{"id":"https://openalex.org/W4413360641","doi":"https://doi.org/10.1109/mcte62870.2024.11117655","title":"Human Head Detection Based on Coefficient of Roundness and Ratio of Continuous Curvature","display_name":"Human Head Detection Based on Coefficient of Roundness and Ratio of Continuous Curvature","publication_year":2024,"publication_date":"2024-08-23","ids":{"openalex":"https://openalex.org/W4413360641","doi":"https://doi.org/10.1109/mcte62870.2024.11117655"},"language":"en","primary_location":{"id":"doi:10.1109/mcte62870.2024.11117655","doi":"https://doi.org/10.1109/mcte62870.2024.11117655","is_oa":false,"landing_page_url":"https://doi.org/10.1109/mcte62870.2024.11117655","pdf_url":null,"source":{"id":"https://openalex.org/S4363607940","display_name":"International Conference on Mechatronics and Computer Technology Engineering (MCTE)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 7th International Conference on Mechatronics and Computer Technology Engineering (MCTE)","raw_type":"proceedings-article"},"volume":null,"type":"conference-paper","is_traditional":true,"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/A5108335499","display_name":"Yanwu Hong","orcid":"https://orcid.org/0000-0001-8714-5832","observed_orcids":["https://orcid.org/0000-0001-8714-5832"]},"institutions":[{"id":"https://openalex.org/I4210164614","display_name":"Jiangmen Polytechnic","ror":"https://ror.org/05v7z3142","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210164614"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yanwu Hong","raw_affiliation_strings":["Jiangmen Polytechnic,Jiangmen city,China,52900"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Jiangmen Polytechnic,Jiangmen city,China,52900","institution_ids":["https://openalex.org/I4210164614"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5017012410","display_name":"Anton Louise P. De Ocampo","orcid":"https://orcid.org/0000-0002-6280-6259","observed_orcids":["https://orcid.org/0000-0002-6280-6259"]},"institutions":[{"id":"https://openalex.org/I4210164614","display_name":"Jiangmen Polytechnic","ror":"https://ror.org/05v7z3142","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210164614"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Anton Louise de Ocampo","raw_affiliation_strings":["Jiangmen Polytechnic,Jiangmen city,China,52900"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Jiangmen Polytechnic,Jiangmen city,China,52900","institution_ids":["https://openalex.org/I4210164614"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I4210164614"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.0,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"476","last_page":"481"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11448","display_name":"Face recognition and analysis","score":0.7896000146865845,"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/T11448","display_name":"Face recognition and analysis","score":0.7896000146865845,"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":0.13500000536441803,"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/T10036","display_name":"Advanced Neural Network Applications","score":0.02370000071823597,"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/human-head-detection","display_name":"human head detection","score":0.9909999966621399},{"id":"https://openalex.org/keywords/real-time-detection","display_name":"real-time detection","score":0.6690000295639038},{"id":"https://openalex.org/keywords/foreground-segmentation","display_name":"foreground segmentation","score":0.5070000290870667},{"id":"https://openalex.org/keywords/morphological-opening","display_name":"morphological opening","score":0.8019999861717224},{"id":"https://openalex.org/keywords/xor-operation","display_name":"XOR operation","score":0.5109999775886536}],"concepts":[{"id":"https://openalex.org/C14190554","wikidata":"https://www.wikidata.org/wiki/Q2496761","display_name":"Roundness (object)","level":2,"score":0.6609598994255066},{"id":"https://openalex.org/C2780312720","wikidata":"https://www.wikidata.org/wiki/Q5689100","display_name":"Head (geology)","level":2,"score":0.5982667803764343},{"id":"https://openalex.org/C195065555","wikidata":"https://www.wikidata.org/wiki/Q214881","display_name":"Curvature","level":2,"score":0.5854830741882324},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.3853466510772705},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.28206735849380493},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.21459656953811646},{"id":"https://openalex.org/C127313418","wikidata":"https://www.wikidata.org/wiki/Q1069","display_name":"Geology","level":0,"score":0.1554475724697113},{"id":"https://openalex.org/C114793014","wikidata":"https://www.wikidata.org/wiki/Q52109","display_name":"Geomorphology","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/mcte62870.2024.11117655","doi":"https://doi.org/10.1109/mcte62870.2024.11117655","is_oa":false,"landing_page_url":"https://doi.org/10.1109/mcte62870.2024.11117655","pdf_url":null,"source":{"id":"https://openalex.org/S4363607940","display_name":"International Conference on Mechatronics and Computer Technology Engineering (MCTE)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 7th International Conference on Mechatronics and Computer Technology Engineering (MCTE)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"study_designs":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":15,"referenced_works":["https://openalex.org/W2042479859","https://openalex.org/W2058194397","https://openalex.org/W2133716383","https://openalex.org/W2161969291","https://openalex.org/W2313104437","https://openalex.org/W2797946163","https://openalex.org/W2959455948","https://openalex.org/W3104304333","https://openalex.org/W3127111060","https://openalex.org/W3154069620","https://openalex.org/W3196749167","https://openalex.org/W4288710326","https://openalex.org/W4324094502","https://openalex.org/W4385626983","https://openalex.org/W4389961518"],"related_works":["https://openalex.org/W2138337943","https://openalex.org/W2377303154","https://openalex.org/W2035239575","https://openalex.org/W2381917044","https://openalex.org/W2356174886","https://openalex.org/W3203958629","https://openalex.org/W3127111060","https://openalex.org/W7095563769","https://openalex.org/W3202091589","https://openalex.org/W2548345868"],"abstract_inverted_index":{"This":[0],"article":[1],"presents":[2],"a":[3,104,171],"new":[4],"approach":[5],"for":[6],"human":[7,105,152,191],"head":[8,153],"detection":[9,15],"that":[10,133,146],"can":[11,46,75,89,136,160,186],"well":[12],"balance":[13],"the":[14,23,36,48,51,56,63,68,72,80,91,100,108,121,124,134,138,147,151,155,164,180,198],"accuracy":[16,122,148],"and":[17,28,42,61,93,113,117,163],"real-time":[18],"performance":[19],"based":[20],"on":[21,170],"calculating":[22],"coefficient":[24],"of":[25,30,50,59,71,82,85,95,102,111,123,149],"roundness":[26],"(COR)":[27],"ratio":[29],"continuous":[31],"curvature":[32],"(ROCC).":[33],"Firstly":[34],"with":[35,154],"Xor":[37],"operation":[38,58],"between":[39],"background":[40],"image":[41,74],"foreground":[43,52,73],"image,":[44],"we":[45,88],"get":[47],"edge":[49],"image.":[53],"Then":[54],"through":[55],"opening":[57],"morphology":[60],"removing":[62],"minimum":[64],"area":[65],"under":[66],"350,":[67],"connected":[69],"regions":[70,140],"be":[76,161,187],"gained.":[77],"According":[78],"to":[79,98,119,168,189,196],"coordinates":[81],"boundary":[83],"points":[84],"each":[86,96],"region,":[87],"calculate":[90,169],"COR":[92,112],"ROCC":[94,114],"region":[97],"determine":[99],"possibility":[101],"being":[103],"head.":[106],"Set":[107],"threshold":[109],"values":[110],"as":[115],"0.4":[116],"9":[118],"test":[120],"method":[125,156,181],"proposed":[126,182],"in":[127,157,183,193],"this":[128,158,184],"paper.":[129],"The":[130,142],"experiment":[131],"shows":[132],"technique":[135],"reduce":[137],"interference":[139],"greatly.":[141],"final":[143],"results":[144],"show":[145],"detecting":[150],"paper":[159,185],"92%":[162],"average":[165],"time":[166,195],"taken":[167],"regular":[172],"laptop":[173],"is":[174],"only":[175],"about":[176],"0.35s.":[177],"In":[178],"conclusion,":[179],"used":[188],"detect":[190],"heads":[192],"real":[194],"estimate":[197],"crowd":[199],"distance.":[200]},"counts_by_year":[],"updated_date":"2026-10-12T09:40:04.860316","created_date":"2025-10-10T00:00:00"}