{"id":"https://openalex.org/W2896409332","doi":"https://doi.org/10.1109/ijcnn.2018.8489367","title":"Person Head Detection in Multiple Scales Using Deep Convolutional Neural Networks","display_name":"Person Head Detection in Multiple Scales Using Deep Convolutional Neural Networks","publication_year":2018,"publication_date":"2018-07-01","ids":{"openalex":"https://openalex.org/W2896409332","doi":"https://doi.org/10.1109/ijcnn.2018.8489367","mag":"2896409332"},"language":"en","primary_location":{"id":"doi:10.1109/ijcnn.2018.8489367","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ijcnn.2018.8489367","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2018 International Joint Conference on Neural Networks (IJCNN)","raw_type":"proceedings-article"},"type":"conference-paper","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://opus.lib.uts.edu.au/bitstream/10453/133225/4/432F23F9-D23B-4061-BA80-E1CC8349D738.pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5102912673","display_name":"Muhammad Saqib","orcid":"https://orcid.org/0000-0003-4374-0888"},"institutions":[{"id":"https://openalex.org/I114017466","display_name":"University of Technology Sydney","ror":"https://ror.org/03f0f6041","country_code":"AU","type":"education","lineage":["https://openalex.org/I114017466"]}],"countries":["AU"],"is_corresponding":false,"raw_author_name":"Muhammad Saqib","raw_affiliation_strings":["Centre for Artificial Intelligence, School of Software, FEIT, University of Technology Sydney, Australia"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Centre for Artificial Intelligence, School of Software, FEIT, University of Technology Sydney, Australia","institution_ids":["https://openalex.org/I114017466"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5084254025","display_name":"Sultan Daud Khan","orcid":"https://orcid.org/0000-0002-7406-8441"},"institutions":[{"id":"https://openalex.org/I4210088963","display_name":"University of Ha'il","ror":"https://ror.org/013w98a82","country_code":"SA","type":"education","lineage":["https://openalex.org/I4210088963"]}],"countries":["SA"],"is_corresponding":false,"raw_author_name":"Sultan Daud Khan","raw_affiliation_strings":["University of Hail, Saudi Arabia"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Hail, Saudi Arabia","institution_ids":["https://openalex.org/I4210088963"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5008754736","display_name":"Nabin Sharma","orcid":"https://orcid.org/0000-0003-0841-1245"},"institutions":[{"id":"https://openalex.org/I114017466","display_name":"University of Technology Sydney","ror":"https://ror.org/03f0f6041","country_code":"AU","type":"education","lineage":["https://openalex.org/I114017466"]}],"countries":["AU"],"is_corresponding":false,"raw_author_name":"Nabin Sharma","raw_affiliation_strings":["Centre for Artificial Intelligence, School of Software, FEIT, University of Technology Sydney, Australia"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Centre for Artificial Intelligence, School of Software, FEIT, University of Technology Sydney, Australia","institution_ids":["https://openalex.org/I114017466"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5045600512","display_name":"Michael Blumenstein","orcid":"https://orcid.org/0000-0002-9908-3744"},"institutions":[{"id":"https://openalex.org/I114017466","display_name":"University of Technology Sydney","ror":"https://ror.org/03f0f6041","country_code":"AU","type":"education","lineage":["https://openalex.org/I114017466"]}],"countries":["AU"],"is_corresponding":false,"raw_author_name":"Michael Blumenstein","raw_affiliation_strings":["Centre for Artificial Intelligence, School of Software, FEIT, University of Technology Sydney, Australia"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Centre for Artificial Intelligence, School of Software, FEIT, University of Technology Sydney, Australia","institution_ids":["https://openalex.org/I114017466"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":true,"cited_by_count":28,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"7"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10036","display_name":"Advanced Neural Network Applications","score":0.9995999932289124,"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/T10036","display_name":"Advanced Neural Network Applications","score":0.9995999932289124,"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/T10331","display_name":"Video Surveillance and Tracking Methods","score":0.9986000061035156,"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/T11448","display_name":"Face