{"id":"https://openalex.org/W4312899234","doi":"https://doi.org/10.1109/ijcnn55064.2022.9892906","title":"TBAC: Transformers Based Attention Consensus for Human Activity Recognition","display_name":"TBAC: Transformers Based Attention Consensus for Human Activity Recognition","publication_year":2022,"publication_date":"2022-07-18","ids":{"openalex":"https://openalex.org/W4312899234","doi":"https://doi.org/10.1109/ijcnn55064.2022.9892906"},"language":"en","primary_location":{"id":"doi:10.1109/ijcnn55064.2022.9892906","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ijcnn55064.2022.9892906","pdf_url":null,"source":{"id":"https://openalex.org/S4363607707","display_name":"2022 International Joint Conference on Neural Networks (IJCNN)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2022 International Joint Conference on Neural Networks (IJCNN)","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/A5101795498","display_name":"Santosh Kumar Yadav","orcid":"https://orcid.org/0000-0003-2230-4390"},"institutions":[{"id":"https://openalex.org/I41763900","display_name":"Central Electronics Engineering Research Institute","ror":"https://ror.org/01hh45364","country_code":"IN","type":"facility","lineage":["https://openalex.org/I2799351866","https://openalex.org/I41763900","https://openalex.org/I4210134808","https://openalex.org/I66760702"]},{"id":"https://openalex.org/I99364266","display_name":"Academy of Scientific and Innovative Research","ror":"https://ror.org/053rcsq61","country_code":"IN","type":"education","lineage":["https://openalex.org/I99364266"]}],"countries":["IN"],"is_corresponding":true,"raw_author_name":"Santosh Kumar Yadav","raw_affiliation_strings":["AcSIR, CSIR-CEERI,Pilani","AcSIR, CSIR-CEERI, Pilani"],"affiliations":[{"raw_affiliation_string":"AcSIR, CSIR-CEERI,Pilani","institution_ids":["https://openalex.org/I41763900","https://openalex.org/I99364266"]},{"raw_affiliation_string":"AcSIR, CSIR-CEERI, Pilani","institution_ids":["https://openalex.org/I41763900","https://openalex.org/I99364266"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5010123700","display_name":"Shreyas Bhat Kera","orcid":null},"institutions":[{"id":"https://openalex.org/I4401200243","display_name":"Institut Teknologi dan Sains Mandala","ror":"https://ror.org/05xwv2r69","country_code":null,"type":"education","lineage":["https://openalex.org/I4401200243"]}],"countries":[],"is_corresponding":false,"raw_author_name":"Shreyas Bhat Kera","raw_affiliation_strings":["Birla Institute of Technology and Science"],"affiliations":[{"raw_affiliation_string":"Birla Institute of Technology and Science","institution_ids":["https://openalex.org/I4401200243"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5019534706","display_name":"Raghurama Varma Gonela","orcid":null},"institutions":[{"id":"https://openalex.org/I4401200243","display_name":"Institut Teknologi dan Sains Mandala","ror":"https://ror.org/05xwv2r69","country_code":null,"type":"education","lineage":["https://openalex.org/I4401200243"]}],"countries":[],"is_corresponding":false,"raw_author_name":"Raghurama Varma Gonela","raw_affiliation_strings":["Birla Institute of Technology and Science"],"affiliations":[{"raw_affiliation_string":"Birla Institute of Technology and Science","institution_ids":["https://openalex.org/I4401200243"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5074284580","display_name":"Kamlesh Tiwari","orcid":"https://orcid.org/0000-0002-8866-9192"},"institutions":[{"id":"https://openalex.org/I4401200243","display_name":"Institut Teknologi dan Sains Mandala","ror":"https://ror.org/05xwv2r69","country_code":null,"type":"education","lineage":["https://openalex.org/I4401200243"]}],"countries":[],"is_corresponding":false,"raw_author_name":"Kamlesh Tiwari","raw_affiliation_strings":["Birla Institute of Technology and Science"],"affiliations":[{"raw_affiliation_string":"Birla Institute of Technology and Science","institution_ids":["https://openalex.org/I4401200243"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5024893234","display_name":"Hari Mohan Pandey","orcid":"https://orcid.org/0000-0002-9128-068X"},"institutions":[{"id":"https://openalex.org/I9300472","display_name":"Bournemouth University","ror":"https://ror.org/05wwcw481","country_code":"GB","type":"education","lineage":["https://openalex.org/I9300472"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Hari Mohan Pandey","raw_affiliation_strings":["Bournemouth University"],"affiliations":[{"raw_affiliation_string":"Bournemouth University","institution_ids":["https://openalex.org/I9300472"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5103562683","display_name":"Shaik Akbar","orcid":null},"institutions":[{"id":"https://openalex.org/I99364266","display_name":"Academy of Scientific and Innovative Research","ror":"https://ror.org/053rcsq61","country_code":"IN","type":"education","lineage":["https://openalex.org/I99364266"]},{"id":"https://openalex.org/I41763900","display_name":"Central Electronics Engineering Research