{"id":"https://openalex.org/W2625265422","doi":"https://doi.org/10.1145/3055635.3056569","title":"Real-time Action Recognition Based on Key Frame Detection","display_name":"Real-time Action Recognition Based on Key Frame Detection","publication_year":2017,"publication_date":"2017-02-24","ids":{"openalex":"https://openalex.org/W2625265422","doi":"https://doi.org/10.1145/3055635.3056569","mag":"2625265422"},"language":"en","primary_location":{"id":"doi:10.1145/3055635.3056569","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3055635.3056569","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 9th International Conference on Machine Learning and Computing","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/A5100643791","display_name":"Ling Zhou","orcid":"https://orcid.org/0009-0008-8592-3870"},"institutions":[{"id":"https://openalex.org/I114531698","display_name":"Tokyo Institute of Technology","ror":"https://ror.org/0112mx960","country_code":"JP","type":"education","lineage":["https://openalex.org/I114531698"]}],"countries":["JP"],"is_corresponding":true,"raw_author_name":"Ling Zhou","raw_affiliation_strings":["Tokyo Institute of Technology, Nagatsuta-cho, Midoriku, Yokohama, Japan"],"affiliations":[{"raw_affiliation_string":"Tokyo Institute of Technology, Nagatsuta-cho, Midoriku, Yokohama, Japan","institution_ids":["https://openalex.org/I114531698"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5015122886","display_name":"Hiroshi Nagahashi","orcid":null},"institutions":[{"id":"https://openalex.org/I114531698","display_name":"Tokyo Institute of Technology","ror":"https://ror.org/0112mx960","country_code":"JP","type":"education","lineage":["https://openalex.org/I114531698"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Hiroshi Nagahashi","raw_affiliation_strings":["Tokyo Institute of Technology, Nagatsuta-cho, Midoriku, Yokohama, Japan"],"affiliations":[{"raw_affiliation_string":"Tokyo Institute of Technology, Nagatsuta-cho, Midoriku, Yokohama, Japan","institution_ids":["https://openalex.org/I114531698"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5100643791"],"corresponding_institution_ids":["https://openalex.org/I114531698"],"apc_list":null,"apc_paid":null,"fwci":0.182,"has_fulltext":false,"cited_by_count":10,"citation_normalized_percentile":{"value":0.55254756,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":97},"biblio":{"volume":null,"issue":null,"first_page":"272","last_page":"277"},"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/T11439","display_name":"Video Analysis and Summarization","score":0.9984999895095825,"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":0.9973000288009644,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6912128329277039},{"id":"https://openalex.org/keywords/key","display_name":"Key (lock)","score":0.6867061853408813},{"id":"https://openalex.org/keywords/action","display_name":"Action (physics)","score":0.5305647850036621},{"id":"https://openalex.org/keywords/frame","display_name":"Frame (networking)","score":0.5089120864868164},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4952520430088043},{"id":"https://openalex.org/keywords/action-recognition","display_name":"Action recognition","score":0.47671905159950256},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.3791303038597107},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.37259507179260254},{"id":"https://openalex.org/keywords/computer-security","display_name":"Computer security","score":0.11114326119422913},{"id":"https://openalex.org/keywords/telecommunications","display_name":"Telecommunications","score":0.07331269979476929}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6912128329277039},{"id":"https://openalex.org/C26517878","wikidata":"https://www.wikidata.org/wiki/Q228039","display_name":"Key (lock)","level":2,"score":0.6867061853408813},{"id":"https://openalex.org/C2780791683","wikidata":"https://www.wikidata.org/wiki/Q846785","display_name":"Action (physics)","level":2,"score":0.5305647850036621},{"id":"https://openalex.org/C126042441","wikidata":"https://www.wikidata.org/wiki/Q1324888","display_name":"Frame (networking)","level":2,"score":0.5089120864868164},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4952520430088043},{"id":"https://openalex.org/C2987834672","wikidata":"https://www.wikidata.org/wiki/Q4677630","display_name":"Action recognition","level":3,"score":0.47671905159950256},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3791303038597107},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.37259507179260254},{"id":"https://openalex.org/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","level":1,"score":0.11114326119422913},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.07331269979476929},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"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/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3055635.3056569","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3055635.3056569","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 9th International Conference on Machine Learning and Computing","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.6499999761581421,"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":20,"referenced_works":["https://openalex.org/W1974809759","https://openalex.org/W1978511849","https://openalex.org/W2003543060","https://openalex.org/W2019586054","https://openalex.org/W2020163092","https://openalex.org/W2034328688","https://openalex.org/W2043329319","https://openalex.org/W2063153269","https://openalex.org/W2063438554","https://openalex.org/W2100588357","https://openalex.org/W2101194540","https://openalex.org/W2105101328","https://openalex.org/W2109761267","https://openalex.org/W2125838338","https://openalex.org/W2146634731","https://openalex.org/W2152556536","https://openalex.org/W2161969291","https://openalex.org/W2185818416","https://openalex.org/W2283723945","https://openalex.org/W3100318614"],"related_works":["https://openalex.org/W1891287906","https://openalex.org/W2036807459","https://openalex.org/W2080322084","https://openalex.org/W1967456564","https://openalex.org/W4312095940","https://openalex.org/W2941155331","https://openalex.org/W3131297908","https://openalex.org/W3106494386","https://openalex.org/W2403849358","https://openalex.org/W4386076173"],"abstract_inverted_index":{"Human":[0],"action":[1,36,48],"recognition":[2,49,88,98],"is":[3,64,90],"an":[4],"important":[5],"topic":[6],"in":[7,37,93],"computer":[8],"vision.":[9],"Despite":[10],"the":[11,28,75,87,97,108,112,117,131],"satisfactory":[12],"accuracies":[13,30],"achieved":[14],"by":[15],"a":[16,38,46,71],"number":[17],"of":[18,84,111,134],"methods,":[19],"they":[20],"often":[21],"need":[22],"computationally":[23],"heavy":[24],"algorithms":[25],"to":[26,66,95,106,129],"obtain":[27],"good":[29,132],"and":[31,58,125,140],"can":[32],"only":[33,80],"recognize":[34],"one":[35],"short":[39],"video.":[40],"In":[41,116],"this":[42],"paper,":[43],"we":[44,100],"propose":[45],"real-time":[47],"method":[50,137],"that":[51],"achieves":[52],"state-of-the-art":[53],"accuracy":[54],"on":[55,74,138],"both":[56],"single-action":[57,139],"multi-action":[59,141],"recognition.":[60,142],"A":[61],"new":[62],"algorithm":[63],"proposed":[65,136],"detect":[67],"key":[68,81,114],"frames":[69,82],"from":[70],"temporal":[72,109],"window":[73],"video":[76],"frames.":[77,115],"By":[78],"analyzing":[79],"instead":[83],"all":[85],"frames,":[86],"speed":[89],"improved.":[91],"Furthermore,":[92],"order":[94],"guarantee":[96],"accuracy,":[99],"employ":[101],"Hidden":[102],"Markov":[103],"Model":[104],"(HMM)":[105],"analyze":[107],"relationship":[110],"detected":[113],"experiments,":[118],"three":[119],"public":[120],"datasets,":[121],"KTH,":[122],"UCF":[123],"Sports":[124],"s-KTH,":[126],"are":[127],"used":[128],"demonstrate":[130],"performance":[133],"our":[135]},"counts_by_year":[{"year":2024,"cited_by_count":2},{"year":2023,"cited_by_count":1},{"year":2022,"cited_by_count":3},{"year":2021,"cited_by_count":2},{"year":2020,"cited_by_count":1},{"year":2018,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
