.":[67],"More":[68],"specifically,":[69],"we":[70],"record":[71],"training":[72,152],"sequences":[73],"then":[78],"are":[82],"using":[84,130],"HOG":[85],"linear":[87],"SVM.":[88],"We":[89],"test":[90],"such":[91],"publicly":[95],"available":[96],"dataset":[97,107],"provided":[98],"by":[99,126],"Daimler":[100],"AG":[101],"benchmarking.":[105],"contains":[108],"world":[110],"acquired":[112],"from":[113,133],"moving":[115],"car.":[116],"obtained":[118],"result":[119],"compared":[121],"one":[124],"given":[125],"classifier":[128],"samples":[131,142],"coming":[132],"images.":[135],"comparison":[137],"reveals":[138],"that,":[139],"although":[140],"were":[143],"not":[144],"specially":[145],"selected,":[146],"both":[147],"based":[151],"give":[153],"rise":[154],"of":[157],"similar":[158],"performance.":[159]},"counts_by_year":[{"year":2024,"cited_by_count":6},{"year":2023,"cited_by_count":6},{"year":2022,"cited_by_count":4},{"year":2021,"cited_by_count":10},{"year":2020,"cited_by_count":16},{"year":2019,"cited_by_count":23},{"year":2018,"cited_by_count":19},{"year":2017,"cited_by_count":20},{"year":2016,"cited_by_count":14},{"year":2015,"cited_by_count":8},{"year":2014,"cited_by_count":11},{"year":2013,"cited_by_count":20},{"year":2012,"cited_by_count":6}],"updated_date":"2026-04-04T16:13:02.066488","created_date":"2025-10-10T00:00:00"}
