{"id":"https://openalex.org/W3120927796","doi":"https://doi.org/10.1109/iv47402.2020.9304675","title":"Traffic Police Gesture Recognition by Pose Graph Convolutional Networks","display_name":"Traffic Police Gesture Recognition by Pose Graph Convolutional Networks","publication_year":2020,"publication_date":"2020-10-19","ids":{"openalex":"https://openalex.org/W3120927796","doi":"https://doi.org/10.1109/iv47402.2020.9304675","mag":"3120927796"},"language":"en","primary_location":{"id":"doi:10.1109/iv47402.2020.9304675","is_oa":false,"landing_page_url":"https://doi.org/10.1109/iv47402.2020.9304675","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2020 IEEE Intelligent Vehicles Symposium (IV)","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/A5084070782","display_name":"Zhijie Fang","orcid":"https://orcid.org/0000-0001-6184-8548"},"institutions":[{"id":"https://openalex.org/I1332474105","display_name":"Mercedes-Benz (Germany)","ror":"https://ror.org/055rn2a38","country_code":"DE","type":"company","lineage":["https://openalex.org/I1332474105"]}],"countries":["DE"],"is_corresponding":true,"raw_author_name":"Zhijie Fang","raw_affiliation_strings":["Mercedes-Benz Reseach & Development Center, Daimler Greater China, Beijing, China","Mercedes-Benz Reseach & Development Center, Daimler Greater China,Department of Automated Driving System,Beijing,China"],"affiliations":[{"raw_affiliation_string":"Mercedes-Benz Reseach & Development Center, Daimler Greater China, Beijing, China","institution_ids":["https://openalex.org/I1332474105"]},{"raw_affiliation_string":"Mercedes-Benz Reseach & Development Center, Daimler Greater China,Department of Automated Driving System,Beijing,China","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5055409222","display_name":"Wuqiang Zhang","orcid":null},"institutions":[{"id":"https://openalex.org/I1332474105","display_name":"Mercedes-Benz (Germany)","ror":"https://ror.org/055rn2a38","country_code":"DE","type":"company","lineage":["https://openalex.org/I1332474105"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Wuqiang Zhang","raw_affiliation_strings":["Mercedes-Benz Reseach & Development Center, Daimler Greater China, Beijing, China","Mercedes-Benz Reseach & Development Center, Daimler Greater China,Department of Automated Driving System,Beijing,China"],"affiliations":[{"raw_affiliation_string":"Mercedes-Benz Reseach & Development Center, Daimler Greater China, Beijing, China","institution_ids":["https://openalex.org/I1332474105"]},{"raw_affiliation_string":"Mercedes-Benz Reseach & Development Center, Daimler Greater China,Department of Automated Driving System,Beijing,China","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5077111461","display_name":"Zijie Guo","orcid":null},"institutions":[{"id":"https://openalex.org/I1332474105","display_name":"Mercedes-Benz (Germany)","ror":"https://ror.org/055rn2a38","country_code":"DE","type":"company","lineage":["https://openalex.org/I1332474105"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Zijie Guo","raw_affiliation_strings":["Mercedes-Benz Reseach & Development Center, Daimler Greater China, Beijing, China","Mercedes-Benz Reseach & Development Center, Daimler Greater China,Department of Automated Driving System,Beijing,China"],"affiliations":[{"raw_affiliation_string":"Mercedes-Benz Reseach & Development Center, Daimler Greater China, Beijing, China","institution_ids":["https://openalex.org/I1332474105"]},{"raw_affiliation_string":"Mercedes-Benz Reseach & Development Center, Daimler Greater China,Department of Automated Driving System,Beijing,China","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5062933258","display_name":"Rong Zhi","orcid":null},"institutions":[{"id":"https://openalex.org/I1332474105","display_name":"Mercedes-Benz (Germany)","ror":"https://ror.org/055rn2a38","country_code":"DE","type":"company","lineage":["https://openalex.org/I1332474105"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Rong Zhi","raw_affiliation_strings":["Mercedes-Benz Reseach & Development Center, Daimler Greater China, Beijing, China","Mercedes-Benz Reseach & Development Center, Daimler Greater China,Department of Automated Driving System,Beijing,China"],"affiliations":[{"raw_affiliation_string":"Mercedes-Benz Reseach & Development Center, Daimler Greater China, Beijing, China","institution_ids":["https://openalex.org/I1332474105"]},{"raw_affiliation_string":"Mercedes-Benz Reseach & Development Center, Daimler