{"id":"https://openalex.org/W2788805675","doi":"https://doi.org/10.1109/icassp.2018.8462633","title":"A Revisit of Action Detection Using Improved Trajectories","display_name":"A Revisit of Action Detection Using Improved Trajectories","publication_year":2018,"publication_date":"2018-04-01","ids":{"openalex":"https://openalex.org/W2788805675","doi":"https://doi.org/10.1109/icassp.2018.8462633","mag":"2788805675"},"language":"en","primary_location":{"id":"doi:10.1109/icassp.2018.8462633","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icassp.2018.8462633","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2018 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)","raw_type":"proceedings-article"},"type":"conference-paper","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://orbilu.uni.lu/handle/10993/35012","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5101742459","display_name":"Konstantinos Papadopoulos","orcid":"https://orcid.org/0000-0002-1173-6318"},"institutions":[{"id":"https://openalex.org/I186903577","display_name":"University of Luxembourg","ror":"https://ror.org/036x5ad56","country_code":"LU","type":"education","lineage":["https://openalex.org/I186903577"]}],"countries":["LU"],"is_corresponding":false,"raw_author_name":"Konstantinos Papadopoulos","raw_affiliation_strings":["Reliability and Trust (SnT), University of Luxembourg, Luxembourg"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Reliability and Trust (SnT), University of Luxembourg, Luxembourg","institution_ids":["https://openalex.org/I186903577"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5015602578","display_name":"Michel Antunes","orcid":"https://orcid.org/0000-0001-6115-5186"},"institutions":[{"id":"https://openalex.org/I186903577","display_name":"University of Luxembourg","ror":"https://ror.org/036x5ad56","country_code":"LU","type":"education","lineage":["https://openalex.org/I186903577"]}],"countries":["LU"],"is_corresponding":false,"raw_author_name":"Michel Antunes","raw_affiliation_strings":["Reliability and Trust (SnT), University of Luxembourg, Luxembourg"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Reliability and Trust (SnT), University of Luxembourg, Luxembourg","institution_ids":["https://openalex.org/I186903577"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5083368272","display_name":"Djamila Aouada","orcid":"https://orcid.org/0000-0002-7576-2064"},"institutions":[{"id":"https://openalex.org/I186903577","display_name":"University of Luxembourg","ror":"https://ror.org/036x5ad56","country_code":"LU","type":"education","lineage":["https://openalex.org/I186903577"]}],"countries":["LU"],"is_corresponding":false,"raw_author_name":"Djamila Aouada","raw_affiliation_strings":["Reliability and Trust (SnT), University of Luxembourg, Luxembourg"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Reliability and Trust (SnT), University of Luxembourg, Luxembourg","institution_ids":["https://openalex.org/I186903577"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5080037825","display_name":"Bj\u00f6rn Ottersten","orcid":"https://orcid.org/0000-0003-2298-6774"},"institutions":[{"id":"https://openalex.org/I186903577","display_name":"University of Luxembourg","ror":"https://ror.org/036x5ad56","country_code":"LU","type":"education","lineage":["https://openalex.org/I186903577"]}],"countries":["LU"],"is_corresponding":false,"raw_author_name":"Bjorn Ottersten","raw_affiliation_strings":["Reliability and Trust (SnT), University of Luxembourg, Luxembourg"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Reliability and Trust (SnT), University of Luxembourg, Luxembourg","institution_ids":["https://openalex.org/I186903577"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I186903577"],"apc_list":null,"apc_paid":null,"fwci":0.3042,"has_fulltext":false,"cited_by_count":5,"citation_normalized_percentile":{"value":0.64685896,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":97},"biblio":{"volume":null,"issue":null,"first_page":"2067","last_page":"2071"},"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":0.9970999956130981,"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/T11714","display_name":"Multimodal Machine Learning