{"id":"https://openalex.org/W3021777089","doi":"https://doi.org/10.1145/3293353.3293366","title":"A Temporal Activity Graph Kernel for Human Activity Classification","display_name":"A Temporal Activity Graph Kernel for Human Activity Classification","publication_year":2018,"publication_date":"2018-12-18","ids":{"openalex":"https://openalex.org/W3021777089","doi":"https://doi.org/10.1145/3293353.3293366","mag":"3021777089"},"language":"en","primary_location":{"id":"doi:10.1145/3293353.3293366","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3293353.3293366","pdf_url":null,"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":"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/A5041955376","display_name":"Shobhanjana Kalita","orcid":"https://orcid.org/0000-0001-5830-2501"},"institutions":[{"id":"https://openalex.org/I126601174","display_name":"Tezpur University","ror":"https://ror.org/005x56091","country_code":"IN","type":"education","lineage":["https://openalex.org/I126601174"]}],"countries":["IN"],"is_corresponding":true,"raw_author_name":"Shobhanjana Kalita","raw_affiliation_strings":["Dept of Computer Science &amp; Engg, Tezpur University, Tezpur, Assam"],"affiliations":[{"raw_affiliation_string":"Dept of Computer Science &amp; Engg, Tezpur University, Tezpur, Assam","institution_ids":["https://openalex.org/I126601174"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5103566301","display_name":"Arindam Karmakar","orcid":null},"institutions":[{"id":"https://openalex.org/I126601174","display_name":"Tezpur University","ror":"https://ror.org/005x56091","country_code":"IN","type":"education","lineage":["https://openalex.org/I126601174"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Arindam Karmakar","raw_affiliation_strings":["Dept of Computer Science &amp; Engg, Tezpur University, Tezpur, Assam"],"affiliations":[{"raw_affiliation_string":"Dept of Computer Science &amp; Engg, Tezpur University, Tezpur, Assam","institution_ids":["https://openalex.org/I126601174"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5083452335","display_name":"Shyamanta M. Hazarika","orcid":"https://orcid.org/0000-0003-4547-6013"},"institutions":[{"id":"https://openalex.org/I1317621060","display_name":"Indian Institute of Technology Guwahati","ror":"https://ror.org/0022nd079","country_code":"IN","type":"education","lineage":["https://openalex.org/I1317621060"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Shyamanta M. Hazarika","raw_affiliation_strings":["Dept of Mechanical Engg, IIT Guwahati, Guwahati, Assam"],"affiliations":[{"raw_affiliation_string":"Dept of Mechanical Engg, IIT Guwahati, Guwahati, Assam","institution_ids":["https://openalex.org/I1317621060"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5041955376"],"corresponding_institution_ids":["https://openalex.org/I126601174"],"apc_list":null,"apc_paid":null,"fwci":0.1045,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.50913175,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":94},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"8"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10812","display_name":"Human Pose and Action Recognition","score":0.9980000257492065,"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":0.9980000257492065,"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/T11714","display_name":"Multimodal Machine Learning Applications","score":0.9940999746322632,"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/T11596","display_name":"Constraint Satisfaction and Optimization","score":0.9872000217437744,"subfield":{"id":"https://openalex.org/subfields/1705","display_name":"Computer Networks and Communications"},"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":0.6644442081451416},{"id":"https://openalex.org/keywords/kernel","display_name":"Kernel (algebra)","score":0.5564784407615662},{"id":"https://openalex.org/keywords/graph","display_name":"Graph","score":0.5328928232192993},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4078238904476166},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.26159295439720154},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.21306884288787842},{"id":"https://openalex.org/keywords/discrete-mathematics","display_name":"Discrete