{"id":"https://openalex.org/W2905003862","doi":"https://doi.org/10.1145/3293353.3293419","title":"Nrityantar","display_name":"Nrityantar","publication_year":2018,"publication_date":"2018-12-18","ids":{"openalex":"https://openalex.org/W2905003862","doi":"https://doi.org/10.1145/3293353.3293419","mag":"2905003862"},"language":"en","primary_location":{"id":"doi:10.1145/3293353.3293419","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3293353.3293419","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3293353.3293419?download=true","source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 11th Indian Conference on Computer Vision, Graphics and Image Processing","raw_type":"proceedings-article"},"type":"conference-paper","indexed_in":["arxiv","crossref"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://dl.acm.org/doi/pdf/10.1145/3293353.3293419?download=true","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":null,"display_name":"Vinay Kaushik","orcid":null},"institutions":[{"id":"https://openalex.org/I68891433","display_name":"Indian Institute of Technology Delhi","ror":"https://ror.org/049tgcd06","country_code":"IN","type":"education","lineage":["https://openalex.org/I68891433"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Vinay Kaushik","raw_affiliation_strings":["Dept. of Electrical Engineering, IIT Delhi"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Dept. of Electrical Engineering, IIT Delhi","institution_ids":["https://openalex.org/I68891433"]}]},{"author_position":"middle","author":{"id":null,"display_name":"Prerana Mukherjee","orcid":null},"institutions":[{"id":"https://openalex.org/I68891433","display_name":"Indian Institute of Technology Delhi","ror":"https://ror.org/049tgcd06","country_code":"IN","type":"education","lineage":["https://openalex.org/I68891433"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Prerana Mukherjee","raw_affiliation_strings":["Dept. of Electrical Engineering, IIT Delhi"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Dept. of Electrical Engineering, IIT Delhi","institution_ids":["https://openalex.org/I68891433"]}]},{"author_position":"last","author":{"id":null,"display_name":"Brejesh Lall","orcid":null},"institutions":[{"id":"https://openalex.org/I68891433","display_name":"Indian Institute of Technology Delhi","ror":"https://ror.org/049tgcd06","country_code":"IN","type":"education","lineage":["https://openalex.org/I68891433"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Brejesh Lall","raw_affiliation_strings":["Dept. of Electrical Engineering, IIT Delhi"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Dept. of Electrical Engineering, IIT Delhi","institution_ids":["https://openalex.org/I68891433"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I68891433"],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":10,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"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/T12290","display_name":"Human Motion and Animation","score":0.9879999756813049,"subfield":{"id":"https://openalex.org/subfields/2207","display_name":"Control and Systems 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/T12740","display_name":"Gait Recognition and Analysis","score":0.9847999811172485,"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/pose","display_name":"Pose","score":0.6747999787330627},{"id":"https://openalex.org/keywords/dance","display_name":"Dance","score":0.5806000232696533},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.43380001187324524},{"id":"https://openalex.org/keywords/feature-vector","display_name":"Feature vector","score":0.4302999973297119},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.4302000105381012},{"id":"https://openalex.org/keywords/kinematics","display_name":"Kinematics","score":0.41850000619888306},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.37940001487731934},{"id":"https://openalex.org/keywords/similarity","display_name":"Similarity (geometry)","score":0.37470000982284546},{"id":"https://openalex.org/keywords/object","display_name":"Object (grammar)","score":0.35929998755455017}],"concepts":[{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7199000120162964},{"id":"https://openalex.org/C52102323","wikidata":"https://www.wikidata.org/wiki/Q1671968","display_name":"Pose","level":2,"score":0.6747999787330627},{"id":"https://openalex.org/C147446459","wikidata":"https://www.wikidata.org/wiki/Q11639","display_name":"Dance","level":2,"score":0.5806000232696533},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5670999884605408},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.5309000015258789},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.43380001187324524},{"id":"https://openalex.org/C83665646","wikidata":"https://www.wikidata.org/wiki/Q42139305","display_name":"Feature vector","level":2,"score":0.4302999973297119},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.4302000105381012},{"id":"https://openalex.org/C39920418","wikidata":"https://www.wikidata.org/wiki/Q11476","display_name":"Kinematics","level":2,"score":0.41850000619888306},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.37940001487731934},{"id":"https://openalex.org/C103278499","wikidata":"https://www.wikidata.org/wiki/Q254465","display_name":"Similarity (geometry)","level":3,"score":0.37470000982284546},{"id":"https://openalex.org/C2781238097","wikidata":"https://www.wikidata.org/wiki/Q175026","display_name":"Object (grammar)","level":2,"score":0.35929998755455017},{"id":"https://openalex.org/C16345878","wikidata":"https://www.wikidata.org/wiki/Q107472979","display_name":"Orientation (vector space)","level":2,"score":0.34599998593330383},{"id":"https://openalex.org/C22100474","wikidata":"https://www.wikidata.org/wiki/Q4800952","display_name":"Articulated body pose estimation","level":4,"score":0.3449000120162964},{"id":"https://openalex.org/C2776359362","wikidata":"https://www.wikidata.org/wiki/Q2145286","display_name":"Representation (politics)","level":3,"score":0.3425000011920929},{"id":"https://openalex.org/C36613465","wikidata":"https://www.wikidata.org/wiki/Q4636322","display_name":"3D pose estimation","level":3,"score":0.33660000562667847},{"id":"https://openalex.org/C2778112365","wikidata":"https://www.wikidata.org/wiki/Q3511065","display_name":"Sequence (biology)","level":2,"score":0.31690001487731934},{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.3142000138759613},{"id":"https://openalex.org/C12426560","wikidata":"https://www.wikidata.org/wiki/Q189569","display_name":"Basis (linear algebra)","level":2,"score":0.31349998712539673},{"id":"https://openalex.org/C185429906","wikidata":"https://www.wikidata.org/wiki/Q1130160","display_name":"Estimator","level":2,"score":0.30869999527931213},{"id":"https://openalex.org/C126042441","wikidata":"https://www.wikidata.org/wiki/Q1324888","display_name":"Frame (networking)","level":2,"score":0.2863999903202057},{"id":"https://openalex.org/C2779696439","wikidata":"https://www.wikidata.org/wiki/Q7512811","display_name":"Signature (topology)","level":2,"score":0.28540000319480896},{"id":"https://openalex.org/C2779304628","wikidata":"https://www.wikidata.org/wiki/Q3503480","display_name":"Face (sociological concept)","level":2,"score":0.28360000252723694},{"id":"https://openalex.org/C2780801425","wikidata":"https://www.wikidata.org/wiki/Q5164392","display_name":"Construct (python library)","level":2,"score":0.27720001339912415},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.26989999413490295},{"id":"https://openalex.org/C59404180","wikidata":"https://www.wikidata.org/wiki/Q17013334","display_name":"Feature learning","level":2,"score":0.25690001249313354},{"id":"https://openalex.org/C195704467","wikidata":"https://www.wikidata.org/wiki/Q327968","display_name":"Facial expression","level":2,"score":0.250900000333786}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1145/3293353.3293419","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3293353.3293419","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3293353.3293419?download=true","source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 11th Indian Conference