{"id":"https://openalex.org/W4380360744","doi":"https://doi.org/10.34028/iajit/20/4/2","title":"A Comparative Study on Deep Learning and Machine Learning Models for Human Action Recognition in Aerial Videos","display_name":"A Comparative Study on Deep Learning and Machine Learning Models for Human Action Recognition in Aerial Videos","publication_year":2023,"publication_date":"2023-01-01","ids":{"openalex":"https://openalex.org/W4380360744","doi":"https://doi.org/10.34028/iajit/20/4/2"},"language":"en","primary_location":{"id":"doi:10.34028/iajit/20/4/2","is_oa":true,"landing_page_url":"https://doi.org/10.34028/iajit/20/4/2","pdf_url":"https://doi.org/10.34028/iajit/20/4/2","source":{"id":"https://openalex.org/S100666833","display_name":"The International Arab Journal of Information Technology","issn_l":"1683-3198","issn":["1683-3198","2309-4524"],"is_oa":true,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4362726017","host_organization_name":"Zarqa University","host_organization_lineage":["https://openalex.org/P4362726017"],"host_organization_lineage_names":["Zarqa University"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"The International Arab Journal of Information Technology","raw_type":"journal-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"diamond","oa_url":"https://doi.org/10.34028/iajit/20/4/2","any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5102416820","display_name":"Surbhi Kapoor","orcid":"https://orcid.org/0000-0002-9416-9709"},"institutions":[],"countries":[],"is_corresponding":true,"raw_author_name":"Surbhi Kapoor","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5048987624","display_name":"Akashdeep Sharma","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Akashdeep Sharma","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5053539653","display_name":"Amandeep Verma","orcid":"https://orcid.org/0000-0002-3647-0341"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Amandeep Verma","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5073483767","display_name":"Vishal Dhull","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Vishal Dhull","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5092146890","display_name":"Chahat Goyal","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Chahat Goyal","raw_affiliation_strings":[],"affiliations":[]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5102416820"],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":2.4597,"has_fulltext":true,"cited_by_count":20,"citation_normalized_percentile":{"value":0.90973318,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":94,"max":99},"biblio":{"volume":"20","issue":"4","first_page":null,"last_page":null},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10331","display_name":"Video Surveillance and Tracking Methods","score":0.9993000030517578,"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":0.9993000030517578,"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":0.9944999814033508,"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":0.9911999702453613,"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":0.8716319799423218},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.8660750389099121},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.7835965752601624},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.7076637744903564},{"id":"https://openalex.org/keywords/software-portability","display_name":"Software portability","score":0.6143704652786255},{"id":"https://openalex.org/keywords/support-vector-machine","display_name":"Support vector machine","score":0.5337456464767456},{"id":"https://openalex.org/keywords/perceptron","display_name":"Perceptron","score":0.46759316325187683},{"id":"https://openalex.org/keywords/deep-neural-networks","display_name":"Deep neural networks","score":0.43800801038742065},{"id":"https://openalex.org/keywords/multilayer-perceptron","display_name":"Multilayer perceptron","score":0.4163643717765808},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.28518763184547424}],"concepts":[{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.8716319799423218},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8660750389099121},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.7835965752601624},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.7076637744903564},{"id":"https://openalex.org/C63000827","wikidata":"https://www.wikidata.org/wiki/Q3080428","display_name":"Software portability","level":2,"score":0.6143704652786255},{"id":"https://openalex.org/C12267149","wikidata":"https://www.wikidata.org/wiki/Q282453","display_name":"Support vector machine","level":2,"score":0.5337456464767456},{"id":"https://openalex.org/C60908668","wikidata":"https://www.wikidata.org/wiki/Q690207","display_name":"Perceptron","level":3,"score":0.46759316325187683},{"id":"https://openalex.org/C2984842247","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep neural networks","level":3,"score":0.43800801038742065},{"id":"https://openalex.org/C179717631","wikidata":"https://www.wikidata.org/wiki/Q2991667","display_name":"Multilayer