{"id":"https://openalex.org/W3090628358","doi":"https://doi.org/10.1145/3350840","title":"Action Recognition Using Form and Motion Modalities","display_name":"Action Recognition Using Form and Motion Modalities","publication_year":2020,"publication_date":"2020-01-31","ids":{"openalex":"https://openalex.org/W3090628358","doi":"https://doi.org/10.1145/3350840","mag":"3090628358"},"language":"en","primary_location":{"id":"doi:10.1145/3350840","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3350840","pdf_url":null,"source":{"id":"https://openalex.org/S19610489","display_name":"ACM Transactions on Multimedia Computing Communications and Applications","issn_l":"1551-6857","issn":["1551-6857","1551-6865"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319798","host_organization_name":"Association for Computing Machinery","host_organization_lineage":["https://openalex.org/P4310319798"],"host_organization_lineage_names":["Association for Computing Machinery"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ACM Transactions on Multimedia Computing, Communications, and Applications","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/A5100716924","display_name":"Quanling Meng","orcid":"https://orcid.org/0000-0003-3902-7510"},"institutions":[{"id":"https://openalex.org/I204983213","display_name":"Harbin Institute of Technology","ror":"https://ror.org/01yqg2h08","country_code":"CN","type":"education","lineage":["https://openalex.org/I204983213"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Quanling Meng","raw_affiliation_strings":["Harbin Institute of Technology, Weihai, Shandong, China"],"affiliations":[{"raw_affiliation_string":"Harbin Institute of Technology, Weihai, Shandong, China","institution_ids":["https://openalex.org/I204983213"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5012489612","display_name":"Heyan Zhu","orcid":null},"institutions":[{"id":"https://openalex.org/I18452120","display_name":"Yantai University","ror":"https://ror.org/01rp41m56","country_code":"CN","type":"education","lineage":["https://openalex.org/I18452120"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Heyan Zhu","raw_affiliation_strings":["Yantai University, Yantai, Shandong, China"],"affiliations":[{"raw_affiliation_string":"Yantai University, Yantai, Shandong, China","institution_ids":["https://openalex.org/I18452120"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5014774434","display_name":"Weigang Zhang","orcid":"https://orcid.org/0000-0003-0042-7074"},"institutions":[{"id":"https://openalex.org/I204983213","display_name":"Harbin Institute of Technology","ror":"https://ror.org/01yqg2h08","country_code":"CN","type":"education","lineage":["https://openalex.org/I204983213"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Weigang Zhang","raw_affiliation_strings":["Harbin Institute of Technology, Weihai, Shandong, China"],"affiliations":[{"raw_affiliation_string":"Harbin Institute of Technology, Weihai, Shandong, China","institution_ids":["https://openalex.org/I204983213"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5000452437","display_name":"Xuefeng Piao","orcid":"https://orcid.org/0000-0001-5528-1848"},"institutions":[{"id":"https://openalex.org/I204983213","display_name":"Harbin Institute of Technology","ror":"https://ror.org/01yqg2h08","country_code":"CN","type":"education","lineage":["https://openalex.org/I204983213"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xuefeng Piao","raw_affiliation_strings":["Harbin Institute of Technology, Weihai, Shandong, China"],"affiliations":[{"raw_affiliation_string":"Harbin Institute of Technology, Weihai, Shandong, China","institution_ids":["https://openalex.org/I204983213"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5102273213","display_name":"Aijie Zhang","orcid":null},"institutions":[{"id":"https://openalex.org/I143413998","display_name":"Qingdao University of Science and Technology","ror":"https://ror.org/041j8js14","country_code":"CN","type":"education","lineage":["https://openalex.org/I143413998"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Aijie Zhang","raw_affiliation_strings":["Qingdao University of Science and Technology, Qingdao, Shandong, China"],"affiliations":[{"raw_affiliation_string":"Qingdao University of Science and Technology, Qingdao, Shandong, China","institution_ids":["https://openalex.org/I143413998"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5100716924"],"corresponding_institution_ids":["https://openalex.org/I204983213"],"apc_list":null,"apc_paid":null,"fwci":1.1724,"has_fulltext":false,"cited_by_count":19,"citation_normalized_percentile":{"value":0.81393043,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":93,"max":99},"biblio":{"volume":"16","issue":"1s","first_page":"1","last_page":"16"},"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/T12740","display_name":"Gait Recognition and Analysis","score":0.9986000061035156,"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"}},{"id":"https://openalex.org/T11398","display_name":"Hand Gesture Recognition Systems","score":0.9980000257492065,"subfield":{"id":"https://openalex.org/subfields/1709","display_name":"Human-Computer Interaction"},"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":0.7924652099609375},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.7875349521636963},{"id":"https://openalex.org/keywords/exploit","display_name":"Exploit","score":0.6715199947357178},{"id":"https://openalex.org/keywords/action-recognition","display_name":"Action