{"id":"https://openalex.org/W2552294130","doi":"https://doi.org/10.1109/icitcs.2016.7740345","title":"Improving the Classifier Performance in Detecting People Based on Denoising Wavelet Transform","display_name":"Improving the Classifier Performance in Detecting People Based on Denoising Wavelet Transform","publication_year":2016,"publication_date":"2016-09-01","ids":{"openalex":"https://openalex.org/W2552294130","doi":"https://doi.org/10.1109/icitcs.2016.7740345","mag":"2552294130"},"language":"en","primary_location":{"id":"doi:10.1109/icitcs.2016.7740345","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icitcs.2016.7740345","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2016 6th International Conference on IT Convergence and Security (ICITCS)","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/A5088039090","display_name":"Lina Chato","orcid":"https://orcid.org/0000-0002-5635-9472"},"institutions":[{"id":"https://openalex.org/I133999245","display_name":"University of Nevada, Las Vegas","ror":"https://ror.org/0406gha72","country_code":"US","type":"education","lineage":["https://openalex.org/I133999245"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Lina Chato","raw_affiliation_strings":["Dept. Electrical and Computer Engineering/UNLV, Las Vegas, Nevada, USA"],"affiliations":[{"raw_affiliation_string":"Dept. Electrical and Computer Engineering/UNLV, Las Vegas, Nevada, USA","institution_ids":["https://openalex.org/I133999245"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5112598261","display_name":"Shahram Latifi","orcid":"https://orcid.org/0000-0001-6868-5008"},"institutions":[{"id":"https://openalex.org/I133999245","display_name":"University of Nevada, Las Vegas","ror":"https://ror.org/0406gha72","country_code":"US","type":"education","lineage":["https://openalex.org/I133999245"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Shahram Latifi","raw_affiliation_strings":["Dept. Electrical and Computer Engineering/UNLV, Las Vegas, Nevada, USA"],"affiliations":[{"raw_affiliation_string":"Dept. Electrical and Computer Engineering/UNLV, Las Vegas, Nevada, USA","institution_ids":["https://openalex.org/I133999245"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5088039090"],"corresponding_institution_ids":["https://openalex.org/I133999245"],"apc_list":null,"apc_paid":null,"fwci":0.8569,"has_fulltext":false,"cited_by_count":3,"citation_normalized_percentile":{"value":0.84475871,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":94},"biblio":{"volume":"12","issue":null,"first_page":"1","last_page":"6"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11512","display_name":"Anomaly Detection Techniques and Applications","score":0.9901999831199646,"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":0.9901999831199646,"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/T10331","display_name":"Video Surveillance and Tracking Methods","score":0.9894000291824341,"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/T10057","display_name":"Face and Expression Recognition","score":0.9847999811172485,"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":0.7195820808410645},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6600856781005859},{"id":"https://openalex.org/keywords/wavelet-transform","display_name":"Wavelet transform","score":0.6512348651885986},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.6423709392547607},{"id":"https://openalex.org/keywords/noise-reduction","display_name":"Noise reduction","score":0.5694556832313538},{"id":"https://openalex.org/keywords/classifier","display_name":"Classifier (UML)","score":0.5470666289329529},{"id":"https://openalex.org/keywords/wavelet","display_name":"Wavelet","score":0.4939289689064026},{"id":"https://openalex.org/keywords/image-denoising","display_name":"Image denoising","score":0.4853931665420532}],"concepts":[{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7195820808410645},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6600856781005859},{"id":"https://openalex.org/C196216189","wikidata":"https://www.wikidata.org/wiki/Q2867","display_name":"Wavelet transform","level":3,"score":0.6512348651885986},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.6423709392547607},{"id":"https://openalex.org/C163294075","wikidata":"https://www.wikidata.org/wiki/Q581861","display_name":"Noise