Greater China,Department of Automated Driving System,Beijing,China","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5025623657","display_name":"Baofeng Wang","orcid":"https://orcid.org/0000-0003-2485-9509"},"institutions":[{"id":"https://openalex.org/I1332474105","display_name":"Mercedes-Benz (Germany)","ror":"https://ror.org/055rn2a38","country_code":"DE","type":"company","lineage":["https://openalex.org/I1332474105"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Baofeng Wang","raw_affiliation_strings":["Mercedes-Benz Reseach & Development Center, Daimler Greater China, Beijing, China","Mercedes-Benz Reseach & Development Center, Daimler Greater China,Department of Automated Driving System,Beijing,China"],"affiliations":[{"raw_affiliation_string":"Mercedes-Benz Reseach & Development Center, Daimler Greater China, Beijing, China","institution_ids":["https://openalex.org/I1332474105"]},{"raw_affiliation_string":"Mercedes-Benz Reseach & Development Center, Daimler Greater China,Department of Automated Driving System,Beijing,China","institution_ids":[]}]},{"author_position":"last","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 Flohr","raw_affiliation_strings":["Environment Perception Group, Daimler AG, Stuttgart-Vaihingen, Germany","Environment Perception Group, Daimler AG,Stuttgart-Vaihingen,Germany"],"affiliations":[{"raw_affiliation_string":"Environment Perception Group, Daimler AG, Stuttgart-Vaihingen, Germany","institution_ids":["https://openalex.org/I891521709"]},{"raw_affiliation_string":"Environment Perception Group, Daimler AG,Stuttgart-Vaihingen,Germany","institution_ids":["https://openalex.org/I891521709"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":6,"corresponding_author_ids":["https://openalex.org/A5084070782"],"corresponding_institution_ids":["https://openalex.org/I1332474105"],"apc_list":null,"apc_paid":null,"fwci":1.1724,"has_fulltext":false,"cited_by_count":15,"citation_normalized_percentile":{"value":0.81770518,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":91,"max":98},"biblio":{"volume":null,"issue":null,"first_page":"1833","last_page":"1838"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10812","display_name":"Human Pose and Action Recognition","score":0.9995999932289124,"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":0.9995999932289124,"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":0.9988999962806702,"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"}},{"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"}}],"keywords":[{"id":"https://openalex.org/keywords/gesture","display_name":"Gesture","score":0.8746054172515869},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7775882482528687},{"id":"https://openalex.org/keywords/graph","display_name":"Graph","score":0.6450508832931519},{"id":"https://openalex.org/keywords/gesture-recognition","display_name":"Gesture recognition","score":0.575984001159668},{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.5759576559066772},{"id":"https://openalex.org/keywords/frame","display_name":"Frame (networking)","score":0.5538446307182312},{"id":"https://openalex.org/keywords/task","display_name":"Task (project management)","score":0.4708031415939331},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4350247085094452},{"id":"https://openalex.org/keywords/human\u2013computer-interaction","display_name":"Human\u2013computer interaction","score":0.3420899510383606},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.32726550102233887},{"id":"https://openalex.org/keywords/computer-network","display_name":"Computer network","score":0.12643977999687195},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.11576709151268005},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.09544318914413452}],"concepts":[{"id":"https://openalex.org/C207347870","wikidata":"https://www.wikidata.org/wiki/Q371174","display_name":"Gesture","level":2,"score":0.8746054172515869},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7775882482528687},{"id":"https://openalex.org/C132525143","wikidata":"https://www.wikidata.org/wiki/Q141488","display_name":"Graph","level":2,"score":0.6450508832931519},{"id":"https://openalex.org/C159437735","wikidata":"https://www.wikidata.org/wiki/Q1519524","display_name":"Gesture recognition","level":3,"score":0.575984001159668},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.5759576559066772},{"id":"https://openalex.org/C126042441","wikidata":"https://www.wikidata.org/wiki/Q1324888","display_name":"Frame (networking)","level":2,"score":0.5538446307182312},{"id":"https://openalex.org/C2780451532","wikidata":"https://www.wikidata.org/wiki/Q759676","display_name":"Task (project management)","level":2,"score":0.4708031415939331},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4350247085094452},{"id":"https://openalex.org/C107457646","wikidata":"https://www.wikidata.org/wiki/Q207434","display_name":"Human\u2013computer interaction","level":1,"score":0.3420899510383606},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.32726550102233887},{"id":"https://openalex.org/C31258907","wikidata":"https://www.wikidata.org/wiki/Q1301371","display_name":"Computer network","level":1,"score":0.12643977999687195},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.11576709151268005},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.09544318914413452},{"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/iv47402.2020.9304675","is_oa":false,"landing_page_url":"https://doi.org/10.1109/iv47402.2020.9304675","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2020 IEEE Intelligent Vehicles Symposium (IV)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.5299999713897705,"id":"https://metadata.un.org/sdg/16","display_name":"Peace, Justice and strong institutions"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":29,"referenced_works":["https://openalex.org/W626667024","https://openalex.org/W639708223","https://openalex.org/W2034014085","https://openalex.org/W2064675550","https://openalex.org/W2156303437","https://openalex.org/W2340897893","https://openalex.org/W2556782416","https://openalex.org/W2559085405","https://openalex.org/W2592496287","https://openalex.org/W2603203130","https://openalex.org/W2610165754","https://openalex.org/W2613718673","https://openalex.org/W2899771611","https://openalex.org/W2916798096","https://openalex.org/W2950568498","https://openalex.org/W2963076818","https://openalex.org/W2963315828","https://openalex.org/W2963524571","https://openalex.org/W2964015378","https://openalex.org/W2970816301","https://openalex.org/W2980439114","https://openalex.org/W2981311757","https://openalex.org/W2991202763","https://openalex.org/W2991484432","https://openalex.org/W6682864246","https://openalex.org/W6726873649","https://openalex.org/W6730028046","https://openalex.org/W6736727355","https://openalex.org/W6747795875"],"related_works":["https://openalex.org/W2066003895","https://openalex.org/W2902873204","https://openalex.org/W2185750513","https://openalex.org/W4312416068","https://openalex.org/W3147379364","https://openalex.org/W2010878661","https://openalex.org/W2026258298","https://openalex.org/W3204639664","https://openalex.org/W2970836791","https://openalex.org/W2805039731"],"abstract_inverted_index":{"Gestures":[0],"from":[1],"traffic":[2,16,80,105],"police":[3,17,81,106],"give":[4],"the":[5,26,41,47,52,79,93,111],"authorized":[6],"information,":[7],"especially":[8],"in":[9,58,83,89],"some":[10],"urgent":[11],"situation.":[12],"Thus,":[13],"understanding":[14],"of":[15,40,46,95],"instruction":[18],"accurately":[19],"and":[20,43,72],"promptly":[21],"is":[22,33,92],"particularly":[23],"crucial":[24],"for":[25,55,104],"automated":[27],"driving":[28],"system.":[29],"However,":[30],"this":[31,90],"task":[32],"a":[34],"great":[35],"challenge":[36],"not":[37],"only":[38],"because":[39],"dynamic":[42],"diversity":[44],"characteristics":[45],"human":[48],"gesture,":[49],"but":[50],"also":[51],"high":[53],"requirement":[54],"real-time":[56],"performance":[57],"each":[59],"frame.":[60],"We":[61],"propose":[62],"an":[63,96],"online":[64,97],"activity":[65],"recognition":[66],"method":[67],"based":[68,99],"on":[69,100,114],"pose":[70],"estimation":[71],"Graph":[73],"Convolutional":[74],"Networks":[75],"(GCN)":[76],"to":[77],"recognize":[78],"gesture":[82],"frame":[84],"level.":[85],"The":[86],"main":[87],"contribution":[88],"work":[91],"development":[94],"framework":[98],"graph":[101],"convolutional":[102],"networks":[103],"recognition.":[107],"Our":[108],"approach":[109],"obtained":[110],"state-of-the-art":[112],"results":[113],"Traffic":[115],"Police":[116],"Gesture":[117],"Recognition":[118],"(TPGR)":[119],"dataset.":[120]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":2},{"year":2023,"cited_by_count":3},{"year":2022,"cited_by_count":2},{"year":2021,"cited_by_count":7}],"updated_date":"2026-02-11T14:41:00.668223","created_date":"2025-10-10T00:00:00"}