{"id":"https://openalex.org/W2995797934","doi":"https://doi.org/10.1007/s10489-019-01603-4","title":"Driver action recognition using deformable and dilated faster R-CNN with optimized region proposals","display_name":"Driver action recognition using deformable and dilated faster R-CNN with optimized region proposals","publication_year":2019,"publication_date":"2019-12-17","ids":{"openalex":"https://openalex.org/W2995797934","doi":"https://doi.org/10.1007/s10489-019-01603-4","mag":"2995797934"},"language":"en","primary_location":{"id":"doi:10.1007/s10489-019-01603-4","is_oa":false,"landing_page_url":"https://doi.org/10.1007/s10489-019-01603-4","pdf_url":null,"source":{"id":"https://openalex.org/S74726891","display_name":"Applied Intelligence","issn_l":"0924-669X","issn":["0924-669X","1573-7497"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Applied Intelligence","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/A5008609148","display_name":"Mingqi Lu","orcid":null},"institutions":[{"id":"https://openalex.org/I76569877","display_name":"Southeast University","ror":"https://ror.org/04ct4d772","country_code":"CN","type":"education","lineage":["https://openalex.org/I76569877"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Mingqi Lu","raw_affiliation_strings":["Key Laboratory of Measurement and Control of CSE, Ministry of Education, Southeast University, Nanjing, 210096, China","School of Automation, Southeast University, Nanjing, 210096, China"],"affiliations":[{"raw_affiliation_string":"Key Laboratory of Measurement and Control of CSE, Ministry of Education, Southeast University, Nanjing, 210096, China","institution_ids":["https://openalex.org/I76569877"]},{"raw_affiliation_string":"School of Automation, Southeast University, Nanjing, 210096, China","institution_ids":["https://openalex.org/I76569877"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5026093524","display_name":"Yaocong Hu","orcid":"https://orcid.org/0009-0007-2328-3049"},"institutions":[{"id":"https://openalex.org/I76569877","display_name":"Southeast University","ror":"https://ror.org/04ct4d772","country_code":"CN","type":"education","lineage":["https://openalex.org/I76569877"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yaocong Hu","raw_affiliation_strings":["Key Laboratory of Measurement and Control of CSE, Ministry of Education, Southeast University, Nanjing, 210096, China","School of Automation, Southeast University, Nanjing, 210096, China"],"affiliations":[{"raw_affiliation_string":"Key Laboratory of Measurement and Control of CSE, Ministry of Education, Southeast University, Nanjing, 210096, China","institution_ids":["https://openalex.org/I76569877"]},{"raw_affiliation_string":"School of Automation, Southeast University, Nanjing, 210096, China","institution_ids":["https://openalex.org/I76569877"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5066658319","display_name":"Xiaobo Lu","orcid":"https://orcid.org/0009-0003-3378-7911"},"institutions":[{"id":"https://openalex.org/I76569877","display_name":"Southeast University","ror":"https://ror.org/04ct4d772","country_code":"CN","type":"education","lineage":["https://openalex.org/I76569877"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xiaobo Lu","raw_affiliation_strings":["Key Laboratory of Measurement and Control of CSE, Ministry of Education, Southeast University, Nanjing, 210096, China","School of Automation, Southeast University, Nanjing, 210096, China"],"affiliations":[{"raw_affiliation_string":"Key Laboratory of Measurement and Control of CSE, Ministry of Education, Southeast University, Nanjing, 210096, China","institution_ids":["https://openalex.org/I76569877"]},{"raw_affiliation_string":"School of Automation, Southeast University, Nanjing, 210096, China","institution_ids":["https://openalex.org/I76569877"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5008609148"],"corresponding_institution_ids":["https://openalex.org/I76569877"],"apc_list":{"value":2390,"currency":"EUR","value_usd":2990},"apc_paid":null,"fwci":2.9636,"has_fulltext":false,"cited_by_count":103,"citation_normalized_percentile":{"value":0.93283169,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":96,"max":100},"biblio":{"volume":"50","issue":"4","first_page":"1100","last_page":"1111"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10812","display_name":"Human Pose and Action Recognition","score":0.9987000226974487,"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":0.9987000226974487,"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/T11398","display_name":"Hand Gesture Recognition Systems","score":0.9983000159263611,"subfield":{"id":"https://openalex.org/subfields/1709","display_name":"Human-Computer Interaction"},"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":0.9977999925613403,"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/computer-science","display_name":"Computer science","score":0.8901941776275635},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.696385383605957},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.5819603204727173},{"id":"https://openalex.org/keywords/residual","display_name":"Residual","score":0.5668801665306091},{"id":"https://openalex.org/keywords/pooling","display_name":"Pooling","score":0.5303692817687988},{"id":"https://openalex.org/keywords/discriminative-model","display_name":"Discriminative