reduction","level":2,"score":0.5694556832313538},{"id":"https://openalex.org/C95623464","wikidata":"https://www.wikidata.org/wiki/Q1096149","display_name":"Classifier (UML)","level":2,"score":0.5470666289329529},{"id":"https://openalex.org/C47432892","wikidata":"https://www.wikidata.org/wiki/Q831390","display_name":"Wavelet","level":2,"score":0.4939289689064026},{"id":"https://openalex.org/C2983327147","wikidata":"https://www.wikidata.org/wiki/Q581861","display_name":"Image denoising","level":3,"score":0.4853931665420532}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icitcs.2016.7740345","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icitcs.2016.7740345","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2016 6th International Conference on IT Convergence and Security (ICITCS)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Peace, Justice and strong institutions","id":"https://metadata.un.org/sdg/16","score":0.47999998927116394}],"awards":[],"funders":[{"id":"https://openalex.org/F4320309566","display_name":"University of Nevada, Las Vegas","ror":"https://ror.org/0406gha72"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":22,"referenced_works":["https://openalex.org/W147717608","https://openalex.org/W1481035327","https://openalex.org/W1497835076","https://openalex.org/W1516748092","https://openalex.org/W1604235696","https://openalex.org/W1926583523","https://openalex.org/W1958968158","https://openalex.org/W2039051707","https://openalex.org/W2108078404","https://openalex.org/W2144865785","https://openalex.org/W2146842127","https://openalex.org/W2161969291","https://openalex.org/W2168356304","https://openalex.org/W2183638504","https://openalex.org/W2189121136","https://openalex.org/W2318893017","https://openalex.org/W3015010406","https://openalex.org/W4285719527","https://openalex.org/W6681397841","https://openalex.org/W6685945647","https://openalex.org/W7008057123","https://openalex.org/W7067650738"],"related_works":["https://openalex.org/W2077021924","https://openalex.org/W2895947835","https://openalex.org/W2087258800","https://openalex.org/W2810018092","https://openalex.org/W2387428419","https://openalex.org/W2098237619","https://openalex.org/W1974034585","https://openalex.org/W2386722878","https://openalex.org/W2353444452","https://openalex.org/W2001438600"],"abstract_inverted_index":{"This":[0],"paper":[1],"presents":[2],"the":[3,6,9,12,53,64,105,133,136,156,162,168,172,179],"effects":[4],"of":[5,11,99,135,165,171],"noise":[7,100,166],"on":[8],"performance":[10,25,134],"classifier":[13,54,65,137],"in":[14,40,43,82,88,138],"detecting":[15,41],"people":[16],"using":[17,27,55,146],"Infrared":[18],"(IR)":[19],"camera,":[20],"and":[21,78,110,123,148],"then":[22],"improve":[23,155],"its":[24],"by":[26,159,178],"denoising":[28,83,95,145],"wavelet":[29,74,150],"transformer":[30],"techniques.":[31],"The":[32,46,141],"local":[33],"binary":[34],"pattern":[35],"(LBP)":[36],"detector":[37],"is":[38],"used":[39,81,130,177],"person":[42],"IR":[44],"images.":[45],"LBP":[47,180],"features":[48,170],"are":[49,80,102,129,176],"extracted":[50],"to":[51,91,104,131],"train":[52],"a":[56,70],"support":[57],"vector":[58],"machine":[59],"(SVM).":[60],"Experimentally,":[61],"we":[62],"find":[63,92],"performs":[66],"very":[67],"poorly":[68],"with":[69,85,152],"noisy":[71],"image.":[72],"Three":[73,97],"functions":[75],"(Harr,":[76],"db2,":[77],"db4)":[79],"process":[84],"different":[86],"levels":[87],"an":[89,93],"effort":[90],"efficient":[94],"method.":[96],"type":[98],"models":[101],"added":[103],"original":[106,173],"test":[107],"data":[108],"set":[109],"three":[111,163],"metrics":[112],"namely-":[113],"True":[114],"positive":[115],"Rate":[116],"(TPR),":[117],"False":[118,124],"Negative":[119],"per":[120],"Frame":[121,127],"(FNPF)":[122],"Positive":[125],"Per":[126],"(FPPF)":[128],"evaluate":[132],"detection":[139],"process.":[140],"results":[142,158],"show":[143],"that":[144],"db2":[147],"db4":[149],"transforms":[151],"level":[153],"4":[154],"classification":[157],"removing":[160],"successfully":[161],"types":[164],"preserving":[167],"texture":[169],"image":[174],"which":[175],"detector.":[181]},"counts_by_year":[{"year":2023,"cited_by_count":1},{"year":2018,"cited_by_count":1},{"year":2017,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
