{"id":"https://openalex.org/W2798927292","doi":"https://doi.org/10.1109/tcyb.2019.2904901","title":"Object Activity Scene Description, Construction, and Recognition","display_name":"Object Activity Scene Description, Construction, and Recognition","publication_year":2019,"publication_date":"2019-04-01","ids":{"openalex":"https://openalex.org/W2798927292","doi":"https://doi.org/10.1109/tcyb.2019.2904901","mag":"2798927292","pmid":"https://pubmed.ncbi.nlm.nih.gov/30946690"},"language":"en","primary_location":{"id":"doi:10.1109/tcyb.2019.2904901","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tcyb.2019.2904901","pdf_url":null,"source":{"id":"https://openalex.org/S4210191041","display_name":"IEEE Transactions on Cybernetics","issn_l":"2168-2267","issn":["2168-2267","2168-2275"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Cybernetics","raw_type":"journal-article"},"type":"article","indexed_in":["arxiv","crossref","pubmed"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://arxiv.org/pdf/1805.00258","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5070818316","display_name":"Hui Feng","orcid":"https://orcid.org/0000-0001-6696-3094"},"institutions":[{"id":"https://openalex.org/I196699116","display_name":"Wuhan University of Technology","ror":"https://ror.org/03fe7t173","country_code":"CN","type":"education","lineage":["https://openalex.org/I196699116"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Hui Feng","raw_affiliation_strings":["Key Laboratory of High Performance Ship Technology, Ministry of Education, Wuhan University of Technology, Wuhan, China","School of Transportation, Wuhan University of Technology, Wuhan, China"],"affiliations":[{"raw_affiliation_string":"Key Laboratory of High Performance Ship Technology, Ministry of Education, Wuhan University of Technology, Wuhan, China","institution_ids":["https://openalex.org/I196699116"]},{"raw_affiliation_string":"School of Transportation, Wuhan University of Technology, Wuhan, China","institution_ids":["https://openalex.org/I196699116"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5012487137","display_name":"Shanshan Wang","orcid":"https://orcid.org/0000-0001-8930-303X"},"institutions":[{"id":"https://openalex.org/I108688024","display_name":"Qingdao University","ror":"https://ror.org/021cj6z65","country_code":"CN","type":"education","lineage":["https://openalex.org/I108688024"]},{"id":"https://openalex.org/I165932596","display_name":"National University of Singapore","ror":"https://ror.org/01tgyzw49","country_code":"SG","type":"education","lineage":["https://openalex.org/I165932596"]}],"countries":["CN","SG"],"is_corresponding":false,"raw_author_name":"Shanshan Wang","raw_affiliation_strings":["Department of Electrical and Computer Engineering, National University of Singapore, Singapore","Institute for Future, Qingdao University, Qingdao, China"],"affiliations":[{"raw_affiliation_string":"Department of Electrical and Computer Engineering, National University of Singapore, Singapore","institution_ids":["https://openalex.org/I165932596"]},{"raw_affiliation_string":"Institute for Future, Qingdao University, Qingdao, China","institution_ids":["https://openalex.org/I108688024"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100717006","display_name":"Haixiang Xu","orcid":"https://orcid.org/0000-0001-6598-3413"},"institutions":[{"id":"https://openalex.org/I196699116","display_name":"Wuhan University of Technology","ror":"https://ror.org/03fe7t173","country_code":"CN","type":"education","lineage":["https://openalex.org/I196699116"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Haixiang Xu","raw_affiliation_strings":["Key Laboratory of High Performance Ship Technology, Ministry of Education, Wuhan University of Technology, Wuhan, China","School of Transportation, Wuhan University of Technology, Wuhan, China"],"affiliations":[{"raw_affiliation_string":"Key Laboratory of High Performance Ship Technology, Ministry of Education, Wuhan University of Technology, Wuhan, China","institution_ids":["https://openalex.org/I196699116"]},{"raw_affiliation_string":"School of Transportation, Wuhan University of Technology, Wuhan, China","institution_ids":["https://openalex.org/I196699116"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5008501506","display_name":"Shuzhi Sam Ge","orcid":"https://orcid.org/0000-0001-5549-312X"},"institutions":[{"id":"https://openalex.org/I108688024","display_name":"Qingdao University","ror":"https://ror.org/021cj6z65","country_code":"CN","type":"education","lineage":["https://openalex.org/I108688024"]},{"id":"https://openalex.org/I165932596","display_name":"National University of Singapore","ror":"https://ror.org/01tgyzw49","country_code":"SG","type":"education","lineage":["https://openalex.org/I165932596"]}],"countries":["CN","SG"],"is_corresponding":false,"raw_author_name":"Shuzhi Sam Ge","raw_affiliation_strings":["Department of Electrical and Computer Engineering, National University of Singapore, Singapore","Institute for Future, Qingdao University, Qingdao, China"],"affiliations":[{"raw_affiliation_string":"Department of Electrical and Computer