{"id":"https://openalex.org/W4401211463","doi":"https://doi.org/10.1109/icccs61882.2024.10602970","title":"Research on the Detection Algorithm for Abnormal Crowd Behaviors Based on an Enhanced SlowFast Model","display_name":"Research on the Detection Algorithm for Abnormal Crowd Behaviors Based on an Enhanced SlowFast Model","publication_year":2024,"publication_date":"2024-04-19","ids":{"openalex":"https://openalex.org/W4401211463","doi":"https://doi.org/10.1109/icccs61882.2024.10602970"},"language":"en","primary_location":{"id":"doi:10.1109/icccs61882.2024.10602970","doi":"https://doi.org/10.1109/icccs61882.2024.10602970","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icccs61882.2024.10602970","pdf_url":null,"source":{"id":"https://openalex.org/S4306498617","display_name":"International Conference on Computer and Communication Systems (ICCCS)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 9th International Conference on Computer and Communication Systems (ICCCS)","raw_type":"proceedings-article"},"volume":null,"type":"conference-paper","is_traditional":true,"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/A5087584539","display_name":"Yueping Peng","orcid":"https://orcid.org/0000-0002-0441-0854","observed_orcids":["https://orcid.org/0000-0002-0441-0854"]},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Yueping Peng","raw_affiliation_strings":["Information Engineering Collage, Engineering University of PAP,Xian,China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Information Engineering Collage, Engineering University of PAP,Xian,China","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5111322995","display_name":"Hexiang Hao","orcid":"https://orcid.org/0009-0002-9107-6563","observed_orcids":["https://orcid.org/0009-0002-9107-6563"]},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Hexiang Hao","raw_affiliation_strings":["Engineering University of PAP,Xian,China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Engineering University of PAP,Xian,China","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101834111","display_name":"Tongtong Zhou","orcid":"https://orcid.org/0000-0002-7136-072X","observed_orcids":["https://orcid.org/0000-0002-7136-072X"]},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Tongtong Zhou","raw_affiliation_strings":["Engineering University of PAP,Xian,China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Engineering University of PAP,Xian,China","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101332881","display_name":"Baixuan Han","orcid":"https://orcid.org/0009-0002-5139-1622","observed_orcids":["https://orcid.org/0009-0002-5139-1622"]},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Baixuan Han","raw_affiliation_strings":["Engineering University of PAP,Xian,China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Engineering University of PAP,Xian,China","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100580099","display_name":"Wenji Yin","orcid":"https://orcid.org/0009-0006-4670-024X","observed_orcids":["https://orcid.org/0009-0006-4670-024X"]},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Wenji Yin","raw_affiliation_strings":["Engineering University of PAP,Xian,China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Engineering University of PAP,Xian,China","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":0,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.2803,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.55291099,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":88,"max":93},"biblio":{"volume":null,"issue":null,"first_page":"67","last_page":"72"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10812","display_name":"Human Pose and Action Recognition","score":0.9653000235557556,"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":0.9653000235557556,"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":0.018699999898672104,"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":0.00800000037997961,"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/depthwise-separable-convolution","display_name":"depthwise separable convolution","score":0.9039999842643738},{"id":"https://openalex.org/keywords/dropout","display_name":"dropout","score":0.4180000126361847},{"id":"https://openalex.org/keywords/overfitting","display_name":"overfitting","score":0.7059999704360962},{"id":"https://openalex.org/keywords/real-time-video-analysis","display_name":"real-time video analysis","score":0.7440000176429749}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.653828501701355},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.34952884912490845},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.33763933181762695}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icccs61882.2024.10602970","doi":"https://doi.org/10.1109/icccs61882.2024.10602970","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icccs61882.2024.10602970","pdf_url":null,"source":{"id":"https://openalex.org/S4306498617","display_name":"International Conference on Computer and Communication Systems (ICCCS)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 9th International Conference on Computer and Communication Systems (ICCCS)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"study_designs":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":10,"referenced_works":["https://openalex.org/W1522734439","https://openalex.org/W2095705004","https://openalex.org/W2156303437","https://openalex.org/W2341058432","https://openalex.org/W2499435833","https://openalex.org/W2604690669","https://openalex.org/W2884585870","https://openalex.org/W2990503944","https://openalex.org/W3157433918","https://openalex.org/W4213006331"],"related_works":["https://openalex.org/W3192718307","https://openalex.org/W3081397291","https://openalex.org/W2025266389","https://openalex.org/W2624127741","https://openalex.org/W3088383315","https://openalex.org/W4402418315","https://openalex.org/W4391159232","https://openalex.org/W7103990112","https://openalex.org/W2914159551","https://openalex.org/W4396648587"],"abstract_inverted_index":{"Aiming":[0],"at":[1],"the":[2,29,37,41,58,64,75,81,102,112,119,124,139,147],"issues":[3],"of":[4,7,40,67,71,92,126,151,154],"inaccurate":[5],"detection":[6,14,25,68],"behavioral":[8],"classification":[9,70,150],"in":[10,83,94,101],"crowd":[11,22],"abnormal":[12,23,152],"behaviors":[13,24,72,93,153],"algorithms":[15],"and":[16,53,69,88,107,116,123,149],"large":[17],"model":[18,32,115],"computation":[19],"capacity,":[20],"a":[21,44,48,143],"algorithm":[26],"based":[27],"on":[28],"improved":[30],"SlowFast":[31,114],"is":[33,121],"proposed.":[34],"By":[35],"changing":[36],"convolutional":[38],"structure":[39],"network":[42],"to":[43,56,134],"Depthwise-separable":[45],"convolution,":[46],"adding":[47],"hybrid":[49],"domain":[50],"attention":[51],"mechanism,":[52],"inserting":[54],"Dropout":[55],"inhibit":[57],"overfitting":[59],"phenomenon,":[60],"we":[61],"can":[62,86,131],"enhance":[63],"network's":[65],"precision":[66,120],"while":[73],"ensuring":[74],"computational":[76],"capacity.":[77],"Experiments":[78],"show":[79],"that":[80],"method":[82],"this":[84],"paper":[85],"detect":[87],"identify":[89],"five":[90],"types":[91],"public":[95],"places:":[96],"normal,":[97],"scattered,":[98],"speeding":[99],"up":[100,133],"same":[103],"direction,":[104],"sudden":[105],"gathering,":[106],"group":[108],"fighting.":[109],"Compared":[110],"with":[111],"original":[113],"other":[117],"algorithms,":[118],"improved,":[122],"number":[125],"detected":[127],"frames":[128],"per":[129],"second":[130],"be":[132],"40.5":[135],"fps,":[136],"which":[137],"meets":[138],"real-time":[140],"requirements,":[141],"providing":[142],"new":[144],"idea":[145],"for":[146],"determination":[148],"crowds.":[155]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":1}],"updated_date":"2026-10-16T09:59:22.235173","created_date":"2024-08-02T00:00:00"}
