{"id":"https://openalex.org/W2989705574","doi":"https://doi.org/10.1109/access.2019.2954540","title":"Spatio-Temporal Unity Networking for Video Anomaly Detection","display_name":"Spatio-Temporal Unity Networking for Video Anomaly Detection","publication_year":2019,"publication_date":"2019-01-01","ids":{"openalex":"https://openalex.org/W2989705574","doi":"https://doi.org/10.1109/access.2019.2954540","mag":"2989705574"},"language":"en","primary_location":{"id":"doi:10.1109/access.2019.2954540","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2019.2954540","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/8600701/08907783.pdf","source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://ieeexplore.ieee.org/ielx7/6287639/8600701/08907783.pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":null,"display_name":"Yuanyuan Li","orcid":"https://orcid.org/0000-0002-4573-9760"},"institutions":[{"id":"https://openalex.org/I37796252","display_name":"Beijing University of Technology","ror":"https://ror.org/037b1pp87","country_code":"CN","type":"education","lineage":["https://openalex.org/I37796252"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yuanyuan Li","raw_affiliation_strings":["College of Information and Communications Engineering, Beijing University of Technology, Beijing, China"],"raw_orcid":"https://orcid.org/0000-0002-4573-9760","affiliations":[{"raw_affiliation_string":"College of Information and Communications Engineering, Beijing University of Technology, Beijing, China","institution_ids":["https://openalex.org/I37796252"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5014576537","display_name":"Yiheng Cai","orcid":"https://orcid.org/0000-0002-5859-5858"},"institutions":[{"id":"https://openalex.org/I37796252","display_name":"Beijing University of Technology","ror":"https://ror.org/037b1pp87","country_code":"CN","type":"education","lineage":["https://openalex.org/I37796252"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yiheng Cai","raw_affiliation_strings":["College of Information and Communications Engineering, Beijing University of Technology, Beijing, China"],"raw_orcid":"https://orcid.org/0000-0002-5859-5858","affiliations":[{"raw_affiliation_string":"College of Information and Communications Engineering, Beijing University of Technology, Beijing, China","institution_ids":["https://openalex.org/I37796252"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5068446183","display_name":"Jiaqi Liu","orcid":"https://orcid.org/0000-0002-5325-5301"},"institutions":[{"id":"https://openalex.org/I37796252","display_name":"Beijing University of Technology","ror":"https://ror.org/037b1pp87","country_code":"CN","type":"education","lineage":["https://openalex.org/I37796252"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jiaqi Liu","raw_affiliation_strings":["College of Information and Communications Engineering, Beijing University of Technology, Beijing, China"],"raw_orcid":"https://orcid.org/0000-0002-5325-5301","affiliations":[{"raw_affiliation_string":"College of Information and Communications Engineering, Beijing University of Technology, Beijing, China","institution_ids":["https://openalex.org/I37796252"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5076736632","display_name":"Shinan Lang","orcid":"https://orcid.org/0000-0003-3909-7316"},"institutions":[{"id":"https://openalex.org/I37796252","display_name":"Beijing University of Technology","ror":"https://ror.org/037b1pp87","country_code":"CN","type":"education","lineage":["https://openalex.org/I37796252"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Shinan Lang","raw_affiliation_strings":["College of Information and Communications Engineering, Beijing University of Technology, Beijing, China"],"raw_orcid":"https://orcid.org/0000-0003-3909-7316","affiliations":[{"raw_affiliation_string":"College of Information and Communications Engineering, Beijing University of Technology, Beijing, China","institution_ids":["https://openalex.org/I37796252"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5085132119","display_name":"Xinfeng Zhang","orcid":"https://orcid.org/0000-0001-6304-7189"},"institutions":[{"id":"https://openalex.org/I37796252","display_name":"Beijing University of Technology","ror":"https://ror.org/037b1pp87","country_code":"CN","type":"education","lineage":["https://openalex.org/I37796252"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xinfeng Zhang","raw_affiliation_strings":["College of Information and Communications Engineering, Beijing University of Technology, Beijing, China"],"raw_orcid":"https://orcid.org/0000-0001-6304-7189","affiliations":[{"raw_affiliation_string":"College of Information and Communications Engineering, Beijing University of