{"id":"https://openalex.org/W2540778173","doi":"https://doi.org/10.1109/aipr.2010.5759709","title":"Hull convexity defects features for human activity recognition","display_name":"Hull convexity defects features for human activity recognition","publication_year":2010,"publication_date":"2010-10-01","ids":{"openalex":"https://openalex.org/W2540778173","doi":"https://doi.org/10.1109/aipr.2010.5759709","mag":"2540778173"},"language":"en","primary_location":{"id":"doi:10.1109/aipr.2010.5759709","is_oa":false,"landing_page_url":"https://doi.org/10.1109/aipr.2010.5759709","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2010 IEEE 39th Applied Imagery Pattern Recognition Workshop (AIPR)","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/A5000720464","display_name":"Menatoallah M. Youssef","orcid":null},"institutions":[{"id":"https://openalex.org/I127591826","display_name":"University of Dayton","ror":"https://ror.org/021v3qy27","country_code":"US","type":"education","lineage":["https://openalex.org/I127591826"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Menatoallah M. Youssef","raw_affiliation_strings":["Department of Electrical and Computer Engineering, University of Dayton, USA"],"affiliations":[{"raw_affiliation_string":"Department of Electrical and Computer Engineering, University of Dayton, USA","institution_ids":["https://openalex.org/I127591826"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5033121119","display_name":"K. Vijayan Asari","orcid":null},"institutions":[{"id":"https://openalex.org/I127591826","display_name":"University of Dayton","ror":"https://ror.org/021v3qy27","country_code":"US","type":"education","lineage":["https://openalex.org/I127591826"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"K. Vijayan Asari","raw_affiliation_strings":["Department of Electrical and Computer Engineering, University of Dayton, USA"],"affiliations":[{"raw_affiliation_string":"Department of Electrical and Computer Engineering, University of Dayton, USA","institution_ids":["https://openalex.org/I127591826"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5017174703","display_name":"R. Cortland Tompkins","orcid":null},"institutions":[{"id":"https://openalex.org/I127591826","display_name":"University of Dayton","ror":"https://ror.org/021v3qy27","country_code":"US","type":"education","lineage":["https://openalex.org/I127591826"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"R. Cortland Tompkins","raw_affiliation_strings":["Department of Electrical and Computer Engineering, University of Dayton, USA"],"affiliations":[{"raw_affiliation_string":"Department of Electrical and Computer Engineering, University of Dayton, USA","institution_ids":["https://openalex.org/I127591826"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5064874272","display_name":"Jacob Foytik","orcid":null},"institutions":[{"id":"https://openalex.org/I127591826","display_name":"University of Dayton","ror":"https://ror.org/021v3qy27","country_code":"US","type":"education","lineage":["https://openalex.org/I127591826"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Jacob Foytik","raw_affiliation_strings":["Department of Electrical and Computer Engineering, University of Dayton, USA"],"affiliations":[{"raw_affiliation_string":"Department of Electrical and Computer Engineering, University of Dayton, USA","institution_ids":["https://openalex.org/I127591826"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5000720464"],"corresponding_institution_ids":["https://openalex.org/I127591826"],"apc_list":null,"apc_paid":null,"fwci":0.9561,"has_fulltext":false,"cited_by_count":8,"citation_normalized_percentile":{"value":0.79532042,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":96},"biblio":{"volume":"1","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":0.9998999834060669,"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":0.9998999834060669,"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":0.9987000226974487,"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/T10331","display_name":"Video Surveillance and Tracking Methods","score":0.9984999895095825,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/silhouette","display_name":"Silhouette","score":0.8597724437713623},{"id":"https://openalex.org/keywords/convexity","display_name":"Convexity","score":0.7699269652366638},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7022354006767273},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6950888633728027},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.6920398473739624},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.6497858762741089},{"id":"https://openalex.org/keywords/visual-hull","display_name":"Visual hull","score":0.6369606256484985},{"id":"https://openalex.org/keywords/hull","display_name":"Hull","score":0.6251140832901001},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.6003851294517517},{"id":"https://openalex.org/keywords/activity-recognition","display_name":"Activity recognition","score":0.5750243663787842},{"id":"https://openalex.org/keywords/principal-component-analysis","display_name":"Principal component analysis","score":0.5663635730743408},{"id":"https://openalex.org/keywords/convex-hull","display_name":"Convex hull","score":0.5566777586936951},{"id":"https://openalex.org/keywords/invariant","display_name":"Invariant (physics)","score":0.49530354142189026},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.4427068531513214},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.207961767911911},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.09643241763114929}],"concepts":[{"id":"https://openalex.org/C58103923","wikidata":"https://www.wikidata.org/wiki/Q2286025","display_name":"Silhouette","level":2,"score":0.8597724437713623},{"id":"https://openalex.org/C72134830","wikidata":"https://www.wikidata.org/wiki/Q5166524","display_name":"Convexity","level":2,"score":0.7699269652366638},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7022354006767273},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6950888633728027},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.6920398473739624},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.6497858762741089},{"id":"https://openalex.org/C2776863239","wikidata":"https://www.wikidata.org/wiki/Q7936601","display_name":"Visual