{"id":"https://openalex.org/W2991446536","doi":"https://doi.org/10.1109/itsc.2019.8917065","title":"Leverage of Limb Detection in Pose Estimation for Vulnerable Road Users","display_name":"Leverage of Limb Detection in Pose Estimation for Vulnerable Road Users","publication_year":2019,"publication_date":"2019-10-01","ids":{"openalex":"https://openalex.org/W2991446536","doi":"https://doi.org/10.1109/itsc.2019.8917065","mag":"2991446536"},"language":"en","primary_location":{"id":"doi:10.1109/itsc.2019.8917065","is_oa":false,"landing_page_url":"https://doi.org/10.1109/itsc.2019.8917065","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2019 IEEE Intelligent Transportation Systems Conference (ITSC)","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/A5100321897","display_name":"Sijia Wang","orcid":"https://orcid.org/0009-0005-9204-1508"},"institutions":[{"id":"https://openalex.org/I99065089","display_name":"Tsinghua University","ror":"https://ror.org/03cve4549","country_code":"CN","type":"education","lineage":["https://openalex.org/I99065089"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Sijia Wang","raw_affiliation_strings":["State Key Laboratory of Automotive Safety and Energy, Tsinghua University, Beijing, China"],"affiliations":[{"raw_affiliation_string":"State Key Laboratory of Automotive Safety and Energy, Tsinghua University, Beijing, China","institution_ids":["https://openalex.org/I99065089"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5007686963","display_name":"Fabian B. Flohr","orcid":"https://orcid.org/0000-0002-1499-3790"},"institutions":[{"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"],"is_corresponding":false,"raw_author_name":"Fabian B. Flohr","raw_affiliation_strings":["Environment Perception Department, Daim-ler AG Research and Development, Stuttgart, Germany"],"affiliations":[{"raw_affiliation_string":"Environment Perception Department, Daim-ler AG Research and Development, Stuttgart, Germany","institution_ids":["https://openalex.org/I891521709"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5021568693","display_name":"Hui Xiong","orcid":"https://orcid.org/0000-0001-6556-2299"},"institutions":[{"id":"https://openalex.org/I99065089","display_name":"Tsinghua University","ror":"https://ror.org/03cve4549","country_code":"CN","type":"education","lineage":["https://openalex.org/I99065089"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Hui Xiong","raw_affiliation_strings":["State Key Laboratory of Automotive Safety and Energy, Tsinghua University, Beijing, China"],"affiliations":[{"raw_affiliation_string":"State Key Laboratory of Automotive Safety and Energy, Tsinghua University, Beijing, China","institution_ids":["https://openalex.org/I99065089"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5020028921","display_name":"Tuopu Wen","orcid":"https://orcid.org/0000-0002-3093-765X"},"institutions":[{"id":"https://openalex.org/I99065089","display_name":"Tsinghua University","ror":"https://ror.org/03cve4549","country_code":"CN","type":"education","lineage":["https://openalex.org/I99065089"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Tuopu Wen","raw_affiliation_strings":["State Key Laboratory of Automotive Safety and Energy, Tsinghua University, Beijing, China"],"affiliations":[{"raw_affiliation_string":"State Key Laboratory of Automotive Safety and Energy, Tsinghua University, Beijing, China","institution_ids":["https://openalex.org/I99065089"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5025623657","display_name":"Baofeng Wang","orcid":"https://orcid.org/0000-0003-2485-9509"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Baofeng Wang","raw_affiliation_strings":["Research and Development of Autonomous Driving & Safety, Daimler Greater China Ltd., Beijing, China"],"affiliations":[{"raw_affiliation_string":"Research and Development of Autonomous Driving & Safety, Daimler Greater China Ltd., Beijing, China","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5014512074","display_name":"Mengmeng Yang","orcid":"https://orcid.org/0000-0002-3294-6437"},"institutions":[{"id":"https://openalex.org/I99065089","display_name":"Tsinghua University","ror":"https://ror.org/03cve4549","country_code":"CN","type":"education","lineage":["https://openalex.org/I99065089"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Mengmeng