{"id":"https://openalex.org/W2041059661","doi":"https://doi.org/10.1109/tits.2014.2342936","title":"A Pedestrian-Detection Method Based on Heterogeneous Features and Ensemble of Multi-View\u2013Pose Parts","display_name":"A Pedestrian-Detection Method Based on Heterogeneous Features and Ensemble of Multi-View\u2013Pose Parts","publication_year":2014,"publication_date":"2014-01-01","ids":{"openalex":"https://openalex.org/W2041059661","doi":"https://doi.org/10.1109/tits.2014.2342936","mag":"2041059661"},"language":"en","primary_location":{"id":"doi:10.1109/tits.2014.2342936","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tits.2014.2342936","pdf_url":null,"source":{"id":"https://openalex.org/S144771191","display_name":"IEEE Transactions on Intelligent Transportation Systems","issn_l":"1524-9050","issn":["1524-9050","1558-0016"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Intelligent Transportation Systems","raw_type":"journal-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/A5100432026","display_name":"Wei Liu","orcid":"https://orcid.org/0009-0008-0901-7518"},"institutions":[{"id":"https://openalex.org/I9224756","display_name":"Northeastern University","ror":"https://ror.org/03awzbc87","country_code":"CN","type":"education","lineage":["https://openalex.org/I9224756"]},{"id":"https://openalex.org/I4210134419","display_name":"Neusoft (China)","ror":"https://ror.org/02zc84r97","country_code":"CN","type":"company","lineage":["https://openalex.org/I4210134419"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Wei Liu","raw_affiliation_strings":["Research Academy, Neusoft Corporation, Shenyang, China","Research Academy, Northeastern University,Shenyang,China"],"affiliations":[{"raw_affiliation_string":"Research Academy, Neusoft Corporation, Shenyang, China","institution_ids":["https://openalex.org/I4210134419"]},{"raw_affiliation_string":"Research Academy, Northeastern University,Shenyang,China","institution_ids":["https://openalex.org/I9224756"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5068708887","display_name":"Bing Yu","orcid":"https://orcid.org/0000-0003-0237-7824"},"institutions":[{"id":"https://openalex.org/I4210134419","display_name":"Neusoft (China)","ror":"https://ror.org/02zc84r97","country_code":"CN","type":"company","lineage":["https://openalex.org/I4210134419"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Bing Yu","raw_affiliation_strings":["Advanced Automotive Electronics Technology Research Center, Neusoft Corporation, Shenyang, China","Adv. Automotive Electron. Technol. Res. Center, Neusoft Corp., Shenyang, China"],"affiliations":[{"raw_affiliation_string":"Advanced Automotive Electronics Technology Research Center, Neusoft Corporation, Shenyang, China","institution_ids":["https://openalex.org/I4210134419"]},{"raw_affiliation_string":"Adv. Automotive Electron. Technol. Res. Center, Neusoft Corp., Shenyang, China","institution_ids":["https://openalex.org/I4210134419"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5069317955","display_name":"Chengwei Duan","orcid":"https://orcid.org/0000-0002-3655-0149"},"institutions":[{"id":"https://openalex.org/I4210134419","display_name":"Neusoft (China)","ror":"https://ror.org/02zc84r97","country_code":"CN","type":"company","lineage":["https://openalex.org/I4210134419"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Chengwei Duan","raw_affiliation_strings":["Advanced Automotive Electronics Technology Research Center, Neusoft Corporation, Shenyang, China","Adv. Automotive Electron. Technol. Res. Center, Neusoft Corp., Shenyang, China"],"affiliations":[{"raw_affiliation_string":"Advanced Automotive Electronics Technology Research Center, Neusoft Corporation, Shenyang, China","institution_ids":["https://openalex.org/I4210134419"]},{"raw_affiliation_string":"Adv. Automotive Electron. Technol. Res. Center, Neusoft Corp., Shenyang, China","institution_ids":["https://openalex.org/I4210134419"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100942128","display_name":"Liying Chai","orcid":null},"institutions":[{"id":"https://openalex.org/I4210134419","display_name":"Neusoft (China)","ror":"https://ror.org/02zc84r97","country_code":"CN","type":"company","lineage":["https://openalex.org/I4210134419"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Liying Chai","raw_affiliation_strings":["Advanced Automotive Electronics Technology Research Center, Neusoft Corporation, Shenyang, China","Adv. Automotive Electron. Technol. Res. Center, Neusoft Corp., Shenyang, China"],"affiliations":[{"raw_affiliation_string":"Advanced Automotive Electronics Technology Research Center, Neusoft Corporation, Shenyang, China","institution_ids":["https://openalex.org/I4210134419"]},{"raw_affiliation_string":"Adv. Automotive Electron. Technol. Res. Center, Neusoft Corp., Shenyang, China","institution_ids":["https://openalex.org/I4210134419"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5060014411","display_name":"Huai Yuan","orcid":null},"institutions":[{"id":"https://openalex.org/I4210134419","display_name":"Neusoft (China)","ror":"https://ror.org/02zc84r97","country_code":"CN","type":"company","lineage":["https://openalex.org/I4210134419"]},{"id":"https://openalex.org/I9224756","display_name":"Northeastern University","ror":"https://ror.org/03awzbc87","country_code":"CN","type":"education","lineage":["https://openalex.org/I9224756"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Huai