{"id":"https://openalex.org/W2069214315","doi":"https://doi.org/10.1109/vcip.2011.6115911","title":"Recognizing human actions using curvature estimation and NWFE-based histogram vectors","display_name":"Recognizing human actions using curvature estimation and NWFE-based histogram vectors","publication_year":2011,"publication_date":"2011-11-01","ids":{"openalex":"https://openalex.org/W2069214315","doi":"https://doi.org/10.1109/vcip.2011.6115911","mag":"2069214315"},"language":"en","primary_location":{"id":"doi:10.1109/vcip.2011.6115911","is_oa":false,"landing_page_url":"https://doi.org/10.1109/vcip.2011.6115911","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2011 Visual Communications and Image Processing (VCIP)","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/A5079984620","display_name":"Fu-Song Hsu","orcid":"https://orcid.org/0000-0001-9102-6801"},"institutions":[{"id":"https://openalex.org/I148099254","display_name":"National Chung Cheng University","ror":"https://ror.org/0028v3876","country_code":"TW","type":"education","lineage":["https://openalex.org/I148099254"]}],"countries":["TW"],"is_corresponding":true,"raw_author_name":"Fu-Song Hsu","raw_affiliation_strings":["Department of Computer Science and Information Engineering, National Chung Cheng University, Chiayi, Taiwan","Department of Computer Science and Information Engineering National Chung Cheng University Chiayi 621, Taiwan"],"affiliations":[{"raw_affiliation_string":"Department of Computer Science and Information Engineering, National Chung Cheng University, Chiayi, Taiwan","institution_ids":["https://openalex.org/I148099254"]},{"raw_affiliation_string":"Department of Computer Science and Information Engineering National Chung Cheng University Chiayi 621, Taiwan","institution_ids":["https://openalex.org/I148099254"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5089627062","display_name":"Cheng\u2010Hsien Lin","orcid":"https://orcid.org/0000-0001-6580-5457"},"institutions":[{"id":"https://openalex.org/I148099254","display_name":"National Chung Cheng University","ror":"https://ror.org/0028v3876","country_code":"TW","type":"education","lineage":["https://openalex.org/I148099254"]}],"countries":["TW"],"is_corresponding":false,"raw_author_name":"Cheng-Hsien Lin","raw_affiliation_strings":["Department of Computer Science and Information Engineering, National Chung Cheng University, Chiayi, Taiwan","Department of Computer Science and Information Engineering National Chung Cheng University Chiayi 621, Taiwan"],"affiliations":[{"raw_affiliation_string":"Department of Computer Science and Information Engineering, National Chung Cheng University, Chiayi, Taiwan","institution_ids":["https://openalex.org/I148099254"]},{"raw_affiliation_string":"Department of Computer Science and Information Engineering National Chung Cheng University Chiayi 621, Taiwan","institution_ids":["https://openalex.org/I148099254"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5101420358","display_name":"Wei-Yang Lin","orcid":"https://orcid.org/0000-0003-0895-2498"},"institutions":[{"id":"https://openalex.org/I148099254","display_name":"National Chung Cheng University","ror":"https://ror.org/0028v3876","country_code":"TW","type":"education","lineage":["https://openalex.org/I148099254"]}],"countries":["TW"],"is_corresponding":false,"raw_author_name":"Wei-Yang Lin","raw_affiliation_strings":["Department of Computer Science and Information Engineering, National Chung Cheng University, Chiayi, Taiwan","Department of Computer Science and Information Engineering National Chung Cheng University Chiayi 621, Taiwan"],"affiliations":[{"raw_affiliation_string":"Department of Computer Science and Information Engineering, National Chung Cheng University, Chiayi, Taiwan","institution_ids":["https://openalex.org/I148099254"]},{"raw_affiliation_string":"Department of Computer Science and Information Engineering National Chung Cheng University Chiayi 621, Taiwan","institution_ids":["https://openalex.org/I148099254"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5079984620"],"corresponding_institution_ids":["https://openalex.org/I148099254"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.13000063,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":94},"biblio":{"volume":"3","issue":null,"first_page":"1","last_page":"4"},"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":0.9979000091552734,"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":0.9979000091552734,"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/discriminative-model","display_name":"Discriminative model","score":0.7617102861404419},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.7451043128967285},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6736233234405518},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6566169857978821},{"id":"https://openalex.org/keywords/histogram","display_name":"Histogram","score":0.6468521952629089},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.6064745187759399},{"id":"https://openalex.org/keywords/action-recognition","display_name":"Action recognition","score":0.5716906785964966},{"id":"https://openalex.org/keywords/classifier","display_name":"Classifier (UML)","score":0.5186935663223267},{"id":"https://openalex.org/keywords/naive-bayes-classifier","display_name":"Naive