{"id":"https://openalex.org/W2765651845","doi":"https://doi.org/10.1155/2017/4019213","title":"Representation for Action Recognition Using Trajectory-Based Low-Level Local Feature and Mid-Level Motion Feature","display_name":"Representation for Action Recognition Using Trajectory-Based Low-Level Local Feature and Mid-Level Motion Feature","publication_year":2017,"publication_date":"2017-01-01","ids":{"openalex":"https://openalex.org/W2765651845","doi":"https://doi.org/10.1155/2017/4019213","mag":"2765651845"},"language":"en","primary_location":{"id":"doi:10.1155/2017/4019213","is_oa":true,"landing_page_url":"https://doi.org/10.1155/2017/4019213","pdf_url":"http://downloads.hindawi.com/journals/acisc/2017/4019213.pdf","source":{"id":"https://openalex.org/S30680879","display_name":"Applied Computational Intelligence and Soft Computing","issn_l":"1687-9724","issn":["1687-9724","1687-9732"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319869","host_organization_name":"Hindawi Publishing Corporation","host_organization_lineage":["https://openalex.org/P4310319869"],"host_organization_lineage_names":["Hindawi Publishing Corporation"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Applied Computational Intelligence and Soft Computing","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"http://downloads.hindawi.com/journals/acisc/2017/4019213.pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5100339621","display_name":"Xiaoqiang Li","orcid":"https://orcid.org/0000-0001-7243-2783"},"institutions":[{"id":"https://openalex.org/I141962983","display_name":"Shanghai University of Engineering Science","ror":"https://ror.org/0557b9y08","country_code":"CN","type":"education","lineage":["https://openalex.org/I141962983"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Xiaoqiang Li","raw_affiliation_strings":["School of Computer Engineering and Sciences, Shanghai University, Shanghai 200444, China"],"raw_orcid":"https://orcid.org/0000-0001-7243-2783","affiliations":[{"raw_affiliation_string":"School of Computer Engineering and Sciences, Shanghai University, Shanghai 200444, China","institution_ids":["https://openalex.org/I141962983"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5115595725","display_name":"Dan Wang","orcid":"https://orcid.org/0009-0001-7259-662X"},"institutions":[{"id":"https://openalex.org/I141962983","display_name":"Shanghai University of Engineering Science","ror":"https://ror.org/0557b9y08","country_code":"CN","type":"education","lineage":["https://openalex.org/I141962983"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Dan Wang","raw_affiliation_strings":["School of Computer Engineering and Sciences, Shanghai University, Shanghai 200444, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Computer Engineering and Sciences, Shanghai University, Shanghai 200444, China","institution_ids":["https://openalex.org/I141962983"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100343725","display_name":"Yin Zhang","orcid":"https://orcid.org/0000-0002-6761-2269"},"institutions":[{"id":"https://openalex.org/I141962983","display_name":"Shanghai University of Engineering Science","ror":"https://ror.org/0557b9y08","country_code":"CN","type":"education","lineage":["https://openalex.org/I141962983"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yin Zhang","raw_affiliation_strings":["School of Computer Engineering and Sciences, Shanghai University, Shanghai 200444, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Computer Engineering and Sciences, Shanghai University, Shanghai 200444, China","institution_ids":["https://openalex.org/I141962983"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":["https://openalex.org/A5100339621"],"corresponding_institution_ids":["https://openalex.org/I141962983"],"apc_list":{"value":925,"currency":"USD","value_usd":925},"apc_paid":{"value":925,"currency":"USD","value_usd":925},"fwci":0.1077,"has_fulltext":true,"cited_by_count":3,"citation_normalized_percentile":{"value":0.52731439,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":95},"biblio":{"volume":"2017","issue":null,"first_page":"1","last_page":"7"},"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/T11398","display_name":"Hand Gesture Recognition Systems","score":0.9944000244140625,"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"}},{"id":"https://openalex.org/T12740","display_name":"Gait Recognition and Analysis","score":0.9943000078201294,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/concatenation","display_name":"Concatenation (mathematics)","score":0.8144379258155823},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7883667349815369},{"id":"https://openalex.org/keywords/representation","display_name":"Representation (politics)","score":0.7189363241195679},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6857587099075317},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.6665784120559692},{"id":"https://openalex.org/keywords/motion","display_name":"Motion (physics)","score":0.6613149642944336},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.6085647344589233},{"id":"https://openalex.org/keywords/trajectory","display_name":"Trajectory","score":0.5857394933700562},{"id":"https://openalex.org/keywords/encoding","display_name":"Encoding (memory)","score":0.5761451721191406},{"id":"https://openalex.org/keywords/feature-vector","display_name":"Feature vector","score":0.4973795711994171},{"id":"https://openalex.org/keywords/action","display_name":"Action (physics)","score":0.49043533205986023},{"id":"https://openalex.org/keywords/optical-flow","display_name":"Optical flow","score":0.44356417655944824},{"id":"https://openalex.org/keywords/encode","display_name":"ENCODE","score":0.42505723237991333},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.35511505603790283},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.13743120431900024},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.08600282669067383}],"concepts":[{"id":"https://openalex.org/C87619178","wikidata":"https://www.wikidata.org/wiki/Q126002","display_name":"Concatenation (mathematics)","level":2,"score":0.8144379258155823},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7883667349815369},{"id":"https://openalex.org/C2776359362","wikidata":"https://www.wikidata.org/wiki/Q2145286","display_name":"Representation (politics)","level":3,"score":0.7189363241195679},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6857587099075317},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.6665784120559692},{"id":"https://openalex.org/C104114177","wikidata":"https://www.wikidata.org/wiki/Q79782","display_name":"Motion (physics)","level":2,"score":0.6613149642944336},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.6085647344589233},{"id":"https://openalex.org/C13662910","wikidata":"https://www.wikidata.org/wiki/Q193139","display_name":"Trajectory","level":2,"score":0.5857394933700562},{"id":"https://openalex.org/C125411270","wikidata":"https://www.wikidata.org/wiki/Q18653","display_name":"Encoding (memory)","level":2,"score":0.5761451721191406},{"id":"https://openalex.org/C83665646","wikidata":"https://www.wikidata.org/wiki/Q42139305","display_name":"Feature vector","level":2,"score":0.4973795711994171},{"id":"https://openalex.org/C2780791683","wikidata":"https://www.wikidata.org/wiki/Q846785","display_name":"Action (physics)","level":2,"score":0.49043533205986023},{"id":"https://openalex.org/C155542232","wikidata":"https://www.wikidata.org/wiki/Q736111","display_name":"Optical flow","level":3,"score":0.44356417655944824},{"id":"https://openalex.org/C66746571","wikidata":"https://www.wikidata.org/wiki/Q1134833","display_name":"ENCODE","level":3,"score":0.42505723237991333},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.35511505603790283},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.13743120431900024},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.08600282669067383},{"id":"https://openalex.org/C104317684","wikidata":"https://www.wikidata.org/wiki/Q7187","display_name":"Gene","level":2,"score":0.0},{"id":"https://openalex.org/C1276947","wikidata":"https://www.wikidata.org/wiki/Q333","display_name":"Astronomy","level":1,"score":0.0},{"id":"https://openalex.org/C55493867","wikidata":"https://www.wikidata.org/wiki/Q7094","display_name":"Biochemistry","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/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"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/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"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/C114614502","wikidata":"https://www.wikidata.org/wiki/Q76592","display_name":"Combinatorics","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/C94625758","wikidata":"https://www.wikidata.org/wiki/Q7163","display_name":"Politics","level":2,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1155/2017/4019213","is_oa":true,"landing_page_url":"https://doi.org/10.1155/2017/4019213","pdf_url":"http://downloads.hindawi.com/journals/acisc/2017/4019213.pdf","source":{"id":"https://openalex.org/S30680879","display_name":"Applied