{"id":"https://openalex.org/W4388720345","doi":"https://doi.org/10.1109/iecon51785.2023.10311855","title":"Abnormal Event Detection of Tourist Attraction Traffic Fortress Based on YOLOv5-C3D","display_name":"Abnormal Event Detection of Tourist Attraction Traffic Fortress Based on YOLOv5-C3D","publication_year":2023,"publication_date":"2023-10-16","ids":{"openalex":"https://openalex.org/W4388720345","doi":"https://doi.org/10.1109/iecon51785.2023.10311855"},"language":"en","primary_location":{"id":"doi:10.1109/iecon51785.2023.10311855","is_oa":false,"landing_page_url":"http://dx.doi.org/10.1109/iecon51785.2023.10311855","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IECON 2023- 49th Annual Conference of the IEEE Industrial Electronics Society","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/A5111144090","display_name":"Yanling Jiang","orcid":null},"institutions":[{"id":"https://openalex.org/I168337820","display_name":"Chongqing University of Science and Technology","ror":"https://ror.org/03n3v6d52","country_code":"CN","type":"education","lineage":["https://openalex.org/I168337820"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Yanling Jiang","raw_affiliation_strings":["College of Business Administration, Chongqing University of Science and Technology,Chongqing,China,401331"],"affiliations":[{"raw_affiliation_string":"College of Business Administration, Chongqing University of Science and Technology,Chongqing,China,401331","institution_ids":["https://openalex.org/I168337820"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100643923","display_name":"Min Zhu","orcid":"https://orcid.org/0000-0002-5265-2006"},"institutions":[{"id":"https://openalex.org/I168337820","display_name":"Chongqing University of Science and Technology","ror":"https://ror.org/03n3v6d52","country_code":"CN","type":"education","lineage":["https://openalex.org/I168337820"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Min Zhu","raw_affiliation_strings":["College of Intelligent Technology and Engineering, Chongqing University of Science and Technology,Chongqing,China,401331"],"affiliations":[{"raw_affiliation_string":"College of Intelligent Technology and Engineering, Chongqing University of Science and Technology,Chongqing,China,401331","institution_ids":["https://openalex.org/I168337820"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5081340968","display_name":"Jun Peng","orcid":"https://orcid.org/0000-0001-6800-0064"},"institutions":[{"id":"https://openalex.org/I168337820","display_name":"Chongqing University of Science and Technology","ror":"https://ror.org/03n3v6d52","country_code":"CN","type":"education","lineage":["https://openalex.org/I168337820"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jun Peng","raw_affiliation_strings":["College of Mathematics, Physics and Data Science, Chongqing University of Science and Technology,Chongqing,China,401331"],"affiliations":[{"raw_affiliation_string":"College of Mathematics, Physics and Data Science, Chongqing University of Science and Technology,Chongqing,China,401331","institution_ids":["https://openalex.org/I168337820"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5009793932","display_name":"Haojun Dai","orcid":"https://orcid.org/0009-0000-6657-0450"},"institutions":[{"id":"https://openalex.org/I168337820","display_name":"Chongqing University of Science and Technology","ror":"https://ror.org/03n3v6d52","country_code":"CN","type":"education","lineage":["https://openalex.org/I168337820"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Haojun Dai","raw_affiliation_strings":["College of Intelligent Technology and Engineering, Chongqing University of Science and Technology,Chongqing,China,401331"],"affiliations":[{"raw_affiliation_string":"College of Intelligent Technology and Engineering, Chongqing University of Science and Technology,Chongqing,China,401331","institution_ids":["https://openalex.org/I168337820"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5020569720","display_name":"Yuanmin He","orcid":null},"institutions":[{"id":"https://openalex.org/I168337820","display_name":"Chongqing University of Science and Technology","ror":"https://ror.org/03n3v6d52","country_code":"CN","type":"education","lineage":["https://openalex.org/I168337820"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yuanmin He","raw_affiliation_strings":["College of Intelligent Technology and Engineering, Chongqing University of Science and Technology,Chongqing,China,401331"],"affiliations":[{"raw_affiliation_string":"College of Intelligent Technology and Engineering, Chongqing University of Science and Technology,Chongqing,China,401331","institution_ids":["https://openalex.org/I168337820"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5009384804","display_name":"Shangzhu Jin","orcid":"https://orcid.org/0000-0002-6486-4225"},"institutions":[{"id":"https://openalex.org/I168337820","display_name":"Chongqing University of Science and Technology","ror":"https://ror.org/03n3v6d52","country_code":"CN","type":"education","lineage":["https://openalex.org/I168337820"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Shangzhu Jin","raw_affiliation_strings":["Chongqing University of Science and Technology,Informatization Office,Chongqing,China,401331"],"affiliations":[{"raw_affiliation_string":"Chongqing University of Science and Technology,Informatization Office,Chongqing,China,401331","institution_ids":["https://openalex.org/I168337820"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":6,"corresponding_author_ids":["https://openalex.org/A5111144090"],"corresponding_institution_ids":["https://openalex.org/I168337820"],"apc_list":null,"apc_paid":null,"fwci":0.1228,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.43567007,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":91,"max":95},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"6"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10812","display_name":"Human