Yang","raw_affiliation_strings":["State Key Laboratory of Automotive Safety and Energy, Tsinghua University, Beijing, China"],"affiliations":[{"raw_affiliation_string":"State Key Laboratory of Automotive Safety and Energy, Tsinghua University, Beijing, China","institution_ids":["https://openalex.org/I99065089"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100735948","display_name":"Diange Yang","orcid":"https://orcid.org/0000-0002-0074-2448"},"institutions":[{"id":"https://openalex.org/I99065089","display_name":"Tsinghua University","ror":"https://ror.org/03cve4549","country_code":"CN","type":"education","lineage":["https://openalex.org/I99065089"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Diange Yang","raw_affiliation_strings":["State Key Laboratory of Automotive Safety and Energy, Tsinghua University, Beijing, China"],"affiliations":[{"raw_affiliation_string":"State Key Laboratory of Automotive Safety and Energy, Tsinghua University, Beijing, China","institution_ids":["https://openalex.org/I99065089"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":7,"corresponding_author_ids":["https://openalex.org/A5100321897"],"corresponding_institution_ids":["https://openalex.org/I99065089"],"apc_list":null,"apc_paid":null,"fwci":0.4049,"has_fulltext":false,"cited_by_count":6,"citation_normalized_percentile":{"value":0.66381279,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":97},"biblio":{"volume":"4","issue":null,"first_page":"528","last_page":"534"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10812","display_name":"Human Pose and Action Recognition","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/T10812","display_name":"Human Pose and Action Recognition","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/T10331","display_name":"Video Surveillance and Tracking Methods","score":0.9977999925613403,"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/T12740","display_name":"Gait Recognition and Analysis","score":0.9957000017166138,"subfield":{"id":"https://openalex.org/subfields/2204","display_name":"Biomedical 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/leverage","display_name":"Leverage (statistics)","score":0.8266640901565552},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7959582805633545},{"id":"https://openalex.org/keywords/pose","display_name":"Pose","score":0.7811703681945801},{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.7023624181747437},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6818041801452637},{"id":"https://openalex.org/keywords/task","display_name":"Task (project management)","score":0.5420542359352112},{"id":"https://openalex.org/keywords/estimation","display_name":"Estimation","score":0.49357640743255615},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.4223484992980957},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.40537288784980774},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.39418524503707886},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.07663068175315857}],"concepts":[{"id":"https://openalex.org/C153083717","wikidata":"https://www.wikidata.org/wiki/Q6535263","display_name":"Leverage (statistics)","level":2,"score":0.8266640901565552},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7959582805633545},{"id":"https://openalex.org/C52102323","wikidata":"https://www.wikidata.org/wiki/Q1671968","display_name":"Pose","level":2,"score":0.7811703681945801},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.7023624181747437},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6818041801452637},{"id":"https://openalex.org/C2780451532","wikidata":"https://www.wikidata.org/wiki/Q759676","display_name":"Task (project management)","level":2,"score":0.5420542359352112},{"id":"https://openalex.org/C96250715","wikidata":"https://www.wikidata.org/wiki/Q965330","display_name":"Estimation","level":2,"score":0.49357640743255615},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.4223484992980957},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.40537288784980774},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.39418524503707886},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.07663068175315857},{"id":"https://openalex.org/C201995342","wikidata":"https://www.wikidata.org/wiki/Q682496","display_name":"Systems