{"id":"https://openalex.org/W2071130360","doi":"https://doi.org/10.1109/icassp.2013.6638303","title":"A heterogeneous dictionary model for representation and recognition of human actions","display_name":"A heterogeneous dictionary model for representation and recognition of human actions","publication_year":2013,"publication_date":"2013-05-01","ids":{"openalex":"https://openalex.org/W2071130360","doi":"https://doi.org/10.1109/icassp.2013.6638303","mag":"2071130360"},"language":"en","primary_location":{"id":"doi:10.1109/icassp.2013.6638303","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icassp.2013.6638303","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2013 IEEE International Conference on Acoustics, Speech and Signal Processing","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/A5026742436","display_name":"Rushil Anirudh","orcid":"https://orcid.org/0000-0002-4186-3502"},"institutions":[{"id":"https://openalex.org/I55732556","display_name":"Arizona State University","ror":"https://ror.org/03efmqc40","country_code":"US","type":"education","lineage":["https://openalex.org/I55732556"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Rushil Anirudh","raw_affiliation_strings":["School of Arts, Media & Engineering, School of Electrical, Computer, & Energy Engineering, Arizona State University, Tempe, AZ, USA","School of Arts Media and Engineering, Arizona State University, Tempe, AZ, USA"],"affiliations":[{"raw_affiliation_string":"School of Arts, Media & Engineering, School of Electrical, Computer, & Energy Engineering, Arizona State University, Tempe, AZ, USA","institution_ids":["https://openalex.org/I55732556"]},{"raw_affiliation_string":"School of Arts Media and Engineering, Arizona State University, Tempe, AZ, USA","institution_ids":["https://openalex.org/I55732556"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5081874896","display_name":"Karthikeyan Natesan Ramamurthy","orcid":"https://orcid.org/0000-0002-6021-5930"},"institutions":[{"id":"https://openalex.org/I55732556","display_name":"Arizona State University","ror":"https://ror.org/03efmqc40","country_code":"US","type":"education","lineage":["https://openalex.org/I55732556"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Karthikeyan Ramamurthy","raw_affiliation_strings":["School of Electrical, Computer, & Energy Engineering, Arizona State University, Tempe, AZ, USA","Sch. of Electr. Comput. & Energy Eng, Arizona State Univ., Tempe, AZ, USA"],"affiliations":[{"raw_affiliation_string":"School of Electrical, Computer, & Energy Engineering, Arizona State University, Tempe, AZ, USA","institution_ids":["https://openalex.org/I55732556"]},{"raw_affiliation_string":"Sch. of Electr. Comput. & Energy Eng, Arizona State Univ., Tempe, AZ, USA","institution_ids":["https://openalex.org/I55732556"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5046632395","display_name":"Jayaraman J. Thiagarajan","orcid":"https://orcid.org/0000-0002-8517-5816"},"institutions":[{"id":"https://openalex.org/I55732556","display_name":"Arizona State University","ror":"https://ror.org/03efmqc40","country_code":"US","type":"education","lineage":["https://openalex.org/I55732556"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Jayaraman J. Thiagarajan","raw_affiliation_strings":["School of Electrical, Computer, & Energy Engineering, Arizona State University, Tempe, AZ, USA","Sch. of Electr. Comput. & Energy Eng, Arizona State Univ., Tempe, AZ, USA"],"affiliations":[{"raw_affiliation_string":"School of Electrical, Computer, & Energy Engineering, Arizona State University, Tempe, AZ, USA","institution_ids":["https://openalex.org/I55732556"]},{"raw_affiliation_string":"Sch. of Electr. Comput. & Energy Eng, Arizona State Univ., Tempe, AZ, USA","institution_ids":["https://openalex.org/I55732556"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5062945520","display_name":"Pavan Turaga","orcid":"https://orcid.org/0000-0002-5263-5943"},"institutions":[{"id":"https://openalex.org/I55732556","display_name":"Arizona State University","ror":"https://ror.org/03efmqc40","country_code":"US","type":"education","lineage":["https://openalex.org/I55732556"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Pavan Turaga","raw_affiliation_strings":["School of Arts, Media & Engineering, School of Electrical, Computer, & Energy Engineering, Arizona State University, Tempe, AZ, USA","School of Arts Media and Engineering, Arizona State