on Computer Vision, Graphics and Image Processing","raw_type":"proceedings-article"},{"id":"pmh:oai:arXiv.org:1812.05231","is_oa":true,"landing_page_url":"http://arxiv.org/abs/1812.05231","pdf_url":"https://arxiv.org/pdf/1812.05231","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":"2331-8422","issn":["2331-8422"],"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"text"}],"best_oa_location":{"id":"doi:10.1145/3293353.3293419","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3293353.3293419","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3293353.3293419?download=true","source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 11th Indian Conference on Computer Vision, Graphics and Image Processing","raw_type":"proceedings-article"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":12,"referenced_works":["https://openalex.org/W1525783482","https://openalex.org/W1927052826","https://openalex.org/W1983364832","https://openalex.org/W2112796928","https://openalex.org/W2156303437","https://openalex.org/W2163605009","https://openalex.org/W2165715280","https://openalex.org/W2507009361","https://openalex.org/W2952587893","https://openalex.org/W6600001191","https://openalex.org/W6600238479","https://openalex.org/W6655288279"],"related_works":[],"abstract_inverted_index":{"In":[0],"this":[1,55],"paper,":[2],"we":[3,57,81,150],"attempt":[4],"to":[5,15,66,97,117],"advance":[6],"the":[7,112,141,147,156,167,171,175,179,183,192],"research":[8],"work":[9],"done":[10,76],"in":[11,28,32,77,84,140,170,189],"human":[12],"action":[13],"recognition":[14],"a":[16,59,67,88,122,135,152],"rather":[17],"specialized":[18],"application":[19],"namely":[20],"Indian":[21],"Classical":[22],"Dance":[23],"(ICD)":[24],"classification.":[25],"The":[26,71],"variation":[27],"such":[29],"dance":[30,89,208],"forms":[31],"terms":[33],"of":[34,87,133,138,155,201],"hand":[35],"and":[36,43,103],"body":[37,180],"postures,":[38],"facial":[39],"expressions":[40],"or":[41],"emotions":[42],"head":[44],"orientation":[45],"makes":[46],"pose":[47,72,108,113,118,186],"estimation":[48,187],"an":[49,197],"extremely":[50],"challenging":[51],"task.":[52],"To":[53],"circumvent":[54],"problem,":[56],"construct":[58],"pose-oblivious":[60],"shape":[61],"signature":[62,73],"which":[63,144,165],"is":[64,75],"fed":[65],"sequence":[68,142],"learning":[69],"framework.":[70],"representation":[74],"two-fold":[78],"process.":[79],"First,":[80],"represent":[82],"person-pose":[83],"first":[85],"frame":[86],"video":[90],"using":[91,185],"symmetric":[92],"Spatial":[93],"Transformer":[94],"Networks":[95],"(STN)":[96],"extract":[98],"good":[99],"person":[100,107],"object":[101],"proposals":[102],"CNN-based":[104],"parallel":[105],"single":[106],"estimator":[109],"(SPPE).":[110],"Next,":[111],"basis":[114],"are":[115],"converted":[116],"flows":[119],"by":[120,129],"assigning":[121],"similarity":[123],"score":[124],"between":[125,162],"successive":[126],"poses":[127],"followed":[128],"non-maximal":[130],"suppression.":[131],"Instead":[132],"feeding":[134],"simple":[136],"chain":[137],"joints":[139,164,181],"learner":[143],"generally":[145],"hinders":[146],"network":[148,204],"performance":[149],"constitute":[151],"feature":[153],"vector":[154],"normalized":[157],"distance":[158],"vectors,":[159],"flow,":[160],"angles":[161],"anchor":[163],"captures":[166],"adjacency":[168],"configuration":[169],"skeletal":[172],"pattern.":[173],"Thus,":[174],"kinematic":[176],"relationship":[177],"amongst":[178],"across":[182],"frames":[184],"helps":[188],"better":[190],"establishing":[191],"spatio-temporal":[193],"dependencies.":[194],"We":[195],"present":[196],"exhaustive":[198],"empirical":[199],"evaluation":[200],"state-of-the-art":[202],"deep":[203],"based":[205],"methods":[206],"for":[207],"classification":[209],"on":[210],"ICD":[211],"dataset.":[212]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":2},{"year":2023,"cited_by_count":2},{"year":2022,"cited_by_count":2},{"year":2021,"cited_by_count":2}],"updated_date":"2026-07-28T07:46:37.118299","created_date":"2018-12-22T00:00:00"}
