{"id":"https://openalex.org/W2569947358","doi":"https://doi.org/10.1109/ivcnz.2016.7804424","title":"Human detection model using feature extraction method in video frames","display_name":"Human detection model using feature extraction method in video frames","publication_year":2016,"publication_date":"2016-11-01","ids":{"openalex":"https://openalex.org/W2569947358","doi":"https://doi.org/10.1109/ivcnz.2016.7804424","mag":"2569947358"},"language":"en","primary_location":{"id":"doi:10.1109/ivcnz.2016.7804424","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ivcnz.2016.7804424","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2016 International Conference on Image and Vision Computing New Zealand (IVCNZ)","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/A5061581050","display_name":"Arwa Alzughaibi","orcid":null},"institutions":[{"id":"https://openalex.org/I23075662","display_name":"Taibah University","ror":"https://ror.org/01xv1nn60","country_code":"SA","type":"education","lineage":["https://openalex.org/I23075662"]}],"countries":["SA"],"is_corresponding":true,"raw_author_name":"Arwa Alzughaibi","raw_affiliation_strings":["Faculty of Engineering and Information Technology, Sydney(UTS) Taibah University"],"affiliations":[{"raw_affiliation_string":"Faculty of Engineering and Information Technology, Sydney(UTS) Taibah University","institution_ids":["https://openalex.org/I23075662"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5016675373","display_name":"Zenon Chaczko","orcid":"https://orcid.org/0000-0002-2816-7510"},"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"]},{"id":"https://openalex.org/I1323252656","display_name":"Information Technology University","ror":"https://ror.org/00ngv8j44","country_code":"PK","type":"education","lineage":["https://openalex.org/I1323252656"]}],"countries":["AU","PK"],"is_corresponding":false,"raw_author_name":"Zenon Chaczko","raw_affiliation_strings":["Faculty of Engineering and Information Technology, University of Technology Sydney(UTS)"],"affiliations":[{"raw_affiliation_string":"Faculty of Engineering and Information Technology, University of Technology Sydney(UTS)","institution_ids":["https://openalex.org/I114017466","https://openalex.org/I1323252656"]}]}],"institutions":[],"countries_distinct_count":3,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5061581050"],"corresponding_institution_ids":["https://openalex.org/I23075662"],"apc_list":null,"apc_paid":null,"fwci":0.1689,"has_fulltext":false,"cited_by_count":7,"citation_normalized_percentile":{"value":0.60360657,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":96},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"6"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10331","display_name":"Video Surveillance and Tracking Methods","score":0.9998000264167786,"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/T10331","display_name":"Video Surveillance and Tracking Methods","score":0.9998000264167786,"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/T10812","display_name":"Human Pose and Action Recognition","score":0.9983000159263611,"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/T10627","display_name":"Advanced Image and Video Retrieval Techniques","score":0.9793999791145325,"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/false-positive-paradox","display_name":"False positive paradox","score":0.7752630114555359},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7717803120613098},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.7710331678390503},{"id":"https://openalex.org/keywords/local-binary-patterns","display_name":"Local binary patterns","score":0.6988645792007446},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.6940337419509888},{"id":"https://openalex.org/keywords/support-vector-machine","display_name":"Support vector machine","score":0.6871365308761597},{"id":"https://openalex.org/keywords/histogram","display_name":"Histogram","score":0.6478760838508606},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.6218264102935791},{"id":"https://openalex.org/keywords/histogram-of-oriented-gradients","display_name":"Histogram of oriented