Engineering, National University of Singapore, Singapore","institution_ids":["https://openalex.org/I165932596"]},{"raw_affiliation_string":"Institute for Future, Qingdao University, Qingdao, China","institution_ids":["https://openalex.org/I108688024"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5070818316"],"corresponding_institution_ids":["https://openalex.org/I196699116"],"apc_list":null,"apc_paid":null,"fwci":0.8175,"has_fulltext":false,"cited_by_count":10,"citation_normalized_percentile":{"value":0.76311505,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":98},"biblio":{"volume":"51","issue":"10","first_page":"5082","last_page":"5092"},"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":0.9977999925613403,"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/T11512","display_name":"Anomaly Detection Techniques and Applications","score":0.9965999722480774,"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":0.7478575706481934},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6900960803031921},{"id":"https://openalex.org/keywords/embedding","display_name":"Embedding","score":0.6422131061553955},{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.6271775364875793},{"id":"https://openalex.org/keywords/object","display_name":"Object (grammar)","score":0.6019066572189331},{"id":"https://openalex.org/keywords/action","display_name":"Action (physics)","score":0.5791475176811218},{"id":"https://openalex.org/keywords/action-recognition","display_name":"Action recognition","score":0.5232530832290649},{"id":"https://openalex.org/keywords/motion","display_name":"Motion (physics)","score":0.5199373960494995},{"id":"https://openalex.org/keywords/task","display_name":"Task (project management)","score":0.4993093013763428},{"id":"https://openalex.org/keywords/word","display_name":"Word (group theory)","score":0.4807841181755066},{"id":"https://openalex.org/keywords/activity-recognition","display_name":"Activity recognition","score":0.43297863006591797},{"id":"https://openalex.org/keywords/partition","display_name":"Partition (number theory)","score":0.43149203062057495},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.4296319782733917},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.4108848571777344},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.08659005165100098}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7478575706481934},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6900960803031921},{"id":"https://openalex.org/C41608201","wikidata":"https://www.wikidata.org/wiki/Q980509","display_name":"Embedding","level":2,"score":0.6422131061553955},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.6271775364875793},{"id":"https://openalex.org/C2781238097","wikidata":"https://www.wikidata.org/wiki/Q175026","display_name":"Object (grammar)","level":2,"score":0.6019066572189331},{"id":"https://openalex.org/C2780791683","wikidata":"https://www.wikidata.org/wiki/Q846785","display_name":"Action (physics)","level":2,"score":0.5791475176811218},{"id":"https://openalex.org/C2987834672","wikidata":"https://www.wikidata.org/wiki/Q4677630","display_name":"Action recognition","level":3,"score":0.5232530832290649},{"id":"https://openalex.org/C104114177","wikidata":"https://www.wikidata.org/wiki/Q79782","display_name":"Motion (physics)","level":2,"score":0.5199373960494995},{"id":"https://openalex.org/C2780451532","wikidata":"https://www.wikidata.org/wiki/Q759676","display_name":"Task (project management)","level":2,"score":0.4993093013763428},{"id":"https://openalex.org/C90805587","wikidata":"https://www.wikidata.org/wiki/Q10944557","display_name":"Word (group theory)","level":2,"score":0.4807841181755066},{"id":"https://openalex.org/C121687571","wikidata":"https://www.wikidata.org/wiki/Q4677630","display_name":"Activity recognition","level":2,"score":0.43297863006591797},{"id":"https://openalex.org/C42812","wikidata":"https://www.wikidata.org/wiki/Q1082910","display_name":"Partition (number theory)","level":2,"score":0.43149203062057495},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.4296319782733917},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.4108848571777344},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.08659005165100098},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.0},{"id":"https://openalex.org/C114614502","wikidata":"https://www.wikidata.org/wiki/Q76592","display_name":"Combinatorics","level":1,"score":0.0},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0},{"id":"https://openalex.org/C187736073","wikidata":"https://www.wikidata.org/wiki/Q2920921","display_name":"Management","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/C2777212361","wikidata":"https://www.wikidata.org/wiki/Q5127848","display_name":"Class (philosophy)","level":2,"score":0.0}],"mesh":[],"locations_count":3,"locations":[{"id":"doi:10.1109/tcyb.2019.2904901","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tcyb.2019.2904901","pdf_url":null,"source":{"id":"https://openalex.org/S4210191041","display_name":"IEEE Transactions on