recognition","score":0.6513490080833435},{"id":"https://openalex.org/keywords/classifier","display_name":"Classifier (UML)","score":0.570843517780304},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.5544325113296509},{"id":"https://openalex.org/keywords/modalities","display_name":"Modalities","score":0.5483589172363281},{"id":"https://openalex.org/keywords/feature-learning","display_name":"Feature learning","score":0.538629412651062},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.5201224088668823},{"id":"https://openalex.org/keywords/neural-coding","display_name":"Neural coding","score":0.5063391923904419},{"id":"https://openalex.org/keywords/motion","display_name":"Motion (physics)","score":0.47346940636634827},{"id":"https://openalex.org/keywords/representation","display_name":"Representation (politics)","score":0.4641377329826355},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.4612758159637451},{"id":"https://openalex.org/keywords/coding","display_name":"Coding (social sciences)","score":0.4461009204387665},{"id":"https://openalex.org/keywords/pairwise-comparison","display_name":"Pairwise comparison","score":0.44006314873695374},{"id":"https://openalex.org/keywords/focus","display_name":"Focus (optics)","score":0.4348568916320801},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.4132338762283325},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.3286333680152893},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.08387497067451477}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7924652099609375},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7875349521636963},{"id":"https://openalex.org/C165696696","wikidata":"https://www.wikidata.org/wiki/Q11287","display_name":"Exploit","level":2,"score":0.6715199947357178},{"id":"https://openalex.org/C2987834672","wikidata":"https://www.wikidata.org/wiki/Q4677630","display_name":"Action recognition","level":3,"score":0.6513490080833435},{"id":"https://openalex.org/C95623464","wikidata":"https://www.wikidata.org/wiki/Q1096149","display_name":"Classifier (UML)","level":2,"score":0.570843517780304},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.5544325113296509},{"id":"https://openalex.org/C2779903281","wikidata":"https://www.wikidata.org/wiki/Q6888026","display_name":"Modalities","level":2,"score":0.5483589172363281},{"id":"https://openalex.org/C59404180","wikidata":"https://www.wikidata.org/wiki/Q17013334","display_name":"Feature learning","level":2,"score":0.538629412651062},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5201224088668823},{"id":"https://openalex.org/C77637269","wikidata":"https://www.wikidata.org/wiki/Q7002051","display_name":"Neural coding","level":2,"score":0.5063391923904419},{"id":"https://openalex.org/C104114177","wikidata":"https://www.wikidata.org/wiki/Q79782","display_name":"Motion (physics)","level":2,"score":0.47346940636634827},{"id":"https://openalex.org/C2776359362","wikidata":"https://www.wikidata.org/wiki/Q2145286","display_name":"Representation (politics)","level":3,"score":0.4641377329826355},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.4612758159637451},{"id":"https://openalex.org/C179518139","wikidata":"https://www.wikidata.org/wiki/Q5140297","display_name":"Coding (social sciences)","level":2,"score":0.4461009204387665},{"id":"https://openalex.org/C184898388","wikidata":"https://www.wikidata.org/wiki/Q1435712","display_name":"Pairwise comparison","level":2,"score":0.44006314873695374},{"id":"https://openalex.org/C192209626","wikidata":"https://www.wikidata.org/wiki/Q190909","display_name":"Focus (optics)","level":2,"score":0.4348568916320801},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.4132338762283325},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.3286333680152893},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.08387497067451477},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","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/C94625758","wikidata":"https://www.wikidata.org/wiki/Q7163","display_name":"Politics","level":2,"score":0.0},{"id":"https://openalex.org/C120665830","wikidata":"https://www.wikidata.org/wiki/Q14620","display_name":"Optics","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},{"id":"https://openalex.org/C144024400","wikidata":"https://www.wikidata.org/wiki/Q21201","display_name":"Sociology","level":0,"score":0.0},{"id":"https://openalex.org/C199539241","wikidata":"https://www.wikidata.org/wiki/Q7748","display_name":"Law","level":1,"score":0.0},{"id":"https://openalex.org/C36289849","wikidata":"https://www.wikidata.org/wiki/Q34749","display_name":"Social science","level":1,"score":0.0},{"id":"https://openalex.org/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","level":1,"score":0.0},{"id":"https://openalex.org/C17744445","wikidata":"https://www.wikidata.org/wiki/Q36442","display_name":"Political science","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}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3350840","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3350840","pdf_url":null,"source":{"id":"https://openalex.org/S19610489","display_name":"ACM Transactions on Multimedia Computing Communications and