model","score":0.5243011713027954},{"id":"https://openalex.org/keywords/action-recognition","display_name":"Action recognition","score":0.5163413286209106},{"id":"https://openalex.org/keywords/classifier","display_name":"Classifier (UML)","score":0.4436032474040985},{"id":"https://openalex.org/keywords/property","display_name":"Property (philosophy)","score":0.44175979495048523},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.384446918964386},{"id":"https://openalex.org/keywords/class","display_name":"Class (philosophy)","score":0.2078237235546112},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.09283000230789185}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8901941776275635},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.696385383605957},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5819603204727173},{"id":"https://openalex.org/C155512373","wikidata":"https://www.wikidata.org/wiki/Q287450","display_name":"Residual","level":2,"score":0.5668801665306091},{"id":"https://openalex.org/C70437156","wikidata":"https://www.wikidata.org/wiki/Q7228652","display_name":"Pooling","level":2,"score":0.5303692817687988},{"id":"https://openalex.org/C97931131","wikidata":"https://www.wikidata.org/wiki/Q5282087","display_name":"Discriminative model","level":2,"score":0.5243011713027954},{"id":"https://openalex.org/C2987834672","wikidata":"https://www.wikidata.org/wiki/Q4677630","display_name":"Action recognition","level":3,"score":0.5163413286209106},{"id":"https://openalex.org/C95623464","wikidata":"https://www.wikidata.org/wiki/Q1096149","display_name":"Classifier (UML)","level":2,"score":0.4436032474040985},{"id":"https://openalex.org/C189950617","wikidata":"https://www.wikidata.org/wiki/Q937228","display_name":"Property (philosophy)","level":2,"score":0.44175979495048523},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.384446918964386},{"id":"https://openalex.org/C2777212361","wikidata":"https://www.wikidata.org/wiki/Q5127848","display_name":"Class (philosophy)","level":2,"score":0.2078237235546112},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.09283000230789185},{"id":"https://openalex.org/C111472728","wikidata":"https://www.wikidata.org/wiki/Q9471","display_name":"Epistemology","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:10.1007/s10489-019-01603-4","is_oa":false,"landing_page_url":"https://doi.org/10.1007/s10489-019-01603-4","pdf_url":null,"source":{"id":"https://openalex.org/S74726891","display_name":"Applied Intelligence","issn_l":"0924-669X","issn":["0924-669X","1573-7497"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Applied Intelligence","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G1470343732","display_name":null,"funder_award_id":"No.61871123","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":52,"referenced_works":["https://openalex.org/W208765980","https://openalex.org/W326271615","https://openalex.org/W874179280","https://openalex.org/W1524680991","https://openalex.org/W1536680647","https://openalex.org/W1686810756","https://openalex.org/W1765260417","https://openalex.org/W1903029394","https://openalex.org/W1910776219","https://openalex.org/W1987796352","https://openalex.org/W1993991024","https://openalex.org/W2012879911","https://openalex.org/W2043354694","https://openalex.org/W2067074957","https://openalex.org/W2070906768","https://openalex.org/W2119821739","https://openalex.org/W2129933262","https://openalex.org/W2147800946","https://openalex.org/W2151103935","https://openalex.org/W2157292144","https://openalex.org/W2158234032","https://openalex.org/W2161969291","https://openalex.org/W2163605009","https://openalex.org/W2194775991","https://openalex.org/W2316109659","https://openalex.org/W2324736398","https://openalex.org/W2463631526","https://openalex.org/W2486323017","https://openalex.org/W2552048335","https://openalex.org/W2556398113","https://openalex.org/W2565639579","https://openalex.org/W2581145574","https://openalex.org/W2601564443","https://openalex.org/W2613718673","https://openalex.org/W2617632090","https://openalex.org/W2733137411","https://openalex.org/W2737725206","https://openalex.org/W2745090846","https://openalex.org/W2759088956","https://openalex.org/W2884585870","https://openalex.org/W2902034546","https://openalex.org/W2903723623","https://openalex.org/W2934625602","https://openalex.org/W2962850830","https://openalex.org/W2962858109","https://openalex.org/W2963037989","https://openalex.org/W2963516811","https://openalex.org/W3177525997","https://openalex.org/W4232688307","https://openalex.org/W4236189948","https://openalex.org/W4248352566","https://openalex.org/W6628200812"],"related_works":["https://openalex.org/W2953234277","https://openalex.org/W2626256601","https://openalex.org/W147410782","https://openalex.org/W2900413183","https://openalex.org/W4390975304","https://openalex.org/W3022252430","https://openalex.org/W1487808658","https://openalex.org/W2182357018","https://openalex.org/W2551337514","https://openalex.org/W2952005526"],"abstract_inverted_index":null,"counts_by_year":[{"year":2026,"cited_by_count":2},{"year":2025,"cited_by_count":19},{"year":2024,"cited_by_count":25},{"year":2023,"cited_by_count":28},{"year":2022,"cited_by_count":19},{"year":2021,"cited_by_count":7},{"year":2020,"cited_by_count":3}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
