{"id":"https://openalex.org/W3010779341","doi":"https://doi.org/10.1109/apsipaasc47483.2019.9023182","title":"Gun Detection in Surveillance Videos using Deep Neural Networks","display_name":"Gun Detection in Surveillance Videos using Deep Neural Networks","publication_year":2019,"publication_date":"2019-11-01","ids":{"openalex":"https://openalex.org/W3010779341","doi":"https://doi.org/10.1109/apsipaasc47483.2019.9023182","mag":"3010779341"},"language":"en","primary_location":{"id":"doi:10.1109/apsipaasc47483.2019.9023182","is_oa":false,"landing_page_url":"https://doi.org/10.1109/apsipaasc47483.2019.9023182","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2019 Asia-Pacific Signal and Information Processing Association Annual Summit and Conference (APSIPA ASC)","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/A5109517233","display_name":"JunYi Lim","orcid":null},"institutions":[{"id":"https://openalex.org/I11662577","display_name":"Monash University Malaysia","ror":"https://ror.org/00yncr324","country_code":"MY","type":"education","lineage":["https://openalex.org/I11662577"]}],"countries":["MY"],"is_corresponding":true,"raw_author_name":"JunYi Lim","raw_affiliation_strings":["School of Engineering, Monash University Malaysia, Jalan Lagoon Selatan, Bandar Sunway, 47500 Subang Jaya, Selangor, Malaysia"],"affiliations":[{"raw_affiliation_string":"School of Engineering, Monash University Malaysia, Jalan Lagoon Selatan, Bandar Sunway, 47500 Subang Jaya, Selangor, Malaysia","institution_ids":["https://openalex.org/I11662577"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5090097028","display_name":"Md Jobayer","orcid":"https://orcid.org/0000-0002-9044-1488"},"institutions":[{"id":"https://openalex.org/I11662577","display_name":"Monash University Malaysia","ror":"https://ror.org/00yncr324","country_code":"MY","type":"education","lineage":["https://openalex.org/I11662577"]}],"countries":["MY"],"is_corresponding":false,"raw_author_name":"Md Istiaque Al Jobayer","raw_affiliation_strings":["School of IT, Monash University Malaysia, Jalan Lagoon Selatan, Bandar Sunway, 47500 Subang Jaya, Selangor, Malaysia"],"affiliations":[{"raw_affiliation_string":"School of IT, Monash University Malaysia, Jalan Lagoon Selatan, Bandar Sunway, 47500 Subang Jaya, Selangor, Malaysia","institution_ids":["https://openalex.org/I11662577"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5023680401","display_name":"Vishnu Monn Baskaran","orcid":"https://orcid.org/0000-0001-6809-5817"},"institutions":[{"id":"https://openalex.org/I11662577","display_name":"Monash University Malaysia","ror":"https://ror.org/00yncr324","country_code":"MY","type":"education","lineage":["https://openalex.org/I11662577"]}],"countries":["MY"],"is_corresponding":false,"raw_author_name":"Vishnu Monn Baskaran","raw_affiliation_strings":["School of IT, Monash University Malaysia, Jalan Lagoon Selatan, Bandar Sunway, 47500 Subang Jaya, Selangor, Malaysia"],"affiliations":[{"raw_affiliation_string":"School of IT, Monash University Malaysia, Jalan Lagoon Selatan, Bandar Sunway, 47500 Subang Jaya, Selangor, Malaysia","institution_ids":["https://openalex.org/I11662577"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5103432527","display_name":"Joanne Mun-Yee Lim","orcid":null},"institutions":[{"id":"https://openalex.org/I11662577","display_name":"Monash University Malaysia","ror":"https://ror.org/00yncr324","country_code":"MY","type":"education","lineage":["https://openalex.org/I11662577"]}],"countries":["MY"],"is_corresponding":false,"raw_author_name":"Joanne MunYee Lim","raw_affiliation_strings":["School of Engineering, Monash University Malaysia, Jalan Lagoon Selatan, Bandar Sunway, 47500 Subang Jaya, Selangor, Malaysia"],"affiliations":[{"raw_affiliation_string":"School of Engineering, Monash University Malaysia, Jalan Lagoon Selatan, Bandar Sunway, 47500 Subang Jaya, Selangor, Malaysia","institution_ids":["https://openalex.org/I11662577"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5069916756","display_name":"KokSheik Wong","orcid":"https://orcid.org/0000-0002-4893-2291"},"institutions":[{"id":"https://openalex.org/I11662577","display_name":"Monash University Malaysia","ror":"https://ror.org/00yncr324","country_code":"MY","type":"education","lineage":["https://openalex.org/I11662577"]}],"countries":["MY"],"is_corresponding":false,"raw_author_name":"KokSheik Wong","raw_affiliation_strings":["School of IT, Monash University Malaysia, Jalan Lagoon Selatan, Bandar Sunway, 47500 Subang Jaya, Selangor, Malaysia"],"affiliations":[{"raw_affiliation_string":"School of IT, Monash University Malaysia, Jalan Lagoon Selatan, Bandar Sunway, 47500 Subang Jaya, Selangor, Malaysia","institution_ids":["https://openalex.org/I11662577"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5076753547","display_name":"John