mathematics","score":0.0956994891166687}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6644442081451416},{"id":"https://openalex.org/C74193536","wikidata":"https://www.wikidata.org/wiki/Q574844","display_name":"Kernel (algebra)","level":2,"score":0.5564784407615662},{"id":"https://openalex.org/C132525143","wikidata":"https://www.wikidata.org/wiki/Q141488","display_name":"Graph","level":2,"score":0.5328928232192993},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4078238904476166},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.26159295439720154},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.21306884288787842},{"id":"https://openalex.org/C118615104","wikidata":"https://www.wikidata.org/wiki/Q121416","display_name":"Discrete mathematics","level":1,"score":0.0956994891166687}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3293353.3293366","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3293353.3293366","pdf_url":null,"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"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Reduced inequalities","id":"https://metadata.un.org/sdg/10","score":0.4300000071525574}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":13,"referenced_works":["https://openalex.org/W7859433","https://openalex.org/W10916678","https://openalex.org/W22739956","https://openalex.org/W1970026646","https://openalex.org/W2038648092","https://openalex.org/W2122136744","https://openalex.org/W2152248690","https://openalex.org/W2161108669","https://openalex.org/W2162670331","https://openalex.org/W2286276551","https://openalex.org/W2529005704","https://openalex.org/W2684377705","https://openalex.org/W4249889216"],"related_works":["https://openalex.org/W3107474891","https://openalex.org/W4230772827","https://openalex.org/W4250047567","https://openalex.org/W1979779627","https://openalex.org/W3023581765","https://openalex.org/W2051277525","https://openalex.org/W2073616138","https://openalex.org/W2045426399","https://openalex.org/W2103444992","https://openalex.org/W3153938841"],"abstract_inverted_index":{"Human":[0],"activities":[1,84,198],"are":[2,16,32],"predominantly":[3],"spatio-temporal,":[4],"involving":[5],"spatial":[6,11,21,27,71,96],"changes":[7],"over":[8,104],"time.":[9,105],"Qualitative":[10],"relations":[12,97,125],"between":[13,98,126],"interacting":[14,30,101],"entities":[15,31,72],"often":[17],"used":[18,175,185],"to":[19,76,118,157],"describe":[20],"change.":[22],"To":[23],"derive":[24],"such":[25],"qualitative":[26],"relations,":[28],"the":[29,122,129,142,182,204,211,214,218],"approximated":[33],"as":[34,56],"a":[35,50,65,161,169,187],"single":[36,51],"bounding":[37,42,47,64],"box":[38,62],"or":[39],"set":[40,45],"of":[41,46,70,82,89,100,121,124,128,138,151,160,163,197],"boxes.":[43],"A":[44,132],"boxes":[48],"abstracting":[49],"entity":[52],"has":[53,73],"been":[54,74],"termed":[55],"an":[57,90],"extended":[58,102,130],"object;":[59],"where":[60],"each":[61],"is":[63,92,134,168,184,199],"component.":[66],"Extended":[67],"object":[68],"abstraction":[69],"shown":[75],"be":[77,174],"more":[78],"effective":[79],"for":[80,136,207],"representation":[81,116],"human":[83],"[10].":[85],"The":[86,146,165,192],"temporal":[87],"aspect":[88],"activity":[91],"characterized":[93],"through":[94],"changing":[95],"components":[99,127],"objects":[103],"In":[106],"this":[107],"paper,":[108],"we":[109],"propose":[110],"Temporal":[111],"Activity":[112],"Graph":[113],"(TAG)":[114],"based":[115,144,179,195],"model":[117],"keep":[119],"track":[120],"sequences":[123],"objects.":[131],"kernel":[133,148,167,178,183,194],"designed":[135],"classification":[137,196],"spatio-temporal":[139],"interactions":[140],"in":[141],"TAG":[143,147,166,193],"model.":[145],"uses":[149],"concepts":[150],"label":[152],"sequence":[153],"similarity":[154,159],"and":[155,217],"interestingness":[156],"compute":[158],"pair":[162],"TAGs.":[164],"generic":[170],"solution":[171],"that":[172],"can":[173],"with":[176,203],"any":[177],"method.":[180],"Here,":[181],"within":[186],"Support":[188],"Vector":[189],"Machine":[190],"classifier.":[191],"found":[200],"on":[201,210],"par":[202],"state-of-the-art":[205],"approaches":[206],"experiments":[208],"performed":[209],"Mind's":[212],"Eye,":[213],"UT":[215],"Interaction,":[216],"SBU":[219],"Kinect":[220],"Interaction":[221],"datasets.":[222]},"counts_by_year":[{"year":2019,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
