{"id":"https://openalex.org/W4393130527","doi":"https://doi.org/10.1093/comjnl/bxae028","title":"Human Activity Recognition Based On Video Summarization And Deep Convolutional Neural Network","display_name":"Human Activity Recognition Based On Video Summarization And Deep Convolutional Neural Network","publication_year":2024,"publication_date":"2024-03-23","ids":{"openalex":"https://openalex.org/W4393130527","doi":"https://doi.org/10.1093/comjnl/bxae028"},"language":"en","primary_location":{"id":"doi:10.1093/comjnl/bxae028","is_oa":false,"landing_page_url":"https://doi.org/10.1093/comjnl/bxae028","pdf_url":null,"source":{"id":"https://openalex.org/S44643521","display_name":"The Computer Journal","issn_l":"0010-4620","issn":["0010-4620","1460-2067"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310311648","host_organization_name":"Oxford University Press","host_organization_lineage":["https://openalex.org/P4310311648","https://openalex.org/P4310311647"],"host_organization_lineage_names":["Oxford University Press","University of Oxford"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"The Computer Journal","raw_type":"journal-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/A5059587448","display_name":"Arati Kushwaha","orcid":"https://orcid.org/0000-0002-4425-8615"},"institutions":[{"id":"https://openalex.org/I82571370","display_name":"GLA University","ror":"https://ror.org/05fnxgv12","country_code":"IN","type":"education","lineage":["https://openalex.org/I82571370"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Arati Kushwaha","raw_affiliation_strings":["Department of Computer Engineering & Applications, GLA University , Mathura , India"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Computer Engineering & Applications, GLA University , Mathura , India","institution_ids":["https://openalex.org/I82571370"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5083656658","display_name":"Manish Khare","orcid":"https://orcid.org/0000-0002-2296-2732"},"institutions":[{"id":"https://openalex.org/I98389781","display_name":"Dhirubhai Ambani University","ror":"https://ror.org/02d5b7g69","country_code":"IN","type":"education","lineage":["https://openalex.org/I98389781"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Manish Khare","raw_affiliation_strings":["Dhirubhai Ambani Institute of Information and Communication Technology , Gandhinagar , India"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Dhirubhai Ambani Institute of Information and Communication Technology , Gandhinagar , India","institution_ids":["https://openalex.org/I98389781"]}]},{"author_position":"middle","author":{"id":null,"display_name":"Reddy Mounika Bommisetty","orcid":null},"institutions":[{"id":"https://openalex.org/I168893459","display_name":"University of Allahabad","ror":"https://ror.org/03vrx7m55","country_code":"IN","type":"education","lineage":["https://openalex.org/I168893459"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Reddy Mounika Bommisetty","raw_affiliation_strings":["Department of Electronics & Communication, University of Allahabad , Prayagraj, Uttar Pradesh , India"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Electronics & Communication, University of Allahabad , Prayagraj, Uttar Pradesh , India","institution_ids":["https://openalex.org/I168893459"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5042414040","display_name":"Ashish Khare","orcid":"https://orcid.org/0000-0002-1070-877X"},"institutions":[{"id":"https://openalex.org/I168893459","display_name":"University of Allahabad","ror":"https://ror.org/03vrx7m55","country_code":"IN","type":"education","lineage":["https://openalex.org/I168893459"]},{"id":"https://openalex.org/I82571370","display_name":"GLA University","ror":"https://ror.org/05fnxgv12","country_code":"IN","type":"education","lineage":["https://openalex.org/I82571370"]}],"countries":["IN"],"is_corresponding":true,"raw_author_name":"Ashish Khare","raw_affiliation_strings":["Department of Computer Engineering & Applications, GLA University , Mathura , India","Department of Electronics & Communication, University of Allahabad , Prayagraj, Uttar Pradesh , India"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Computer Engineering & Applications, GLA University , Mathura , India","institution_ids":["https://openalex.org/I82571370"]},{"raw_affiliation_string":"Department