{"id":"https://openalex.org/W4404031067","doi":"https://doi.org/10.1109/icccnt61001.2024.10725860","title":"A Hybrid U-Net and Vision Transformer approach for Video Anomaly detection","display_name":"A Hybrid U-Net and Vision Transformer approach for Video Anomaly detection","publication_year":2024,"publication_date":"2024-06-24","ids":{"openalex":"https://openalex.org/W4404031067","doi":"https://doi.org/10.1109/icccnt61001.2024.10725860"},"language":"en","primary_location":{"id":"doi:10.1109/icccnt61001.2024.10725860","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icccnt61001.2024.10725860","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 15th International Conference on Computing Communication and Networking Technologies (ICCCNT)","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/A5047425905","display_name":"Anisha Gupta","orcid":"https://orcid.org/0000-0002-0276-9169"},"institutions":[{"id":"https://openalex.org/I60054993","display_name":"Graphic Era University","ror":"https://ror.org/03wqgqd89","country_code":"IN","type":"education","lineage":["https://openalex.org/I60054993"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Anisha Gupta","raw_affiliation_strings":["Graphic Era deemed to be university,Department of Computer Science and Engineering,Dehradun,India"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Graphic Era deemed to be university,Department of Computer Science and Engineering,Dehradun,India","institution_ids":["https://openalex.org/I60054993"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5067767024","display_name":"Vidit Kumar","orcid":"https://orcid.org/0000-0002-6157-7562"},"institutions":[{"id":"https://openalex.org/I60054993","display_name":"Graphic Era University","ror":"https://ror.org/03wqgqd89","country_code":"IN","type":"education","lineage":["https://openalex.org/I60054993"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Vidit Kumar","raw_affiliation_strings":["Graphic Era deemed to be university,Department of Computer Science and Engineering,Dehradun,India"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Graphic Era deemed to be university,Department of Computer Science and Engineering,Dehradun,India","institution_ids":["https://openalex.org/I60054993"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I60054993"],"apc_list":null,"apc_paid":null,"fwci":0.2986,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.65933393,"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/T11512","display_name":"Anomaly Detection Techniques and Applications","score":0.9991999864578247,"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":0.9991999864578247,"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":0.9883999824523926,"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/T12357","display_name":"Digital Media Forensic Detection","score":0.9833999872207642,"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/anomaly-detection","display_name":"Anomaly detection","score":0.6502133011817932},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6107994914054871},{"id":"https://openalex.org/keywords/transformer","display_name":"Transformer","score":0.5948827266693115},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5056979656219482},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.4781856834888458},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.14243492484092712},{"id":"https://openalex.org/keywords/electrical-engineering","display_name":"Electrical engineering","score":0.0981525182723999},{"id":"https://openalex.org/keywords/voltage","display_name":"Voltage","score":0.08598071336746216}],"concepts":[{"id":"https://openalex.org/C739882","wikidata":"https://www.wikidata.org/wiki/Q3560506","display_name":"Anomaly detection","level":2,"score":0.6502133011817932},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6107994914054871},{"id":"https://openalex.org/C66322947","wikidata":"https://www.wikidata.org/wiki/Q11658","display_name":"Transformer","level":3,"score":0.5948827266693115},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5056979656219482},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.4781856834888458},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.14243492484092712},{"id":"https://openalex.org/C119599485","wikidata":"https://www.wikidata.org/wiki/Q43035","display_name":"Electrical engineering","level":1,"score":0.0981525182723999},{"id":"https://openalex.org/C165801399","wikidata":"https://www.wikidata.org/wiki/Q25428","display_name":"Voltage","level":2,"score":0.08598071336746216}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icccnt61001.2024.10725860","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icccnt61001.2024.10725860","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 15th International Conference on Computing Communication and Networking Technologies (ICCCNT)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/13","score":0.4000000059604645,"display_name":"Climate action"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":48,"referenced_works":["https://openalex.org/W1901129140","https://openalex.org/W2002830978","https://openalex.org/W2122361470","https://openalex.org/W2162616721","https://openalex.org/W2164261375","https://openalex.org/W2164489414","https://openalex.org/W2337453828","https://openalex.org/W2605665146","https://openalex.org/W2738328309","https://openalex.org/W2739846485","https://openalex.org/W2806630196","https://openalex.org/W2908669232","https://openalex.org/W2921491036","https://openalex.org/W2962849408","https://openalex.org/W2963899855","https://openalex.org/W2964032056","https://openalex.org/W2978971541","https://openalex.org/W2996443765","https://openalex.org/W3034986516","https://openalex.org/W3035699237","https://openalex.org/W3037420336","https://openalex.org/W3042642865","https://openalex.org/W3044374951","https://openalex.org/W3092557781","https://openalex.org/W3101466234","https://openalex.org/W3101768930","https://openalex.org/W3107664750","https://openalex.org/W3144936678","https://openalex.org/W3196890755","https://openalex.org/W3205734594","https://openalex.org/W4206677720","https://openalex.org/W4214612132","https://openalex.org/W4225322470","https://openalex.org/W4236945893","https://openalex.org/W4281478450","https://openalex.org/W4293649366","https://openalex.org/W4297697565","https://openalex.org/W4366090965","https://openalex.org/W4390777098","https://openalex.org/W4392166996","https://openalex.org/W4392910542","https://openalex.org/W4393153999","https://openalex.org/W4394862565","https://openalex.org/W6739901393","https://openalex.org/W6766679043","https://openalex.org/W6767707592","https://openalex.org/W6771989599","https://openalex.org/W6780097454"],"related_works":["https://openalex.org/W2772917594","https://openalex.org/W2036807459","https://openalex.org/W2058170566","https://openalex.org/W2755342338","https://openalex.org/W2166024367","https://openalex.org/W3116076068","https://openalex.org/W2229312674","https://openalex.org/W2951359407","https://openalex.org/W2079911747","https://openalex.org/W1969923398"],"abstract_inverted_index":{"The":[0,64],"growing":[1],"dependence":[2],"on":[3,71,85],"surveillance":[4,62],"videos":[5,74],"highlights":[6],"the":[7,25],"need":[8],"for":[9,57,80],"automating":[10],"anomalous":[11],"events":[12],"detection":[13,60],"in":[14,53,61],"videos,":[15],"to":[16,94],"improve":[17],"real-time":[18],"response":[19],"and":[20,34,75],"reduce":[21],"manual":[22],"workload.":[23],"However,":[24],"diverse":[26],"nature":[27],"of":[28],"abnormal":[29],"activities":[30],"across":[31],"various":[32],"public":[33],"private":[35],"settings":[36],"poses":[37],"a":[38,44],"challenge.":[39],"This":[40],"paper":[41],"proposes":[42],"integrating":[43],"U-Net-based":[45],"architecture":[46],"with":[47],"vision":[48],"transformers,":[49],"leveraging":[50],"their":[51],"capabilities":[52],"capturing":[54],"long-range":[55],"dependencies,":[56],"frame-level":[58],"anomaly":[59],"videos.":[63],"model":[65],"learns":[66],"inherent":[67],"patterns":[68],"by":[69],"training":[70],"normal":[72],"event":[73],"identifies":[76],"deviations":[77],"during":[78],"testing":[79],"unseen":[81],"video":[82],"frames.":[83],"Experiments":[84],"UCSD":[86],"-":[87],"Ped1":[88],"Dataset":[89],"shows":[90],"better":[91],"results":[92],"compared":[93],"others.":[95]},"counts_by_year":[{"year":2025,"cited_by_count":1}],"updated_date":"2026-06-26T08:34:08.712188","created_date":"2025-10-10T00:00:00"}
