{"id":"https://openalex.org/W7165395852","doi":"https://doi.org/10.1016/j.imavis.2026.106087","title":"Identifying weapon-carrying actions in video surveillance systems through self-attention","display_name":"Identifying weapon-carrying actions in video surveillance systems through self-attention","publication_year":2026,"publication_date":"2026-06-19","ids":{"openalex":"https://openalex.org/W7165395852","doi":"https://doi.org/10.1016/j.imavis.2026.106087"},"language":"en","primary_location":{"id":"doi:10.1016/j.imavis.2026.106087","is_oa":true,"landing_page_url":"https://doi.org/10.1016/j.imavis.2026.106087","pdf_url":null,"source":{"id":"https://openalex.org/S177430994","display_name":"Image and Vision Computing","issn_l":"0262-8856","issn":["0262-8856","1872-8138"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320990","host_organization_name":"Elsevier BV","host_organization_lineage":["https://openalex.org/P4310320990"],"host_organization_lineage_names":["Elsevier BV"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Image and Vision Computing","raw_type":"journal-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"hybrid","oa_url":"https://doi.org/10.1016/j.imavis.2026.106087","any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5035690469","display_name":"Jes\u00fas Ruiz-Santaquiteria","orcid":"https://orcid.org/0000-0003-1454-7624"},"institutions":[{"id":"https://openalex.org/I79189158","display_name":"University of Castilla-La Mancha","ror":"https://ror.org/05r78ng12","country_code":"ES","type":"education","lineage":["https://openalex.org/I79189158"]}],"countries":["ES"],"is_corresponding":true,"raw_author_name":"Jesus Ruiz-Santaquiteria","raw_affiliation_strings":["VISILAB, E.T.S. Ingenier\u00eda Industrial, University of Castilla-La Mancha (UCLM), Ciudad Real, Spain"],"raw_orcid":"https://orcid.org/0000-0003-1454-7624","affiliations":[{"raw_affiliation_string":"VISILAB, E.T.S. Ingenier\u00eda Industrial, University of Castilla-La Mancha (UCLM), Ciudad Real, Spain","institution_ids":["https://openalex.org/I79189158"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5113713880","display_name":"Oscar Deniz","orcid":null},"institutions":[{"id":"https://openalex.org/I79189158","display_name":"University of Castilla-La Mancha","ror":"https://ror.org/05r78ng12","country_code":"ES","type":"education","lineage":["https://openalex.org/I79189158"]}],"countries":["ES"],"is_corresponding":false,"raw_author_name":"Oscar Deniz","raw_affiliation_strings":["VISILAB, E.T.S. Ingenier\u00eda Industrial, University of Castilla-La Mancha (UCLM), Ciudad Real, Spain"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"VISILAB, E.T.S. Ingenier\u00eda Industrial, University of Castilla-La Mancha (UCLM), Ciudad Real, Spain","institution_ids":["https://openalex.org/I79189158"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5139021159","display_name":"Gloria Bueno","orcid":null},"institutions":[{"id":"https://openalex.org/I79189158","display_name":"University of Castilla-La Mancha","ror":"https://ror.org/05r78ng12","country_code":"ES","type":"education","lineage":["https://openalex.org/I79189158"]}],"countries":["ES"],"is_corresponding":false,"raw_author_name":"Gloria Bueno","raw_affiliation_strings":["VISILAB, E.T.S. Ingenier\u00eda Industrial, University of Castilla-La Mancha (UCLM), Ciudad Real, Spain"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"VISILAB, E.T.S. Ingenier\u00eda Industrial, University of Castilla-La Mancha (UCLM), Ciudad Real, Spain","institution_ids":["https://openalex.org/I79189158"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":["https://openalex.org/A5035690469"],"corresponding_institution_ids":["https://openalex.org/I79189158"],"apc_list":{"value":2270,"currency":"USD","value_usd":2270},"apc_paid":{"value":2270,"currency":"USD","value_usd":2270},"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.8029436,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"173","issue":null,"first_page":"106087","last_page":"106087"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10812","display_name":"Human Pose and Action