of Electronics & Communication, University of Allahabad , Prayagraj, Uttar Pradesh , India","institution_ids":["https://openalex.org/I168893459"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5042414040"],"corresponding_institution_ids":["https://openalex.org/I168893459","https://openalex.org/I82571370"],"apc_list":{"value":2635,"currency":"GBP","value_usd":3232},"apc_paid":null,"fwci":1.4306,"has_fulltext":false,"cited_by_count":7,"citation_normalized_percentile":{"value":0.81758452,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":95,"max":98},"biblio":{"volume":"67","issue":"8","first_page":"2601","last_page":"2609"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10812","display_name":"Human Pose and Action Recognition","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/T10812","display_name":"Human Pose and Action Recognition","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/T11512","display_name":"Anomaly Detection Techniques and Applications","score":0.9979000091552734,"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/T12740","display_name":"Gait Recognition and Analysis","score":0.9961000084877014,"subfield":{"id":"https://openalex.org/subfields/2204","display_name":"Biomedical Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/automatic-summarization","display_name":"Automatic summarization","score":0.9194820523262024},{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.8501875400543213},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.8065943717956543},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5965350866317749},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.48466259241104126},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.43042275309562683}],"concepts":[{"id":"https://openalex.org/C170858558","wikidata":"https://www.wikidata.org/wiki/Q1394144","display_name":"Automatic summarization","level":2,"score":0.9194820523262024},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.8501875400543213},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8065943717956543},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5965350866317749},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.48466259241104126},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.43042275309562683}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1093/comjnl/bxae028","is_oa":false,"landing_page_url":"https://doi.org/10.1093/comjnl/bxae028","pdf_url":null,"source":{"id":"https://openalex.org/S44643521","display_name":"The Computer Journal","issn_l":"0010-4620","issn":["0010-4620","1460-2067"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310311648","host_organization_name":"Oxford University Press","host_organization_lineage":["https://openalex.org/P4310311648","https://openalex.org/P4310311647"],"host_organization_lineage_names":["Oxford University Press","University of Oxford"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"The Computer Journal","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Decent work and economic growth","id":"https://metadata.un.org/sdg/8","score":0.49000000953674316}],"awards":[{"id":"https://openalex.org/G1621383447","display_name":null,"funder_award_id":"CRG/2020/001982","funder_id":"https://openalex.org/F4916976011","funder_display_name":"Dipartimento di Scienze e Tecnologie, Universit\u00e0 degli Studi del Sannio"}],"funders":[{"id":"https://openalex.org/F4320334771","display_name":"Science and Engineering Research Board","ror":"https://ror.org/03ffdsr55"},{"id":"https://openalex.org/F4916976011","display_name":"Dipartimento di Scienze e Tecnologie, Universit\u00e0 degli Studi del Sannio","ror":null}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":36,"referenced_works":["https://openalex.org/W1686810756","https://openalex.org/W2013076218","https://openalex.org/W2524365899","https://openalex.org/W2618530766","https://openalex.org/W2619947201","https://openalex.org/W2810685774","https://openalex.org/W2883723049","https://openalex.org/W2912814345","https://openalex.org/W2995060084","https://openalex.org/W3080272091","https://openalex.org/W3088102655","https://openalex.org/W3093503483","https://openalex.org/W3095123887","https://openalex.org/W3163791499","https://openalex.org/W3190922123","https://openalex.org/W4237345212","https://openalex