{"id":"https://openalex.org/W2765341225","doi":"https://doi.org/10.1109/cig.2017.8080421","title":"3D cylindrical trace transform based feature extraction for effective human action classification","display_name":"3D cylindrical trace transform based feature extraction for effective human action classification","publication_year":2017,"publication_date":"2017-08-01","ids":{"openalex":"https://openalex.org/W2765341225","doi":"https://doi.org/10.1109/cig.2017.8080421","mag":"2765341225"},"language":"en","primary_location":{"id":"doi:10.1109/cig.2017.8080421","is_oa":false,"landing_page_url":"https://doi.org/10.1109/cig.2017.8080421","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2017 IEEE Conference on Computational Intelligence and Games (CIG)","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://figshare.com/articles/conference_contribution/3D_Cylindrical_Trace_Transform_based_feature_extraction_for_effective_human_action_classification/25173455","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5110264514","display_name":"Georgios Goudelis","orcid":null},"institutions":[{"id":"https://openalex.org/I174458059","display_name":"National Technical University of Athens","ror":"https://ror.org/03cx6bg69","country_code":"GR","type":"education","lineage":["https://openalex.org/I174458059"]}],"countries":["GR"],"is_corresponding":true,"raw_author_name":"Georgios Goudelis","raw_affiliation_strings":["National Technical University of Athens, Athens, GR"],"affiliations":[{"raw_affiliation_string":"National Technical University of Athens, Athens, GR","institution_ids":["https://openalex.org/I174458059"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5057290234","display_name":"Georgios Tsatiris","orcid":null},"institutions":[{"id":"https://openalex.org/I174458059","display_name":"National Technical University of Athens","ror":"https://ror.org/03cx6bg69","country_code":"GR","type":"education","lineage":["https://openalex.org/I174458059"]}],"countries":["GR"],"is_corresponding":false,"raw_author_name":"Georgios Tsatiris","raw_affiliation_strings":["School of Electrical and Computer Engineering, National Technical University of Athens 9, Athens, Greece"],"affiliations":[{"raw_affiliation_string":"School of Electrical and Computer Engineering, National Technical University of Athens 9, Athens, Greece","institution_ids":["https://openalex.org/I174458059"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5048509383","display_name":"Kostas Karpouzis","orcid":"https://orcid.org/0000-0002-4615-6751"},"institutions":[{"id":"https://openalex.org/I174458059","display_name":"National Technical University of Athens","ror":"https://ror.org/03cx6bg69","country_code":"GR","type":"education","lineage":["https://openalex.org/I174458059"]}],"countries":["GR"],"is_corresponding":false,"raw_author_name":"Kostas Karpouzis","raw_affiliation_strings":["School of Electrical and Computer Engineering, National Technical University of Athens 9, Athens, Greece"],"affiliations":[{"raw_affiliation_string":"School of Electrical and Computer Engineering, National Technical University of Athens 9, Athens, Greece","institution_ids":["https://openalex.org/I174458059"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5001457450","display_name":"Stefanos Kollias","orcid":"https://orcid.org/0000-0003-2899-0598"},"institutions":[{"id":"https://openalex.org/I51532219","display_name":"University of Lincoln","ror":"https://ror.org/03yeq9x20","country_code":"GB","type":"education","lineage":["https://openalex.org/I51532219"]},{"id":"https://openalex.org/I174458059","display_name":"National Technical University of Athens","ror":"https://ror.org/03cx6bg69","country_code":"GR","type":"education","lineage":["https://openalex.org/I174458059"]}],"countries":["GB","GR"],"is_corresponding":false,"raw_author_name":"Stefanos Kollias","raw_affiliation_strings":["School of Computer Science, University of of Lincoln, Brayford Pool, Lincoln, Lincolnshire, UK","School of Electrical and Computer Engineering, National Technical University of Athens 9, Athens, Greece"],"affiliations":[{"raw_affiliation_string":"School of Computer Science, University of of Lincoln, Brayford Pool, Lincoln, Lincolnshire, UK","institution_ids":["https://openalex.org/I51532219"]},{"raw_affiliation_string":"School of Electrical and Computer Engineering, National Technical University of Athens 