Computational Intelligence and Soft Computing","issn_l":"1687-9724","issn":["1687-9724","1687-9732"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319869","host_organization_name":"Hindawi Publishing Corporation","host_organization_lineage":["https://openalex.org/P4310319869"],"host_organization_lineage_names":["Hindawi Publishing Corporation"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Applied Computational Intelligence and Soft Computing","raw_type":"journal-article"},{"id":"pmh:oai:doaj.org/article:b124b4c8393c45ba8a698e8c9f47ae62","is_oa":true,"landing_page_url":"https://doaj.org/article/b124b4c8393c45ba8a698e8c9f47ae62","pdf_url":null,"source":{"id":"https://openalex.org/S4306401280","display_name":"DOAJ (DOAJ: Directory of Open Access Journals)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by-sa","license_id":"https://openalex.org/licenses/cc-by-sa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Applied Computational Intelligence and Soft Computing, Vol 2017 (2017)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.1155/2017/4019213","is_oa":true,"landing_page_url":"https://doi.org/10.1155/2017/4019213","pdf_url":"http://downloads.hindawi.com/journals/acisc/2017/4019213.pdf","source":{"id":"https://openalex.org/S30680879","display_name":"Applied Computational Intelligence and Soft Computing","issn_l":"1687-9724","issn":["1687-9724","1687-9732"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319869","host_organization_name":"Hindawi Publishing Corporation","host_organization_lineage":["https://openalex.org/P4310319869"],"host_organization_lineage_names":["Hindawi Publishing Corporation"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Applied Computational Intelligence and Soft Computing","raw_type":"journal-article"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W2765651845.pdf","grobid_xml":"https://content.openalex.org/works/W2765651845.grobid-xml"},"referenced_works_count":8,"referenced_works":["https://openalex.org/W136504859","https://openalex.org/W1489737693","https://openalex.org/W1829023357","https://openalex.org/W1901041506","https://openalex.org/W1984309565","https://openalex.org/W2009285864","https://openalex.org/W2020163092","https://openalex.org/W2068611653"],"related_works":["https://openalex.org/W2372020181","https://openalex.org/W2156531654","https://openalex.org/W1581723585","https://openalex.org/W4378714697","https://openalex.org/W2294330161","https://openalex.org/W2940472653","https://openalex.org/W2253069048","https://openalex.org/W2804553224","https://openalex.org/W140709781","https://openalex.org/W3214340375"],"abstract_inverted_index":{"The":[0,129],"dense":[1],"trajectories":[2,93],"and":[3,55,113,137,143],"low-level":[4,53,79,109],"local":[5,70],"features":[6,54,71],"are":[7,87],"widely":[8],"used":[9,120],"in":[10],"action":[11,24,46,103,127],"recognition":[12,47],"recently.":[13],"However,":[14],"most":[15],"of":[16,23,43,81,108],"these":[17],"methods":[18],"ignore":[19],"the":[20,27,32,50,63,78,84,91,100,106,124,133],"motion":[21,57,85,114],"part":[22,58,115],"which":[25,140],"is":[26,105,119],"key":[28],"factor":[29],"to":[30,76,123],"distinguish":[31],"different":[33],"human":[34],"action.":[35],"This":[36],"paper":[37],"proposes":[38],"a":[39],"new":[40],"two-layer":[41],"model":[42],"representation":[44,101],"for":[45,102,126],"by":[48,89],"describing":[49],"video":[51,104],"with":[52,72,94],"mid-level":[56],"model.":[59],"Firstly,":[60],"we":[61],"encode":[62],"compensated":[64],"flow":[65],"(<mml:math":[66],"xmlns:mml=\"http://www.w3.org/1998/Math/MathML\"":[67],"id=\"M1\"><mml:mrow><mml:mi>w</mml:mi></mml:mrow></mml:math>-flow)":[68],"trajectory-based":[69],"Fisher":[73],"Vector":[74],"(FV)":[75],"retain":[77],"characteristic":[80],"motion.":[82],"Then,":[83],"parts":[86],"extracted":[88],"clustering":[90],"similar":[92],"spatiotemporal":[95],"distance":[96],"between":[97],"trajectories.":[98],"Finally":[99],"concatenation":[107],"descriptors":[110],"encoding":[111,116],"vector":[112],"vector.":[117],"It":[118],"as":[121],"input":[122],"LibSVM":[125],"recognition.":[128],"experiment":[130],"results":[131],"demonstrate":[132],"improvements":[134],"on":[135],"J-HMDB":[136],"YouTube":[138],"datasets,":[139],"obtain":[141],"67.4%":[142],"87.6%,":[144],"respectively.":[145]},"counts_by_year":[{"year":2021,"cited_by_count":2},{"year":2020,"cited_by_count":1}],"updated_date":"2026-07-23T08:03:31.855105","created_date":"2025-10-10T00:00:00"}