{"id":"https://openalex.org/W2012166026","doi":"https://doi.org/10.1109/issnip.2014.6827689","title":"An optical flow feature and McFIS based approach for 3-dimensional human action recognition","display_name":"An optical flow feature and McFIS based approach for 3-dimensional human action recognition","publication_year":2014,"publication_date":"2014-04-01","ids":{"openalex":"https://openalex.org/W2012166026","doi":"https://doi.org/10.1109/issnip.2014.6827689","mag":"2012166026"},"language":"en","primary_location":{"id":"doi:10.1109/issnip.2014.6827689","is_oa":false,"landing_page_url":"https://doi.org/10.1109/issnip.2014.6827689","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2014 IEEE Ninth International Conference on Intelligent Sensors, Sensor Networks and Information Processing (ISSNIP)","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/A5073989080","display_name":"K. R. Subramanian","orcid":"https://orcid.org/0000-0002-5979-797X"},"institutions":[{"id":"https://openalex.org/I172675005","display_name":"Nanyang Technological University","ror":"https://ror.org/02e7b5302","country_code":"SG","type":"education","lineage":["https://openalex.org/I172675005"]}],"countries":["SG"],"is_corresponding":true,"raw_author_name":"Kartick Subramanian","raw_affiliation_strings":["School of Computer Engineering, Nanyang Technological University, Singapore","School of Computer Engineering, Nanyang Technological University,,Singapore"],"affiliations":[{"raw_affiliation_string":"School of Computer Engineering, Nanyang Technological University, Singapore","institution_ids":["https://openalex.org/I172675005"]},{"raw_affiliation_string":"School of Computer Engineering, Nanyang Technological University,,Singapore","institution_ids":["https://openalex.org/I172675005"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5062096014","display_name":"Venkatesh Babu Radhakrishnan","orcid":"https://orcid.org/0000-0002-1926-1804"},"institutions":[{"id":"https://openalex.org/I59270414","display_name":"Indian Institute of Science Bangalore","ror":"https://ror.org/04dese585","country_code":"IN","type":"education","lineage":["https://openalex.org/I59270414"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Venkatesh Babu Radhakrishnan","raw_affiliation_strings":["Supercomputer Education and Research Centre, Indian Institute of Science, Banglore, India"],"affiliations":[{"raw_affiliation_string":"Supercomputer Education and Research Centre, Indian Institute of Science, Banglore, India","institution_ids":["https://openalex.org/I59270414"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100765440","display_name":"Suresh Sundaram","orcid":"https://orcid.org/0000-0001-6275-0921"},"institutions":[{"id":"https://openalex.org/I172675005","display_name":"Nanyang Technological University","ror":"https://ror.org/02e7b5302","country_code":"SG","type":"education","lineage":["https://openalex.org/I172675005"]}],"countries":["SG"],"is_corresponding":false,"raw_author_name":"Suresh Sundaram","raw_affiliation_strings":["School of Computer Engineering, Nanyang Technological University, Singapore","School of Computer Engineering, Nanyang Technological University,,Singapore"],"affiliations":[{"raw_affiliation_string":"School of Computer Engineering, Nanyang Technological University, Singapore","institution_ids":["https://openalex.org/I172675005"]},{"raw_affiliation_string":"School of Computer Engineering, Nanyang Technological University,,Singapore","institution_ids":["https://openalex.org/I172675005"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5073989080"],"corresponding_institution_ids":["https://openalex.org/I172675005"],"apc_list":null,"apc_paid":null,"fwci":0.7316,"has_fulltext":false,"cited_by_count":3,"citation_normalized_percentile":{"value":0.74785592,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":96},"biblio":{"volume":"pp","issue":null,"first_page":"1","last_page":"6"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10812","display_name":"Human Pose and Action Recognition","score":0.9969000220298767,"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":0.9969000220298767,"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/T12676","display_name":"Machine Learning and ELM","score":0.9950000047683716,"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/T11307","display_name":"Domain Adaptation and Few-Shot Learning","score":0.9929999709129333,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/optical-flow","display_name":"Optical flow","score":0.8189054727554321},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.7543370127677917},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7428560853004456},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.6040000319480896},{"id":"https://openalex.org/keywords/decision-boundary","display_name":"Decision boundary","score":0.49697020649909973},{"id":"https://openalex.org/keywords/inference","display_name":"Inference","score":0.47835108637809753},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.45391446352005005},{"id":"https://openalex.org/keywords/classifier","display_name":"Classifier (UML)","score":0.44762253761291504},{"id":"https://openalex.org/keywords/component","display_name":"Component (thermodynamics)","score":0.42012858390808105},{"id":"https://openalex.org/keywords/sample","display_name":"Sample (material)","score":0.4167187809944153},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.11054521799087524}],"concepts":[{"id":"https://openalex.org/C155542232","wikidata":"https://www.wikidata.org/wiki/Q736111","display_name":"Optical flow","level":3,"score":0.8189054727554321},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7543370127677917},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7428560853004456},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.6040000319480896},{"id":"https://openalex.org/C42023084","wikidata":"https://www.wikidata.org/wiki/Q5249231","display_name":"Decision