9, Athens, Greece","institution_ids":["https://openalex.org/I174458059"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5110264514"],"corresponding_institution_ids":["https://openalex.org/I174458059"],"apc_list":null,"apc_paid":null,"fwci":0.647,"has_fulltext":false,"cited_by_count":8,"citation_normalized_percentile":{"value":0.79077233,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":97},"biblio":{"volume":"3","issue":null,"first_page":"96","last_page":"103"},"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":0.9988999962806702,"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":0.9976999759674072,"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":0.7708765268325806},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.7064205408096313},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.70208740234375},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.6308230757713318},{"id":"https://openalex.org/keywords/trace","display_name":"TRACE (psycholinguistics)","score":0.5981148481369019},{"id":"https://openalex.org/keywords/invariant","display_name":"Invariant (physics)","score":0.48932167887687683},{"id":"https://openalex.org/keywords/action-recognition","display_name":"Action recognition","score":0.4726525843143463},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.4495382308959961},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.43276721239089966},{"id":"https://openalex.org/keywords/noise","display_name":"Noise (video)","score":0.4323388338088989},{"id":"https://openalex.org/keywords/discriminant","display_name":"Discriminant","score":0.42341309785842896},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.28706642985343933},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.14818289875984192}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7708765268325806},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7064205408096313},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.70208740234375},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.6308230757713318},{"id":"https://openalex.org/C75291252","wikidata":"https://www.wikidata.org/wiki/Q1315756","display_name":"TRACE (psycholinguistics)","level":2,"score":0.5981148481369019},{"id":"https://openalex.org/C190470478","wikidata":"https://www.wikidata.org/wiki/Q2370229","display_name":"Invariant (physics)","level":2,"score":0.48932167887687683},{"id":"https://openalex.org/C2987834672","wikidata":"https://www.wikidata.org/wiki/Q4677630","display_name":"Action recognition","level":3,"score":0.4726525843143463},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.4495382308959961},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.43276721239089966},{"id":"https://openalex.org/C99498987","wikidata":"https://www.wikidata.org/wiki/Q2210247","display_name":"Noise (video)","level":3,"score":0.4323388338088989},{"id":"https://openalex.org/C78397625","wikidata":"https://www.wikidata.org/wiki/Q192487","display_name":"Discriminant","level":2,"score":0.42341309785842896},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.28706642985343933},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.14818289875984192},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C37914503","wikidata":"https://www.wikidata.org/wiki/Q156495","display_name":"Mathematical physics","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/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/cig.2017.8080421","is_oa":false,"landing_page_url":"https://doi.org/10.1109/cig.2017.8080421","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2017 IEEE Conference on Computational Intelligence and Games (CIG)","raw_type":"proceedings-article"},{"id":"pmh:oai:eprints.lincoln.ac.uk:30096","is_oa":false,"landing_page_url":null,"pdf_url":null,"source":{"id":"https://openalex.org/S4377196275","display_name":"Lincoln Repository (University of Lincoln)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I51532219","host_organization_name":"University of Lincoln","host_organization_lineage":["https://openalex.org/I51532219"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"acceptedVersion","is_accepted":true,"is_published":false,"raw_source_name":"","raw_type":"Conference or Workshop contribution"},{"id":"pmh:oai:figshare.com:article/25173455","is_oa":true,"landing_page_url":"https://figshare.com/articles/conference_contribution/3D_Cylindrical_Trace_Transform_based_feature_extraction_for_effective_human_action_classification/25173455","pdf_url":null,"source":{"id":"https://openalex.org/S4377196282","display_name":"Figshare","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I4210132348","host_organization_name":"Figshare (United