{"id":"https://openalex.org/W2800914527","doi":"https://doi.org/10.1145/3191442.3191450","title":"Algorithm for Fire Detection using a Camera Surveillance System","display_name":"Algorithm for Fire Detection using a Camera Surveillance System","publication_year":2018,"publication_date":"2018-02-24","ids":{"openalex":"https://openalex.org/W2800914527","doi":"https://doi.org/10.1145/3191442.3191450","mag":"2800914527"},"language":"en","primary_location":{"id":"doi:10.1145/3191442.3191450","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3191442.3191450","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2018 International Conference on Image and Graphics Processing","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/A5112414224","display_name":"Nguyen Manh Dung","orcid":null},"institutions":[{"id":"https://openalex.org/I206597221","display_name":"Kongju National University","ror":"https://ror.org/0373nm262","country_code":"KR","type":"education","lineage":["https://openalex.org/I206597221"]}],"countries":["KR"],"is_corresponding":true,"raw_author_name":"Nguyen Manh Dung","raw_affiliation_strings":["Kongju National University, Cheonandaero, Subuk-gu, Cheonan Chungnam, Rep. of KOREA"],"affiliations":[{"raw_affiliation_string":"Kongju National University, Cheonandaero, Subuk-gu, Cheonan Chungnam, Rep. of KOREA","institution_ids":["https://openalex.org/I206597221"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5032782874","display_name":"Soonghwan Ro","orcid":"https://orcid.org/0000-0001-6091-796X"},"institutions":[{"id":"https://openalex.org/I206597221","display_name":"Kongju National University","ror":"https://ror.org/0373nm262","country_code":"KR","type":"education","lineage":["https://openalex.org/I206597221"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Soonghwan Ro","raw_affiliation_strings":["Kongju National University, Cheonandaero, Subuk-gu, Cheonan Chungnam, Rep. of KOREA"],"affiliations":[{"raw_affiliation_string":"Kongju National University, Cheonandaero, Subuk-gu, Cheonan Chungnam, Rep. of KOREA","institution_ids":["https://openalex.org/I206597221"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5112414224"],"corresponding_institution_ids":["https://openalex.org/I206597221"],"apc_list":null,"apc_paid":null,"fwci":2.5688,"has_fulltext":false,"cited_by_count":20,"citation_normalized_percentile":{"value":0.87979218,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":98},"biblio":{"volume":null,"issue":null,"first_page":"38","last_page":"42"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12597","display_name":"Fire Detection and Safety Systems","score":0.9997000098228455,"subfield":{"id":"https://openalex.org/subfields/2213","display_name":"Safety, Risk, Reliability and Quality"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T12597","display_name":"Fire Detection and Safety Systems","score":0.9997000098228455,"subfield":{"id":"https://openalex.org/subfields/2213","display_name":"Safety, Risk, Reliability and Quality"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10331","display_name":"Video Surveillance and Tracking Methods","score":0.9728000164031982,"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/T12222","display_name":"IoT-based Smart Home Systems","score":0.9588000178337097,"subfield":{"id":"https://openalex.org/subfields/2208","display_name":"Electrical and Electronic 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/fire-detection","display_name":"Fire detection","score":0.8158898949623108},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.7226622104644775},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6808674335479736},{"id":"https://openalex.org/keywords/pixel","display_name":"Pixel","score":0.571124792098999},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.566816508769989},{"id":"https://openalex.org/keywords/classifier","display_name":"Classifier (UML)","score":0.5228284001350403},{"id":"https://openalex.org/keywords/flicker","display_name":"Flicker","score":0.46793267130851746},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.45781296491622925},{"id":"https://openalex.org/keywords/cascade","display_name":"Cascade","score":0.4419855773448944},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.13645055890083313},{"id":"https://openalex.org/keywords/computer-graphics","display_name":"Computer