hull","level":3,"score":0.6369606256484985},{"id":"https://openalex.org/C37423430","wikidata":"https://www.wikidata.org/wiki/Q6750281","display_name":"Hull","level":2,"score":0.6251140832901001},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.6003851294517517},{"id":"https://openalex.org/C121687571","wikidata":"https://www.wikidata.org/wiki/Q4677630","display_name":"Activity recognition","level":2,"score":0.5750243663787842},{"id":"https://openalex.org/C27438332","wikidata":"https://www.wikidata.org/wiki/Q2873","display_name":"Principal component analysis","level":2,"score":0.5663635730743408},{"id":"https://openalex.org/C206194317","wikidata":"https://www.wikidata.org/wiki/Q1138624","display_name":"Convex hull","level":3,"score":0.5566777586936951},{"id":"https://openalex.org/C190470478","wikidata":"https://www.wikidata.org/wiki/Q2370229","display_name":"Invariant (physics)","level":2,"score":0.49530354142189026},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.4427068531513214},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.207961767911911},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.09643241763114929},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"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/C199104240","wikidata":"https://www.wikidata.org/wiki/Q118291","display_name":"Marine engineering","level":1,"score":0.0},{"id":"https://openalex.org/C37914503","wikidata":"https://www.wikidata.org/wiki/Q156495","display_name":"Mathematical physics","level":1,"score":0.0},{"id":"https://openalex.org/C112680207","wikidata":"https://www.wikidata.org/wiki/Q714886","display_name":"Regular polygon","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},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0},{"id":"https://openalex.org/C106159729","wikidata":"https://www.wikidata.org/wiki/Q2294553","display_name":"Financial economics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/aipr.2010.5759709","is_oa":false,"landing_page_url":"https://doi.org/10.1109/aipr.2010.5759709","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2010 IEEE 39th Applied Imagery Pattern Recognition Workshop (AIPR)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/11","display_name":"Sustainable cities and communities","score":0.4300000071525574}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":39,"referenced_works":["https://openalex.org/W1576128429","https://openalex.org/W1902056527","https://openalex.org/W1944462942","https://openalex.org/W1966882736","https://openalex.org/W1971707777","https://openalex.org/W1989094231","https://openalex.org/W2010399676","https://openalex.org/W2032812057","https://openalex.org/W2038506056","https://openalex.org/W2043250162","https://openalex.org/W2065278673","https://openalex.org/W2090110089","https://openalex.org/W2103290524","https://openalex.org/W2103786432","https://openalex.org/W2112780892","https://openalex.org/W2113009376","https://openalex.org/W2113856781","https://openalex.org/W2114486396","https://openalex.org/W2116930734","https://openalex.org/W2117188423","https://openalex.org/W2127977416","https://openalex.org/W2135539681","https://openalex.org/W2138462850","https://openalex.org/W2140235142","https://openalex.org/W2143168422","https://openalex.org/W2145536551","https://openalex.org/W2147389064","https://openalex.org/W2149613906","https://openalex.org/W2153709262","https://openalex.org/W2155268664","https://openalex.org/W2155673554","https://openalex.org/W2160883193","https://openalex.org/W2165715280","https://openalex.org/W2168725126","https://openalex.org/W2172182983","https://openalex.org/W2245954179","https://openalex.org/W2399833138","https://openalex.org/W2584015752","https://openalex.org/W6680435597"],"related_works":["https://openalex.org/W2093768878","https://openalex.org/W1603403967","https://openalex.org/W2971834499","https://openalex.org/W2124135873","https://openalex.org/W2098148538","https://openalex.org/W2119118681","https://openalex.org/W2090825658","https://openalex.org/W2146724569","https://openalex.org/W2141694543","https://openalex.org/W2485683679"],"abstract_inverted_index":{"Activity":[0],"recognition":[1],"has":[2],"been":[3],"applied":[4],"to":[5,12,127,137,153,159],"many":[6],"varied":[7],"applications":[8],"ranging":[9],"from":[10,65],"surveillance":[11],"medical":[13],"analysis.":[14,116],"Interpreting":[15],"human":[16,143,162],"actions":[17,61,155],"is":[18,94,135,157],"often":[19],"a":[20,45,56,72,97,148],"complex":[21],"problem":[22],"for":[23,59,101,115],"computer":[24],"vision.":[25],"Actions":[26],"can":[27],"be":[28],"classified":[29,126],"through":[30,96],"shape,":[31],"motion":[32],"or":[33],"region":[34],"based":[35],"algorithms.":[36],"While":[37],"all":[38],"have":[39],"their":[40],"distinct":[41],"advantages,":[42],"we":[43,70],"consider":[44],"feature":[46,92,105,123],"extraction":[47],"approach":[48,54,146],"using":[49],"convexity":[50,67],"defects.":[51,68],"This":[52,145],"algorithmic":[53],"offers":[55,147],"unique":[57],"method":[58,152],"identifying":[60],"by":[62],"extracting":[63],"features":[64,100],"hull":[66,73,88],"Specifically,":[69],"create":[71],"around":[74],"the":[75,82,87,122,139],"segmented":[76],"silhouette":[77],"of":[78,99],"interest":[79],"in":[80,86],"which":[81],"regions":[83],"that":[84],"exist":[85],"are":[89,107,125],"recognized.":[90],"A":[91],"database":[93],"created":[95],"dataset":[98],"multiple":[102],"individuals.":[103],"These":[104],"points":[106,124],"registered":[108],"between":[109],"progressive":[110],"frames":[111],"and":[112,133,150,156,161],"then":[113],"normalized":[114],"Using":[117],"Principal":[118],"Component":[119],"Analysis":[120],"(PCA),":[121],"different":[128],"poses.":[129],"From":[130],"there":[131],"testing":[132],"training":[134],"performed":[136],"observe":[138],"classification":[140],"into":[141],"major":[142],"activities.":[144],"robust":[149],"accurate":[151],"identify":[154],"invariant":[158],"size":[160],"shape.":[163]},"counts_by_year":[{"year":2020,"cited_by_count":1},{"year":2018,"cited_by_count":2},{"year":2017,"cited_by_count":1},{"year":2015,"cited_by_count":1},{"year":2013,"cited_by_count":2}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}