.org/W4297201155","https://openalex.org/W4311863164","https://openalex.org/W4360980757","https://openalex.org/W4382278644","https://openalex.org/W4391130962","https://openalex.org/W4391158540","https://openalex.org/W6637373629","https://openalex.org/W6674914833","https://openalex.org/W6678616107","https://openalex.org/W6687483927","https://openalex.org/W6698821526","https://openalex.org/W6728047685","https://openalex.org/W6776188855","https://openalex.org/W6791394317","https://openalex.org/W6810371925","https://openalex.org/W6810524912","https://openalex.org/W6838532648","https://openalex.org/W6848377695","https://openalex.org/W6860797821","https://openalex.org/W6955071965"],"related_works":["https://openalex.org/W2731899572","https://openalex.org/W4226493464","https://openalex.org/W3215138031","https://openalex.org/W4312417841","https://openalex.org/W3193565141","https://openalex.org/W3009238340","https://openalex.org/W3133861977","https://openalex.org/W4321369474","https://openalex.org/W4360585206","https://openalex.org/W4285208911"],"abstract_inverted_index":{"Abstract":[0],"In":[1],"this":[2],"technological":[3],"era,":[4],"human":[5],"activity":[6,173],"recognition":[7],"(HAR)":[8],"plays":[9],"a":[10,44,51,128,142,194],"significant":[11],"role":[12],"in":[13,26,58,193,224],"several":[14,212],"applications":[15],"like":[16],"surveillance,":[17],"health":[18],"services,":[19],"Internet":[20],"of":[21,89,104,117,154,172,197,203,218,226,241],"Things,":[22],"etc.":[23],"Recent":[24],"advancements":[25],"deep":[27,52,147],"learning":[28,53,148],"and":[29,60,82,144,166,186,232],"video":[30,120,191],"summarization":[31,121],"have":[32],"motivated":[33],"us":[34],"to":[35,183],"integrate":[36],"these":[37,112],"techniques":[38],"for":[39,96],"HAR.":[40],"This":[41],"paper":[42],"introduces":[43],"computationally":[45,97,145],"efficient":[46,98,134,146,179],"HAR":[47,99],"technique":[48,126,182],"based":[49,150],"on":[50,151,211],"framework,":[54],"which":[55,160],"works":[56],"well":[57],"realistic":[59],"multi-view":[61],"environments.":[62],"Deep":[63],"convolutional":[64],"neural":[65],"networks":[66],"(DCNNs)":[67],"normally":[68],"suffer":[69],"from":[70],"different":[71],"constraints,":[72],"including":[73],"data":[74],"size":[75],"dependencies,":[76],"computational":[77,106],"complexity,":[78],"overfitting,":[79],"training":[80],"challenges":[81],"vanishing":[83],"gradients.":[84],"Additionally,":[85],"with":[86,101,119,133],"the":[87,94,102,152,162,169,189,201,204,209,219,239,242],"use":[88],"advanced":[90],"mobile":[91],"vision":[92],"devices,":[93],"demand":[95],"algorithms":[100],"requirement":[103],"limited":[105],"resources":[107],"is":[108,222],"high.":[109],"To":[110,199],"address":[111],"issues,":[113],"we":[114,140,176,207],"used":[115],"integration":[116],"DCNN":[118],"using":[122],"keyframes.":[123],"The":[124,216,235],"proposed":[125,205,220],"offers":[127],"solution":[129],"that":[130],"enhances":[131],"performance":[132,217],"resource":[135],"utilization.":[136],"For":[137],"this,":[138],"first,":[139],"designed":[141],"lightweight":[143],"architecture":[149],"concept":[153],"identity":[155],"skip":[156],"connections":[157],"(features":[158],"reusability),":[159],"preserves":[161],"gradient":[163],"loss":[164],"attenuation":[165],"can":[167],"handle":[168],"enormous":[170],"complexity":[171],"classes.":[174],"Subsequently,":[175],"employed":[177],"an":[178],"keyframe":[180],"extraction":[181],"minimize":[184],"redundancy":[185],"succinctly":[187],"encapsulate":[188],"entire":[190],"content":[192],"lesser":[195],"number":[196],"frames.":[198],"evaluate":[200],"efficacy":[202],"method,":[206],"performed":[208],"experimentation":[210],"publicly":[213],"available":[214],"datasets.":[215],"method":[221],"measured":[223],"terms":[225],"evaluation":[227],"parameters":[228],"Precision,":[229],"Recall,":[230],"F-Measure":[231],"Classification":[233],"Accuracy.":[234],"experimental":[236],"results":[237],"demonstrated":[238],"superiority":[240],"presented":[243],"algorithm":[244],"over":[245],"other":[246],"existing":[247],"state-of-the-art":[248],"methods.":[249]},"counts_by_year":[{"year":2026,"cited_by_count":2},{"year":2025,"cited_by_count":2},{"year":2024,"cited_by_count":3}],"updated_date":"2026-06-15T08:34:33.830935","created_date":"2025-10-10T00:00:00"}