Cybernetics","issn_l":"2168-2267","issn":["2168-2267","2168-2275"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Cybernetics","raw_type":"journal-article"},{"id":"pmid:30946690","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/30946690","pdf_url":null,"source":{"id":"https://openalex.org/S4306525036","display_name":"PubMed","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1299303238","host_organization_name":"National Institutes of Health","host_organization_lineage":["https://openalex.org/I1299303238"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE transactions on cybernetics","raw_type":null},{"id":"pmh:oai:arXiv.org:1805.00258","is_oa":true,"landing_page_url":"http://arxiv.org/abs/1805.00258","pdf_url":"https://arxiv.org/pdf/1805.00258","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"text"}],"best_oa_location":{"id":"pmh:oai:arXiv.org:1805.00258","is_oa":true,"landing_page_url":"http://arxiv.org/abs/1805.00258","pdf_url":"https://arxiv.org/pdf/1805.00258","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"text"},"sustainable_development_goals":[{"display_name":"Reduced inequalities","id":"https://metadata.un.org/sdg/10","score":0.5400000214576721}],"awards":[{"id":"https://openalex.org/G5819894439","display_name":null,"funder_award_id":"61301279","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G8834534954","display_name":null,"funder_award_id":"51879210","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":45,"referenced_works":["https://openalex.org/W1493190793","https://openalex.org/W1586730761","https://openalex.org/W1721654678","https://openalex.org/W1944615693","https://openalex.org/W1950788856","https://openalex.org/W1983364832","https://openalex.org/W2008765809","https://openalex.org/W2016053056","https://openalex.org/W2033628596","https://openalex.org/W2048821851","https://openalex.org/W2052648922","https://openalex.org/W2060280062","https://openalex.org/W2073018102","https://openalex.org/W2085735683","https://openalex.org/W2091911422","https://openalex.org/W2098339052","https://openalex.org/W2101032778","https://openalex.org/W2105101328","https://openalex.org/W2106996050","https://openalex.org/W2134670479","https://openalex.org/W2142194269","https://openalex.org/W2143267104","https://openalex.org/W2144380653","https://openalex.org/W2145546283","https://openalex.org/W2149645715","https://openalex.org/W2156303437","https://openalex.org/W2162033023","https://openalex.org/W2163605009","https://openalex.org/W2194775991","https://openalex.org/W2235034809","https://openalex.org/W2308045930","https://openalex.org/W2584419447","https://openalex.org/W2606294640","https://openalex.org/W2611932403","https://openalex.org/W2792672053","https://openalex.org/W2884276099","https://openalex.org/W2890732922","https://openalex.org/W3099831940","https://openalex.org/W3103977930","https://openalex.org/W4233450617","https://openalex.org/W4248443165","https://openalex.org/W6640754710","https://openalex.org/W6679792166","https://openalex.org/W6682864246","https://openalex.org/W6684191040"],"related_works":["https://openalex.org/W2081900870","https://openalex.org/W3195649134","https://openalex.org/W2281498195","https://openalex.org/W2037549926","https://openalex.org/W2017526120","https://openalex.org/W2345479200","https://openalex.org/W2183306018","https://openalex.org/W1975325338","https://openalex.org/W3181401746","https://openalex.org/W2982423860"],"abstract_inverted_index":{"Action":[0],"recognition":[1,19],"is":[2,39],"a":[3,40,45,97],"critical":[4],"task":[5],"for":[6],"social":[7],"robots":[8],"to":[9,43,102],"meaningfully":[10],"engage":[11],"with":[12],"their":[13],"environment.":[14],"3-D":[15],"human":[16,122],"skeleton-based":[17],"action":[18,36],"has":[20],"been":[21],"an":[22,50],"attractive":[23],"research":[24],"area":[25],"in":[26,49],"recent":[27],"years.":[28],"Although":[29],"the":[30,61,73,78,82,119,126,129],"existing":[31],"approaches":[32],"are":[33,75],"good":[34],"at":[35,57],"recognition,":[37],"it":[38],"great":[41],"challenge":[42],"recognize":[44,103],"group":[46],"of":[47,81,109,113,121,128],"actions":[48,66],"activity":[51,104,123],"scene.":[52],"To":[53],"tackle":[54],"this":[55],"problem,":[56],"first,":[58],"we":[59,95],"partition":[60],"scene":[62],"into":[63],"several":[64],"primitive":[65],"(PAs)-based":[67],"upon":[68],"motion":[69,108],"attention":[70],"mechanism.":[71],"Then,":[72],"PAs":[74],"described":[76],"by":[77,88,106],"trajectory":[79],"vectors":[80],"corresponding":[83],"joints.":[84],"After":[85],"that,":[86],"motivated":[87],"text":[89],"classification":[90],"based":[91],"on":[92,118],"word":[93],"embedding,":[94],"employ":[96],"convolutional":[98],"neural":[99],"network":[100],"(CNN)":[101],"scenes":[105,124],"considering":[107],"joints":[110],"as":[111],"\"word\"":[112],"activity.":[114],"The":[115],"experimental":[116],"results":[117],"dataset":[120],"show":[125],"efficiency":[127],"proposed":[130],"approach.":[131]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":1},{"year":2022,"cited_by_count":2},{"year":2021,"cited_by_count":5},{"year":2020,"cited_by_count":1}],"updated_date":"2026-03-27T05:58:40.876381","created_date":"2025-10-10T00:00:00"}