recognition and analysis","score":0.9955999851226807,"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/convolutional-neural-network","display_name":"Convolutional neural network","score":0.8896561861038208},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.8421298265457153},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.8240654468536377},{"id":"https://openalex.org/keywords/object-detection","display_name":"Object detection","score":0.7332414388656616},{"id":"https://openalex.org/keywords/transfer-of-learning","display_name":"Transfer of learning","score":0.6901601552963257},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.6489588022232056},{"id":"https://openalex.org/keywords/detector","display_name":"Detector","score":0.6068193316459656},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.5585642457008362},{"id":"https://openalex.org/keywords/object","display_name":"Object (grammar)","score":0.5515496730804443},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.5030366778373718},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.45608067512512207},{"id":"https://openalex.org/keywords/task","display_name":"Task (project management)","score":0.45327723026275635},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.4267909526824951},{"id":"https://openalex.org/keywords/process","display_name":"Process (computing)","score":0.41613495349884033}],"concepts":[{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.8896561861038208},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8421298265457153},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.8240654468536377},{"id":"https://openalex.org/C2776151529","wikidata":"https://www.wikidata.org/wiki/Q3045304","display_name":"Object detection","level":3,"score":0.7332414388656616},{"id":"https://openalex.org/C150899416","wikidata":"https://www.wikidata.org/wiki/Q1820378","display_name":"Transfer of learning","level":2,"score":0.6901601552963257},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.6489588022232056},{"id":"https://openalex.org/C94915269","wikidata":"https://www.wikidata.org/wiki/Q1834857","display_name":"Detector","level":2,"score":0.6068193316459656},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5585642457008362},{"id":"https://openalex.org/C2781238097","wikidata":"https://www.wikidata.org/wiki/Q175026","display_name":"Object (grammar)","level":2,"score":0.5515496730804443},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.5030366778373718},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.45608067512512207},{"id":"https://openalex.org/C2780451532","wikidata":"https://www.wikidata.org/wiki/Q759676","display_name":"Task (project management)","level":2,"score":0.45327723026275635},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.4267909526824951},{"id":"https://openalex.org/C98045186","wikidata":"https://www.wikidata.org/wiki/Q205663","display_name":"Process (computing)","level":2,"score":0.41613495349884033},{"id":"https://openalex.org/C187736073","wikidata":"https://www.wikidata.org/wiki/Q2920921","display_name":"Management","level":1,"score":0.0},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.0},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/ijcnn.2018.8489367","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ijcnn.2018.8489367","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2018 International Joint Conference on Neural Networks (IJCNN)","raw_type":"proceedings-article"},{"id":"pmh:oai:opus.lib.uts.edu.au:10453/133225","is_oa":true,"landing_page_url":"http://hdl.handle.net/10453/133225","pdf_url":"https://opus.lib.uts.edu.au/bitstream/10453/133225/4/432F23F9-D23B-4061-BA80-E1CC8349D738.pdf","source":{"id":"https://openalex.org/S4306401357","display_name":"UTS ePRESS (University of Technology Sydney)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I114017466","host_organization_name":"University of Technology Sydney","host_organization_lineage":["https://openalex.org/I114017466"],"host_organization_lineage_names":[],"type":"repository"},"license":"other-oa","license_id":"https://openalex.org/licenses/other-oa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"Conference Proceeding"}],"best_oa_location":{"id":"pmh:oai:opus.lib.uts.edu.au:10453/133225","is_oa":true,"landing_page_url":"http://hdl.handle.net/10453/133225","pdf_url":"https://opus.lib.uts.edu.au/bitstream/10453/133225/4/432F23F9-D23B-4061-BA80-E1CC8349D738.pdf","source":{"id":"https://openalex.org/S4306401357","display_name":"UTS ePRESS (University of