{"id":"https://openalex.org/W7160448088","doi":"https://doi.org/10.1109/lsp.2026.3690693","title":"TAPBViT: Temporal-Aware Partial Binarized Vision Transformer for Suspicious Activity Recognition","display_name":"TAPBViT: Temporal-Aware Partial Binarized Vision Transformer for Suspicious Activity Recognition","publication_year":2026,"publication_date":"2026-01-01","ids":{"openalex":"https://openalex.org/W7160448088","doi":"https://doi.org/10.1109/lsp.2026.3690693"},"language":null,"primary_location":{"id":"doi:10.1109/lsp.2026.3690693","is_oa":false,"landing_page_url":"https://doi.org/10.1109/lsp.2026.3690693","pdf_url":null,"source":{"id":"https://openalex.org/S120629676","display_name":"IEEE Signal Processing Letters","issn_l":"1070-9908","issn":["1070-9908","1558-2361"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Signal Processing Letters","raw_type":"journal-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/A5135517575","display_name":"Vinod Mahor","orcid":null},"institutions":[{"id":"https://openalex.org/I91277730","display_name":"Maulana Azad National Institute of Technology","ror":"https://ror.org/026vtd268","country_code":"IN","type":"education","lineage":["https://openalex.org/I91277730"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Vinod Mahor","raw_affiliation_strings":["Centre of Artificial Intelligence, Maulana Azad National Institute of Technology, Bhopal, India"],"raw_orcid":"https://orcid.org/0000-0002-2187-6920","affiliations":[{"raw_affiliation_string":"Centre of Artificial Intelligence, Maulana Azad National Institute of Technology, Bhopal, India","institution_ids":["https://openalex.org/I91277730"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5032170911","display_name":"Jaytrilok Choudhary","orcid":"https://orcid.org/0000-0002-8200-7403"},"institutions":[{"id":"https://openalex.org/I91277730","display_name":"Maulana Azad National Institute of Technology","ror":"https://ror.org/026vtd268","country_code":"IN","type":"education","lineage":["https://openalex.org/I91277730"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Jaytrilok Choudhary","raw_affiliation_strings":["Department of Computer Science and Engineering, Maulana Azad National Institute of Technology, Bhopal, India"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Computer Science and Engineering, Maulana Azad National Institute of Technology, Bhopal, India","institution_ids":["https://openalex.org/I91277730"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5054880944","display_name":"Dhirendra Pratap Singh","orcid":"https://orcid.org/0000-0001-5519-3928"},"institutions":[{"id":"https://openalex.org/I91277730","display_name":"Maulana Azad National Institute of Technology","ror":"https://ror.org/026vtd268","country_code":"IN","type":"education","lineage":["https://openalex.org/I91277730"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Dhirendra Pratap Singh","raw_affiliation_strings":["Department of Computer Science and Engineering, Maulana Azad National Institute of Technology, Bhopal, India"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Computer Science and Engineering, Maulana Azad National Institute of Technology, Bhopal, India","institution_ids":["https://openalex.org/I91277730"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I91277730"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.55280444,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"33","issue":null,"first_page":"2390","last_page":"2394"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10812","display_name":"Human Pose and Action Recognition","score":0.618399977684021,"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":0.618399977684021,"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/T10444","display_name":"Context-Aware Activity Recognition Systems","score":0.08590000122785568,"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/T10429","display_name":"EEG and Brain-Computer Interfaces","score":0.05550000071525574,"subfield":{"id":"https://openalex.org/subfields/2805","display_name":"Cognitive Neuroscience"},"field":{"id":"https://openalex.org/fields/28","display_name":"Neuroscience"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/activity-recognition","display_name":"Activity recognition","score":0.4823000133037567},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.4763000011444092},{"id":"https://openalex.org/keywords/transformer","display_name":"Transformer","score":0.4528000056743622},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.4255000054836273},{"id":"https://openalex.org/keywords/image-segmentation","display_name":"Image segmentation","score":0.39160001277923584},{"id":"https://openalex.org/keywords/machine-vision","display_name":"Machine vision","score":0.31380000710487366},{"id":"https://openalex.org/keywords/image-processing","display_name":"Image