University, Tempe, AZ, USA"],"affiliations":[{"raw_affiliation_string":"School of Arts, Media & Engineering, School of Electrical, Computer, & Energy Engineering, Arizona State University, Tempe, AZ, USA","institution_ids":["https://openalex.org/I55732556"]},{"raw_affiliation_string":"School of Arts Media and Engineering, Arizona State University, Tempe, AZ, USA","institution_ids":["https://openalex.org/I55732556"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5074371899","display_name":"Andreas Spanias","orcid":"https://orcid.org/0000-0003-0306-9348"},"institutions":[{"id":"https://openalex.org/I55732556","display_name":"Arizona State University","ror":"https://ror.org/03efmqc40","country_code":"US","type":"education","lineage":["https://openalex.org/I55732556"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Andreas Spanias","raw_affiliation_strings":["School of Electrical, Computer, & Energy Engineering, Arizona State University, Tempe, AZ, USA","Sch. of Electr. Comput. & Energy Eng, Arizona State Univ., Tempe, AZ, USA"],"affiliations":[{"raw_affiliation_string":"School of Electrical, Computer, & Energy Engineering, Arizona State University, Tempe, AZ, USA","institution_ids":["https://openalex.org/I55732556"]},{"raw_affiliation_string":"Sch. of Electr. Comput. & Energy Eng, Arizona State Univ., Tempe, AZ, USA","institution_ids":["https://openalex.org/I55732556"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5026742436"],"corresponding_institution_ids":["https://openalex.org/I55732556"],"apc_list":null,"apc_paid":null,"fwci":0.5443,"has_fulltext":false,"cited_by_count":3,"citation_normalized_percentile":{"value":0.71112638,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":94},"biblio":{"volume":"54","issue":null,"first_page":"3472","last_page":"3476"},"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":0.9997000098228455,"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/T11512","display_name":"Anomaly Detection Techniques and Applications","score":0.9980999827384949,"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/computer-science","display_name":"Computer science","score":0.7132449746131897},{"id":"https://openalex.org/keywords/representation","display_name":"Representation (politics)","score":0.6997052431106567},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.6199086308479309},{"id":"https://openalex.org/keywords/k-svd","display_name":"K-SVD","score":0.6023446321487427},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5900015234947205},{"id":"https://openalex.org/keywords/subspace-topology","display_name":"Subspace topology","score":0.5376049280166626},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.5280854105949402},{"id":"https://openalex.org/keywords/generative-model","display_name":"Generative model","score":0.509743869304657},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.5053761601448059},{"id":"https://openalex.org/keywords/cluster-analysis","display_name":"Cluster analysis","score":0.5032362341880798},{"id":"https://openalex.org/keywords/hidden-markov-model","display_name":"Hidden Markov model","score":0.49735739827156067},{"id":"https://openalex.org/keywords/affine-transformation","display_name":"Affine transformation","score":0.4916234612464905},{"id":"https://openalex.org/keywords/sparse-approximation","display_name":"Sparse approximation","score":0.47007042169570923},{"id":"https://openalex.org/keywords/generative-grammar","display_name":"Generative grammar","score":0.4498462378978729},{"id":"https://openalex.org/keywords/feature-vector","display_name":"Feature vector","score":0.44831281900405884},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.19674691557884216}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7132449746131897},{"id":"https://openalex.org/C2776359362","wikidata":"https://www.wikidata.org/wiki/Q2145286","display_name":"Representation (politics)","level":3,"score":0.6997052431106567},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.6199086308479309},{"id":"https://openalex.org/C154771677","wikidata":"https://www.wikidata.org/wiki/Q17098361","display_name":"K-SVD","level":3,"score":0.6023446321487427},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5900015234947205},{"id":"https://openalex.org/C32834561","wikidata":"https://www.wikidata.org/wiki/Q660730","display_name":"Subspace topology","level":2,"score":0.5376049280166626},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5280854105949402},{"id":"https://openalex.org/C167966045","wikidata":"https://www.wikidata.org/wiki/Q5532625","display_name":"Generative