perceptron","level":3,"score":0.4163643717765808},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.28518763184547424},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.34028/iajit/20/4/2","is_oa":true,"landing_page_url":"https://doi.org/10.34028/iajit/20/4/2","pdf_url":"https://doi.org/10.34028/iajit/20/4/2","source":{"id":"https://openalex.org/S100666833","display_name":"The International Arab Journal of Information Technology","issn_l":"1683-3198","issn":["1683-3198","2309-4524"],"is_oa":true,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4362726017","host_organization_name":"Zarqa University","host_organization_lineage":["https://openalex.org/P4362726017"],"host_organization_lineage_names":["Zarqa University"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"The International Arab Journal of Information Technology","raw_type":"journal-article"}],"best_oa_location":{"id":"doi:10.34028/iajit/20/4/2","is_oa":true,"landing_page_url":"https://doi.org/10.34028/iajit/20/4/2","pdf_url":"https://doi.org/10.34028/iajit/20/4/2","source":{"id":"https://openalex.org/S100666833","display_name":"The International Arab Journal of Information Technology","issn_l":"1683-3198","issn":["1683-3198","2309-4524"],"is_oa":true,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4362726017","host_organization_name":"Zarqa University","host_organization_lineage":["https://openalex.org/P4362726017"],"host_organization_lineage_names":["Zarqa University"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"The International Arab Journal of Information Technology","raw_type":"journal-article"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4380360744.pdf"},"referenced_works_count":21,"referenced_works":["https://openalex.org/W1497017548","https://openalex.org/W1840884391","https://openalex.org/W1994410397","https://openalex.org/W2011533104","https://openalex.org/W2047345132","https://openalex.org/W2102253509","https://openalex.org/W2104647185","https://openalex.org/W2117539536","https://openalex.org/W2124776405","https://openalex.org/W2130414860","https://openalex.org/W2139357103","https://openalex.org/W2143530935","https://openalex.org/W2158864412","https://openalex.org/W2915189456","https://openalex.org/W2945817677","https://openalex.org/W3001839117","https://openalex.org/W3179293854","https://openalex.org/W3213422946","https://openalex.org/W4225795225","https://openalex.org/W4301149533","https://openalex.org/W6602412242"],"related_works":["https://openalex.org/W2076543106","https://openalex.org/W2019891950","https://openalex.org/W2085842814","https://openalex.org/W4286643620","https://openalex.org/W2523437662","https://openalex.org/W4387048144","https://openalex.org/W2492135063","https://openalex.org/W2362514456","https://openalex.org/W2766585573","https://openalex.org/W4387490624"],"abstract_inverted_index":{"Unmanned":[0],"Aerial":[1],"Vehicle":[2],")UAV(":[3],"finds":[4],"its":[5,13],"significant":[6],"application":[7],"in":[8,32],"video":[9,34],"surveillance":[10],"due":[11],"to":[12,95,158],"low":[14],"cost,":[15],"high":[16],"portability":[17],"and":[18,54,69,82,109,143,196],"fast-mobility.":[19],"In":[20],"this":[21,135],"paper,":[22],"the":[23,29,41,60,73,138,144,165,172],"proposed":[24],"approach":[25],"focuses":[26],"on":[27,40,174],"recognizing":[28],"human":[30,42,61,203],"activity":[31],"aerial":[33,175,206],"sequences":[35],"through":[36],"various":[37],"keypoints":[38,48],"detected":[39,47],"body":[43],"via":[44],"OpenPose.":[45],"The":[46,117,131,161],"are":[49],"passed":[50],"onto":[51],"machine":[52,122,193],"learning":[53,56,123,129,146,194,198],"deep":[55,128,145,197],"classifiers":[57,75,195,199],"for":[58,134,191],"classifying":[59],"actions.":[62],"Experimental":[63],"results":[64,92,118],"demonstrate":[65],"that":[66,121],"multilayer":[67],"perceptron":[68],"SVM":[70],"outperformed":[71],"all":[72],"other":[74,96],"by":[76,170,178],"reporting":[77],"an":[78,105,113],"accuracy":[79,106,114],"of":[80,107,115,141,156,168,202],"87.80%":[81],"87.77%":[83],"respectively":[84],"whereas":[85],"LSTM":[86,111],"did":[87],"not":[88],"produce":[89],"very":[90],"good":[91],"as":[93],"compared":[94],"classifiers.":[97],"Stacked":[98],"Long":[99],"Short-Term":[100],"Memory":[101],"networks":[102],"(LSTM(":[103],"produced":[104],"71.30%":[108],"Bidirectional":[110],"yielded":[112],"76.04%.":[116],"also":[119,163],"indicate":[120],"models":[124,147,151],"performed":[125],"better":[126],"than":[127],"models.":[130],"major":[132],"reason":[133],"finding":[136],"is":[137],"lesser":[139],"availability":[140],"data":[142,149,157],"being":[148],"hungry":[150],"require":[152],"a":[153,179,183,189],"large":[154],"amount":[155],"work":[159,187],"upon.":[160],"paper":[162],"analyses":[164],"failure":[166],"cases":[167],"OpenPose":[169],"testing":[171],"system":[173],"videos":[176],"captured":[177],"drone":[180],"flying":[181],"at":[182],"higher":[184],"altitude.":[185],"This":[186],"provides":[188],"baseline":[190],"validating":[192],"against":[200],"recognition":[201],"action":[204],"from":[205],"videos.":[207]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":5},{"year":2024,"cited_by_count":12},{"year":2023,"cited_by_count":2}],"updated_date":"2025-12-23T23:11:35.936235","created_date":"2025-10-10T00:00:00"}