Recognition","score":0.953499972820282,"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":0.953499972820282,"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":0.008299999870359898,"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/T12740","display_name":"Gait Recognition and Analysis","score":0.005799999926239252,"subfield":{"id":"https://openalex.org/subfields/2204","display_name":"Biomedical Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/encoder","display_name":"Encoder","score":0.604200005531311},{"id":"https://openalex.org/keywords/process","display_name":"Process (computing)","score":0.5626999735832214},{"id":"https://openalex.org/keywords/transformer","display_name":"Transformer","score":0.531000018119812},{"id":"https://openalex.org/keywords/action-recognition","display_name":"Action recognition","score":0.5060999989509583},{"id":"https://openalex.org/keywords/object-detection","display_name":"Object detection","score":0.4932999908924103},{"id":"https://openalex.org/keywords/object","display_name":"Object (grammar)","score":0.4185999929904938},{"id":"https://openalex.org/keywords/action","display_name":"Action (physics)","score":0.4077000021934509}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7932000160217285},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6773999929428101},{"id":"https://openalex.org/C118505674","wikidata":"https://www.wikidata.org/wiki/Q42586063","display_name":"Encoder","level":2,"score":0.604200005531311},{"id":"https://openalex.org/C98045186","wikidata":"https://www.wikidata.org/wiki/Q205663","display_name":"Process (computing)","level":2,"score":0.5626999735832214},{"id":"https://openalex.org/C66322947","wikidata":"https://www.wikidata.org/wiki/Q11658","display_name":"Transformer","level":3,"score":0.531000018119812},{"id":"https://openalex.org/C2987834672","wikidata":"https://www.wikidata.org/wiki/Q4677630","display_name":"Action recognition","level":3,"score":0.5060999989509583},{"id":"https://openalex.org/C2776151529","wikidata":"https://www.wikidata.org/wiki/Q3045304","display_name":"Object detection","level":3,"score":0.4932999908924103},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.4724000096321106},{"id":"https://openalex.org/C2781238097","wikidata":"https://www.wikidata.org/wiki/Q175026","display_name":"Object (grammar)","level":2,"score":0.4185999929904938},{"id":"https://openalex.org/C2780791683","wikidata":"https://www.wikidata.org/wiki/Q846785","display_name":"Action (physics)","level":2,"score":0.4077000021934509},{"id":"https://openalex.org/C123657996","wikidata":"https://www.wikidata.org/wiki/Q12271","display_name":"Architecture","level":2,"score":0.40610000491142273},{"id":"https://openalex.org/C202474056","wikidata":"https://www.wikidata.org/wiki/Q1931635","display_name":"Video tracking","level":3,"score":0.3580999970436096},{"id":"https://openalex.org/C64876066","wikidata":"https://www.wikidata.org/wiki/Q5141226","display_name":"Cognitive neuroscience of visual object recognition","level":3,"score":0.3452000021934509},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.3384000062942505},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3086000084877014},{"id":"https://openalex.org/C101738243","wikidata":"https://www.wikidata.org/wiki/Q786435","display_name":"Autoencoder","level":3,"score":0.28610000014305115},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.2712000012397766},{"id":"https://openalex.org/C2986045029","wikidata":"https://www.wikidata.org/wiki/Q294240","display_name":"Public security","level":2,"score":0.2712000012397766}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1016/j.imavis.2026.106087","is_oa":true,"landing_page_url":"https://doi.org/10.1016/j.imavis.2026.106087","pdf_url":null,"source":{"id":"https://openalex.org/S177430994","display_name":"Image and Vision Computing","issn_l":"0262-8856","issn":["0262-8856","1872-8138"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320990","host_organization_name":"Elsevier BV","host_organization_lineage":["https://openalex.org/P4310320990"],"host_organization_lineage_names":["Elsevier BV"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Image