{"id":"https://openalex.org/W4327520903","doi":"https://doi.org/10.1145/3573428.3573707","title":"Pedestrian Abnormal U-turn Behavior Recognition Model Based on Baidu AI","display_name":"Pedestrian Abnormal U-turn Behavior Recognition Model Based on Baidu AI","publication_year":2022,"publication_date":"2022-10-21","ids":{"openalex":"https://openalex.org/W4327520903","doi":"https://doi.org/10.1145/3573428.3573707"},"language":"en","primary_location":{"id":"doi:10.1145/3573428.3573707","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3573428.3573707","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2022 6th International Conference on Electronic Information Technology and Computer Engineering","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/A5031509674","display_name":"Wenjie Zhu","orcid":"https://orcid.org/0000-0002-2617-5576"},"institutions":[{"id":"https://openalex.org/I116953780","display_name":"Tongji University","ror":"https://ror.org/03rc6as71","country_code":"CN","type":"education","lineage":["https://openalex.org/I116953780"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Wenjie Zhu","raw_affiliation_strings":["Tongji University, China"],"raw_orcid":"https://orcid.org/0000-0002-2617-5576","affiliations":[{"raw_affiliation_string":"Tongji University, China","institution_ids":["https://openalex.org/I116953780"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5046614461","display_name":"Rongyong Zhao","orcid":"https://orcid.org/0000-0003-1225-1643"},"institutions":[{"id":"https://openalex.org/I116953780","display_name":"Tongji University","ror":"https://ror.org/03rc6as71","country_code":"CN","type":"education","lineage":["https://openalex.org/I116953780"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Rongyong Zhao","raw_affiliation_strings":["Tongji University, China"],"raw_orcid":"https://orcid.org/0000-0003-1225-1643","affiliations":[{"raw_affiliation_string":"Tongji University, China","institution_ids":["https://openalex.org/I116953780"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5054974640","display_name":"Chengxiao Dong","orcid":"https://orcid.org/0000-0002-0282-3137"},"institutions":[{"id":"https://openalex.org/I116953780","display_name":"Tongji University","ror":"https://ror.org/03rc6as71","country_code":"CN","type":"education","lineage":["https://openalex.org/I116953780"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Chengxiao Dong","raw_affiliation_strings":["Tongji University, China"],"raw_orcid":"https://orcid.org/0000-0002-0282-3137","affiliations":[{"raw_affiliation_string":"Tongji University, China","institution_ids":["https://openalex.org/I116953780"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5037073704","display_name":"Hao Zhang","orcid":"https://orcid.org/0000-0001-9272-0782"},"institutions":[{"id":"https://openalex.org/I116953780","display_name":"Tongji University","ror":"https://ror.org/03rc6as71","country_code":"CN","type":"education","lineage":["https://openalex.org/I116953780"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Hao Zhang","raw_affiliation_strings":["Tongji University, China"],"raw_orcid":"https://orcid.org/0000-0001-9272-0782","affiliations":[{"raw_affiliation_string":"Tongji University, China","institution_ids":["https://openalex.org/I116953780"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5007661594","display_name":"Cuiling Li","orcid":"https://orcid.org/0000-0001-9794-446X"},"institutions":[{"id":"https://openalex.org/I116953780","display_name":"Tongji University","ror":"https://ror.org/03rc6as71","country_code":"CN","type":"education","lineage":["https://openalex.org/I116953780"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Cuiling Li","raw_affiliation_strings":["Tongji University, China"],"raw_orcid":"https://orcid.org/0000-0001-9794-446X","affiliations":[{"raw_affiliation_string":"Tongji University, China","institution_ids":["https://openalex.org/I116953780"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5084228352","display_name":"Yunlong Ma","orcid":"https://orcid.org/0000-0001-9947-7746"},"institutions":[{"id":"https://openalex.org/I116953780","display_name":"Tongji University","ror":"https://ror.org/03rc6as71","country_code":"CN","type":"education","lineage":["https://openalex.org/I116953780"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yunlong Ma","raw_affiliation_strings":["Tongji University, China"],"raw_orcid":"https://orcid.org/0000-0001-9947-7746","affiliations":[{"raw_affiliation_string":"Tongji University, China","institution_ids":["https://openalex.org/I116953780"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5054698723","display_name":"Ping Jia","orcid":"https://orcid.org/0000-0003-2392-5949"},"institutions":[{"id":"https://openalex.org/I116953780","display_name":"Tongji University","ror":"https://ror.org/03rc6as71","country_code":"CN","type":"education","lineage":["https://openalex.org/I116953780"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Ping Jia","raw_affiliation_strings":["Tongji University, China"],"raw_orcid":"https://orcid.org/0000-0003-2392-5949","affiliations":[{"raw_affiliation_string":"Tongji University, China","institution_ids":["https://openalex.org/I116953780"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I116953780"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.17855701,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":95,"max":97},"biblio":{"volume":null,"issue":null,"first_page":"1587","last_page":"1591"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11512","display_name":"Anomaly Detection Techniques and Applications","score":0.9991000294685364,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"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/T11512","display_name":"Anomaly Detection Techniques and Applications","score":0.9991000294685364,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"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/T10812","display_name":"Human Pose and Action