model","level":3,"score":0.509743869304657},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.5053761601448059},{"id":"https://openalex.org/C73555534","wikidata":"https://www.wikidata.org/wiki/Q622825","display_name":"Cluster analysis","level":2,"score":0.5032362341880798},{"id":"https://openalex.org/C23224414","wikidata":"https://www.wikidata.org/wiki/Q176769","display_name":"Hidden Markov model","level":2,"score":0.49735739827156067},{"id":"https://openalex.org/C92757383","wikidata":"https://www.wikidata.org/wiki/Q382497","display_name":"Affine transformation","level":2,"score":0.4916234612464905},{"id":"https://openalex.org/C124066611","wikidata":"https://www.wikidata.org/wiki/Q28684319","display_name":"Sparse approximation","level":2,"score":0.47007042169570923},{"id":"https://openalex.org/C39890363","wikidata":"https://www.wikidata.org/wiki/Q36108","display_name":"Generative grammar","level":2,"score":0.4498462378978729},{"id":"https://openalex.org/C83665646","wikidata":"https://www.wikidata.org/wiki/Q42139305","display_name":"Feature vector","level":2,"score":0.44831281900405884},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.19674691557884216},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"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/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/C17744445","wikidata":"https://www.wikidata.org/wiki/Q36442","display_name":"Political science","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/C202444582","wikidata":"https://www.wikidata.org/wiki/Q837863","display_name":"Pure mathematics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icassp.2013.6638303","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icassp.2013.6638303","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2013 IEEE International Conference on Acoustics, Speech and Signal Processing","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":18,"referenced_works":["https://openalex.org/W1976917750","https://openalex.org/W2021873527","https://openalex.org/W2056380775","https://openalex.org/W2068376131","https://openalex.org/W2110771362","https://openalex.org/W2128638419","https://openalex.org/W2128730107","https://openalex.org/W2129812935","https://openalex.org/W2138019504","https://openalex.org/W2144481990","https://openalex.org/W2146634731","https://openalex.org/W2160547390","https://openalex.org/W2160675703","https://openalex.org/W2161566726","https://openalex.org/W2165168736","https://openalex.org/W2953139536","https://openalex.org/W6678757208","https://openalex.org/W6683560012"],"related_works":["https://openalex.org/W2099321050","https://openalex.org/W2890952311","https://openalex.org/W2047275718","https://openalex.org/W2509955295","https://openalex.org/W2034957211","https://openalex.org/W110819671","https://openalex.org/W2388952560","https://openalex.org/W2149282631","https://openalex.org/W2011611369","https://openalex.org/W2204991413"],"abstract_inverted_index":{"In":[0],"this":[1,100],"paper,":[2],"we":[3,45,80,95],"consider":[4],"low-dimensional":[5],"and":[6,67,105],"sparse":[7],"representation":[8,104],"models":[9],"for":[10,91],"human":[11,28,92,108],"actions,":[12],"that":[13,27,51,82,110],"are":[14,111],"consistent":[15],"with":[16],"how":[17],"actions":[18,29],"evolve":[19],"in":[20,38,55,102,114],"high-dimensional":[21],"feature":[22,40],"spaces.":[23],"We":[24],"first":[25],"show":[26,81],"can":[30],"be":[31,59],"well":[32],"approximated":[33],"by":[34,64],"piecewise":[35],"linear":[36],"structures":[37],"the":[39,56,83,97,115],"space.":[41],"Based":[42],"on":[43],"this,":[44],"propose":[46],"a":[47,65,68,87],"new":[48],"dictionary":[49,57,85],"model":[50,90,101],"considers":[52],"each":[53],"atom":[54],"to":[58,73],"an":[60],"affine":[61],"subspace":[62],"defined":[63],"point":[66],"corresponding":[69],"line.":[70],"When":[71],"compared":[72],"centered":[74],"clustering":[75],"approaches":[76],"such":[77],"as":[78],"K-means,":[79],"proposed":[84],"is":[86],"better":[88],"generative":[89],"actions.":[93],"Furthermore,":[94],"demonstrate":[96],"utility":[98],"of":[99,107],"efficient":[103],"recognition":[106],"activities":[109],"not":[112],"available":[113],"training":[116],"set.":[117]},"counts_by_year":[{"year":2017,"cited_by_count":1},{"year":2016,"cited_by_count":1},{"year":2014,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