Applications","score":0.9965999722480774,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/segmentation","display_name":"Segmentation","score":0.8151000142097473},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7572768926620483},{"id":"https://openalex.org/keywords/trajectory","display_name":"Trajectory","score":0.6521565914154053},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6413187980651855},{"id":"https://openalex.org/keywords/action-recognition","display_name":"Action recognition","score":0.6074005365371704},{"id":"https://openalex.org/keywords/classifier","display_name":"Classifier (UML)","score":0.6043213605880737},{"id":"https://openalex.org/keywords/action","display_name":"Action (physics)","score":0.5976991653442383},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.49195215106010437},{"id":"https://openalex.org/keywords/motion","display_name":"Motion (physics)","score":0.4781856834888458},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.4510207176208496},{"id":"https://openalex.org/keywords/image-segmentation","display_name":"Image segmentation","score":0.4398396909236908},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.34425634145736694}],"concepts":[{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.8151000142097473},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7572768926620483},{"id":"https://openalex.org/C13662910","wikidata":"https://www.wikidata.org/wiki/Q193139","display_name":"Trajectory","level":2,"score":0.6521565914154053},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6413187980651855},{"id":"https://openalex.org/C2987834672","wikidata":"https://www.wikidata.org/wiki/Q4677630","display_name":"Action recognition","level":3,"score":0.6074005365371704},{"id":"https://openalex.org/C95623464","wikidata":"https://www.wikidata.org/wiki/Q1096149","display_name":"Classifier (UML)","level":2,"score":0.6043213605880737},{"id":"https://openalex.org/C2780791683","wikidata":"https://www.wikidata.org/wiki/Q846785","display_name":"Action (physics)","level":2,"score":0.5976991653442383},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.49195215106010437},{"id":"https://openalex.org/C104114177","wikidata":"https://www.wikidata.org/wiki/Q79782","display_name":"Motion (physics)","level":2,"score":0.4781856834888458},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.4510207176208496},{"id":"https://openalex.org/C124504099","wikidata":"https://www.wikidata.org/wiki/Q56933","display_name":"Image segmentation","level":3,"score":0.4398396909236908},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.34425634145736694},{"id":"https://openalex.org/C1276947","wikidata":"https://www.wikidata.org/wiki/Q333","display_name":"Astronomy","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},{"id":"https://openalex.org/C2777212361","wikidata":"https://www.wikidata.org/wiki/Q5127848","display_name":"Class (philosophy)","level":2,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/icassp.2018.8462633","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icassp.2018.8462633","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2018 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)","raw_type":"proceedings-article"},{"id":"pmh:oai:orbilu.uni.lu:10993/35012","is_oa":true,"landing_page_url":"https://orbilu.uni.lu/handle/10993/35012","pdf_url":null,"source":{"id":"https://openalex.org/S4306401815","display_name":"Open Repository and Bibliography (University of Luxembourg)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I186903577","host_organization_name":"University of Luxembourg","host_organization_lineage":["https://openalex.org/I186903577"],"host_organization_lineage_names":[],"type":"repository"},"license":"other-oa","license_id":"https://openalex.org/licenses/other-oa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"IEEE International Conference on Acoustics, Speech and Signal Processing, Calgary, Alberta, Canada, 15\u201320 April 2018 (2018); International Conference on Acoustics, Speech and Signal Processing, Calgary, Alberta, Canada [CA], from 15-04-2018 to 