gradients","score":0.6072483658790588},{"id":"https://openalex.org/keywords/classifier","display_name":"Classifier (UML)","score":0.5512323975563049},{"id":"https://openalex.org/keywords/detector","display_name":"Detector","score":0.5128362774848938},{"id":"https://openalex.org/keywords/object-detection","display_name":"Object detection","score":0.4571748375892639},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.43877509236335754},{"id":"https://openalex.org/keywords/receiver-operating-characteristic","display_name":"Receiver operating characteristic","score":0.4291480481624603},{"id":"https://openalex.org/keywords/binary-classification","display_name":"Binary classification","score":0.42071348428726196},{"id":"https://openalex.org/keywords/feature-vector","display_name":"Feature vector","score":0.4190114736557007},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.35102686285972595},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.22717857360839844},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.1423390805721283}],"concepts":[{"id":"https://openalex.org/C64869954","wikidata":"https://www.wikidata.org/wiki/Q1859747","display_name":"False positive paradox","level":2,"score":0.7752630114555359},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7717803120613098},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7710331678390503},{"id":"https://openalex.org/C87335442","wikidata":"https://www.wikidata.org/wiki/Q2494345","display_name":"Local binary patterns","level":4,"score":0.6988645792007446},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.6940337419509888},{"id":"https://openalex.org/C12267149","wikidata":"https://www.wikidata.org/wiki/Q282453","display_name":"Support vector machine","level":2,"score":0.6871365308761597},{"id":"https://openalex.org/C53533937","wikidata":"https://www.wikidata.org/wiki/Q185020","display_name":"Histogram","level":3,"score":0.6478760838508606},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.6218264102935791},{"id":"https://openalex.org/C17426736","wikidata":"https://www.wikidata.org/wiki/Q419918","display_name":"Histogram of oriented gradients","level":4,"score":0.6072483658790588},{"id":"https://openalex.org/C95623464","wikidata":"https://www.wikidata.org/wiki/Q1096149","display_name":"Classifier (UML)","level":2,"score":0.5512323975563049},{"id":"https://openalex.org/C94915269","wikidata":"https://www.wikidata.org/wiki/Q1834857","display_name":"Detector","level":2,"score":0.5128362774848938},{"id":"https://openalex.org/C2776151529","wikidata":"https://www.wikidata.org/wiki/Q3045304","display_name":"Object detection","level":3,"score":0.4571748375892639},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.43877509236335754},{"id":"https://openalex.org/C58471807","wikidata":"https://www.wikidata.org/wiki/Q327120","display_name":"Receiver operating characteristic","level":2,"score":0.4291480481624603},{"id":"https://openalex.org/C66905080","wikidata":"https://www.wikidata.org/wiki/Q17005494","display_name":"Binary classification","level":3,"score":0.42071348428726196},{"id":"https://openalex.org/C83665646","wikidata":"https://www.wikidata.org/wiki/Q42139305","display_name":"Feature vector","level":2,"score":0.4190114736557007},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.35102686285972595},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.22717857360839844},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.1423390805721283},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.0},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/ivcnz.2016.7804424","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ivcnz.2016.7804424","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2016 International Conference on Image and Vision Computing New Zealand (IVCNZ)","raw_type":"proceedings-article"},{"id":"pmh:oai:opus.lib.uts.edu.au:10453/98746","is_oa":false,"landing_page_url":"http://hdl.handle.net/10453/98746","pdf_url":null,"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":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"Conference Proceeding"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.5099999904632568,"display_name":"Peace, Justice and strong