Institute","ror":"https://ror.org/01hh45364","country_code":"IN","type":"facility","lineage":["https://openalex.org/I2799351866","https://openalex.org/I41763900","https://openalex.org/I4210134808","https://openalex.org/I66760702"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Shaik Ali Akbar","raw_affiliation_strings":["AcSIR, CSIR-CEERI,Pilani","AcSIR, CSIR-CEERI, Pilani"],"affiliations":[{"raw_affiliation_string":"AcSIR, CSIR-CEERI,Pilani","institution_ids":["https://openalex.org/I41763900","https://openalex.org/I99364266"]},{"raw_affiliation_string":"AcSIR, CSIR-CEERI, Pilani","institution_ids":["https://openalex.org/I41763900","https://openalex.org/I99364266"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":6,"corresponding_author_ids":["https://openalex.org/A5101795498"],"corresponding_institution_ids":["https://openalex.org/I41763900","https://openalex.org/I99364266"],"apc_list":null,"apc_paid":null,"fwci":0.0597,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.32661462,"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":0.9998999834060669,"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/T11512","display_name":"Anomaly Detection Techniques and Applications","score":0.9966999888420105,"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"}},{"id":"https://openalex.org/T11398","display_name":"Hand Gesture Recognition Systems","score":0.9922000169754028,"subfield":{"id":"https://openalex.org/subfields/1709","display_name":"Human-Computer Interaction"},"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":0.8172421455383301},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6259294748306274},{"id":"https://openalex.org/keywords/action-recognition","display_name":"Action recognition","score":0.49366721510887146},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.4751862585544586},{"id":"https://openalex.org/keywords/transformer","display_name":"Transformer","score":0.4713209271430969},{"id":"https://openalex.org/keywords/benchmark","display_name":"Benchmark (surveying)","score":0.46758341789245605},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.4305489957332611},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.4058005213737488}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8172421455383301},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6259294748306274},{"id":"https://openalex.org/C2987834672","wikidata":"https://www.wikidata.org/wiki/Q4677630","display_name":"Action recognition","level":3,"score":0.49366721510887146},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.4751862585544586},{"id":"https://openalex.org/C66322947","wikidata":"https://www.wikidata.org/wiki/Q11658","display_name":"Transformer","level":3,"score":0.4713209271430969},{"id":"https://openalex.org/C185798385","wikidata":"https://www.wikidata.org/wiki/Q1161707","display_name":"Benchmark (surveying)","level":2,"score":0.46758341789245605},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.4305489957332611},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.4058005213737488},{"id":"https://openalex.org/C165801399","wikidata":"https://www.wikidata.org/wiki/Q25428","display_name":"Voltage","level":2,"score":0.0},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0},{"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/C13280743","wikidata":"https://www.wikidata.org/wiki/Q131089","display_name":"Geodesy","level":1,"score":0.0},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.0},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/ijcnn55064.2022.9892906","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ijcnn55064.2022.9892906","pdf_url":null,"source":{"id":"https://openalex.org/S4363607707","display_name":"2022 International Joint Conference on Neural Networks (IJCNN)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2022 International Joint Conference on Neural Networks (IJCNN)","raw_type":"proceedings-article"},{"id":"pmh:oai:eprints.bournemouth.ac.uk:36995","is_oa":false,"landing_page_url":null,"pdf_url":null,"source":{"id":"https://openalex.org/S4306400187","display_name":"Bournemouth University Research Online (Bournemouth University)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I9300472","host_organization_name":"Bournemouth University","host_organization_lineage":["https://openalex.org/I9300472"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"acceptedVersion","is_accepted":true,"is_published":false,"raw_source_name":"","raw_type":"Conference or Workshop Item"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.7799999713897705,"display_name":"Peace, Justice and strong