Technology Sydney)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I114017466","host_organization_name":"University of Technology Sydney","host_organization_lineage":["https://openalex.org/I114017466"],"host_organization_lineage_names":[],"type":"repository"},"license":"other-oa","license_id":"https://openalex.org/licenses/other-oa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"Conference Proceeding"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W2896409332.pdf","grobid_xml":"https://content.openalex.org/works/W2896409332.grobid-xml"},"referenced_works_count":37,"referenced_works":["https://openalex.org/W7746136","https://openalex.org/W639708223","https://openalex.org/W1536680647","https://openalex.org/W1686810756","https://openalex.org/W1849007038","https://openalex.org/W1849277567","https://openalex.org/W1903029394","https://openalex.org/W2037227137","https://openalex.org/W2088049833","https://openalex.org/W2097117768","https://openalex.org/W2102605133","https://openalex.org/W2108598243","https://openalex.org/W2110813924","https://openalex.org/W2117539524","https://openalex.org/W2120419212","https://openalex.org/W2124386111","https://openalex.org/W2155893237","https://openalex.org/W2161969291","https://openalex.org/W2163605009","https://openalex.org/W2163808566","https://openalex.org/W2173179171","https://openalex.org/W2186094539","https://openalex.org/W2194775991","https://openalex.org/W2570343428","https://openalex.org/W2613718673","https://openalex.org/W2963173190","https://openalex.org/W3106250896","https://openalex.org/W6620707391","https://openalex.org/W6637373629","https://openalex.org/W6638943231","https://openalex.org/W6639204139","https://openalex.org/W6648737282","https://openalex.org/W6676551047","https://openalex.org/W6684191040","https://openalex.org/W6686583229","https://openalex.org/W6731892127","https://openalex.org/W6785652829"],"related_works":["https://openalex.org/W4226493464","https://openalex.org/W4312417841","https://openalex.org/W3133861977","https://openalex.org/W3183901164","https://openalex.org/W4206357785","https://openalex.org/W4281381188","https://openalex.org/W2951211570","https://openalex.org/W3192840557","https://openalex.org/W3176438653","https://openalex.org/W3103566983"],"abstract_inverted_index":{"Person":[0],"detection":[1,14],"is":[2,18,37],"an":[3],"important":[4],"problem":[5],"in":[6,26,42,88],"computer":[7],"vision":[8],"with":[9,148],"many":[10],"real-world":[11],"applications.":[12],"The":[13,32],"of":[15,34,51,115,133],"a":[16,20,47,112],"person":[17],"still":[19],"challenging":[21],"task":[22],"due":[23],"to":[24,38],"variations":[25],"pose,":[27],"occlusions":[28],"and":[29,144,156],"lighting":[30],"conditions.":[31],"purpose":[33],"this":[35,55],"study":[36],"detect":[39,86],"human":[40],"heads":[41],"natural":[43],"scenes":[44],"acquired":[45],"from":[46],"publicly":[48],"available":[49],"dataset":[50],"Hollywood":[52],"movies.":[53],"In":[54],"work,":[56],"we":[57],"have":[58,101],"used":[59,102,130],"state-of-the-art":[60],"object":[61,70,83],"detectors":[62,71,84],"based":[63],"on":[64,111],"deep":[65],"convolutional":[66,74],"neural":[67,75],"networks.":[68],"These":[69],"include":[72],"region-based":[73],"networks":[76],"using":[77],"region":[78],"proposals":[79],"for":[80,98,105,131],"detections.":[81,99],"Also,":[82],"that":[85,140],"objects":[87],"the":[89,94,107,118,121,134],"single-shot":[90],"by":[91],"looking":[92],"at":[93],"image":[95],"only":[96],"once":[97],"We":[100],"transfer":[103],"learning":[104],"fine-tuning":[106,119],"network":[108],"already":[109],"trained":[110],"massive":[113],"amount":[114],"data.":[116],"During":[117],"process,":[120],"models":[122],"having":[123],"high":[124],"mean":[125],"Average":[126],"Precision":[127],"(mAP)":[128],"are":[129],"evaluation":[132],"test":[135],"dataset.":[136],"Experimental":[137],"results":[138],"show":[139],"Faster":[141],"R-CNN":[142],"[18]":[143],"SSD":[145],"MultiBox":[146],"[13]":[147],"VGG16":[149],"[21]":[150],"perform":[151],"better":[152],"than":[153],"YOLO":[154],"[17]":[155],"also":[157],"demonstrate":[158],"significant":[159],"improvements":[160],"against":[161],"several":[162],"baseline":[163],"approaches.":[164]},"counts_by_year":[{"year":2026,"cited_by_count":4},{"year":2025,"cited_by_count":1},{"year":2023,"cited_by_count":2},{"year":2022,"cited_by_count":3},{"year":2021,"cited_by_count":4},{"year":2020,"cited_by_count":3},{"year":2019,"cited_by_count":10},{"year":2018,"cited_by_count":1}],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}
