{"id":"https://openalex.org/W2429410245","doi":"https://doi.org/10.1109/isda.2015.7489193","title":"Structured Fisher vector encoding method for human action recognition","display_name":"Structured Fisher vector encoding method for human action recognition","publication_year":2015,"publication_date":"2015-12-01","ids":{"openalex":"https://openalex.org/W2429410245","doi":"https://doi.org/10.1109/isda.2015.7489193","mag":"2429410245"},"language":"en","primary_location":{"id":"doi:10.1109/isda.2015.7489193","is_oa":false,"landing_page_url":"https://doi.org/10.1109/isda.2015.7489193","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2015 15th International Conference on Intelligent Systems Design and Applications (ISDA)","raw_type":"proceedings-article"},"type":"conference-paper","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/A5061129746","display_name":"Manel Sekma","orcid":"https://orcid.org/0000-0002-1161-8389"},"institutions":[{"id":"https://openalex.org/I142899784","display_name":"University of Sfax","ror":"https://ror.org/04d4sd432","country_code":"TN","type":"education","lineage":["https://openalex.org/I142899784"]}],"countries":["TN"],"is_corresponding":false,"raw_author_name":"Manel Sekma","raw_affiliation_strings":["REGIM: Research Groups on Intelligent Machines, University of Sfax National School of Engineers (ENIS), Sfax, Tunisia"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"REGIM: Research Groups on Intelligent Machines, University of Sfax National School of Engineers (ENIS), Sfax, Tunisia","institution_ids":["https://openalex.org/I142899784"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5087327160","display_name":"Mahmoud Mejdoub","orcid":"https://orcid.org/0000-0002-9442-5784"},"institutions":[{"id":"https://openalex.org/I195631090","display_name":"Majmaah University","ror":"https://ror.org/01mcrnj60","country_code":"SA","type":"education","lineage":["https://openalex.org/I195631090"]}],"countries":["SA"],"is_corresponding":false,"raw_author_name":"Mahmoud Mejdoub","raw_affiliation_strings":["Department of computer science, Majmaah university, Al Majmaah, Riyadh Kingdom of Saudi Arabia","REGIM: Research Groups on Intelligent Machines, National School of Engineers (ENIS), Sfax, Tunisia"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of computer science, Majmaah university, Al Majmaah, Riyadh Kingdom of Saudi Arabia","institution_ids":["https://openalex.org/I195631090"]},{"raw_affiliation_string":"REGIM: Research Groups on Intelligent Machines, National School of Engineers (ENIS), Sfax, Tunisia","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5036168795","display_name":"Chokri Ben Amar","orcid":"https://orcid.org/0000-0002-0129-7577"},"institutions":[{"id":"https://openalex.org/I142899784","display_name":"University of Sfax","ror":"https://ror.org/04d4sd432","country_code":"TN","type":"education","lineage":["https://openalex.org/I142899784"]}],"countries":["TN"],"is_corresponding":false,"raw_author_name":"Chokri Ben Amar","raw_affiliation_strings":["REGIM: Research Groups on Intelligent Machines, University of Sfax National School of Engineers (ENIS), Sfax, Tunisia"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"REGIM: Research Groups on Intelligent Machines, University of Sfax National School of Engineers (ENIS), Sfax, Tunisia","institution_ids":["https://openalex.org/I142899784"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.2703,"has_fulltext":false,"cited_by_count":3,"citation_normalized_percentile":{"value":0.6352021,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":94},"biblio":{"volume":null,"issue":null,"first_page":"642","last_page":"647"},"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/T10331","display_name":"Video Surveillance and Tracking Methods","score":0.9961000084877014,"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":0.9958999752998352,"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/pooling","display_name":"Pooling","score":0.8058508634567261},{"id":"https://openalex.org/keywords/delaunay-triangulation","display_name":"Delaunay triangulation","score":0.7678263783454895},{"id":"https://openalex.org/keywords/encoding","display_name":"Encoding (memory)","score":0.7356516718864441},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6933456063270569},{"id":"https://openalex.org/keywords/representation","display_name":"Representation (politics)","score":0.6821534633636475},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6780509352684021},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.6706879138946533},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.4425579309463501},{"id":"https://openalex.org/keywords/feature-vector","display_name":"Feature