20-04-2018","raw_type":"http://purl.org/coar/resource_type/c_5794"}],"best_oa_location":{"id":"pmh:oai:orbilu.uni.lu:10993/35012","is_oa":true,"landing_page_url":"https://orbilu.uni.lu/handle/10993/35012","pdf_url":null,"source":{"id":"https://openalex.org/S4306401815","display_name":"Open Repository and Bibliography (University of Luxembourg)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I186903577","host_organization_name":"University of Luxembourg","host_organization_lineage":["https://openalex.org/I186903577"],"host_organization_lineage_names":[],"type":"repository"},"license":"other-oa","license_id":"https://openalex.org/licenses/other-oa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"IEEE International Conference on Acoustics, Speech and Signal Processing, Calgary, Alberta, Canada, 15\u201320 April 2018 (2018); International Conference on Acoustics, Speech and Signal Processing, Calgary, Alberta, Canada [CA], from 15-04-2018 to 20-04-2018","raw_type":"http://purl.org/coar/resource_type/c_5794"},"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/16","display_name":"Peace, Justice and strong institutions","score":0.6299999952316284}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":22,"referenced_works":["https://openalex.org/W225975350","https://openalex.org/W578775697","https://openalex.org/W1567708943","https://openalex.org/W1606858007","https://openalex.org/W1944615693","https://openalex.org/W2016776918","https://openalex.org/W2019660985","https://openalex.org/W2027020658","https://openalex.org/W2033740597","https://openalex.org/W2048821851","https://openalex.org/W2105101328","https://openalex.org/W2119605622","https://openalex.org/W2126574503","https://openalex.org/W2142194269","https://openalex.org/W2143267104","https://openalex.org/W2307770531","https://openalex.org/W2341313195","https://openalex.org/W2620671369","https://openalex.org/W3023742835","https://openalex.org/W3103081334","https://openalex.org/W3177525997","https://openalex.org/W6635654010"],"related_works":["https://openalex.org/W4323768008","https://openalex.org/W1941703695","https://openalex.org/W4248382324","https://openalex.org/W3131574667","https://openalex.org/W4360995134","https://openalex.org/W2039473718","https://openalex.org/W2387529410","https://openalex.org/W3023605104","https://openalex.org/W1522196789","https://openalex.org/W2551337514"],"abstract_inverted_index":{"In":[0,30],"this":[1,35,93],"paper,":[2],"we":[3,95,141],"revisit":[4],"trajectory-based":[5],"action":[6,28,32,72,118,149],"detection":[7,150],"in":[8,27,49,81,103],"a":[9,61,97,146],"potent":[10],"and":[11,73,140],"non-uniform":[12,100],"way.":[13],"Improved":[14],"trajectories":[15,130],"have":[16,78],"been":[17],"proven":[18],"to":[19,54,69,89],"be":[20,90,121],"an":[21,104],"effective":[22],"model":[23],"for":[24,92],"motion":[25],"description":[26],"recognition.":[29],"temporal":[31],"localization,":[33],"however,":[34],"approach":[36],"is":[37,66],"not":[38],"efficiently":[39],"exploited.":[40],"Trajectory":[41],"features":[42],"extracted":[43],"from":[44],"uniform":[45,59,85],"video":[46,86],"segments":[47],"result":[48],"significant":[50,62],"performance":[51,144],"degradation":[52],"due":[53],"two":[55],"reasons:":[56],"(a)":[57],"during":[58],"segmentation,":[60,101],"amount":[63],"of":[64],"noise":[65],"often":[67],"added":[68],"the":[70,127],"main":[71],"(b)":[74],"partial":[75],"actions":[76],"can":[77,120],"negative":[79],"impact":[80],"classifier's":[82],"performance.":[83],"Since":[84],"segmentation":[87],"seems":[88],"insufficient":[91],"task,":[94],"propose":[96],"two-step":[98],"supervised":[99],"performed":[102,123],"online":[105,148],"manner.":[106],"Action":[107],"proposals":[108],"are":[109],"generated":[110],"using":[111,126],"either":[112],"2D":[113],"or":[114],"3D":[115],"data,":[116],"therefore":[117],"classification":[119],"directly":[122],"on":[124,145],"them":[125],"standard":[128],"improved":[129,143],"approach.":[131],"We":[132],"experimentally":[133],"compare":[134],"our":[135],"method":[136],"with":[137],"other":[138],"approaches":[139],"show":[142],"challenging":[147],"dataset.":[151]},"counts_by_year":[{"year":2019,"cited_by_count":3},{"year":2018,"cited_by_count":1},{"year":2017,"cited_by_count":1}],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2025-10-10T00:00:00"}