and Vision Computing","raw_type":"journal-article"}],"best_oa_location":{"id":"doi:10.1016/j.imavis.2026.106087","is_oa":true,"landing_page_url":"https://doi.org/10.1016/j.imavis.2026.106087","pdf_url":null,"source":{"id":"https://openalex.org/S177430994","display_name":"Image and Vision Computing","issn_l":"0262-8856","issn":["0262-8856","1872-8138"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320990","host_organization_name":"Elsevier BV","host_organization_lineage":["https://openalex.org/P4310320990"],"host_organization_lineage_names":["Elsevier BV"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Image and Vision Computing","raw_type":"journal-article"},"sustainable_development_goals":[{"score":0.7368027567863464,"display_name":"Peace, Justice and strong institutions","id":"https://metadata.un.org/sdg/16"}],"awards":[],"funders":[{"id":"https://openalex.org/F4320320300","display_name":"European Commission","ror":"https://ror.org/00k4n6c32"},{"id":"https://openalex.org/F4320324466","display_name":"Universidad de Castilla-La Mancha","ror":"https://ror.org/05r78ng12"},{"id":"https://openalex.org/F4320327216","display_name":"Junta de Comunidades de Castilla-La Mancha","ror":"https://ror.org/02jv91m18"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":23,"referenced_works":["https://openalex.org/W2095122348","https://openalex.org/W2213892522","https://openalex.org/W2590001609","https://openalex.org/W2590146393","https://openalex.org/W2917819557","https://openalex.org/W2922030436","https://openalex.org/W3087567483","https://openalex.org/W3093926497","https://openalex.org/W3109232211","https://openalex.org/W3181894699","https://openalex.org/W3183238510","https://openalex.org/W3203160579","https://openalex.org/W3213918751","https://openalex.org/W4200301490","https://openalex.org/W4290043219","https://openalex.org/W4312008226","https://openalex.org/W4390604432","https://openalex.org/W4400723062","https://openalex.org/W4401507518","https://openalex.org/W4405401855","https://openalex.org/W4406936205","https://openalex.org/W4407248675","https://openalex.org/W4410398279"],"related_works":[],"abstract_inverted_index":{"Video":[0],"surveillance":[1,64],"systems":[2],"can":[3],"play":[4],"a":[5,55,75,123],"critical":[6],"role":[7],"in":[8,14,149],"ensuring":[9],"public":[10],"safety":[11],"by":[12,102,113],"assisting":[13],"the":[15,139],"early":[16],"detection":[17,115],"of":[18,129,132],"potentially":[19],"dangerous":[20],"objects":[21],"or":[22,29,94],"actions,":[23],"such":[24],"as":[25,90],"people":[26],"carrying":[27],"handguns":[28],"other":[30,146],"weapons.":[31],"Recent":[32],"machine":[33],"learning":[34],"architectures":[35],"based":[36,57],"on":[37,122],"multi-head":[38],"self-attention":[39],"modules":[40],"have":[41],"demonstrated":[42],"their":[43],"ability":[44],"to":[45,73,79],"process":[46],"sequential":[47],"data.":[48],"In":[49],"this":[50,70,150],"work,":[51],"we":[52],"propose":[53],"AWARE,":[54],"self-Attention":[56],"Weapon":[58],"Activity":[59],"Recognition":[60],"architecture":[61],"for":[62],"video":[63,85,130],"systems.":[65],"The":[66,97],"main":[67],"idea":[68],"behind":[69],"approach":[71],"is":[72,100],"use":[74],"Transformer":[76],"encoder":[77],"module":[78],"extract":[80],"relevant":[81],"features":[82],"from":[83],"input":[84,98],"sequences":[86,131],"and":[87,108],"classify":[88],"them":[89],"either":[91],"weapon-related":[92],"actions":[93],"non-dangerous":[95],"actions.":[96,134],"data":[99],"generated":[101,112],"combining":[103],"2D":[104],"human":[105],"pose":[106],"keypoints":[107],"potential":[109],"weapon":[110],"locations":[111],"object":[114],"models.":[116],"We":[117],"evaluate":[118],"our":[119],"proposed":[120,140],"method":[121,141],"new":[124],"action":[125],"recognition":[126],"dataset":[127],"composed":[128],"gun-related":[133],"Experiments":[135],"conducted":[136],"show":[137],"that":[138],"achieves":[142],"better":[143],"results":[144],"than":[145],"similar":[147],"methods":[148],"context.":[151]},"counts_by_year":[],"updated_date":"2026-06-24T06:17:17.354583","created_date":"2026-06-20T00:00:00"}