Yuan","raw_affiliation_strings":["Advanced Automotive Electronics Technology Research Center, Neusoft Corporation, Shenyang, China","Research Academy, Northeastern University,Shenyang,China"],"affiliations":[{"raw_affiliation_string":"Advanced Automotive Electronics Technology Research Center, Neusoft Corporation, Shenyang, China","institution_ids":["https://openalex.org/I4210134419"]},{"raw_affiliation_string":"Research Academy, Northeastern University,Shenyang,China","institution_ids":["https://openalex.org/I9224756"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5081905302","display_name":"Hong Zhao","orcid":"https://orcid.org/0000-0002-7820-0171"},"institutions":[{"id":"https://openalex.org/I9224756","display_name":"Northeastern University","ror":"https://ror.org/03awzbc87","country_code":"CN","type":"education","lineage":["https://openalex.org/I9224756"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Hong Zhao","raw_affiliation_strings":["Research Academy, Northeastern University, National Engineering Research Center for Digital Medical Imaging Device, Shenyang, China","Research Academy, Northeastern University,Shenyang,China"],"affiliations":[{"raw_affiliation_string":"Research Academy, Northeastern University, National Engineering Research Center for Digital Medical Imaging Device, Shenyang, China","institution_ids":["https://openalex.org/I9224756"]},{"raw_affiliation_string":"Research Academy, Northeastern University,Shenyang,China","institution_ids":["https://openalex.org/I9224756"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":6,"corresponding_author_ids":["https://openalex.org/A5100432026"],"corresponding_institution_ids":["https://openalex.org/I4210134419","https://openalex.org/I9224756"],"apc_list":null,"apc_paid":null,"fwci":1.951,"has_fulltext":false,"cited_by_count":25,"citation_normalized_percentile":{"value":0.88975041,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":99},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"12"},"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":0.9998000264167786,"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/T10627","display_name":"Advanced Image and Video Retrieval Techniques","score":0.9955000281333923,"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":0.9055220484733582},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.7662997841835022},{"id":"https://openalex.org/keywords/pedestrian","display_name":"Pedestrian","score":0.7300171852111816},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7223110795021057},{"id":"https://openalex.org/keywords/histogram","display_name":"Histogram","score":0.6998931765556335},{"id":"https://openalex.org/keywords/kernel","display_name":"Kernel (algebra)","score":0.6926448345184326},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.5657994747161865},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.5598418712615967},{"id":"https://openalex.org/keywords/detector","display_name":"Detector","score":0.551328182220459},{"id":"https://openalex.org/keywords/local-binary-patterns","display_name":"Local binary patterns","score":0.5305930376052856},{"id":"https://openalex.org/keywords/histogram-of-oriented-gradients","display_name":"Histogram of oriented gradients","score":0.49216192960739136},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.4862917363643646},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.28767967224121094},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.12912172079086304},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.12304764986038208}],"concepts":[{"id":"https://openalex.org/C2780156472","wikidata":"https://www.wikidata.org/wiki/Q2355550","display_name":"Pedestrian detection","level":3,"score":0.9055220484733582},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7662997841835022},{"id":"https://openalex.org/C2777113093","wikidata":"https://www.wikidata.org/wiki/Q221488","display_name":"Pedestrian","level":2,"score":0.7300171852111816},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7223110795021057},{"id":"https://openalex.org/C53533937","wikidata":"https://www.wikidata.org/wiki/Q185020","display_name":"Histogram","level":3,"score":0.6998931765556335},{"id":"https://openalex.org/C74193536","wikidata":"https://www.wikidata.org/wiki/Q574844","display_name":"Kernel (algebra)","level":2,"score":0.6926448345184326},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5657994747161865},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.5598418712615967},{"id":"https://openalex.org/C94915269","wikidata":"https://www.wikidata.org/wiki/Q1834857","display_name":"Detector","level":2,"score":0.551328182220459},{"id":"https://openalex.org/C87335442","wikidata":"https://www.wikidata.org/wiki/Q2494345","display_name":"Local binary patterns","level":4,"score":0.5305930376052856},{"id":"https://openalex.org/C17426736","wikidata":"https://www.wikidata.org/wiki/Q419918","display_name":"Histogram of oriented