processing","score":0.2784999907016754}],"concepts":[{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.708899974822998},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7088000178337097},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6891999840736389},{"id":"https://openalex.org/C121687571","wikidata":"https://www.wikidata.org/wiki/Q4677630","display_name":"Activity recognition","level":2,"score":0.4823000133037567},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.4763000011444092},{"id":"https://openalex.org/C66322947","wikidata":"https://www.wikidata.org/wiki/Q11658","display_name":"Transformer","level":3,"score":0.4528000056743622},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.4255000054836273},{"id":"https://openalex.org/C124504099","wikidata":"https://www.wikidata.org/wiki/Q56933","display_name":"Image segmentation","level":3,"score":0.39160001277923584},{"id":"https://openalex.org/C5339829","wikidata":"https://www.wikidata.org/wiki/Q1425977","display_name":"Machine vision","level":2,"score":0.31380000710487366},{"id":"https://openalex.org/C28490314","wikidata":"https://www.wikidata.org/wiki/Q189436","display_name":"Speech recognition","level":1,"score":0.2806999981403351},{"id":"https://openalex.org/C9417928","wikidata":"https://www.wikidata.org/wiki/Q1070689","display_name":"Image processing","level":3,"score":0.2784999907016754},{"id":"https://openalex.org/C2776151529","wikidata":"https://www.wikidata.org/wiki/Q3045304","display_name":"Object detection","level":3,"score":0.27250000834465027},{"id":"https://openalex.org/C99498987","wikidata":"https://www.wikidata.org/wiki/Q2210247","display_name":"Noise (video)","level":3,"score":0.2630000114440918},{"id":"https://openalex.org/C36464697","wikidata":"https://www.wikidata.org/wiki/Q451553","display_name":"Visualization","level":2,"score":0.257999986410141},{"id":"https://openalex.org/C117623542","wikidata":"https://www.wikidata.org/wiki/Q621974","display_name":"Automatic target recognition","level":3,"score":0.25679999589920044},{"id":"https://openalex.org/C63479239","wikidata":"https://www.wikidata.org/wiki/Q7353546","display_name":"Robustness (evolution)","level":3,"score":0.25440001487731934},{"id":"https://openalex.org/C29265498","wikidata":"https://www.wikidata.org/wiki/Q7047719","display_name":"Noise measurement","level":3,"score":0.2526000142097473}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/lsp.2026.3690693","is_oa":false,"landing_page_url":"https://doi.org/10.1109/lsp.2026.3690693","pdf_url":null,"source":{"id":"https://openalex.org/S120629676","display_name":"IEEE Signal Processing Letters","issn_l":"1070-9908","issn":["1070-9908","1558-2361"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Signal Processing Letters","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Reduced inequalities","score":0.592278003692627,"id":"https://metadata.un.org/sdg/10"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":[],"abstract_inverted_index":{"Efficient":[0],"recognition":[1],"of":[2,120],"suspicious":[3],"activity":[4],"in":[5],"surveillance":[6],"videos":[7],"requires":[8],"reliable":[9],"temporal":[10,26,64,73,92,99,143],"modeling":[11],"under":[12],"strict":[13],"computational":[14,21,69,104],"constraints.":[15],"Although":[16],"uniform":[17],"binarization":[18],"significantly":[19],"reduces":[20],"complexity,":[22],"it":[23],"often":[24],"disrupts":[25],"feature":[27,65],"continuity,":[28],"which":[29],"is":[30],"critical":[31],"for":[32,54,151],"video-based":[33],"anomaly":[34],"detection.":[35],"This":[36,94],"letter":[37],"proposes":[38],"a":[39,48],"temporal-aware":[40],"partially":[41],"binarized":[42],"vision":[43],"transformer":[44],"(TAPBViT)":[45],"that":[46,89,116],"introduces":[47],"signal":[49],"driven":[50],"precision":[51,70,77,145],"allocation":[52,146],"strategy":[53],"spatiotemporal":[55],"transformers.":[56],"The":[57],"proposed":[58],"method":[59],"models":[60],"intermediate":[61],"representations":[62],"as":[63,147],"signals":[66],"and":[67,85,110,122,133],"assigns":[68],"according":[71],"to":[72,131],"sensitivity,":[74],"preserving":[75],"full":[76],"tempo":[78],"ralattention":[79],"layers":[80],"while":[81,101,125],"binarizing":[82],"spatial":[83],"projection":[84],"feed":[86],"forward":[87],"components":[88],"exhibit":[90],"lower":[91],"distortion.":[93],"selective":[95],"quantization":[96],"mitigates":[97],"quantization-induced":[98],"degradation":[100],"enabling":[102],"aggressive":[103],"reduction.":[105],"Experiments":[106],"on":[107,137],"the":[108],"UCF-Crime":[109],"UCSD":[111],"Ped2":[112],"datasets":[113],"demon":[114],"strate":[115],"TAPBViT":[117],"achieves":[118],"accuracies":[119],"92.67%":[121],"98.72%,":[123],"respectively,":[124],"reducing":[126],"binary":[127],"operations":[128],"by":[129],"up":[130],"10\u00d7":[132],"supporting":[134],"real-time":[135],"inference":[136],"edge":[138],"hardware.":[139],"These":[140],"results":[141],"establish":[142],"signal-guided":[144],"an":[148],"effective":[149],"principle":[150],"efficient":[152],"transformer-based":[153],"video":[154],"surveillance.":[155]},"counts_by_year":[],"updated_date":"2026-06-18T08:10:14.011955","created_date":"2026-05-07T00:00:00"}
