{"id":"https://openalex.org/W2971166028","doi":"https://doi.org/10.1109/icip.2019.8803249","title":"3D Driver Pose Estimation Based on Joint 2d-3d Network","display_name":"3D Driver Pose Estimation Based on Joint 2d-3d Network","publication_year":2019,"publication_date":"2019-08-26","ids":{"openalex":"https://openalex.org/W2971166028","doi":"https://doi.org/10.1109/icip.2019.8803249","mag":"2971166028"},"language":"en","primary_location":{"id":"doi:10.1109/icip.2019.8803249","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icip.2019.8803249","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2019 IEEE International Conference on Image Processing (ICIP)","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/A5018681887","display_name":"Zhijie Yao","orcid":null},"institutions":[{"id":"https://openalex.org/I36399199","display_name":"Nanjing University of Science and Technology","ror":"https://ror.org/00xp9wg62","country_code":"CN","type":"education","lineage":["https://openalex.org/I36399199"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Zhijie Yao","raw_affiliation_strings":["School of computer science and engineering, Nanjing University of Science and Technology, China","Nanjing University of Science and Technology, Nanjing, China"],"affiliations":[{"raw_affiliation_string":"School of computer science and engineering, Nanjing University of Science and Technology, China","institution_ids":["https://openalex.org/I36399199"]},{"raw_affiliation_string":"Nanjing University of Science and Technology, Nanjing, China","institution_ids":["https://openalex.org/I36399199"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101589482","display_name":"Yazhou Liu","orcid":"https://orcid.org/0000-0003-3315-6223"},"institutions":[{"id":"https://openalex.org/I36399199","display_name":"Nanjing University of Science and Technology","ror":"https://ror.org/00xp9wg62","country_code":"CN","type":"education","lineage":["https://openalex.org/I36399199"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yazhou Liu","raw_affiliation_strings":["School of computer science and engineering, Nanjing University of Science and Technology, China","Nanjing University of Science and Technology, Nanjing, China"],"affiliations":[{"raw_affiliation_string":"School of computer science and engineering, Nanjing University of Science and Technology, China","institution_ids":["https://openalex.org/I36399199"]},{"raw_affiliation_string":"Nanjing University of Science and Technology, Nanjing, China","institution_ids":["https://openalex.org/I36399199"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5044758681","display_name":"Zexuan Ji","orcid":"https://orcid.org/0000-0003-1665-0270"},"institutions":[{"id":"https://openalex.org/I36399199","display_name":"Nanjing University of Science and Technology","ror":"https://ror.org/00xp9wg62","country_code":"CN","type":"education","lineage":["https://openalex.org/I36399199"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zexuan Ji","raw_affiliation_strings":["School of computer science and engineering, Nanjing University of Science and Technology, China","Nanjing University of Science and Technology, Nanjing, China"],"affiliations":[{"raw_affiliation_string":"School of computer science and engineering, Nanjing University of Science and Technology, China","institution_ids":["https://openalex.org/I36399199"]},{"raw_affiliation_string":"Nanjing University of Science and Technology, Nanjing, China","institution_ids":["https://openalex.org/I36399199"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5034434932","display_name":"Quansen Sun","orcid":"https://orcid.org/0000-0001-6019-1986"},"institutions":[{"id":"https://openalex.org/I36399199","display_name":"Nanjing University of Science and Technology","ror":"https://ror.org/00xp9wg62","country_code":"CN","type":"education","lineage":["https://openalex.org/I36399199"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Quansen Sun","raw_affiliation_strings":["School of computer science and engineering, Nanjing University of Science and Technology, China","Nanjing University of Science and Technology, Nanjing, China"],"affiliations":[{"raw_affiliation_string":"School of computer science and engineering, Nanjing University of Science and Technology, China","institution_ids":["https://openalex.org/I36399199"]},{"raw_affiliation_string":"Nanjing University of Science and Technology, Nanjing, China","institution_ids":["https://openalex.org/I36399199"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5088634790","display_name":"Pongsak Lasang","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Pongsak Lasang","raw_affiliation_strings":["Panasonic Research and Development Center Singapore, Singapore","Panasonic Research and Development Center Singapore, Singapore, Singapore"],"affiliations":[{"raw_affiliation_string":"Panasonic Research and Development Center Singapore, Singapore","institution_ids":[]},{"raw_affiliation_string":"Panasonic Research and Development Center Singapore, Singapore, Singapore","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5034745160","display_name":"Shengmei Shen","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Shengmei Shen","raw_affiliation_strings":["Panasonic Research and Development Center Singapore, Singapore","Panasonic Research and Development Center Singapore, Singapore, Singapore"],"affiliations":[{"raw_affiliation_string":"Panasonic Research and Development Center Singapore, Singapore","institution_ids":[]},{"raw_affiliation_string":"Panasonic Research and Development Center Singapore, Singapore, Singapore","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":6,"corresponding_author_ids":["https://openalex.org/A5018681887"],"corresponding_institution_ids":["https://openalex.org/I36399199"],"apc_list":null,"apc_paid":null,"fwci":0.1012,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.43634592,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":94},"biblio":{"volume":null,"issue":null,"first_page":"2546","last_page":"2550"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10812","display_name":"Human Pose and Action Recognition","score":0.9994999766349792,"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":0.9994999766349792,"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":0.9930999875068665,"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":0.9894000291824341,"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/pose","display_name":"Pose","score":0.8437592387199402},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.8173868060112},{"id":"https://openalex.org/keywords/point-cloud","display_name":"Point