{"id":"https://openalex.org/W7164893557","doi":"https://doi.org/10.1109/access.2026.3704299","title":"Attention-Enhanced and Quantization-Aware GRU-DCGAN for Efficient Surveillance Video Abnormal Behavior Detection","display_name":"Attention-Enhanced and Quantization-Aware GRU-DCGAN for Efficient Surveillance Video Abnormal Behavior Detection","publication_year":2026,"publication_date":"2026-01-01","ids":{"openalex":"https://openalex.org/W7164893557","doi":"https://doi.org/10.1109/access.2026.3704299"},"language":"en","primary_location":{"id":"doi:10.1109/access.2026.3704299","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2026.3704299","pdf_url":null,"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://doi.org/10.1109/access.2026.3704299","any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5058433949","display_name":"Setegn Asnakew Kasegn","orcid":"https://orcid.org/0009-0006-8025-4220"},"institutions":[{"id":"https://openalex.org/I26805570","display_name":"Jomo Kenyatta University of Agriculture and Technology","ror":"https://ror.org/015h5sy57","country_code":"KE","type":"education","lineage":["https://openalex.org/I26805570"]}],"countries":["KE"],"is_corresponding":false,"raw_author_name":"Setegn Asnakew Kasegn","raw_affiliation_strings":["Jomo Kenyatta University of Agriculture and Technology, Juja, Kenya"],"raw_orcid":"https://orcid.org/0009-0006-8025-4220","affiliations":[{"raw_affiliation_string":"Jomo Kenyatta University of Agriculture and Technology, Juja, Kenya","institution_ids":["https://openalex.org/I26805570"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5029938856","display_name":"Waweru Mwangi","orcid":"https://orcid.org/0009-0003-6352-5525"},"institutions":[{"id":"https://openalex.org/I26805570","display_name":"Jomo Kenyatta University of Agriculture and Technology","ror":"https://ror.org/015h5sy57","country_code":"KE","type":"education","lineage":["https://openalex.org/I26805570"]}],"countries":["KE"],"is_corresponding":false,"raw_author_name":"Ronald Waweru Mwangi","raw_affiliation_strings":["Jomo Kenyatta University of Agriculture and Technology, Juja, Kenya"],"raw_orcid":"https://orcid.org/0009-0003-6352-5525","affiliations":[{"raw_affiliation_string":"Jomo Kenyatta University of Agriculture and Technology, Juja, Kenya","institution_ids":["https://openalex.org/I26805570"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5113470393","display_name":"Michael W. Kimwele","orcid":null},"institutions":[{"id":"https://openalex.org/I26805570","display_name":"Jomo Kenyatta University of Agriculture and Technology","ror":"https://ror.org/015h5sy57","country_code":"KE","type":"education","lineage":["https://openalex.org/I26805570"]}],"countries":["KE"],"is_corresponding":false,"raw_author_name":"Michael W. Kimwele","raw_affiliation_strings":["Jomo Kenyatta University of Agriculture and Technology, Juja, Kenya"],"raw_orcid":"https://orcid.org/0009-0009-9221-2441","affiliations":[{"raw_affiliation_string":"Jomo Kenyatta University of Agriculture and Technology, Juja, Kenya","institution_ids":["https://openalex.org/I26805570"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5046408344","display_name":"Surafel Lemma Abebe","orcid":"https://orcid.org/0000-0002-2137-8673"},"institutions":[{"id":"https://openalex.org/I4537092","display_name":"Addis Ababa University","ror":"https://ror.org/038b8e254","country_code":"ET","type":"education","lineage":["https://openalex.org/I4537092"]}],"countries":["ET"],"is_corresponding":false,"raw_author_name":"Surafel Lemma Abebe","raw_affiliation_strings":["Addis Ababa University, Addis Ababa, Ethiopia"],"raw_orcid":"https://orcid.org/0000-0002-2137-8673","affiliations":[{"raw_affiliation_string":"Addis Ababa University, Addis Ababa, Ethiopia","institution_ids":["https://openalex.org/I4537092"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":{"value":2075,"currency":"USD","value_usd":2075},"apc_paid":{"value":2075,"currency":"USD","value_usd":2075},"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.60192712,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"14","issue":null,"first_page":"98778","last_page":"98802"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10812","display_name":"Human Pose and Action Recognition","score":0.1890999972820282,"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":0.1890999972820282,"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/T10036","display_name":"Advanced Neural Network Applications","score":0.1307000070810318,"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":0.09730000048875809,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/abnormality","display_name":"Abnormality","score":0.552299976348877},{"id":"https://openalex.org/keywords/object-detection","display_name":"Object