Technology, Beijing, China","institution_ids":["https://openalex.org/I37796252"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I37796252"],"apc_list":{"value":1850,"currency":"USD","value_usd":1850},"apc_paid":{"value":1850,"currency":"USD","value_usd":1850},"fwci":3.3885,"has_fulltext":true,"cited_by_count":63,"citation_normalized_percentile":{"value":0.94026823,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":94,"max":100},"biblio":{"volume":"7","issue":null,"first_page":"172425","last_page":"172432"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11512","display_name":"Anomaly Detection Techniques and Applications","score":1.0,"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":1.0,"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/T10400","display_name":"Network Security and Intrusion Detection","score":0.9975000023841858,"subfield":{"id":"https://openalex.org/subfields/1705","display_name":"Computer Networks and Communications"},"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":0.9926999807357788,"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":0.8544111251831055},{"id":"https://openalex.org/keywords/anomaly-detection","display_name":"Anomaly detection","score":0.8433440923690796},{"id":"https://openalex.org/keywords/autoencoder","display_name":"Autoencoder","score":0.7893518209457397},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5910086035728455},{"id":"https://openalex.org/keywords/frame","display_name":"Frame (networking)","score":0.527702808380127},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.4945699870586395},{"id":"https://openalex.org/keywords/encoder","display_name":"Encoder","score":0.47243747115135193},{"id":"https://openalex.org/keywords/reference-frame","display_name":"Reference frame","score":0.45021137595176697},{"id":"https://openalex.org/keywords/anomaly","display_name":"Anomaly (physics)","score":0.44965270161628723},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.38824716210365295},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.3304576873779297},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.177170991897583}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8544111251831055},{"id":"https://openalex.org/C739882","wikidata":"https://www.wikidata.org/wiki/Q3560506","display_name":"Anomaly detection","level":2,"score":0.8433440923690796},{"id":"https://openalex.org/C101738243","wikidata":"https://www.wikidata.org/wiki/Q786435","display_name":"Autoencoder","level":3,"score":0.7893518209457397},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5910086035728455},{"id":"https://openalex.org/C126042441","wikidata":"https://www.wikidata.org/wiki/Q1324888","display_name":"Frame (networking)","level":2,"score":0.527702808380127},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.4945699870586395},{"id":"https://openalex.org/C118505674","wikidata":"https://www.wikidata.org/wiki/Q42586063","display_name":"Encoder","level":2,"score":0.47243747115135193},{"id":"https://openalex.org/C172849965","wikidata":"https://www.wikidata.org/wiki/Q3148875","display_name":"Reference frame","level":3,"score":0.45021137595176697},{"id":"https://openalex.org/C12997251","wikidata":"https://www.wikidata.org/wiki/Q567560","display_name":"Anomaly (physics)","level":2,"score":0.44965270161628723},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.38824716210365295},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.3304576873779297},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.177170991897583},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.0},{"id":"https://openalex.org/C26873012","wikidata":"https://www.wikidata.org/wiki/Q214781","display_name":"Condensed matter physics","level":1,"score":0.0},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","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}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/access.2019.2954540","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2019.2954540","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/8600701/08907783.pdf","source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},{"id":"pmh:oai:doaj.org/article:19fc81132fe6461ebf5cfc3f45b70389","is_oa":true,"landing_page_url":"https://doaj.org/article/19fc81132fe6461ebf5cfc3f45b70389","pdf_url":null,"source":{"id":"https://openalex.org/S4306401280","display_name":"DOAJ (DOAJ: Directory of Open Access Journals)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by-sa","license_id":"https://openalex.org/licenses/cc-by-sa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"IEEE Access, Vol 7, Pp 172425-172432 (2019)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.1109/access.2019.2954540","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2019.2954540","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/8600701/08907783.pdf","source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G1596313839","display_name":null,"funder_award_id":"KM201710005028","funder_id":"https://openalex.org/F4320321572","funder_display_name":"Beijing Municipal Commission of Education"},{"id":"https://openalex.org/G2832328630","display_name":null,"funder_award_id":"KM201910005027","funder_id":"https://openalex.org/F4320321572","funder_display_name":"Beijing Municipal Commission