boundary","level":3,"score":0.49697020649909973},{"id":"https://openalex.org/C2776214188","wikidata":"https://www.wikidata.org/wiki/Q408386","display_name":"Inference","level":2,"score":0.47835108637809753},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.45391446352005005},{"id":"https://openalex.org/C95623464","wikidata":"https://www.wikidata.org/wiki/Q1096149","display_name":"Classifier (UML)","level":2,"score":0.44762253761291504},{"id":"https://openalex.org/C168167062","wikidata":"https://www.wikidata.org/wiki/Q1117970","display_name":"Component (thermodynamics)","level":2,"score":0.42012858390808105},{"id":"https://openalex.org/C198531522","wikidata":"https://www.wikidata.org/wiki/Q485146","display_name":"Sample (material)","level":2,"score":0.4167187809944153},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.11054521799087524},{"id":"https://openalex.org/C97355855","wikidata":"https://www.wikidata.org/wiki/Q11473","display_name":"Thermodynamics","level":1,"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/C43617362","wikidata":"https://www.wikidata.org/wiki/Q170050","display_name":"Chromatography","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/issnip.2014.6827689","is_oa":false,"landing_page_url":"https://doi.org/10.1109/issnip.2014.6827689","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2014 IEEE Ninth International Conference on Intelligent Sensors, Sensor Networks and Information Processing (ISSNIP)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/16","display_name":"Peace, Justice and strong institutions","score":0.7599999904632568}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":39,"referenced_works":["https://openalex.org/W1910567995","https://openalex.org/W1965037862","https://openalex.org/W1969885712","https://openalex.org/W2000475241","https://openalex.org/W2017136046","https://openalex.org/W2020163092","https://openalex.org/W2026131661","https://openalex.org/W2030842930","https://openalex.org/W2034328688","https://openalex.org/W2047361478","https://openalex.org/W2051832842","https://openalex.org/W2070857393","https://openalex.org/W2075427495","https://openalex.org/W2093964576","https://openalex.org/W2098339052","https://openalex.org/W2103822353","https://openalex.org/W2103914106","https://openalex.org/W2106772201","https://openalex.org/W2106996050","https://openalex.org/W2118877769","https://openalex.org/W2119821739","https://openalex.org/W2129013743","https://openalex.org/W2141804730","https://openalex.org/W2144276202","https://openalex.org/W2146634731","https://openalex.org/W2150765881","https://openalex.org/W2151863350","https://openalex.org/W2157166487","https://openalex.org/W2159311532","https://openalex.org/W2161969291","https://openalex.org/W2162635690","https://openalex.org/W2165715280","https://openalex.org/W2165729498","https://openalex.org/W3141200356","https://openalex.org/W4239510810","https://openalex.org/W4249279051","https://openalex.org/W6641361580","https://openalex.org/W6656866805","https://openalex.org/W6677548441"],"related_works":["https://openalex.org/W2357256365","https://openalex.org/W2924161931","https://openalex.org/W2981213860","https://openalex.org/W2019469476","https://openalex.org/W103332046","https://openalex.org/W598997827","https://openalex.org/W2580636385","https://openalex.org/W3127069801","https://openalex.org/W4294023778","https://openalex.org/W2407058613"],"abstract_inverted_index":{"We":[0],"propose":[1],"to":[2,42,77,96,144],"develop":[3,78],"a":[4,85,115,122,177],"3-D":[5,49,208],"optical":[6,50,60,108,209],"flow":[7,15,51,61,67,109,210],"features":[8,17,53,63,68],"based":[9,16,52,62,104,110,206,211],"human":[10],"action":[11,80,171],"recognition":[12,81,172],"system.":[13],"Optical":[14],"are":[18,54],"employed":[19],"here":[20],"since":[21],"they":[22,33],"can":[23,34],"capture":[24],"the":[25,58,65,98,129,136,139,145,149,153,169],"apparent":[26],"movement":[27],"in":[28,148],"object,":[29],"by":[30,56,155],"design.":[31],"Moreover,":[32],"represent":[35],"information":[36],"hierarchically":[37],"from":[38,71],"local":[39],"pixel":[40],"level":[41],"global":[43],"object":[44],"level.":[45],"In":[46,75],"this":[47],"work,":[48],"extracted":[55],"combining":[57],"2-D":[59],"with":[64,142,188],"depth":[66],"o":[69],"btained":[70],"d":[72],"epth":[73],"camera.":[74],"order":[76],"an":[79],"system,":[82],"we":[83],"employ":[84],"Meta-Cognitive":[86],"Neuro-Fuzzy":[87],"Inference":[88],"System":[89],"(McFIS).":[90],"The":[91,166,185],"aim":[92],"of":[93,114,138,168,182,201,207],"McFIS":[94,112,202],"is":[95,203],"find":[97],"decision":[99],"boundary":[100],"separating":[101],"different":[102],"classes":[103],"on":[105,157,176],"their":[106],"respective":[107],"features.":[111,212],"consists":[113],"neuro-fuzzy":[116],"inference":[117],"system":[118,173],"(cognitive":[119],"component)":[120],"and":[121,151,194],"self-regulatory":[123,132],"learning":[124,133,154,161,196],"mechanism":[125,134],"(meta-cognitive":[126],"component).":[127],"During":[128],"supervised":[130],"learning,":[131],"monitors":[135],"knowledge":[137,147],"current":[140],"sample":[141,158,160,163],"respect":[143],"existing":[146],"network":[150],"controls":[152],"deciding":[156],"deletion,":[159],"or":[162],"reserve":[164],"strategies.":[165],"performance":[167,186,200],"proposed":[170],"was":[174],"evaluated":[175],"proprietary":[178],"data":[179],"set":[180],"consisting":[181],"eight":[183],"subjects.":[184],"evaluation":[187],"standard":[189],"support":[190],"vector":[191],"machine":[192,197],"classifier":[193],"extreme":[195],"indicates":[198],"improved":[199],"recognizing":[204],"actions":[205]},"counts_by_year":[{"year":2015,"cited_by_count":2},{"year":2014,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
