{"id":"https://openalex.org/W2778574076","doi":"https://doi.org/10.1109/dicta.2017.8227395","title":"A Novel Orientation-Context Descriptor and Locality-Preserving Fisher Discrimination Dictionary Learning for Action Recognition","display_name":"A Novel Orientation-Context Descriptor and Locality-Preserving Fisher Discrimination Dictionary Learning for Action Recognition","publication_year":2017,"publication_date":"2017-11-01","ids":{"openalex":"https://openalex.org/W2778574076","doi":"https://doi.org/10.1109/dicta.2017.8227395","mag":"2778574076"},"language":"en","primary_location":{"id":"doi:10.1109/dicta.2017.8227395","is_oa":false,"landing_page_url":"https://doi.org/10.1109/dicta.2017.8227395","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2017 International Conference on Digital Image Computing: Techniques and Applications (DICTA)","raw_type":"proceedings-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/A5025454898","display_name":"Renlong Pan","orcid":null},"institutions":[{"id":"https://openalex.org/I4210095439","display_name":"Guizhou Minzu University","ror":"https://ror.org/00qm4t918","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210095439"]},{"id":"https://openalex.org/I90610280","display_name":"South China University of Technology","ror":"https://ror.org/0530pts50","country_code":"CN","type":"education","lineage":["https://openalex.org/I90610280"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Renlong Pan","raw_affiliation_strings":["School of Electronic and Information Engineering, South China University of Technology, Guangzhou, China","School of data science and Information Engineering, Guizhou Minzu University, Guiyang, China"],"affiliations":[{"raw_affiliation_string":"School of Electronic and Information Engineering, South China University of Technology, Guangzhou, China","institution_ids":["https://openalex.org/I90610280"]},{"raw_affiliation_string":"School of data science and Information Engineering, Guizhou Minzu University, Guiyang, China","institution_ids":["https://openalex.org/I4210095439"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5047427624","display_name":"Lihong Ma","orcid":"https://orcid.org/0000-0002-2732-6030"},"institutions":[{"id":"https://openalex.org/I90610280","display_name":"South China University of Technology","ror":"https://ror.org/0530pts50","country_code":"CN","type":"education","lineage":["https://openalex.org/I90610280"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Lihong Ma","raw_affiliation_strings":["School of Electronic and Information Engineering, South China University of Technology, Guangzhou, China"],"affiliations":[{"raw_affiliation_string":"School of Electronic and Information Engineering, South China University of Technology, Guangzhou, China","institution_ids":["https://openalex.org/I90610280"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5074964641","display_name":"Yupeng Zhan","orcid":null},"institutions":[{"id":"https://openalex.org/I90610280","display_name":"South China University of Technology","ror":"https://ror.org/0530pts50","country_code":"CN","type":"education","lineage":["https://openalex.org/I90610280"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yupeng Zhan","raw_affiliation_strings":["School of Electronic and Information Engineering, South China University of Technology, Guangzhou, China"],"affiliations":[{"raw_affiliation_string":"School of Electronic and Information Engineering, South China University of Technology, Guangzhou, China","institution_ids":["https://openalex.org/I90610280"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5065130706","display_name":"Shaozhi Cai","orcid":null},"institutions":[{"id":"https://openalex.org/I90610280","display_name":"South China University of Technology","ror":"https://ror.org/0530pts50","country_code":"CN","type":"education","lineage":["https://openalex.org/I90610280"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Shaozhi Cai","raw_affiliation_strings":["School of Electronic and Information Engineering, South China University of Technology, Guangzhou, China"],"affiliations":[{"raw_affiliation_string":"School of Electronic and Information Engineering, South China University of Technology, Guangzhou, China","institution_ids":["https://openalex.org/I90610280"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5025454898"],"corresponding_institution_ids":["https://openalex.org/I4210095439","https://openalex.org/I90610280"],"apc_list":null,"apc_paid":null,"fwci":0.0925,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.50286628,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":95},"biblio":{"volume":"76","issue":null,"first_page":"1","last_page":"8"},"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":0.9987999796867371,"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":0.9975000023841858,"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/discriminative-model","display_name":"Discriminative model","score":0.8481431007385254},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.8080713748931885},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6993019580841064},{"id":"https://openalex.org/keywords/neural-coding","display_name":"Neural coding","score":0.6722385883331299},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.647433876991272},{"id":"https://openalex.org/keywords/orientation","display_name":"Orientation (vector space)","score":0.6066206693649292},{"id":"https://openalex.org/keywords/coding","display_name":"Coding (social sciences)","score":0.5224553346633911},{"id":"https://openalex.org/keywords/linear-discriminant-analysis","display_name":"Linear discriminant analysis","score":0.5069684982299805},{"id":"https://openalex.org/keywords/context","display_name":"Context (archaeology)","score":0.4895518720149994},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.3807609975337982},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.23727086186408997}],"concepts":[{"id":"https://openalex.org/C97931131","wikidata":"https://www.wikidata.org/wiki/Q5282087","display_name":"Discriminative model","level":2,"score":0.8481431007385254},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.8080713748931885},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6993019580841064},{"id":"https://openalex.org/C77637269","wikidata":"https://www.wikidata.org/wiki/Q7002051","display_name":"Neural coding","level":2,"score":0.6722385883331299},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.647433876991272},{"id":"https://openalex.org/C16345878","wikidata":"https://www.wikidata.org/wiki/Q107472979","display_name":"Orientation (vector space)","level":2,"score":0.6066206693649292},{"id":"https://openalex.org/C179518139","wikidata":"https://www.wikidata.org/wiki/Q5140297","display_name":"Coding (social sciences)","level":2,"score":0.5224553346633911},{"id":"https://openalex.org/C69738355","wikidata":"https://www.wikidata.org/wiki/Q1228929","display_name":"Linear discriminant analysis","level":2,"score":0.5069684982299805},{"id":"https://openalex.org/C2779343474","wikidata":"https://www.wikidata.org/wiki/Q3109175","display_name":"Context (archaeology)","level":2,"score":0.4895518720149994},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.3807609975337982},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.23727086186408997},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"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/C151730666","wikidata":"https://www.wikidata.org/wiki/Q7205","display_name":"Paleontology","level":1,"score":0.0},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/dicta.2017.8227395","is_oa":false,"landing_page_url":"https://doi.org/10.1109/dicta.2017.8227395","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2017 International Conference on Digital Image Computing: Techniques and Applications (DICTA)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Reduced inequalities","id":"https://metadata.un.org/sdg/10","score":0.6800000071525574}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":17,"referenced_works":["https://openalex.org/W358070145","https://openalex.org/W1972868332","https://openalex.org/W1975521984","https://openalex.org/W1982405594","https://openalex.org/W1992405901","https://openalex.org/W2032768707","https://openalex.org/W2056380775","https://openalex.org/W2100556411","https://openalex.org/W2142194269","https://openalex.org/W2146566545","https://openalex.org/W2169852119","https://openalex.org/W2172207578","https://openalex.org/W2294811431","https://openalex.org/W2313341804","https://openalex.org/W2489713516","https://openalex.org/W2567014642","https://openalex.org/W2586564970"],"related_works":["https://openalex.org/W2965546495","https://openalex.org/W4389116644","https://openalex.org/W2153315159","https://openalex.org/W3103844505","https://openalex.org/W259157601","https://openalex.org/W4205463238","https://openalex.org/W2761785940","https://openalex.org/W2144332008","https://openalex.org/W2349204598","https://openalex.org/W2065031478"],"abstract_inverted_index":{"This":[0],"paper":[1],"presents":[2],"a":[3,11,104,128,177,182],"novel":[4],"local":[5,19,40,63,68,139],"posture":[6,69,125],"orientation-context":[7,60],"descriptor,":[8],"and":[9,81,89,118,143,169,205],"proposes":[10],"FDDL(Fisher":[12],"discriminant":[13],"dictionary":[14,106,130,168,175,179,184],"learning)":[15],"method":[16,194],"based":[17,133],"on":[18,134,203],"orientation-preserving(LOP-FDDL)":[20],"for":[21],"sparse":[22,150],"coding":[23,151,159],"in":[24,148],"action":[25,98,200],"recognition":[26,201],"task.":[27],"To":[28],"take":[29],"full":[30],"use":[31],"of":[32,38,46,54,62,70,86,91,113,120,138,153,167],"the":[33,36,39,44,47,50,55,67,84,114,123,135,149,158,165,174],"information":[34,85,115],"about":[35,116],"position":[37],"body-part":[41],"related":[42,199],"to":[43,65,95,102,163],"center":[45],"torso,":[48],"ant":[49],"spatial-temporal":[51],"shape":[52],"changes":[53],"human":[56,71],"body-parts,":[57],"we":[58,100,172],"extract":[59],"descriptors":[61,74],"body-parts":[64,121],"express":[66,97],"body.":[72],"Our":[73],"not":[75],"only":[76],"include":[77,83],"orientation":[78,186],"information,":[79],"but":[80],"also":[82],"geometric":[87],"structure":[88],"motion":[90],"body-parts.":[92],"In":[93],"order":[94],"accurately":[96],"sequences,":[99],"need":[101],"learn":[103],"discriminative":[105,129],"with":[107,185],"strong":[108],"expressive":[109],"power":[110],"which":[111,156,180],"consists":[112],"categories":[117],"orientations":[119],"from":[122],"extracted":[124],"descriptors.":[126],"Hence,":[127],"learning":[131,170],"model":[132],"manifold":[136],"constraint":[137],"orientation-preserving":[140],"is":[141,146,181,195],"proposed,":[142],"Fisher":[144],"Criteria":[145],"considered":[147],"stage":[152],"this":[154],"model,":[155],"makes":[157],"coefficients":[160],"discriminative.":[161],"Meanwhile,":[162],"improve":[164],"performance":[166],"efficiency,":[171],"initialize":[173],"as":[176],"class-structured":[178],"block-structured":[183],"information.":[187],"Experimental":[188],"results":[189],"demonstrate":[190],"that":[191],"our":[192],"proposed":[193],"better":[196],"than":[197],"other":[198],"methods":[202],"Weizmann":[204],"KTH":[206],"public":[207],"datasets.":[208]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2020,"cited_by_count":1}],"updated_date":"2026-03-27T05:58:40.876381","created_date":"2025-10-10T00:00:00"}
