{"id":"https://openalex.org/W1990974190","doi":"https://doi.org/10.4304/jcp.9.2.295-300","title":"Discrete Cosine Coefficients as Images features for Fire Detection based on Computer Vision","display_name":"Discrete Cosine Coefficients as Images features for Fire Detection based on Computer Vision","publication_year":2014,"publication_date":"2014-02-01","ids":{"openalex":"https://openalex.org/W1990974190","doi":"https://doi.org/10.4304/jcp.9.2.295-300","mag":"1990974190"},"language":"en","primary_location":{"id":"doi:10.4304/jcp.9.2.295-300","is_oa":false,"landing_page_url":"https://doi.org/10.4304/jcp.9.2.295-300","pdf_url":null,"source":{"id":"https://openalex.org/S77894049","display_name":"Journal of Computers","issn_l":"1796-203X","issn":["1796-203X"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310318660","host_organization_name":"Academy Publisher","host_organization_lineage":["https://openalex.org/P4310318660"],"host_organization_lineage_names":["Academy Publisher"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Journal of Computers","raw_type":"journal-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/A5020081162","display_name":"Jean Paul Dukuzumuremyi","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Jean Paul Dukuzumuremyi","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5062015169","display_name":"Beiji Zou","orcid":"https://orcid.org/0000-0002-3542-1097"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Beiji Zou","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5015206048","display_name":"Carine Pierrette Mukamakuza","orcid":"https://orcid.org/0000-0003-0163-6660"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Carine Pierrette Mukamakuza","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5028442279","display_name":"Damien Hanyurwimfura","orcid":"https://orcid.org/0000-0002-6290-1256"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Damien Hanyurwimfura","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5031841316","display_name":"Emmanuel Masabo","orcid":"https://orcid.org/0000-0002-0894-4909"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Emmanuel Masabo","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":5,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":2.2316,"has_fulltext":false,"cited_by_count":3,"citation_normalized_percentile":{"value":0.87807481,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":94},"biblio":{"volume":"9","issue":"2","first_page":null,"last_page":null},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12597","display_name":"Fire Detection and Safety Systems","score":1.0,"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":1.0,"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":0.9970999956130981,"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":0.9851999878883362,"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/artificial-intelligence","display_name":"Artificial intelligence","score":0.6930464506149292},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.6883953809738159},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6832028031349182},{"id":"https://openalex.org/keywords/discrete-cosine-transform","display_name":"Discrete cosine transform","score":0.6831796765327454},{"id":"https://openalex.org/keywords/computer-graphics","display_name":"Computer graphics (images)","score":0.4128255546092987},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.39293497800827026},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.17829307913780212}],"concepts":[{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6930464506149292},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.6883953809738159},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6832028031349182},{"id":"https://openalex.org/C2221639","wikidata":"https://www.wikidata.org/wiki/Q2877","display_name":"Discrete cosine transform","level":3,"score":0.6831796765327454},{"id":"https://openalex.org/C121684516","wikidata":"https://www.wikidata.org/wiki/Q7600677","display_name":"Computer graphics (images)","level":1,"score":0.4128255546092987},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.39293497800827026},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.17829307913780212}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.4304/jcp.9.2.295-300","is_oa":false,"landing_page_url":"https://doi.org/10.4304/jcp.9.2.295-300","pdf_url":null,"source":{"id":"https://openalex.org/S77894049","display_name":"Journal of Computers","issn_l":"1796-203X","issn":["1796-203X"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310318660","host_organization_name":"Academy Publisher","host_organization_lineage":["https://openalex.org/P4310318660"],"host_organization_lineage_names":["Academy Publisher"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Journal of Computers","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Sustainable cities and communities","id":"https://metadata.un.org/sdg/11","score":0.44999998807907104}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":18,"referenced_works":["https://openalex.org/W1504827991","https://openalex.org/W1713576610","https://openalex.org/W1972058229","https://openalex.org/W1975645487","https://openalex.org/W2027221789","https://openalex.org/W2040343094","https://openalex.org/W2073371483","https://openalex.org/W2082091929","https://openalex.org/W2140161129","https://openalex.org/W2140718919","https://openalex.org/W2142468705","https://openalex.org/W2163534628","https://openalex.org/W4205464001","https://openalex.org/W6630238673","https://openalex.org/W6637405402","https://openalex.org/W6644023934","https://openalex.org/W6680674499","https://openalex.org/W6740111682"],"related_works":["https://openalex.org/W2755342338","https://openalex.org/W2036807459","https://openalex.org/W2775347418","https://openalex.org/W1969923398","https://openalex.org/W2772917594","https://openalex.org/W2166024367","https://openalex.org/W3116076068","https://openalex.org/W2229312674","https://openalex.org/W2058170566","https://openalex.org/W2951359407"],"abstract_inverted_index":{"Fire":[0,67],"hazards":[1],"occurring":[2],"recently":[3],"in":[4,17,43,57,89,99,106,148],"the":[5,9,35,47,80,85,103],"world":[6],"lead":[7],"to":[8,19,27,33,83,101,125,133,143,163],"need":[10],"of":[11,38,87,159],"designing":[12],"accurate":[13],"fire":[14,39,88],"detection":[15,60],"systems":[16],"order":[18,100],"save":[20],"human":[21],"lives.":[22],"The":[23,110],"newest":[24],"innovations":[25],"continue":[26],"use":[28],"cameras":[29],"and":[30,40,115,139,155],"computer":[31],"algorithms":[32],"analyze":[34],"visible":[36],"effects":[37],"its":[41,55,165],"motion":[42],"their":[44,116],"applications":[45],"like":[46],"adaboost":[48,81],"classifier":[49,82],"which":[50],"is":[51],"well":[52],"known":[53],"for":[54,123,137],"strength":[56],"rigid":[58],"objects":[59],"from":[61],"images.":[62],"This":[63],"paper":[64],"presents":[65],"a":[66,94,134,144,156],"Detection":[68],"System":[69],"(FDS)":[70],"with":[71,79,150],"an":[72,90,107],"algorithm":[73],"that":[74,129],"works":[75],"side":[76,78],"by":[77,93],"determine":[84],"presence":[86],"image":[91],"taken":[92],"normal":[95],"web":[96],"camera":[97],"(webcam),":[98],"decrease":[102],"false":[104],"alarms":[105],"indoor":[108],"scene.":[109],"images":[111],"are":[112,121,141],"first":[113],"preprocessed":[114],"selected":[117],"discrete":[118],"cosine":[119],"coefficients":[120,128],"kept":[122],"analysis":[124],"get":[126],"better":[127],"will":[130],"be":[131],"fed":[132],"neural":[135],"network":[136],"classification":[138],"results":[140],"compared":[142],"statistical":[145],"approach":[146],"used":[147],"combination":[149],"binary":[151],"background":[152],"mask":[153],"(BBM)":[154],"wavelet-based":[157],"model":[158],"fire\u2019s":[160],"frequency":[161],"signature(WMF)":[162],"test":[164],"accuracy":[166]},"counts_by_year":[{"year":2016,"cited_by_count":1},{"year":2015,"cited_by_count":1},{"year":2014,"cited_by_count":1}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}