Kingdom)","host_organization_lineage":["https://openalex.org/I4210132348"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"Text"}],"best_oa_location":{"id":"pmh:oai:figshare.com:article/25173455","is_oa":true,"landing_page_url":"https://figshare.com/articles/conference_contribution/3D_Cylindrical_Trace_Transform_based_feature_extraction_for_effective_human_action_classification/25173455","pdf_url":null,"source":{"id":"https://openalex.org/S4377196282","display_name":"Figshare","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I4210132348","host_organization_name":"Figshare (United Kingdom)","host_organization_lineage":["https://openalex.org/I4210132348"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"Text"},"sustainable_development_goals":[{"score":0.6899999976158142,"id":"https://metadata.un.org/sdg/10","display_name":"Reduced inequalities"}],"awards":[],"funders":[{"id":"https://openalex.org/F4320320300","display_name":"European Commission","ror":"https://ror.org/00k4n6c32"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":30,"referenced_works":["https://openalex.org/W13423774","https://openalex.org/W1520854714","https://openalex.org/W1551696353","https://openalex.org/W2002706836","https://openalex.org/W2010399676","https://openalex.org/W2032322171","https://openalex.org/W2034328688","https://openalex.org/W2041642111","https://openalex.org/W2056339039","https://openalex.org/W2072937229","https://openalex.org/W2073212499","https://openalex.org/W2078193953","https://openalex.org/W2086441628","https://openalex.org/W2126574503","https://openalex.org/W2142194269","https://openalex.org/W2149645715","https://openalex.org/W2152619267","https://openalex.org/W2158699018","https://openalex.org/W2159546866","https://openalex.org/W2159780548","https://openalex.org/W2160952140","https://openalex.org/W2166267120","https://openalex.org/W2176642261","https://openalex.org/W2548913113","https://openalex.org/W2577671007","https://openalex.org/W2589722592","https://openalex.org/W4249279051","https://openalex.org/W6683232819","https://openalex.org/W6685514644","https://openalex.org/W7058460489"],"related_works":["https://openalex.org/W2061122711","https://openalex.org/W4247954915","https://openalex.org/W2131958170","https://openalex.org/W4241330371","https://openalex.org/W2273754158","https://openalex.org/W2336747664","https://openalex.org/W2357130048","https://openalex.org/W4206605161","https://openalex.org/W2092234295","https://openalex.org/W1971270045"],"abstract_inverted_index":{"Human":[0],"action":[1,45,153],"recognition":[2,12,154],"is":[3],"currently":[4],"one":[5],"of":[6,50,62,66,86,117,146,162,167],"the":[7,48,51,55,60,67,84,87,113,144,160,163,168,173],"hottest":[8],"areas":[9],"in":[10,100,120],"pattern":[11],"and":[13,21,24,31,123,139,166],"machine":[14],"intelligence.":[15],"Its":[16],"applications":[17],"vary":[18],"from":[19,74],"console":[20],"exertion":[22],"gaming":[23],"human":[25,147],"computer":[26],"interaction":[27],"to":[28,54,111,124,127],"automated":[29],"surveillance":[30],"assistive":[32],"environments.":[33],"In":[34],"this":[35],"paper,":[36],"we":[37,82],"present":[38],"a":[39,63,79,101],"novel":[40,88],"feature":[41,102],"extraction":[42,103],"method":[43],"for":[44,143,172],"recognition,":[46],"extending":[47],"capabilities":[49],"Trace":[52,68,93],"transform":[53,69,165],"3D":[56,64,91],"domain.":[57],"We":[58],"define":[59],"notion":[61],"form":[65],"on":[70,150],"discrete":[71],"volumes":[72],"extracted":[73],"spatio-temporal":[75,121],"image":[76],"sequences.":[77],"On":[78],"second":[80],"level,":[81],"propose":[83],"combination":[85],"transform,":[89],"named":[90],"Cylindrical":[92],"Transform,":[94],"with":[95],"Selective":[96],"Spatio-Temporal":[97],"Interest":[98],"Points,":[99],"scheme":[104,171],"called":[105],"Volumetric":[106],"Triple":[107],"Features,":[108],"which":[109],"manages":[110],"capture":[112],"valuable":[114],"geometrical":[115,130],"distribution":[116],"interest":[118],"points":[119],"sequences":[122],"give":[125],"prominence":[126],"their":[128],"action-discriminant":[129],"correlations.":[131],"The":[132],"technique":[133],"provides":[134],"noise":[135],"robust,":[136],"distortion":[137],"invariant":[138],"temporally":[140],"sensitive":[141],"features":[142],"classification":[145],"actions.":[148],"Experiments":[149],"different":[151],"challenging":[152],"datasets":[155],"provided":[156],"impressive":[157],"results":[158],"indicating":[159],"efficiency":[161],"proposed":[164,170],"overall":[169],"specific":[174],"task.":[175]},"counts_by_year":[{"year":2024,"cited_by_count":1},{"year":2020,"cited_by_count":2},{"year":2018,"cited_by_count":2},{"year":2017,"cited_by_count":3}],"updated_date":"2026-04-05T17:49:38.594831","created_date":"2025-10-10T00:00:00"}