Bayes classifier","score":0.4394628405570984},{"id":"https://openalex.org/keywords/feature-vector","display_name":"Feature vector","score":0.418251097202301},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.4152681827545166},{"id":"https://openalex.org/keywords/curvature","display_name":"Curvature","score":0.4112284183502197},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.2818976640701294},{"id":"https://openalex.org/keywords/support-vector-machine","display_name":"Support vector machine","score":0.2278052270412445}],"concepts":[{"id":"https://openalex.org/C97931131","wikidata":"https://www.wikidata.org/wiki/Q5282087","display_name":"Discriminative model","level":2,"score":0.7617102861404419},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.7451043128967285},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6736233234405518},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6566169857978821},{"id":"https://openalex.org/C53533937","wikidata":"https://www.wikidata.org/wiki/Q185020","display_name":"Histogram","level":3,"score":0.6468521952629089},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.6064745187759399},{"id":"https://openalex.org/C2987834672","wikidata":"https://www.wikidata.org/wiki/Q4677630","display_name":"Action recognition","level":3,"score":0.5716906785964966},{"id":"https://openalex.org/C95623464","wikidata":"https://www.wikidata.org/wiki/Q1096149","display_name":"Classifier (UML)","level":2,"score":0.5186935663223267},{"id":"https://openalex.org/C52001869","wikidata":"https://www.wikidata.org/wiki/Q812530","display_name":"Naive Bayes classifier","level":3,"score":0.4394628405570984},{"id":"https://openalex.org/C83665646","wikidata":"https://www.wikidata.org/wiki/Q42139305","display_name":"Feature vector","level":2,"score":0.418251097202301},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.4152681827545166},{"id":"https://openalex.org/C195065555","wikidata":"https://www.wikidata.org/wiki/Q214881","display_name":"Curvature","level":2,"score":0.4112284183502197},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.2818976640701294},{"id":"https://openalex.org/C12267149","wikidata":"https://www.wikidata.org/wiki/Q282453","display_name":"Support vector machine","level":2,"score":0.2278052270412445},{"id":"https://openalex.org/C2777212361","wikidata":"https://www.wikidata.org/wiki/Q5127848","display_name":"Class (philosophy)","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/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"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/vcip.2011.6115911","is_oa":false,"landing_page_url":"https://doi.org/10.1109/vcip.2011.6115911","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2011 Visual Communications and Image Processing (VCIP)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Reduced inequalities","id":"https://metadata.un.org/sdg/10","score":0.7200000286102295}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":17,"referenced_works":["https://openalex.org/W1972237611","https://openalex.org/W2010399676","https://openalex.org/W2013076218","https://openalex.org/W2043665634","https://openalex.org/W2109609054","https://openalex.org/W2112052518","https://openalex.org/W2116931983","https://openalex.org/W2118796925","https://openalex.org/W2121261432","https://openalex.org/W2122534450","https://openalex.org/W2158169396","https://openalex.org/W2159498975","https://openalex.org/W2163973188","https://openalex.org/W2165715280","https://openalex.org/W4244494905","https://openalex.org/W4320339642","https://openalex.org/W6676208019"],"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/W2182357018","https://openalex.org/W156213964","https://openalex.org/W2050960118"],"abstract_inverted_index":{"This":[0],"paper":[1],"presents":[2],"a":[3,78],"novel":[4],"scheme":[5,95,114],"for":[6],"human":[7,20,44,99,120],"action":[8,45,83,121],"recognition.":[9,84,122],"First":[10],"of":[11,38,59],"all,":[12],"we":[13,41,62,76],"employ":[14],"the":[15,26,49,57,64,72,89,98,112],"curvature":[16],"estimation":[17],"to":[18,24,55,70,81],"analyze":[19],"posture":[21],"patterns":[22],"and":[23,117],"yield":[25],"discriminative":[27],"feature":[28,31],"sequences.":[29],"The":[30,107],"sequences":[32],"are":[33],"further":[34],"represented":[35],"into":[36],"sets":[37],"strings.":[39],"Consequently,":[40],"can":[42,96],"solve":[43],"recognition":[46],"problem":[47],"by":[48],"string":[50,60,73],"matching":[51],"technique.":[52],"In":[53],"order":[54],"boost":[56],"performance":[58],"matching,":[61],"apply":[63],"Nonparametric":[65],"Weighted":[66],"Feature":[67],"Extraction":[68],"(NWFE)":[69],"compact":[71],"representation.":[74],"Finally,":[75],"train":[77],"Bayes":[79],"classifier":[80],"perform":[82],"Unlike":[85],"traditional":[86],"approaches":[87],"using":[88],"nearest":[90],"neighbor":[91],"rule,":[92],"our":[93],"proposed":[94,113],"classify":[97],"actions":[100],"more":[101],"efficiently":[102],"while":[103],"maintaining":[104],"high":[105],"accuracy.":[106],"experiment":[108],"results":[109],"show":[110],"that":[111],"is":[115],"efficient":[116],"accurate":[118],"in":[119]},"counts_by_year":[{"year":2016,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}