Pose and Action Recognition","score":0.9991000294685364,"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":0.9991000294685364,"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/T11512","display_name":"Anomaly Detection Techniques and Applications","score":0.9943000078201294,"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/T10331","display_name":"Video Surveillance and Tracking Methods","score":0.9905999898910522,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7159508466720581},{"id":"https://openalex.org/keywords/event","display_name":"Event (particle physics)","score":0.6975225806236267},{"id":"https://openalex.org/keywords/generalization","display_name":"Generalization","score":0.6400002241134644},{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.6280810832977295},{"id":"https://openalex.org/keywords/fortress","display_name":"Fortress (chess)","score":0.5673888921737671},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5485943555831909},{"id":"https://openalex.org/keywords/tourism","display_name":"Tourism","score":0.5125365257263184},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.3411989212036133},{"id":"https://openalex.org/keywords/geography","display_name":"Geography","score":0.13727134466171265},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.08707556128501892}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7159508466720581},{"id":"https://openalex.org/C2779662365","wikidata":"https://www.wikidata.org/wiki/Q5416694","display_name":"Event (particle physics)","level":2,"score":0.6975225806236267},{"id":"https://openalex.org/C177148314","wikidata":"https://www.wikidata.org/wiki/Q170084","display_name":"Generalization","level":2,"score":0.6400002241134644},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.6280810832977295},{"id":"https://openalex.org/C38035415","wikidata":"https://www.wikidata.org/wiki/Q1408838","display_name":"Fortress (chess)","level":2,"score":0.5673888921737671},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5485943555831909},{"id":"https://openalex.org/C18918823","wikidata":"https://www.wikidata.org/wiki/Q49389","display_name":"Tourism","level":2,"score":0.5125365257263184},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.3411989212036133},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.13727134466171265},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.08707556128501892},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.0},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C166957645","wikidata":"https://www.wikidata.org/wiki/Q23498","display_name":"Archaeology","level":1,"score":0.0},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/iecon51785.2023.10311855","is_oa":false,"landing_page_url":"http://dx.doi.org/10.1109/iecon51785.2023.10311855","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IECON 2023- 49th Annual Conference of the IEEE Industrial Electronics Society","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.6299999952316284,"id":"https://metadata.un.org/sdg/8","display_name":"Decent work and economic growth"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":14,"referenced_works":["https://openalex.org/W627088537","https://openalex.org/W969788129","https://openalex.org/W1522734439","https://openalex.org/W1867429401","https://openalex.org/W2148190259","https://openalex.org/W2161969291","https://openalex.org/W2342662179","https://openalex.org/W2345600632","https://openalex.org/W2769581371","https://openalex.org/W2980781724","https://openalex.org/W3170885843","https://openalex.org/W3212370225","https://openalex.org/W3215131692","https://openalex.org/W6762585180"],"related_works":["https://openalex.org/W4200046715","https://openalex.org/W3122814651","https://openalex.org/W3043139147","https://openalex.org/W2358857680","https://openalex.org/W2297142206","https://openalex.org/W4389919537","https://openalex.org/W1976004044","https://openalex.org/W4285501477","https://openalex.org/W4312749085","https://openalex.org/W1988316353"],"abstract_inverted_index":{"In":[0,35],"recent":[1],"years,":[2],"with":[3,84],"the":[4,9,13,33,36,39,50,57,87,106],"rapid":[5],"development":[6],"of":[7,16,29,38,42,53,61],"tourism,":[8],"abnormal":[10,43,70,88,101,115],"events":[11,102],"in":[12,46],"traffic":[14],"fortress":[15],"tourist":[17],"attractions":[18],"not":[19],"only":[20],"endanger":[21],"personal":[22],"safety,":[23],"but":[24],"also":[25],"cause":[26],"a":[27,96,110],"lot":[28],"negative":[30],"effects":[31],"on":[32,75,93],"society.":[34],"face":[37],"low":[40,51],"accuracy":[41,98],"event":[44,71,89,116],"detection":[45,72,90],"complex":[47],"scenes":[48],"and":[49,59,63],"efficiency":[52],"manual":[54],"observation,":[55],"combining":[56],"advantages":[58],"characteristics":[60],"YOLOv5":[62],"3D":[64],"convolutional":[65],"neural":[66],"network(C3D),":[67],"an":[68],"automatic":[69],"algorithm":[73],"based":[74,92],"YOLOv5+C3D":[76,94],"was":[77],"proposed.":[78],"Experimental":[79],"data":[80],"show":[81],"that":[82,105],"compared":[83],"other":[85],"methods,":[86],"method":[91],"has":[95,109],"higher":[97],"for":[99,114],"various":[100],"detection,":[103],"indicating":[104],"trained":[107],"model":[108],"strong":[111],"generalization":[112],"ability":[113],"detection.":[117]},"counts_by_year":[{"year":2025,"cited_by_count":1}],"updated_date":"2025-12-21T23:12:01.093139","created_date":"2025-10-10T00:00:00"}