{"id":"https://openalex.org/W2061083437","doi":"https://doi.org/10.1145/2523025.2523026","title":"Accurate and Efficient Algorithms that Adapt to Privacy-Enhanced Video for Improved Assistive Monitoring","display_name":"Accurate and Efficient Algorithms that Adapt to Privacy-Enhanced Video for Improved Assistive Monitoring","publication_year":2013,"publication_date":"2013-10-01","ids":{"openalex":"https://openalex.org/W2061083437","doi":"https://doi.org/10.1145/2523025.2523026","mag":"2061083437"},"language":"en","primary_location":{"id":"doi:10.1145/2523025.2523026","is_oa":false,"landing_page_url":"https://doi.org/10.1145/2523025.2523026","pdf_url":null,"source":{"id":"https://openalex.org/S4210170305","display_name":"ACM Transactions on Management Information Systems","issn_l":"2158-656X","issn":["2158-656X","2158-6578"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319798","host_organization_name":"Association for Computing Machinery","host_organization_lineage":["https://openalex.org/P4310319798"],"host_organization_lineage_names":["Association for Computing Machinery"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ACM Transactions on Management Information Systems","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/A5057517734","display_name":"Alex Edgcomb","orcid":"https://orcid.org/0000-0003-0223-4372"},"institutions":[{"id":"https://openalex.org/I103635307","display_name":"University of California, Riverside","ror":"https://ror.org/03nawhv43","country_code":"US","type":"education","lineage":["https://openalex.org/I103635307"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Alex Edgcomb","raw_affiliation_strings":["University of California, Riverside"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of California, Riverside","institution_ids":["https://openalex.org/I103635307"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5001290812","display_name":"Frank Vahid","orcid":"https://orcid.org/0000-0001-5416-0032"},"institutions":[{"id":"https://openalex.org/I103635307","display_name":"University of California, Riverside","ror":"https://ror.org/03nawhv43","country_code":"US","type":"education","lineage":["https://openalex.org/I103635307"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Frank Vahid","raw_affiliation_strings":["University of California, Riverside"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of California, Riverside","institution_ids":["https://openalex.org/I103635307"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5057517734"],"corresponding_institution_ids":["https://openalex.org/I103635307"],"apc_list":null,"apc_paid":null,"fwci":0.5523,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.71219377,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":94},"biblio":{"volume":"4","issue":"3","first_page":"1","last_page":"16"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10444","display_name":"Context-Aware Activity Recognition Systems","score":0.9994000196456909,"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/T10444","display_name":"Context-Aware Activity Recognition Systems","score":0.9994000196456909,"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/T10914","display_name":"Tactile and Sensory Interactions","score":0.9769999980926514,"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"}},{"id":"https://openalex.org/T12222","display_name":"IoT-based Smart Home Systems","score":0.9764999747276306,"subfield":{"id":"https://openalex.org/subfields/2208","display_name":"Electrical and Electronic 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/computer-science","display_name":"Computer science","score":0.7875722646713257},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.6794562339782715},{"id":"https://openalex.org/keywords/silhouette","display_name":"Silhouette","score":0.48350170254707336},{"id":"https://openalex.org/keywords/sensitivity","display_name":"Sensitivity (control systems)","score":0.43063366413116455},{"id":"https://openalex.org/keywords/bounding-overwatch","display_name":"Bounding overwatch","score":0.4287579357624054},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.40578189492225647},{"id":"https://openalex.org/keywords/real-time-computing","display_name":"Real-time computing","score":0.32598137855529785},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.3228147029876709}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7875722646713257},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.6794562339782715},{"id":"https://openalex.org/C58103923","wikidata":"https://www.wikidata.org/wiki/Q2286025","display_name":"Silhouette","level":2,"score":0.48350170254707336},{"id":"https://openalex.org/C21200559","wikidata":"https://www.wikidata.org/wiki/Q7451068","display_name":"Sensitivity (control systems)","level":2,"score":0.43063366413116455},{"id":"https://openalex.org/C63584917","wikidata":"https://www.wikidata.org/wiki/Q333286","display_name":"Bounding overwatch","level":2,"score":0.4287579357624054},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.40578189492225647},{"id":"https://openalex.org/C79403827","wikidata":"https://www.wikidata.org/wiki/Q3988","display_name":"Real-time