vector","score":0.4307122230529785},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.34944820404052734},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.17188575863838196}],"concepts":[{"id":"https://openalex.org/C70437156","wikidata":"https://www.wikidata.org/wiki/Q7228652","display_name":"Pooling","level":2,"score":0.8058508634567261},{"id":"https://openalex.org/C68010082","wikidata":"https://www.wikidata.org/wiki/Q192445","display_name":"Delaunay triangulation","level":2,"score":0.7678263783454895},{"id":"https://openalex.org/C125411270","wikidata":"https://www.wikidata.org/wiki/Q18653","display_name":"Encoding (memory)","level":2,"score":0.7356516718864441},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6933456063270569},{"id":"https://openalex.org/C2776359362","wikidata":"https://www.wikidata.org/wiki/Q2145286","display_name":"Representation (politics)","level":3,"score":0.6821534633636475},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6780509352684021},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.6706879138946533},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.4425579309463501},{"id":"https://openalex.org/C83665646","wikidata":"https://www.wikidata.org/wiki/Q42139305","display_name":"Feature vector","level":2,"score":0.4307122230529785},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.34944820404052734},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.17188575863838196},{"id":"https://openalex.org/C199539241","wikidata":"https://www.wikidata.org/wiki/Q7748","display_name":"Law","level":1,"score":0.0},{"id":"https://openalex.org/C94625758","wikidata":"https://www.wikidata.org/wiki/Q7163","display_name":"Politics","level":2,"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/C17744445","wikidata":"https://www.wikidata.org/wiki/Q36442","display_name":"Political science","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}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/isda.2015.7489193","is_oa":false,"landing_page_url":"https://doi.org/10.1109/isda.2015.7489193","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2015 15th International Conference on Intelligent Systems Design and Applications (ISDA)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Sustainable cities and communities","id":"https://metadata.un.org/sdg/11","score":0.6200000047683716}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":28,"referenced_works":["https://openalex.org/W33363299","https://openalex.org/W136504859","https://openalex.org/W1211924006","https://openalex.org/W1492807824","https://openalex.org/W1576762698","https://openalex.org/W1621933475","https://openalex.org/W1850164289","https://openalex.org/W1966385142","https://openalex.org/W1996904744","https://openalex.org/W2002706836","https://openalex.org/W2012592962","https://openalex.org/W2022625376","https://openalex.org/W2039471474","https://openalex.org/W2049209908","https://openalex.org/W2068611653","https://openalex.org/W2080282247","https://openalex.org/W2085261163","https://openalex.org/W2097018403","https://openalex.org/W2105101328","https://openalex.org/W2126574503","https://openalex.org/W2126579184","https://openalex.org/W2131042978","https://openalex.org/W2163292664","https://openalex.org/W2404078529","https://openalex.org/W6627953756","https://openalex.org/W6629316757","https://openalex.org/W6684114947","https://openalex.org/W6713154854"],"related_works":["https://openalex.org/W2953234277","https://openalex.org/W2359979928","https://openalex.org/W2368353614","https://openalex.org/W2626256601","https://openalex.org/W2390369954","https://openalex.org/W1529719486","https://openalex.org/W2373917503","https://openalex.org/W1883162576","https://openalex.org/W2906423005","https://openalex.org/W147410782"],"abstract_inverted_index":{"This":[0],"paper":[1],"presents":[2],"the":[3,55,58,68,85,94,97],"structured":[4],"Fisher":[5],"vector":[6],"encoding":[7,47],"method,":[8],"a":[9,79],"new":[10],"video":[11,71],"representation":[12,27,56],"which":[13],"yields":[14],"an":[15],"improved":[16],"model":[17],"to":[18],"classical":[19],"FV":[20],"for":[21],"human":[22,86],"action":[23,87],"recognition.":[24],"Our":[25],"proposed":[26,98],"is":[28],"based":[29],"on":[30],"local":[31,50,74],"structural":[32],"organization":[33],"of":[34,39,76,96],"features":[35],"by":[36,49,66],"building":[37],"graphs":[38,75],"trajectories.":[40],"It":[41],"preserve":[42],"more":[43],"information":[44,63],"in":[45,57],"feature":[46],"process":[48],"spatial":[51],"pooling":[52],"and":[53,91],"refining":[54],"global":[59],"pooling.":[60],"Local":[61],"spatio-temporal":[62],"are":[64],"exploited":[65],"presenting":[67],"relationships":[69],"among":[70],"trajectories":[72,77],"as":[73],"using":[78,84],"multi-scale":[80],"Delaunay":[81],"triangulation.":[82],"Experiments":[83],"recognition":[88],"datasets":[89],"(Hollywood2":[90],"HMDB51)":[92],"show":[93],"effectiveness":[95],"approach.":[99]},"counts_by_year":[{"year":2019,"cited_by_count":1},{"year":2017,"cited_by_count":1},{"year":2016,"cited_by_count":1}],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2025-10-10T00:00:00"}