engineering","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/itsc.2019.8917065","is_oa":false,"landing_page_url":"https://doi.org/10.1109/itsc.2019.8917065","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2019 IEEE Intelligent Transportation Systems Conference (ITSC)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Sustainable cities and communities","score":0.5099999904632568,"id":"https://metadata.un.org/sdg/11"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":40,"referenced_works":["https://openalex.org/W171061157","https://openalex.org/W1861492603","https://openalex.org/W2013640163","https://openalex.org/W2034014085","https://openalex.org/W2045798786","https://openalex.org/W2080873731","https://openalex.org/W2131263044","https://openalex.org/W2143487029","https://openalex.org/W2150066425","https://openalex.org/W2165698076","https://openalex.org/W2175012183","https://openalex.org/W2307770531","https://openalex.org/W2382036597","https://openalex.org/W2402144811","https://openalex.org/W2513907769","https://openalex.org/W2559085405","https://openalex.org/W2567282757","https://openalex.org/W2608118058","https://openalex.org/W2742737904","https://openalex.org/W2758850938","https://openalex.org/W2810931617","https://openalex.org/W2819476901","https://openalex.org/W2883770893","https://openalex.org/W2889332130","https://openalex.org/W2891104472","https://openalex.org/W2891515353","https://openalex.org/W2916798096","https://openalex.org/W2953384591","https://openalex.org/W2962820842","https://openalex.org/W2963402313","https://openalex.org/W2963448913","https://openalex.org/W2963781481","https://openalex.org/W2963862187","https://openalex.org/W2964105113","https://openalex.org/W2964221239","https://openalex.org/W6713134421","https://openalex.org/W6725552064","https://openalex.org/W6737184804","https://openalex.org/W6760224987","https://openalex.org/W6760303688"],"related_works":["https://openalex.org/W4293226380","https://openalex.org/W2123263858","https://openalex.org/W3127959533","https://openalex.org/W4387967917","https://openalex.org/W4387968151","https://openalex.org/W4386925306","https://openalex.org/W3132124459","https://openalex.org/W2946083937","https://openalex.org/W2894986065","https://openalex.org/W4299867837"],"abstract_inverted_index":{"Application":[0],"of":[1,23,30,44,79,152],"human":[2,16,53,83,156],"pose":[3,17,34,54,126,157],"estimation":[4,35,55,127,158],"in":[5,12,21,95,155],"intelligent":[6,63],"driving":[7],"has":[8],"been":[9],"gradually":[10],"popular":[11],"recent":[13],"years,":[14],"as":[15,70,109],"could":[18],"be":[19],"informative":[20],"depiction":[22],"their":[24],"actions":[25],"and":[26,133,148],"intentions.":[27],"The":[28,85,142],"focus":[29],"this":[31],"paper":[32],"is":[33,68,90],"for":[36,87],"vulnerable":[37],"road":[38],"users":[39],"with":[40,92,106],"relatively":[41],"small":[42],"amounts":[43],"data.":[45,161],"We":[46],"present":[47],"an":[48,71],"improved":[49],"framework,":[50],"transferring":[51],"general":[52],"algorithms":[56],"based":[57],"on":[58,136],"convolutional":[59],"neural":[60],"network":[61,86],"to":[62,74,112,129],"vehicle":[64],"domain.":[65],"Limb":[66],"detection":[67,89,97,154],"introduced":[69,139],"auxiliary":[72],"task":[73],"allow":[75],"explicit":[76],"appearance-based":[77],"modeling":[78],"spatial":[80],"relationships":[81],"among":[82],"keypoints.":[84],"keypoint":[88,107,116],"initialized":[91],"the":[93,100,114,123,137,150],"parameters":[94],"limb":[96,102,153],"task.":[98],"Besides,":[99],"produced":[101],"heatmaps":[103,108],"are":[104],"incorporated":[105],"extra":[110],"source":[111],"gain":[113],"final":[115],"locations.":[117],"Concerning":[118],"practical":[119],"application,":[120],"we":[121],"adapt":[122],"widely":[124],"used":[125],"networks":[128],"our":[130,146],"proposed":[131],"framework":[132],"evaluate":[134],"them":[135],"newly":[138],"TDCB-Pose":[140],"dataset.":[141],"experiment":[143],"results":[144],"validate":[145],"method,":[147],"demonstrate":[149],"leverage":[151],"without":[159],"abundant":[160]},"counts_by_year":[{"year":2023,"cited_by_count":2},{"year":2021,"cited_by_count":3},{"year":2020,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}