detection","score":0.4180000126361847},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.36410000920295715},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.3181999921798706},{"id":"https://openalex.org/keywords/visualization","display_name":"Visualization","score":0.2825999855995178}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7746000289916992},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.5766000151634216},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5565000176429749},{"id":"https://openalex.org/C50965678","wikidata":"https://www.wikidata.org/wiki/Q2724302","display_name":"Abnormality","level":2,"score":0.552299976348877},{"id":"https://openalex.org/C2776151529","wikidata":"https://www.wikidata.org/wiki/Q3045304","display_name":"Object detection","level":3,"score":0.4180000126361847},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.36410000920295715},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.3181999921798706},{"id":"https://openalex.org/C36464697","wikidata":"https://www.wikidata.org/wiki/Q451553","display_name":"Visualization","level":2,"score":0.2825999855995178},{"id":"https://openalex.org/C26517878","wikidata":"https://www.wikidata.org/wiki/Q228039","display_name":"Key (lock)","level":2,"score":0.26409998536109924},{"id":"https://openalex.org/C9417928","wikidata":"https://www.wikidata.org/wiki/Q1070689","display_name":"Image processing","level":3,"score":0.24779999256134033}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/access.2026.3704299","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2026.3704299","pdf_url":null,"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:c562b159ab874e5d966505ec107c199d","is_oa":false,"landing_page_url":"https://doaj.org/article/c562b159ab874e5d966505ec107c199d","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":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"IEEE Access, Vol 14, Pp 98778-98802 (2026)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.1109/access.2026.3704299","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2026.3704299","pdf_url":null,"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/G8933312679","display_name":null,"funder_award_id":"57572496","funder_id":"https://openalex.org/F4320334761","funder_display_name":"German Academic Exchange Service London"}],"funders":[{"id":"https://openalex.org/F4320334761","display_name":"German Academic Exchange Service London","ror":"https://ror.org/039djdh30"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":[],"abstract_inverted_index":{"The":[0,39],"detection":[1,62,178],"of":[2,43,64,111,146,158,188],"abnormal":[3,164,229],"video":[4,29,119,230],"behavior":[5],"is":[6,53],"crucial":[7],"for":[8,27,48,227],"intelligent":[9],"surveillance":[10],"models.":[11],"Recently,":[12],"a":[13,69],"hybrid":[14,32],"gated":[15],"recurrent":[16],"unit-based":[17],"deep":[18],"convolutional":[19],"adversarial":[20],"network":[21],"(GRU-DCGAN)":[22],"has":[23],"shown":[24],"encouraging":[25],"results":[26],"detecting":[28,228],"anomalies.":[30],"However,":[31],"GRU-DCGANs":[33],"often":[34],"incur":[35],"high":[36,40],"computational":[37,41,57,98,107,134,219],"cost.":[38,135],"cost":[42,99,108,220],"GRU-DCGAN":[44,112,215],"was":[45],"the":[46,56,61,77,87,97,102,106,114,128,133,138,167,173,177,183,198,218],"motivation":[47],"this":[49],"study.":[50],"Our":[51],"goal":[52],"to":[54,79,89,162],"reduce":[55],"costs":[58],"and":[59,83,109,113,122,180,190,211,221],"enhance":[60,90],"performance":[63,110],"GRU-DCGAN.":[65],"This":[66],"study":[67],"proposes":[68],"novel":[70],"approach":[71,116,130,175],"that":[72,207],"integrates":[73],"spatial":[74,81],"attention":[75,85,212],"in":[76,86,166],"DCGAN":[78],"extract":[80],"features":[82],"temporal":[84,91],"GRU":[88],"modeling,":[92],"while":[93],"quantization-aware":[94,209],"training":[95,210],"reduces":[96,137,217],"without":[100],"affecting":[101],"performance.":[103],"We":[104],"evaluated":[105],"proposed":[115,129,174],"using":[117],"benchmark":[118],"anomaly":[120],"datasets":[121],"standard":[123],"metrics.":[124],"Compared":[125],"with":[126,171],"GRU-DCGAN,":[127,172],"significantly":[131,216],"reduced":[132,197],"It":[136,195],"inference":[139,156],"time":[140,157],"per":[141],"frame":[142],"by":[143,185,202],"an":[144,154,186],"average":[145,155,187],"$32.12\\times":[147],"$":[148],"across":[149,193],"datasets.":[150,194],"Consequently,":[151],"we":[152],"achieved":[153],"0.002825":[159],"(354":[160],"FPS)":[161],"detect":[163],"events":[165],"videos.":[168],"Furthermore,":[169],"compared":[170],"improves":[176,222],"accuracy":[179],"area":[181],"under":[182],"curve":[184],"3.01%":[189],"2.78%,":[191],"respectively,":[192],"also":[196],"equal":[199],"error":[200],"rate":[201],"0.04%.":[203],"These":[204],"findings":[205],"indicate":[206],"integrating":[208],"mechanisms":[213],"into":[214],"accuracy,":[223],"demonstrating":[224],"its":[225],"potential":[226],"behavior.":[231]},"counts_by_year":[],"updated_date":"2026-08-21T09:56:20.448147","created_date":"2026-06-17T00:00:00"}
