{"id":"https://openalex.org/W7131107916","doi":"https://doi.org/10.1109/iccvw69036.2025.00800","title":"Pose to Protect: Federated Skeleton-Based Anomaly Detection for Privacy-Conscious Video Surveillance","display_name":"Pose to Protect: Federated Skeleton-Based Anomaly Detection for Privacy-Conscious Video Surveillance","publication_year":2025,"publication_date":"2025-10-19","ids":{"openalex":"https://openalex.org/W7131107916","doi":"https://doi.org/10.1109/iccvw69036.2025.00800"},"language":null,"primary_location":{"id":"doi:10.1109/iccvw69036.2025.00800","is_oa":false,"landing_page_url":"https://doi.org/10.1109/iccvw69036.2025.00800","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2025 IEEE/CVF International Conference on Computer Vision Workshops (ICCVW)","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/A5107015129","display_name":"Dina Famouri","orcid":null},"institutions":[{"id":"https://openalex.org/I110378019","display_name":"Southern Illinois University Carbondale","ror":"https://ror.org/049kefs16","country_code":"US","type":"education","lineage":["https://openalex.org/I110378019","https://openalex.org/I2801502357"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Dina Famouri","raw_affiliation_strings":["Southern Illinois University Carbondale,Carbondale,IL,USA"],"affiliations":[{"raw_affiliation_string":"Southern Illinois University Carbondale,Carbondale,IL,USA","institution_ids":["https://openalex.org/I110378019"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5071571852","display_name":"Md Zarif Hossain","orcid":null},"institutions":[{"id":"https://openalex.org/I110378019","display_name":"Southern Illinois University Carbondale","ror":"https://ror.org/049kefs16","country_code":"US","type":"education","lineage":["https://openalex.org/I110378019","https://openalex.org/I2801502357"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Md Zarif Hossain","raw_affiliation_strings":["Southern Illinois University Carbondale,Carbondale,IL,USA"],"affiliations":[{"raw_affiliation_string":"Southern Illinois University Carbondale,Carbondale,IL,USA","institution_ids":["https://openalex.org/I110378019"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5077711449","display_name":"Ahmed Imteaj","orcid":"https://orcid.org/0000-0002-6975-3997"},"institutions":[{"id":"https://openalex.org/I63772739","display_name":"Florida Atlantic University","ror":"https://ror.org/05p8w6387","country_code":"US","type":"education","lineage":["https://openalex.org/I63772739"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Ahmed Imteaj","raw_affiliation_strings":["Florida Atlantic University,Boca Raton,FL,USA"],"affiliations":[{"raw_affiliation_string":"Florida Atlantic University,Boca Raton,FL,USA","institution_ids":["https://openalex.org/I63772739"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5107015129"],"corresponding_institution_ids":["https://openalex.org/I110378019"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.85409356,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"3545","last_page":"3553"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11598","display_name":"Internet Traffic Analysis and Secure E-voting","score":0.3871999979019165,"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"}},"topics":[{"id":"https://openalex.org/T11598","display_name":"Internet Traffic Analysis and Secure E-voting","score":0.3871999979019165,"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/T11498","display_name":"Security in Wireless Sensor Networks","score":0.10209999978542328,"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"}},{"id":"https://openalex.org/T11512","display_name":"Anomaly Detection Techniques and Applications","score":0.09510000050067902,"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/activity-recognition","display_name":"Activity recognition","score":0.5637000203132629},{"id":"https://openalex.org/keywords/raw-data","display_name":"Raw