institutions","id":"https://metadata.un.org/sdg/16"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":35,"referenced_works":["https://openalex.org/W160531897","https://openalex.org/W1536943225","https://openalex.org/W1595717062","https://openalex.org/W1951197113","https://openalex.org/W1975907365","https://openalex.org/W1990472920","https://openalex.org/W2013640163","https://openalex.org/W2030536784","https://openalex.org/W2031454541","https://openalex.org/W2036989445","https://openalex.org/W2098999879","https://openalex.org/W2099355420","https://openalex.org/W2107775979","https://openalex.org/W2115694019","https://openalex.org/W2116770009","https://openalex.org/W2120419212","https://openalex.org/W2125556102","https://openalex.org/W2140597565","https://openalex.org/W2153185908","https://openalex.org/W2153635508","https://openalex.org/W2157982431","https://openalex.org/W2159386181","https://openalex.org/W2161969291","https://openalex.org/W2163352848","https://openalex.org/W2168356304","https://openalex.org/W2170101770","https://openalex.org/W2292423453","https://openalex.org/W3120421331","https://openalex.org/W6632204412","https://openalex.org/W6635755983","https://openalex.org/W6640901054","https://openalex.org/W6677380243","https://openalex.org/W6677545684","https://openalex.org/W6682473505","https://openalex.org/W6684811926"],"related_works":["https://openalex.org/W4224879220","https://openalex.org/W2046724945","https://openalex.org/W3211626993","https://openalex.org/W2999130902","https://openalex.org/W4226316650","https://openalex.org/W2904398182","https://openalex.org/W2507467930","https://openalex.org/W4315797013","https://openalex.org/W2347245106","https://openalex.org/W2066154719"],"abstract_inverted_index":{"This":[0],"paper":[1],"presents":[2],"a":[3,59,70],"robust":[4,94],"machine":[5,73],"learning":[6],"based":[7,62,185],"computational":[8],"solution":[9],"for":[10,19,78,131,147],"human":[11,67,132],"detection.":[12,79],"The":[13,51,107],"proposed":[14,108,162,195],"mechanism":[15],"is":[16,76,126,145,154],"specifically":[17],"applicable":[18],"pose-variant":[20],"situations":[21],"in":[22,91],"video":[23],"frames.":[24],"In":[25],"order":[26],"to":[27,57,156,168,179],"address":[28],"the":[29,113,118,124,158,161,170,183,194],"pose":[30],"variance":[31],"problem,":[32],"features":[33,49,100,103],"are":[34,55,116,121,136,177],"extracted":[35],"using":[36],"an":[37],"improved":[38,98],"variant":[39],"of":[40,42,97,160],"Histograms":[41],"Gradients":[43],"(HoG)":[44],"and":[45,66,88,101,123,181,189],"local":[46],"Binary":[47],"Pattern":[48],"(LBP).":[50],"two":[52],"feature":[53,60],"sets":[54],"combined":[56],"form":[58],"vector":[61,72],"on":[63,186],"different":[64,143],"poses":[65,144],"shapes,":[68],"while":[69],"support":[71],"(SVM)-based":[74],"classifier":[75],"used":[77,146,155],"Common":[80],"issues":[81],"faced":[82],"by":[83],"current":[84,165],"approaches":[85],"include":[86],"false":[87,129],"missed":[89],"detections":[90,130],"frames":[92],"with":[93,104],"feature-sets":[95],"consisting":[96],"HoG":[99],"LBP":[102],"rotation":[105],"information.":[106],"detector":[109],"model":[110,196],"performs":[111],"efficiently;":[112],"miss":[114,187],"rates":[115,188],"reduced,":[117],"true":[119,190],"positives":[120],"increased,":[122],"accuracy":[125],"improved.":[127],"Some":[128],"look":[133],"alike":[134],"objects":[135],"also":[137],"observed.":[138],"A":[139,150],"diverse":[140],"dataset":[141,153],"depicting":[142],"training":[148],"purposes.":[149],"challenge":[151],"test":[152,157],"performance":[159],"approach":[163],"against":[164],"state-of-the-art":[166],"detectors":[167],"verify":[169],"performance.":[171],"Receiver":[172],"operating":[173],"characteristic":[174],"(ROC)":[175],"curves":[176],"plotted":[178],"compare":[180],"evaluate":[182],"results":[184],"positives,":[191],"which":[192],"demonstrate":[193],"achieves":[197],"optimal":[198],"results.":[199]},"counts_by_year":[{"year":2025,"cited_by_count":2},{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":1},{"year":2022,"cited_by_count":2},{"year":2019,"cited_by_count":1}],"updated_date":"2026-04-04T16:13:02.066488","created_date":"2025-10-10T00:00:00"}