See","orcid":"https://orcid.org/0000-0003-3005-4109"},"institutions":[{"id":"https://openalex.org/I173029219","display_name":"Multimedia University","ror":"https://ror.org/04zrbnc33","country_code":"MY","type":"education","lineage":["https://openalex.org/I173029219"]}],"countries":["MY"],"is_corresponding":false,"raw_author_name":"John See","raw_affiliation_strings":["Faculty of Computing and Informatics, Multimedia University, Persiaran Multimedia, 63100 Cyberjaya, Selangor, Malaysia"],"affiliations":[{"raw_affiliation_string":"Faculty of Computing and Informatics, Multimedia University, Persiaran Multimedia, 63100 Cyberjaya, Selangor, Malaysia","institution_ids":["https://openalex.org/I173029219"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":6,"corresponding_author_ids":["https://openalex.org/A5109517233"],"corresponding_institution_ids":["https://openalex.org/I11662577"],"apc_list":null,"apc_paid":null,"fwci":1.876,"has_fulltext":false,"cited_by_count":31,"citation_normalized_percentile":{"value":0.89739129,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":94,"max":99},"biblio":{"volume":"2019","issue":null,"first_page":"1998","last_page":"2002"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11512","display_name":"Anomaly Detection Techniques and Applications","score":0.9969000220298767,"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":0.9969000220298767,"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/T11780","display_name":"Rabies epidemiology and control","score":0.9925000071525574,"subfield":{"id":"https://openalex.org/subfields/2406","display_name":"Virology"},"field":{"id":"https://openalex.org/fields/24","display_name":"Immunology and Microbiology"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}},{"id":"https://openalex.org/T12357","display_name":"Digital Media Forensic Detection","score":0.9782999753952026,"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/artificial-intelligence","display_name":"Artificial intelligence","score":0.7574468851089478},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7402915358543396},{"id":"https://openalex.org/keywords/pyramid","display_name":"Pyramid (geometry)","score":0.6476128101348877},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.629224956035614},{"id":"https://openalex.org/keywords/object-detection","display_name":"Object detection","score":0.5940285921096802},{"id":"https://openalex.org/keywords/perspective","display_name":"Perspective (graphical)","score":0.583589494228363},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.5079715847969055},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.5060715079307556},{"id":"https://openalex.org/keywords/closed-circuit","display_name":"Closed circuit","score":0.47411802411079407},{"id":"https://openalex.org/keywords/detector","display_name":"Detector","score":0.42739251255989075},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.26136553287506104},{"id":"https://openalex.org/keywords/telecommunications","display_name":"Telecommunications","score":0.10554715991020203},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.07031860947608948}],"concepts":[{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7574468851089478},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7402915358543396},{"id":"https://openalex.org/C142575187","wikidata":"https://www.wikidata.org/wiki/Q3358290","display_name":"Pyramid (geometry)","level":2,"score":0.6476128101348877},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.629224956035614},{"id":"https://openalex.org/C2776151529","wikidata":"https://www.wikidata.org/wiki/Q3045304","display_name":"Object detection","level":3,"score":0.5940285921096802},{"id":"https://openalex.org/C12713177","wikidata":"https://www.wikidata.org/wiki/Q1900281","display_name":"Perspective (graphical)","level":2,"score":0.583589494228363},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.5079715847969055},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.5060715079307556},{"id":"https://openalex.org/C2992841829","wikidata":"https://www.wikidata.org/wiki/Q550329","display_name":"Closed circuit","level":2,"score":0.47411802411079407},{"id":"https://openalex.org/C94915269","wikidata":"https://www.wikidata.org/wiki/Q1834857","display_name":"Detector","level":2,"score":0.42739251255989075},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.26136553287506104},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.10554715991020203},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.07031860947608948},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/apsipaasc47483.2019.9023182","is_oa":false,"landing_page_url":"https://doi.org/10.1109/apsipaasc47483.2019.9023182","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2019 Asia-Pacific Signal and Information Processing Association Annual Summit and