data","score":0.4921000003814697},{"id":"https://openalex.org/keywords/anomaly-detection","display_name":"Anomaly detection","score":0.4853000044822693},{"id":"https://openalex.org/keywords/activity-detection","display_name":"Activity detection","score":0.4674000144004822},{"id":"https://openalex.org/keywords/representation","display_name":"Representation (politics)","score":0.4512999951839447},{"id":"https://openalex.org/keywords/object-detection","display_name":"Object detection","score":0.4404999911785126},{"id":"https://openalex.org/keywords/noise","display_name":"Noise (video)","score":0.40869998931884766},{"id":"https://openalex.org/keywords/human-motion","display_name":"Human motion","score":0.32829999923706055}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7817999720573425},{"id":"https://openalex.org/C121687571","wikidata":"https://www.wikidata.org/wiki/Q4677630","display_name":"Activity recognition","level":2,"score":0.5637000203132629},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5375999808311462},{"id":"https://openalex.org/C132964779","wikidata":"https://www.wikidata.org/wiki/Q2110223","display_name":"Raw data","level":2,"score":0.4921000003814697},{"id":"https://openalex.org/C739882","wikidata":"https://www.wikidata.org/wiki/Q3560506","display_name":"Anomaly detection","level":2,"score":0.4853000044822693},{"id":"https://openalex.org/C2988656282","wikidata":"https://www.wikidata.org/wiki/Q4677630","display_name":"Activity detection","level":2,"score":0.4674000144004822},{"id":"https://openalex.org/C2776359362","wikidata":"https://www.wikidata.org/wiki/Q2145286","display_name":"Representation (politics)","level":3,"score":0.4512999951839447},{"id":"https://openalex.org/C2776151529","wikidata":"https://www.wikidata.org/wiki/Q3045304","display_name":"Object detection","level":3,"score":0.4404999911785126},{"id":"https://openalex.org/C99498987","wikidata":"https://www.wikidata.org/wiki/Q2210247","display_name":"Noise (video)","level":3,"score":0.40869998931884766},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.37779998779296875},{"id":"https://openalex.org/C2986578859","wikidata":"https://www.wikidata.org/wiki/Q657632","display_name":"Human motion","level":3,"score":0.32829999923706055},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.3228999972343445},{"id":"https://openalex.org/C104114177","wikidata":"https://www.wikidata.org/wiki/Q79782","display_name":"Motion (physics)","level":2,"score":0.3061000108718872},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.30379998683929443},{"id":"https://openalex.org/C95623464","wikidata":"https://www.wikidata.org/wiki/Q1096149","display_name":"Classifier (UML)","level":2,"score":0.30250000953674316},{"id":"https://openalex.org/C2776257435","wikidata":"https://www.wikidata.org/wiki/Q1576430","display_name":"Bandwidth (computing)","level":2,"score":0.295199990272522},{"id":"https://openalex.org/C106131492","wikidata":"https://www.wikidata.org/wiki/Q3072260","display_name":"Filter (signal processing)","level":2,"score":0.28850001096725464},{"id":"https://openalex.org/C51632099","wikidata":"https://www.wikidata.org/wiki/Q3985153","display_name":"Training set","level":2,"score":0.28349998593330383},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.27950000762939453},{"id":"https://openalex.org/C2780156472","wikidata":"https://www.wikidata.org/wiki/Q2355550","display_name":"Pedestrian detection","level":3,"score":0.27300000190734863},{"id":"https://openalex.org/C2780624872","wikidata":"https://www.wikidata.org/wiki/Q852453","display_name":"Motion detection","level":3,"score":0.26589998602867126},{"id":"https://openalex.org/C12725497","wikidata":"https://www.wikidata.org/wiki/Q810247","display_name":"Baseline (sea)","level":2,"score":0.2653999924659729},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.2529999911785126}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/iccvw69036.2025.00800","is_oa":false,"landing_page_url":"https://doi.org/10.1109/iccvw69036.2025.00800","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2025 IEEE/CVF International Conference on Computer Vision Workshops (ICCVW)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/5","score":0.4572128355503082,"display_name":"Gender equality"}],"awards":[{"id":"https://openalex.org/G3810788612","display_name":null,"funder_award_id":"CRII-IIS-RI-2348145","funder_id":"https://openalex.org/F4320306076","funder_display_name":"National Science Foundation"}],"funders":[{"id":"https://openalex.org/F4320306076","display_name":"National Science Foundation","ror":"https://ror.org/021nxhr62"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":19,"referenced_works":["https://openalex.org/W2064675550","https://openalex.org/W2338318698","https://openalex.org/W2753526808","https://openalex.org/W2767106145","https://openalex.org/W2962730651","https://openalex.org/W2963076818","https://openalex.org/W2963795951","https://openalex.org/W2995022099","https://openalex.org/W3021654819","https://openalex.org/W3037913917","https://openalex.org/W3129932124","https://openalex.org/W3181414820","https://openalex.org/W4312699393","https://openalex.org/W4385763767","https://openalex.org/W4391324012","https://openalex.org/W4401250052","https://openalex.org/W4401726212","https://openalex.org/W4401816616","https://openalex.org/W4402218653"],"related_works":[],"abstract_inverted_index":{"In":[0],"an":[1,60,103,119],"era":[2],"of":[3,31,77,100,106,171],"increasing":[4],"concern":[5],"over":[6],"data":[7],"privacy,":[8],"this":[9,166],"research":[10],"explores":[11],"a":[12,71,146],"privacy-preserving":[13],"framework":[14],"for":[15,177],"crime":[16,111,182],"detection":[17,183],"in":[18,130,184],"surveillance":[19,34,67,139,186],"video":[20],"by":[21],"combining":[22,172],"pose-based":[23],"activity":[24,79],"recognition":[25],"with":[26,51,118,175],"Federated":[27],"Learning":[28],"(FL).":[29],"Instead":[30],"processing":[32],"raw":[33,150],"footage,":[35],"which":[36],"raises":[37],"substantial":[38],"ethical,":[39],"legal,":[40],"and":[41,53,74,84,93,122,160,180],"storage":[42],"concerns,":[43],"our":[44],"approach":[45,136],"extracts":[46],"2D":[47],"human":[48,78,107],"pose":[49],"keypoints":[50],"OpenPose":[52],"feeds":[54],"these":[55],"compact,":[56],"appearance-agnostic":[57],"representations":[58,174],"into":[59],"LSTM-based":[61],"temporal":[62],"classifier.":[63],"Skeleton":[64],"features":[65],"from":[66],"videos":[68],"serve":[69],"as":[70,90],"simplified,":[72],"anonymous,":[73],"efficient":[75,181],"form":[76],"that":[80,124],"focuses":[81],"on":[82],"motion":[83],"filters":[85],"out":[86],"background":[87],"noise":[88],"such":[89],"lighting":[91],"variations":[92],"clutter.":[94],"We":[95],"show":[96],"how":[97],"the":[98,125,134,169],"use":[99],"skeletons":[101],"provides":[102],"informative":[104],"representation":[105],"activity,":[108],"enabling":[109,161],"effective":[110],"detection.":[112],"Further,":[113],"we":[114],"compared":[115],"centralized":[116],"training":[117],"FL":[120,135,176],"setup":[121],"showed":[123],"proposed":[126],"method":[127,153],"performs":[128],"well":[129],"both":[131],"settings.":[132],"Notably,":[133],"allows":[137],"multiple":[138],"devices":[140],"or":[141],"locations":[142],"to":[143],"collaboratively":[144],"train":[145],"model":[147],"without":[148],"sharing":[149],"data.":[151],"This":[152],"preserves":[154],"privacy":[155],"while":[156],"reducing":[157],"bandwidth":[158],"usage":[159],"distributed,":[162],"real-time":[163],"analysis.":[164],"Overall,":[165],"study":[167],"highlights":[168],"viability":[170],"skeleton-based":[173],"scalable,":[178],"secure,":[179],"real-world":[185],"systems.":[187]},"counts_by_year":[],"updated_date":"2026-04-09T08:11:56.329763","created_date":"2026-02-24T00:00:00"}