computing","level":1,"score":0.32598137855529785},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3228147029876709},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.0},{"id":"https://openalex.org/C24326235","wikidata":"https://www.wikidata.org/wiki/Q126095","display_name":"Electronic engineering","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/2523025.2523026","is_oa":false,"landing_page_url":"https://doi.org/10.1145/2523025.2523026","pdf_url":null,"source":{"id":"https://openalex.org/S4210170305","display_name":"ACM Transactions on Management Information Systems","issn_l":"2158-656X","issn":["2158-656X","2158-6578"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319798","host_organization_name":"Association for Computing Machinery","host_organization_lineage":["https://openalex.org/P4310319798"],"host_organization_lineage_names":["Association for Computing Machinery"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ACM Transactions on Management Information Systems","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.7699999809265137,"display_name":"Affordable and clean energy","id":"https://metadata.un.org/sdg/7"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":23,"referenced_works":["https://openalex.org/W1548081534","https://openalex.org/W1573546770","https://openalex.org/W1992215715","https://openalex.org/W2000142462","https://openalex.org/W2020648835","https://openalex.org/W2023002656","https://openalex.org/W2028191869","https://openalex.org/W2040861925","https://openalex.org/W2047169596","https://openalex.org/W2076234758","https://openalex.org/W2078569103","https://openalex.org/W2081241079","https://openalex.org/W2102531244","https://openalex.org/W2102625004","https://openalex.org/W2118218997","https://openalex.org/W2121269968","https://openalex.org/W2137446621","https://openalex.org/W2142856621","https://openalex.org/W2151660514","https://openalex.org/W2158604775","https://openalex.org/W2170548432","https://openalex.org/W2340480757","https://openalex.org/W4246379295"],"related_works":["https://openalex.org/W1622964048","https://openalex.org/W30315714","https://openalex.org/W1965274140","https://openalex.org/W779885325","https://openalex.org/W2150972844","https://openalex.org/W2393615320","https://openalex.org/W3110435694","https://openalex.org/W2185145003","https://openalex.org/W2001760863","https://openalex.org/W2724951827"],"abstract_inverted_index":{"Automated":[0],"monitoring":[1,17,61,89,131],"algorithms":[2,85,119,147,167,196,209],"operating":[3],"on":[4,125,137],"live":[5],"video":[6,30,47,139],"streamed":[7],"from":[8,142,160,182,188],"a":[9,44],"home":[10],"can":[11,76,148],"effectively":[12],"aid":[13],"in":[14,46,58,64,156],"several":[15],"assistive":[16,60,88],"goals,":[18],"such":[19,41],"as":[20,42,106],"detecting":[21],"falls":[22],"or":[23,52],"estimating":[24],"daily":[25],"energy":[26],"expenditure.":[27],"Use":[28],"of":[29,67,128],"raises":[31],"obvious":[32],"privacy":[33,36,68,71,123],"concerns.":[34],"Several":[35],"enhancements":[37,72,124],"have":[38,73],"been":[39],"proposed":[40],"modifying":[43],"person":[45],"by":[48,170],"introducing":[49],"blur,":[50],"silhouette,":[51],"bounding-box.":[53],"Person":[54],"extraction":[55],"is":[56,104,140],"fundamental":[57],"video-based":[59],"and":[62,97,117,187,203],"degraded":[63,141,159,181],"the":[65,107,111,126,151,165,172,194,207,215],"presence":[66],"enhancements;":[69],"however,":[70],"characteristics":[74],"that":[75],"opportunistically":[77],"be":[78],"adapted":[79],"to.":[80],"We":[81,114],"propose":[82],"two":[83],"adaptive":[84,112,118,146,166,195,208],"for":[86,110,150],"improving":[87],"goal":[90],"performance":[91,136],"with":[92,120],"privacy-enhanced":[93,138],"video:":[94],"specific-color":[95],"hunter":[96],"edge-void":[98],"filler.":[99],"A":[100],"nonadaptive":[101,116,134,216],"algorithm,":[102,217],"foregrounding,":[103],"used":[105],"default":[108],"algorithm":[109,135],"algorithms.":[113],"compare":[115],"5":[121],"common":[122],"effectiveness":[127],"8":[129],"automated":[130],"goals.":[132],"The":[133],"raw":[143],"video.":[144],"However,":[145],"compensate":[149],"degradation.":[152],"Energy":[153],"estimation":[154],"accuracy":[155,173,180,198],"our":[157],"tests":[158],"90.9%":[161],"to":[162,175,185,191,200],"83.9%,":[163],"but":[164,193],"significantly":[168],"compensated":[169,197],"bringing":[171],"up":[174],"87.1%.":[176],"Similarly,":[177],"fall":[178],"detection":[179],"1.0":[183,189],"sensitivity":[184,202],"0.86":[186],"specificity":[190],"0.79,":[192],"back":[199],"0.92":[201],"0.90":[204],"specificity.":[205],"Additionally,":[206],"were":[210],"computationally":[211],"more":[212,220],"efficient":[213],"than":[214],"averaging":[218],"1.7%":[219],"frames":[221],"processed":[222],"per":[223],"second.":[224]},"counts_by_year":[{"year":2016,"cited_by_count":1},{"year":2014,"cited_by_count":1}],"updated_date":"2026-05-03T08:25:01.440150","created_date":"2025-10-10T00:00:00"}