Conference (APSIPA ASC)","raw_type":"proceedings-article"},{"id":"mag:3197792760","is_oa":false,"landing_page_url":"https://jglobal.jst.go.jp/en/detail?JGLOBAL_ID=202002275271306447","pdf_url":null,"source":{"id":"https://openalex.org/S4306512817","display_name":"IEEE Conference Proceedings","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":"conference"},"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":null,"raw_source_name":"IEEE Conference Proceedings","raw_type":null}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Peace, Justice and strong institutions","score":0.5099999904632568,"id":"https://metadata.un.org/sdg/16"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":19,"referenced_works":["https://openalex.org/W591614643","https://openalex.org/W1554709877","https://openalex.org/W1642182753","https://openalex.org/W1677182931","https://openalex.org/W1861492603","https://openalex.org/W1987517671","https://openalex.org/W2031489346","https://openalex.org/W2098705770","https://openalex.org/W2148001181","https://openalex.org/W2213892522","https://openalex.org/W2565639579","https://openalex.org/W2590001609","https://openalex.org/W2895950063","https://openalex.org/W2899607431","https://openalex.org/W2919115771","https://openalex.org/W2963786238","https://openalex.org/W2963795951","https://openalex.org/W3106250896","https://openalex.org/W6674997534"],"related_works":["https://openalex.org/W2488583058","https://openalex.org/W2381246760","https://openalex.org/W2070127263","https://openalex.org/W2366906938","https://openalex.org/W2949096641","https://openalex.org/W2970686063","https://openalex.org/W4320729701","https://openalex.org/W4254103348","https://openalex.org/W3210378990","https://openalex.org/W3034745255"],"abstract_inverted_index":{"The":[0,131,182,201],"ongoing":[1],"epidemic":[2],"of":[3,81,103,124,135,143,154,174,231],"gun":[4,85,157,176,218,232],"violence":[5],"worldwide":[6],"has":[7,62],"compelled":[8],"various":[9],"agencies,":[10],"businesses":[11],"and":[12,55,162,165,172],"consumers":[13],"to":[14,23,34,78,116,178,187,244],"deploy":[15],"closed-circuit":[16],"television":[17],"(CCTV)":[18],"surveillance":[19,42,129],"cameras":[20,180],"in":[21,75,121,247],"attempt":[22],"combat":[24],"this":[25,32,95],"epidemic.":[26],"An":[27],"active-based":[28],"CCTV":[29,51,88,111,138,148],"system":[30],"extends":[31],"platform":[33],"autonomously":[35,45],"detect":[36],"potential":[37],"firearms":[38,248],"within":[39,127],"a":[40,47,98,110,128,141,155,175,179,189,194],"video":[41,213],"perspective.":[43,130],"However,":[44],"detecting":[46],"firearm":[48],"across":[49],"varying":[50,160],"camera":[52],"angles,":[53],"depth":[54,173],"illumination":[56],"represents":[57],"an":[58],"arduous":[59],"task":[60],"which":[61,90,106,215],"seen":[63],"limited":[64],"success":[65],"using":[66,109,193,207],"existing":[67,245],"deep":[68],"neural":[69],"networks":[70],"models.":[71],"This":[72,113],"challenge":[73],"is":[74,185,204],"part":[76],"due":[77],"the":[79,119,152,210,224,228],"lack":[80],"available":[82],"contextual":[83],"hand":[84,104,125,156],"information":[86],"from":[87,209],"images,":[89],"remains":[91],"unresolved.":[92],"As":[93],"such,":[94],"paper":[96],"introduces":[97],"novel":[99],"large":[100],"scale":[101],"dataset":[102,114,133,184,214,226],"guns":[105,126],"were":[107],"captured":[108],"camera.":[112],"serves":[115],"substantially":[117],"improve":[118],"state-of-the-art":[120],"representation":[122],"learning":[123],"proposed":[132,183,225],"consist":[134],"250":[136],"recorded":[137],"videos":[139],"with":[140],"total":[142],"5500":[144],"images.":[145],"Each":[146],"annotated":[147],"image":[149],"realistically":[150],"captures":[151],"presence":[153],"under":[158],"1)":[159],"outdoor":[161],"indoor":[163],"conditions,":[164],"2)":[166],"different":[167,235],"resolutions":[168],"representing":[169],"variable":[170],"scales":[171,236],"relative":[177],"sensor.":[181],"used":[186],"train":[188],"single-stage":[190],"object":[191],"detector":[192],"multi-level":[195],"feature":[196],"pyramid":[197],"network":[198,203],"(i.e.":[199],"M2Det).":[200],"trained":[202],"then":[205],"validated":[206],"images":[208],"UCF":[211],"crime":[212],"contains":[216],"real-world":[217],"violence.":[219],"Experimental":[220],"results":[221],"indicate":[222],"that":[223],"increases":[227],"average":[229],"precision":[230],"detection":[233],"at":[234],"by":[237],"as":[238,240],"much":[239],"18%":[241],"when":[242],"compared":[243],"approaches":[246],"detection.":[249]},"counts_by_year":[{"year":2025,"cited_by_count":6},{"year":2024,"cited_by_count":6},{"year":2023,"cited_by_count":6},{"year":2022,"cited_by_count":2},{"year":2021,"cited_by_count":8},{"year":2020,"cited_by_count":3}],"updated_date":"2026-04-04T16:13:02.066488","created_date":"2025-10-10T00:00:00"}