Recognition","score":0.9987999796867371,"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":0.9965999722480774,"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/pedestrian","display_name":"Pedestrian","score":0.803916335105896},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6676390171051025},{"id":"https://openalex.org/keywords/intersection","display_name":"Intersection (aeronautics)","score":0.6014657616615295},{"id":"https://openalex.org/keywords/crowd-psychology","display_name":"Crowd psychology","score":0.5940051078796387},{"id":"https://openalex.org/keywords/computer-security","display_name":"Computer security","score":0.5001399517059326},{"id":"https://openalex.org/keywords/entertainment","display_name":"Entertainment","score":0.43972715735435486},{"id":"https://openalex.org/keywords/key","display_name":"Key (lock)","score":0.4321778416633606},{"id":"https://openalex.org/keywords/human\u2013computer-interaction","display_name":"Human\u2013computer interaction","score":0.38020527362823486},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.34987932443618774},{"id":"https://openalex.org/keywords/transport-engineering","display_name":"Transport engineering","score":0.25835922360420227},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.1908598244190216}],"concepts":[{"id":"https://openalex.org/C2777113093","wikidata":"https://www.wikidata.org/wiki/Q221488","display_name":"Pedestrian","level":2,"score":0.803916335105896},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6676390171051025},{"id":"https://openalex.org/C64543145","wikidata":"https://www.wikidata.org/wiki/Q162942","display_name":"Intersection (aeronautics)","level":2,"score":0.6014657616615295},{"id":"https://openalex.org/C44042526","wikidata":"https://www.wikidata.org/wiki/Q1355183","display_name":"Crowd psychology","level":2,"score":0.5940051078796387},{"id":"https://openalex.org/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","level":1,"score":0.5001399517059326},{"id":"https://openalex.org/C512170562","wikidata":"https://www.wikidata.org/wiki/Q173799","display_name":"Entertainment","level":2,"score":0.43972715735435486},{"id":"https://openalex.org/C26517878","wikidata":"https://www.wikidata.org/wiki/Q228039","display_name":"Key (lock)","level":2,"score":0.4321778416633606},{"id":"https://openalex.org/C107457646","wikidata":"https://www.wikidata.org/wiki/Q207434","display_name":"Human\u2013computer interaction","level":1,"score":0.38020527362823486},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.34987932443618774},{"id":"https://openalex.org/C22212356","wikidata":"https://www.wikidata.org/wiki/Q775325","display_name":"Transport engineering","level":1,"score":0.25835922360420227},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.1908598244190216},{"id":"https://openalex.org/C142362112","wikidata":"https://www.wikidata.org/wiki/Q735","display_name":"Art","level":0,"score":0.0},{"id":"https://openalex.org/C153349607","wikidata":"https://www.wikidata.org/wiki/Q36649","display_name":"Visual arts","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3573428.3573707","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3573428.3573707","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2022 6th International Conference on Electronic Information Technology and Computer Engineering","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":8,"referenced_works":["https://openalex.org/W2009621163","https://openalex.org/W2055031848","https://openalex.org/W2129784302","https://openalex.org/W2342662179","https://openalex.org/W2917819557","https://openalex.org/W2963820951","https://openalex.org/W3045453815","https://openalex.org/W3132670815"],"related_works":["https://openalex.org/W2392100589","https://openalex.org/W2512789322","https://openalex.org/W2101960027","https://openalex.org/W2197846993","https://openalex.org/W1976827262","https://openalex.org/W49697837","https://openalex.org/W3122828758","https://openalex.org/W2170799233","https://openalex.org/W2768112316","https://openalex.org/W2148067325"],"abstract_inverted_index":{"With":[0],"the":[1,42,61,66,69,76,88,96,152,165,171],"economic":[2],"development":[3],"and":[4,20,32,87,117,144,169],"social":[5],"progress,":[6],"in":[7,68,82,109,139,148],"order":[8],"to":[9,163],"meet":[10],"people's":[11],"increasing":[12],"travel":[13],"or":[14],"entertainment":[15],"needs,":[16],"there":[17],"are":[18],"more":[19,21],"crowd":[22,45,55,67,141],"gathering":[23,35,142],"places,":[24,143],"such":[25],"as":[26],"traffic":[27],"stations,":[28],"venues,":[29],"shopping":[30],"malls":[31],"stadiums.":[33],"Crowd":[34],"places":[36,73],"contain":[37],"many":[38],"cross":[39],"channels,":[40],"where":[41],"anisotropy":[43],"of":[44,54,65,71,80,155,167],"behavior":[46,63,79,108,121,154],"is":[47,50,74,85,92,111,128,158],"obvious,":[48],"which":[49,157],"an":[51],"important":[52],"part":[53],"safety":[56,166],"monitoring.":[57],"In":[58],"this":[59,83],"paper,":[60],"abnormal":[62,77,153],"model":[64,91,123],"intersection":[70],"public":[72],"established,":[75],"U-turn":[78,107,120],"pedestrians":[81,168],"scene":[84],"analyzed,":[86],"human":[89,100],"centroid":[90],"proposed":[93],"by":[94,113],"calling":[95],"relevant":[97],"Baidu":[98,126],"AI":[99,127],"key":[101],"point":[102],"recognition":[103,122],"module":[104],"interface.":[105],"Pedestrian":[106],"video":[110],"recognized":[112],"continuous":[114],"frame":[115],"images,":[116],"a":[118],"pedestrian":[119],"based":[124],"on":[125],"constructed.":[129],"This":[130],"study":[131],"can":[132],"provide":[133],"targeted":[134],"protection":[135],"for":[136,160],"high-risk":[137],"areas":[138],"large":[140],"inform":[145],"security":[146],"personnel":[147],"time":[149],"after":[150],"identifying":[151],"pedestrians,":[156],"helpful":[159],"man-machine":[161],"cooperation":[162],"ensure":[164],"reduce":[170],"accident":[172],"rate.":[173]},"counts_by_year":[{"year":2026,"cited_by_count":1}],"updated_date":"2026-06-26T08:34:08.712188","created_date":"2025-10-10T00:00:00"}