graphics (images)","score":0.12222874164581299}],"concepts":[{"id":"https://openalex.org/C2780836893","wikidata":"https://www.wikidata.org/wiki/Q19922674","display_name":"Fire detection","level":2,"score":0.8158898949623108},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7226622104644775},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6808674335479736},{"id":"https://openalex.org/C160633673","wikidata":"https://www.wikidata.org/wiki/Q355198","display_name":"Pixel","level":2,"score":0.571124792098999},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.566816508769989},{"id":"https://openalex.org/C95623464","wikidata":"https://www.wikidata.org/wiki/Q1096149","display_name":"Classifier (UML)","level":2,"score":0.5228284001350403},{"id":"https://openalex.org/C19743564","wikidata":"https://www.wikidata.org/wiki/Q25378119","display_name":"Flicker","level":2,"score":0.46793267130851746},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.45781296491622925},{"id":"https://openalex.org/C34146451","wikidata":"https://www.wikidata.org/wiki/Q5048094","display_name":"Cascade","level":2,"score":0.4419855773448944},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.13645055890083313},{"id":"https://openalex.org/C121684516","wikidata":"https://www.wikidata.org/wiki/Q7600677","display_name":"Computer graphics (images)","level":1,"score":0.12222874164581299},{"id":"https://openalex.org/C42360764","wikidata":"https://www.wikidata.org/wiki/Q83588","display_name":"Chemical engineering","level":1,"score":0.0},{"id":"https://openalex.org/C170154142","wikidata":"https://www.wikidata.org/wiki/Q150737","display_name":"Architectural engineering","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3191442.3191450","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3191442.3191450","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2018 International Conference on Image and Graphics Processing","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/7","score":0.550000011920929,"display_name":"Affordable and clean energy"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":11,"referenced_works":["https://openalex.org/W77056618","https://openalex.org/W2148596671","https://openalex.org/W2157552598","https://openalex.org/W2163605009","https://openalex.org/W2171201674","https://openalex.org/W2274168053","https://openalex.org/W2404400986","https://openalex.org/W2618530766","https://openalex.org/W3148273129","https://openalex.org/W4238831928","https://openalex.org/W4241307704"],"related_works":["https://openalex.org/W2153719181","https://openalex.org/W1971748923","https://openalex.org/W2060986072","https://openalex.org/W1566155057","https://openalex.org/W2461212857","https://openalex.org/W2393542839","https://openalex.org/W2608689891","https://openalex.org/W1968167504","https://openalex.org/W2052574922","https://openalex.org/W2594237268"],"abstract_inverted_index":{"In":[0],"this":[1],"paper,":[2],"we":[3],"propose":[4],"a":[5,13,42,48],"real-time":[6,81],"fire":[7,20,44,66,82],"detection":[8,83],"algorithm":[9,76],"for":[10,80],"use":[11],"with":[12,84],"surveillance":[14],"camera":[15],"system.":[16],"Candidate":[17],"regions":[18],"of":[19,27,34,63],"flames":[21],"are":[22],"recognized":[23],"by":[24],"temporal":[25],"analysis":[26],"the":[28,74],"flickering":[29],"energy":[30],"and":[31,59,67],"color":[32],"models":[33],"image":[35],"pixels":[36],"in":[37],"frames.":[38],"We":[39],"also":[40],"develop":[41],"robust":[43,58],"flame":[45],"classifier":[46,61],"using":[47],"cascade":[49],"model":[50],"that":[51,73],"joins":[52],"many":[53],"weak":[54],"classifiers":[55],"into":[56],"one":[57],"precise":[60],"capable":[62],"distinguishing":[64],"true":[65],"non-fire":[68],"regions.":[69],"Experimental":[70],"results":[71],"show":[72],"proposed":[75],"is":[77],"absolutely":[78],"suited":[79],"high":[85],"precision.":[86]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":2},{"year":2023,"cited_by_count":2},{"year":2022,"cited_by_count":5},{"year":2021,"cited_by_count":6},{"year":2020,"cited_by_count":1},{"year":2019,"cited_by_count":3}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