gradients","level":4,"score":0.49216192960739136},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.4862917363643646},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.28767967224121094},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.12912172079086304},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.12304764986038208},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.0},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"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/C114614502","wikidata":"https://www.wikidata.org/wiki/Q76592","display_name":"Combinatorics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/tits.2014.2342936","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tits.2014.2342936","pdf_url":null,"source":{"id":"https://openalex.org/S144771191","display_name":"IEEE Transactions on Intelligent Transportation Systems","issn_l":"1524-9050","issn":["1524-9050","1558-0016"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Intelligent Transportation Systems","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/11","display_name":"Sustainable cities and communities","score":0.6700000166893005}],"awards":[{"id":"https://openalex.org/G4147479388","display_name":null,"funder_award_id":"61273239","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G4464115299","display_name":null,"funder_award_id":"120418001","funder_id":"https://openalex.org/F4320335787","funder_display_name":"Fundamental Research Funds for the Central Universities"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320335787","display_name":"Fundamental Research Funds for the Central Universities","ror":null}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":50,"referenced_works":["https://openalex.org/W1528249838","https://openalex.org/W1591285480","https://openalex.org/W1608462934","https://openalex.org/W1766717923","https://openalex.org/W1863635071","https://openalex.org/W1906375339","https://openalex.org/W1982764079","https://openalex.org/W1987952463","https://openalex.org/W1992825118","https://openalex.org/W1999853363","https://openalex.org/W2001141328","https://openalex.org/W2031454541","https://openalex.org/W2062823809","https://openalex.org/W2066154719","https://openalex.org/W2090682434","https://openalex.org/W2097324787","https://openalex.org/W2099682536","https://openalex.org/W2106300334","https://openalex.org/W2107775979","https://openalex.org/W2108444897","https://openalex.org/W2115878022","https://openalex.org/W2118527389","https://openalex.org/W2120419212","https://openalex.org/W2120907774","https://openalex.org/W2121955477","https://openalex.org/W2131533724","https://openalex.org/W2134203912","https://openalex.org/W2139475827","https://openalex.org/W2139479830","https://openalex.org/W2142645932","https://openalex.org/W2147726075","https://openalex.org/W2150298366","https://openalex.org/W2152473410","https://openalex.org/W2161969291","https://openalex.org/W2162846286","https://openalex.org/W2163352848","https://openalex.org/W2168356304","https://openalex.org/W2168975192","https://openalex.org/W2169671170","https://openalex.org/W2232299297","https://openalex.org/W2532687792","https://openalex.org/W2548197316","https://openalex.org/W3097096317","https://openalex.org/W6635441548","https://openalex.org/W6639181237","https://openalex.org/W6639934059","https://openalex.org/W6674662834","https://openalex.org/W6676079856","https://openalex.org/W6679563583","https://openalex.org/W6682153876"],"related_works":["https://openalex.org/W2972620127","https://openalex.org/W2581696209","https://openalex.org/W2020430625","https://openalex.org/W2044065526","https://openalex.org/W2981141433","https://openalex.org/W2955952267","https://openalex.org/W2058306460","https://openalex.org/W2083564146","https://openalex.org/W2076436625","https://openalex.org/W2049095871"],"abstract_inverted_index":{"Vision-based":[0],"pedestrian":[1,61,85,110],"detection":[2,10,125],"remains":[3],"a":[4,36,71],"challenging":[5],"task,":[6],"so":[7],"far.":[8],"The":[9],"performance":[11],"often":[12],"suffers":[13],"from":[14],"the":[15,20,24,60,99,106,114,119],"various":[16],"appearances":[17],"of":[18,51,109],"pedestrians,":[19],"illumination":[21,65],"changes,":[22],"and":[23,54,67,88],"possible":[25],"partial":[26,89],"occlusions.":[27,90],"Aiming":[28],"at":[29],"resolving":[30],"these":[31],"challenges,":[32],"in":[33,80,93],"this":[34],"paper,":[35],"new":[37],"linear":[38],"kernel":[39],"function":[40],"is":[41,78],"proposed":[42,100,120],"to":[43,64,82],"effectively":[44],"combine":[45],"two":[46],"heterogeneous":[47],"features,":[48],"i.e.,":[49],"histogram":[50],"oriented":[52],"gradient":[53],"local":[55],"binary":[56],"pattern,":[57],"which":[58],"enhances":[59],"description":[62,107],"ability":[63],"conditions":[66],"cluttered":[68],"background.":[69],"Then,":[70],"novel":[72],"multi-view-pose":[73],"part":[74],"ensemble":[75,117],"(MVPPE)":[76],"detector":[77,122],"proposed,":[79],"order":[81],"better":[83],"handle":[84],"variability,":[86],"views,":[87],"Experimental":[91],"results":[92],"public":[94],"data":[95],"sets":[96],"demonstrate":[97],"that":[98],"feature":[101],"combination":[102],"method":[103],"significantly":[104],"improves":[105],"capabilities":[108],"features.":[111],"Compared":[112],"with":[113],"existing":[115],"multipart":[116],"approaches,":[118],"MVPPE":[121],"boosts":[123],"higher":[124],"accuracy.":[126]},"counts_by_year":[{"year":2022,"cited_by_count":1},{"year":2021,"cited_by_count":2},{"year":2020,"cited_by_count":5},{"year":2019,"cited_by_count":6},{"year":2018,"cited_by_count":3},{"year":2017,"cited_by_count":1},{"year":2016,"cited_by_count":6},{"year":2015,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