Applications","issn_l":"1551-6857","issn":["1551-6857","1551-6865"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319798","host_organization_name":"Association for Computing Machinery","host_organization_lineage":["https://openalex.org/P4310319798"],"host_organization_lineage_names":["Association for Computing Machinery"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ACM Transactions on Multimedia Computing, Communications, and Applications","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G7474709008","display_name":null,"funder_award_id":"ZR2017MF001","funder_id":"https://openalex.org/F4320324174","funder_display_name":"Natural Science Foundation of Shandong Province"}],"funders":[{"id":"https://openalex.org/F4320324174","display_name":"Natural Science Foundation of Shandong Province","ror":null}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":50,"referenced_works":["https://openalex.org/W1897029691","https://openalex.org/W1906374873","https://openalex.org/W1944615693","https://openalex.org/W1966385142","https://openalex.org/W1973326669","https://openalex.org/W1975660996","https://openalex.org/W1977814411","https://openalex.org/W1983364832","https://openalex.org/W2006904655","https://openalex.org/W2015393172","https://openalex.org/W2027922120","https://openalex.org/W2037513725","https://openalex.org/W2043032787","https://openalex.org/W2059589342","https://openalex.org/W2059781288","https://openalex.org/W2066513304","https://openalex.org/W2075649259","https://openalex.org/W2084793887","https://openalex.org/W2092903210","https://openalex.org/W2094579227","https://openalex.org/W2105101328","https://openalex.org/W2112109082","https://openalex.org/W2121609805","https://openalex.org/W2140856208","https://openalex.org/W2151103935","https://openalex.org/W2152756885","https://openalex.org/W2164963309","https://openalex.org/W2169047568","https://openalex.org/W2186222003","https://openalex.org/W2246782854","https://openalex.org/W2299597245","https://openalex.org/W2315643162","https://openalex.org/W2484332996","https://openalex.org/W2511065100","https://openalex.org/W2588142644","https://openalex.org/W2596164567","https://openalex.org/W2624845660","https://openalex.org/W2740537152","https://openalex.org/W2750023899","https://openalex.org/W2767101793","https://openalex.org/W2798472916","https://openalex.org/W2800990595","https://openalex.org/W2809440904","https://openalex.org/W2897623414","https://openalex.org/W2911671827","https://openalex.org/W2964297311","https://openalex.org/W3008201418","https://openalex.org/W3013377280","https://openalex.org/W4236965008","https://openalex.org/W4291596201"],"related_works":["https://openalex.org/W2141819204","https://openalex.org/W2380016249","https://openalex.org/W2807311372","https://openalex.org/W2784352036","https://openalex.org/W2022996092","https://openalex.org/W2534909612","https://openalex.org/W4367598285","https://openalex.org/W2743258233","https://openalex.org/W2546942002","https://openalex.org/W2905846897"],"abstract_inverted_index":{"Action":[0],"recognition":[1,25],"has":[2],"attracted":[3],"increasing":[4],"interest":[5],"in":[6,14,23,74],"computer":[7],"vision":[8,16],"due":[9],"to":[10,27,43,95,134,159,179],"its":[11],"potential":[12],"applications":[13],"many":[15],"systems.":[17],"One":[18],"of":[19],"the":[20,55,61,71,97,106,137,174],"main":[21],"challenges":[22],"action":[24,88,164],"is":[26,177],"extract":[28,44],"powerful":[29],"features":[30,45,99,104,125],"from":[31,46,100],"videos.":[32,47,101],"Most":[33],"existing":[34],"approaches":[35],"exploit":[36],"either":[37],"hand-crafted":[38],"techniques":[39],"or":[40],"learning-based":[41],"methods":[42,50,67],"However,":[48],"these":[49,66],"mainly":[51],"focus":[52],"on":[53,168],"extracting":[54],"dynamic":[56],"motion":[57,109,124,140],"features,":[58],"which":[59,90,131],"ignore":[60],"static":[62,138],"form":[63,107,122],"features.":[64,141],"Therefore,":[65],"cannot":[68],"fully":[69],"capture":[70],"underlying":[72,98],"information":[73],"videos":[75],"accurately.":[76],"In":[77],"this":[78],"article,":[79],"we":[80],"propose":[81],"a":[82,148,152],"novel":[83],"feature":[84,118],"representation":[85,150],"method":[86,176],"for":[87,163],"recognition,":[89],"exploits":[91],"hierarchical":[92],"sparse":[93],"coding":[94],"learn":[96],"The":[102,120],"learned":[103,121],"characterize":[105],"and":[108,111,116,123,139,156],"simultaneously":[110],"therefore":[112],"provide":[113],"more":[114],"accurate":[115],"complete":[117],"representation.":[119],"are":[126,132,144],"considered":[127],"as":[128],"two":[129],"modalities,":[130],"used":[133],"represent":[135],"both":[136],"These":[142],"modalities":[143],"further":[145],"encoded":[146],"into":[147],"global":[149],"via":[151],"pairwise":[153],"dictionary":[154],"learning":[155],"then":[157],"fed":[158],"an":[160],"SVM":[161],"classifier":[162],"classification.":[165],"Experimental":[166],"results":[167],"several":[169,180],"challenging":[170],"datasets":[171],"validate":[172],"that":[173],"proposed":[175],"superior":[178],"state-of-the-art":[181],"methods.":[182]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":3},{"year":2024,"cited_by_count":3},{"year":2023,"cited_by_count":4},{"year":2022,"cited_by_count":4},{"year":2021,"cited_by_count":2},{"year":2020,"cited_by_count":2}],"updated_date":"2026-02-27T16:54:17.756197","created_date":"2025-10-10T00:00:00"}