institutions","id":"https://metadata.un.org/sdg/16"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":61,"referenced_works":["https://openalex.org/W639708223","https://openalex.org/W1522734439","https://openalex.org/W1686810756","https://openalex.org/W1861492603","https://openalex.org/W2016053056","https://openalex.org/W2031489346","https://openalex.org/W2108598243","https://openalex.org/W2126579184","https://openalex.org/W2156303437","https://openalex.org/W2194775991","https://openalex.org/W2342662179","https://openalex.org/W2549139847","https://openalex.org/W2737258237","https://openalex.org/W2770804203","https://openalex.org/W2910628332","https://openalex.org/W2962934715","https://openalex.org/W2963091558","https://openalex.org/W2963150697","https://openalex.org/W2963155035","https://openalex.org/W2963315828","https://openalex.org/W2963351448","https://openalex.org/W2963524571","https://openalex.org/W2963563276","https://openalex.org/W2964309882","https://openalex.org/W2980037812","https://openalex.org/W2984287396","https://openalex.org/W2990152177","https://openalex.org/W2990503944","https://openalex.org/W3035303837","https://openalex.org/W3086541756","https://openalex.org/W3094502228","https://openalex.org/W3096609285","https://openalex.org/W3104096497","https://openalex.org/W3112016895","https://openalex.org/W3113370935","https://openalex.org/W3115390238","https://openalex.org/W3128626728","https://openalex.org/W3128636476","https://openalex.org/W3128966713","https://openalex.org/W3131500599","https://openalex.org/W3170874841","https://openalex.org/W3173271747","https://openalex.org/W4309793872","https://openalex.org/W4385245566","https://openalex.org/W6620707391","https://openalex.org/W6631456553","https://openalex.org/W6637373629","https://openalex.org/W6639102338","https://openalex.org/W6682864246","https://openalex.org/W6739901393","https://openalex.org/W6746034047","https://openalex.org/W6748481559","https://openalex.org/W6778485988","https://openalex.org/W6783541672","https://openalex.org/W6783944145","https://openalex.org/W6784333009","https://openalex.org/W6786429352","https://openalex.org/W6787254463","https://openalex.org/W6787349161","https://openalex.org/W6788023325","https://openalex.org/W6788135285"],"related_works":["https://openalex.org/W2378211422","https://openalex.org/W2745001401","https://openalex.org/W4321353415","https://openalex.org/W2130974462","https://openalex.org/W972276598","https://openalex.org/W4246352526","https://openalex.org/W2028665553","https://openalex.org/W4230315250","https://openalex.org/W4283332100","https://openalex.org/W4361193049"],"abstract_inverted_index":{"Human":[0],"Activity":[1],"Recognition":[2],"is":[3],"an":[4,90],"important":[5],"task":[6],"in":[7,85,136,184],"Computer":[8],"Vision":[9],"that":[10,129,175],"involves":[11],"the":[12,42,58,61,93,130,133,143,146,170,189,219,237],"utilization":[13],"of":[14,17,26,52,60,97,132,138,145,191,193,218],"spatio-temporal":[15],"features":[16],"videos":[18,27],"to":[19,92,186],"classify":[20],"human":[21,209],"actions.":[22],"The":[23,79,104,216,244],"temporal":[24,43],"portion":[25],"contains":[28,107],"vital":[29],"information":[30],"needed":[31],"for":[32],"accurate":[33],"classification.":[34],"However,":[35],"common":[36],"Deep":[37],"Learning":[38],"methods":[39],"simply":[40],"average":[41],"features,":[44],"thereby":[45],"giving":[46],"all":[47],"frames":[48],"equal":[49],"importance":[50],"irrespective":[51],"their":[53],"relevance,":[54],"which":[55],"negatively":[56],"impacts":[57],"accuracy":[59],"model.":[62],"To":[63],"combat":[64],"this":[65,68],"adverse":[66],"effect,":[67],"paper":[69],"proposes":[70],"a":[71,86,198],"novel":[72,199],"Transformer":[73],"Based":[74],"Attention":[75,115,123],"Consensus":[76,124,172,226],"(TBAC)":[77],"module.":[78],"TBAC":[80,105,134,221],"module":[81,106,135,222],"can":[82,141],"be":[83,247],"used":[84],"plug-and-play":[87],"manner":[88],"as":[89,152],"alternate":[91],"conventional":[94],"consensus":[95,140],"meth-ods":[96],"any":[98],"existing":[99],"video":[100],"action":[101,148,181,210],"recognition":[102,149,211],"network.":[103],"four":[108],"components:":[109],"(i)":[110],"Query":[111],"Sampling":[112],"Unit,":[113,117,120],"(ii)":[114],"Extraction":[116],"(iii)":[118],"Softening":[119],"and":[121,162,214,232,241],"(iv)":[122],"Unit.":[125],"Our":[126],"experiments":[127],"demonstrate":[128],"use":[131,217],"place":[137],"classical":[139],"improve":[142,187],"performance":[144,190],"CNN-based":[147],"models,":[150,196],"such":[151],"Channel":[153],"Separated":[154],"Convolutional":[155],"Network":[156,165],"(CSN),":[157],"Temporal":[158,163],"Shift":[159],"Module":[160],"(TSM),":[161],"Segment":[164],"(TSN).":[166],"We":[167],"also":[168],"propose":[169],"Decision":[171,225],"(DC)":[173],"algorithm":[174],"utilizes":[176],"multiple":[177],"independent":[178],"but":[179],"related":[180],"recognizer":[182],"models":[183],"order":[185],"upon":[188],"most":[192],"these":[194],"constituent":[195],"using":[197],"fusion":[200],"algorithm.":[201],"Results":[202],"have":[203],"been":[204],"obtained":[205],"on":[206,236],"two":[207,238],"benchmark":[208],"datasets,":[212],"HMDB51":[213,240],"HAA500.":[215],"proposed":[220],"along":[223],"with":[224,230],"achieves":[227],"state-of-the-art":[228],"performances,":[229],"85.23%":[231],"83.73%":[233],"classification":[234],"accuracies":[235],"databases":[239],"HAA500,":[242],"respectively.":[243],"code":[245],"will":[246],"made":[248],"publicly":[249],"available.":[250]},"counts_by_year":[{"year":2024,"cited_by_count":1}],"updated_date":"2026-04-05T17:49:38.594831","created_date":"2025-10-10T00:00:00"}