of Education"},{"id":"https://openalex.org/G6838265431","display_name":null,"funder_award_id":"2017YFC1703302","funder_id":"https://openalex.org/F4320335777","funder_display_name":"National Key Research and Development Program of China"}],"funders":[{"id":"https://openalex.org/F4320321572","display_name":"Beijing Municipal Commission of Education","ror":"https://ror.org/04bpn6s66"},{"id":"https://openalex.org/F4320335777","display_name":"National Key Research and Development Program of China","ror":null}],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W2989705574.pdf","grobid_xml":"https://content.openalex.org/works/W2989705574.grobid-xml"},"referenced_works_count":29,"referenced_works":["https://openalex.org/W1485009520","https://openalex.org/W1901129140","https://openalex.org/W1947481528","https://openalex.org/W2122361470","https://openalex.org/W2163612318","https://openalex.org/W2175030374","https://openalex.org/W2341058432","https://openalex.org/W2527524734","https://openalex.org/W2540481276","https://openalex.org/W2543431435","https://openalex.org/W2554847032","https://openalex.org/W2559927751","https://openalex.org/W2577946330","https://openalex.org/W2606538621","https://openalex.org/W2739846485","https://openalex.org/W2753526808","https://openalex.org/W2766042539","https://openalex.org/W2774926247","https://openalex.org/W2808441463","https://openalex.org/W2963315828","https://openalex.org/W2963610939","https://openalex.org/W2964032056","https://openalex.org/W4297772798","https://openalex.org/W6628877408","https://openalex.org/W6639824700","https://openalex.org/W6685316221","https://openalex.org/W6691096134","https://openalex.org/W6730548322","https://openalex.org/W6732248266"],"related_works":["https://openalex.org/W3186512740","https://openalex.org/W4363671829","https://openalex.org/W2780476542","https://openalex.org/W2806741695","https://openalex.org/W4290647774","https://openalex.org/W3189286258","https://openalex.org/W3207797160","https://openalex.org/W3210364259","https://openalex.org/W4300558037","https://openalex.org/W2667207928"],"abstract_inverted_index":{"Anomaly":[0],"detection":[1,127],"in":[2,37,87,94,138,195,203],"video":[3,108,193,201],"surveillance":[4],"is":[5,75,84,222],"challenging":[6],"due":[7],"to":[8,54,104,176],"the":[9,18,81,88,134,143,169,179,206,209,218],"variety":[10],"of":[11,20,29,43,67,97,136,145,162,181,208],"anomaly":[12,182,188],"types":[13],"and":[14,50,125,197,212,228],"definitions,":[15],"which":[16,221],"limit":[17],"use":[19],"supervised":[21],"techniques.":[22],"As":[23,110],"such,":[24,111],"auto-encoder":[25],"structures,":[26],"a":[27,48,56,62,69,95,115,156,163],"type":[28],"classical":[30],"unsupervised":[31],"method,":[32],"have":[33],"recently":[34],"been":[35],"utilized":[36],"this":[38,112],"field.":[39],"These":[40],"structures":[41],"consist":[42],"an":[44],"encoder":[45],"followed":[46],"by":[47],"decoder":[49],"are":[51],"typically":[52,85],"adopted":[53],"restructure":[55],"current":[57,170],"input":[58],"frame":[59,120,171],"or":[60,71,106],"predict":[61,105],"future":[63,174],"frame.":[64],"However,":[65],"regardless":[66],"whether":[68],"2D":[70],"3D":[72],"autoencoder":[73],"structure":[74],"adopted,":[76],"only":[77,168],"single-scale":[78],"information":[79,141],"from":[80],"previous":[82],"layer":[83],"used":[86,103],"decoding":[89],"process.":[90],"This":[91,131],"can":[92],"result":[93],"loss":[96],"detail":[98],"that":[99],"could":[100],"potentially":[101],"be":[102],"reconstruct":[107],"frames.":[109],"study":[113],"proposes":[114],"novel":[116],"spatio\u2013temporal":[117],"U-Net":[118],"for":[119,147,166,217],"prediction":[121,129,164],"using":[122,128],"normal":[123],"events":[124],"abnormality":[126],"error.":[130],"framework":[132],"combines":[133],"benefits":[135],"U-Nets":[137],"representing":[139],"spatial":[140],"with":[142],"capabilities":[144],"ConvLSTM":[146],"modeling":[148],"temporal":[149],"motion":[150],"data.":[151],"In":[152],"addition,":[153],"we":[154,213],"propose":[155],"new":[157],"regular":[158],"score":[159],"function,":[160],"consisting":[161],"error":[165],"not":[167],"but":[172],"also":[173],"frames,":[175],"further":[177],"improve":[178],"accuracy":[180],"detection.":[183],"Extensive":[184],"experiments":[185],"on":[186],"common":[187],"datasets,":[189],"including":[190],"UCSD":[191],"(98":[192],"clips":[194,202],"total)":[196],"CUHK":[198],"Avenue":[199],"(30":[200],"total),":[204],"validated":[205],"performance":[207],"proposed":[210],"technique":[211],"achieved":[214],"96.5%":[215],"AUC":[216],"Ped2":[219],"dataset,":[220],"much":[223],"better":[224],"than":[225],"existing":[226],"autoencoder-based":[227],"U-Net-based":[229],"methods.":[230]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":7},{"year":2024,"cited_by_count":13},{"year":2023,"cited_by_count":18},{"year":2022,"cited_by_count":15},{"year":2021,"cited_by_count":5},{"year":2020,"cited_by_count":4}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
