{"id":"https://openalex.org/W3209841849","doi":"https://doi.org/10.1109/icccnt51525.2021.9579817","title":"Recognizing Human Actions in Video using Motion History Image and Deep Learning","display_name":"Recognizing Human Actions in Video using Motion History Image and Deep Learning","publication_year":2021,"publication_date":"2021-07-06","ids":{"openalex":"https://openalex.org/W3209841849","doi":"https://doi.org/10.1109/icccnt51525.2021.9579817","mag":"3209841849"},"language":"en","primary_location":{"id":"doi:10.1109/icccnt51525.2021.9579817","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icccnt51525.2021.9579817","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2021 12th International Conference on Computing Communication and Networking Technologies (ICCCNT)","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/A5065471029","display_name":"Prasanna Sai Chandragiri","orcid":null},"institutions":[{"id":"https://openalex.org/I121750182","display_name":"National Institute of Technology Warangal","ror":"https://ror.org/017ebfz38","country_code":"IN","type":"education","lineage":["https://openalex.org/I121750182"]}],"countries":["IN"],"is_corresponding":true,"raw_author_name":"Prasanna Sai Chandragiri","raw_affiliation_strings":["National Institute of Technology, Warangal, Telangana, India"],"affiliations":[{"raw_affiliation_string":"National Institute of Technology, Warangal, Telangana, India","institution_ids":["https://openalex.org/I121750182"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5061023457","display_name":"Earnest Paul Ijjina","orcid":"https://orcid.org/0000-0003-1988-5139"},"institutions":[{"id":"https://openalex.org/I121750182","display_name":"National Institute of Technology Warangal","ror":"https://ror.org/017ebfz38","country_code":"IN","type":"education","lineage":["https://openalex.org/I121750182"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Earnest Paul Ijjina","raw_affiliation_strings":["National Institute of Technology, Warangal, Telangana, India"],"affiliations":[{"raw_affiliation_string":"National Institute of Technology, Warangal, Telangana, India","institution_ids":["https://openalex.org/I121750182"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5065471029"],"corresponding_institution_ids":["https://openalex.org/I121750182"],"apc_list":null,"apc_paid":null,"fwci":0.1921,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.50171569,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":94,"max":96},"biblio":{"volume":"9","issue":null,"first_page":"01","last_page":"05"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10812","display_name":"Human Pose and Action Recognition","score":1.0,"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":1.0,"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":0.9990000128746033,"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":0.9965999722480774,"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/computer-science","display_name":"Computer science","score":0.793110191822052},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.7321465611457825},{"id":"https://openalex.org/keywords/context","display_name":"Context (archaeology)","score":0.6524057984352112},{"id":"https://openalex.org/keywords/action","display_name":"Action (physics)","score":0.6314762234687805},{"id":"https://openalex.org/keywords/motion","display_name":"Motion (physics)","score":0.6275275945663452},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.6159921884536743},{"id":"https://openalex.org/keywords/action-recognition","display_name":"Action recognition","score":0.6068618893623352},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.4801030457019806},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.43809252977371216},{"id":"https://openalex.org/keywords/human-motion","display_name":"Human motion","score":0.4263274371623993},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.32998964190483093},{"id":"https://openalex.org/keywords/geography","display_name":"Geography","score":0.0643250048160553}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.793110191822052},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7321465611457825},{"id":"https://openalex.org/C2779343474","wikidata":"https://www.wikidata.org/wiki/Q3109175","display_name":"Context (archaeology)","level":2,"score":0.6524057984352112},{"id":"https://openalex.org/C2780791683","wikidata":"https://www.wikidata.org/wiki/Q846785","display_name":"Action (physics)","level":2,"score":0.6314762234687805},{"id":"https://openalex.org/C104114177","wikidata":"https://www.wikidata.org/wiki/Q79782","display_name":"Motion (physics)","level":2,"score":0.6275275945663452},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.6159921884536743},{"id":"https://openalex.org/C2987834672","wikidata":"https://www.wikidata.org/wiki/Q4677630","display_name":"Action recognition","level":3,"score":0.6068618893623352},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.4801030457019806},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.43809252977371216},{"id":"https://openalex.org/C2986578859","wikidata":"https://www.wikidata.org/wiki/Q657632","display_name":"Human motion","level":3,"score":0.4263274371623993},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.32998964190483093},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.0643250048160553},{"id":"https://openalex.org/C2777212361","wikidata":"https://www.wikidata.org/wiki/Q5127848","display_name":"Class (philosophy)","level":2,"score":0.0},{"id":"https://openalex.org/C166957645","wikidata":"https://www.wikidata.org/wiki/Q23498","display_name":"Archaeology","level":1,"score":0.0},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icccnt51525.2021.9579817","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icccnt51525.2021.9579817","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2021 12th International Conference on Computing Communication and Networking Technologies (ICCCNT)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Peace, Justice and strong institutions","score":0.46000000834465027,"id":"https://metadata.un.org/sdg/16"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":22,"referenced_works":["https://openalex.org/W24089286","https://openalex.org/W1522301498","https://openalex.org/W1686810756","https://openalex.org/W2034328688","https://openalex.org/W2055233384","https://openalex.org/W2064675550","https://openalex.org/W2140223865","https://openalex.org/W2163605009","https://openalex.org/W2180635266","https://openalex.org/W2194775991","https://openalex.org/W2685712812","https://openalex.org/W2886690463","https://openalex.org/W2945096417","https://openalex.org/W2948568408","https://openalex.org/W2964121744","https://openalex.org/W2999723590","https://openalex.org/W3049475126","https://openalex.org/W4249279051","https://openalex.org/W6631190155","https://openalex.org/W6637373629","https://openalex.org/W6680618930","https://openalex.org/W6684191040"],"related_works":["https://openalex.org/W2529580585","https://openalex.org/W2804584315","https://openalex.org/W2035558540","https://openalex.org/W2004712313","https://openalex.org/W2167757589","https://openalex.org/W2332110715","https://openalex.org/W2988011613","https://openalex.org/W2806036343","https://openalex.org/W2079653927","https://openalex.org/W2608683086"],"abstract_inverted_index":{"Action":[0],"recognition":[1,22],"from":[2],"videos":[3,40,46],"has":[4],"become":[5],"one":[6],"of":[7,15,39,53],"the":[8,43,54],"coveted":[9],"fields":[10],"in":[11,45],"recent":[12],"years":[13],"because":[14],"its":[16],"potential":[17],"applications.":[18],"In":[19,32],"particular,":[20],"action":[21],"methods":[23],"utilizing":[24],"deep":[25],"learning":[26],"are":[27],"found":[28],"to":[29,41],"be":[30],"effective.":[31],"this":[33],"paper":[34],"we":[35],"use":[36],"spatio-temporal":[37],"context":[38],"recognize":[42],"actions":[44],"using":[47],"motion":[48],"history":[49],"images.":[50],"The":[51],"effectiveness":[52],"proposed":[55],"approach":[56],"is":[57],"demonstrated":[58],"on":[59],"a":[60],"new":[61],"dataset":[62],"with":[63],"typical":[64],"payment":[65],"related":[66],"actions.":[67]},"counts_by_year":[{"year":2024,"cited_by_count":2}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}