cloud","score":0.7920527458190918},{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.7761043310165405},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.7325546741485596},{"id":"https://openalex.org/keywords/3d-pose-estimation","display_name":"3D pose estimation","score":0.7228208184242249},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.5815187096595764},{"id":"https://openalex.org/keywords/joint","display_name":"Joint (building)","score":0.5587570667266846},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.5057206153869629},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.5039190649986267},{"id":"https://openalex.org/keywords/point","display_name":"Point (geometry)","score":0.4634307324886322},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.4236985743045807},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.37529388070106506},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.0856904685497284},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.07786393165588379}],"concepts":[{"id":"https://openalex.org/C52102323","wikidata":"https://www.wikidata.org/wiki/Q1671968","display_name":"Pose","level":2,"score":0.8437592387199402},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8173868060112},{"id":"https://openalex.org/C131979681","wikidata":"https://www.wikidata.org/wiki/Q1899648","display_name":"Point cloud","level":2,"score":0.7920527458190918},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.7761043310165405},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7325546741485596},{"id":"https://openalex.org/C36613465","wikidata":"https://www.wikidata.org/wiki/Q4636322","display_name":"3D pose estimation","level":3,"score":0.7228208184242249},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.5815187096595764},{"id":"https://openalex.org/C18555067","wikidata":"https://www.wikidata.org/wiki/Q8375051","display_name":"Joint (building)","level":2,"score":0.5587570667266846},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.5057206153869629},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.5039190649986267},{"id":"https://openalex.org/C28719098","wikidata":"https://www.wikidata.org/wiki/Q44946","display_name":"Point (geometry)","level":2,"score":0.4634307324886322},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.4236985743045807},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.37529388070106506},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.0856904685497284},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.07786393165588379},{"id":"https://openalex.org/C170154142","wikidata":"https://www.wikidata.org/wiki/Q150737","display_name":"Architectural engineering","level":1,"score":0.0},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","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}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icip.2019.8803249","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icip.2019.8803249","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2019 IEEE International Conference on Image Processing (ICIP)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":29,"referenced_works":["https://openalex.org/W1912860515","https://openalex.org/W2113325037","https://openalex.org/W2156094778","https://openalex.org/W2194775991","https://openalex.org/W2211722331","https://openalex.org/W2303693074","https://openalex.org/W2307770531","https://openalex.org/W2554247908","https://openalex.org/W2559085405","https://openalex.org/W2560609797","https://openalex.org/W2587626861","https://openalex.org/W2612706635","https://openalex.org/W2737305288","https://openalex.org/W2788158258","https://openalex.org/W2795374598","https://openalex.org/W2798646183","https://openalex.org/W2799191197","https://openalex.org/W2962731536","https://openalex.org/W2963121255","https://openalex.org/W2963150697","https://openalex.org/W2963474899","https://openalex.org/W2963488642","https://openalex.org/W2964179555","https://openalex.org/W2964304707","https://openalex.org/W3105217837","https://openalex.org/W6697925102","https://openalex.org/W6703933998","https://openalex.org/W6739778489","https://openalex.org/W6763422710"],"related_works":["https://openalex.org/W4320086129","https://openalex.org/W4253893311","https://openalex.org/W3089306886","https://openalex.org/W2113785214","https://openalex.org/W2798721181","https://openalex.org/W3201205132","https://openalex.org/W4387967917","https://openalex.org/W4312694060","https://openalex.org/W4386075737","https://openalex.org/W4382141741"],"abstract_inverted_index":{"3D":[0,22,79,128],"driver":[1],"pose":[2,23,81,130],"estimation":[3,82],"is":[4,47],"a":[5,65,86,102],"promising":[6],"and":[7,35,56,71,83,99,114,124],"challenging":[8],"problem":[9,30],"for":[10,39],"computer-human":[11],"interaction.":[12],"Recently":[13],"convolutional":[14],"neural":[15],"networks":[16],"(CNNs)":[17],"have":[18,28],"been":[19],"introduced":[20],"into":[21],"estimation,":[24],"but":[25],"these":[26],"methods":[27],"the":[29,76],"of":[31,52,78],"slow":[32],"running":[33],"speed":[34],"are":[36],"not":[37],"suitable":[38],"driving":[40],"scenario.":[41],"In":[42],"this":[43,107],"paper,":[44],"our":[45,120],"method":[46,121],"based":[48],"on":[49,110,127],"two":[50],"type":[51],"inputs,":[53],"IR":[54],"image":[55],"point":[57,90],"cloud":[58,91],"obtained":[59],"from":[60],"TOF":[61],"camera.":[62],"We":[63],"propose":[64],"Joint":[66],"2D-3D":[67],"network":[68],"incorporating":[69],"image-based":[70],"point-based":[72],"feature":[73],"to":[74,105],"promote":[75],"performance":[77,126],"human":[80,129],"run":[84],"in":[85],"high":[87],"speed.":[88],"For":[89],"with":[92],"invalid":[93],"points,":[94],"we":[95],"firstly":[96],"do":[97],"preprocess":[98],"then":[100],"design":[101],"denoising":[103],"module":[104],"handle":[106],"problem.":[108],"Experiments":[109],"private":[111],"Driver":[112],"dataset":[113,117],"public":[115],"ITOP":[116],"show":[118],"that":[119],"achieves":[122],"efficient":[123],"competitive":[125],"estimation.":[131]},"counts_by_year":[{"year":2023,"cited_by_count":1},{"year":2020,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}