乐胖代购免代理版

{"id":"https://openalex.org/W4385719911","doi":"https://doi.org/10.1145/3614441","title":"ViWise: Fusing Visual and Wireless Sensing Data for Trajectory Relationship Recognition","display_name":"ViWise: Fusing Visual and Wireless Sensing Data for Trajectory Relationship Recognition","publication_year":2023,"publication_date":"2023-08-10","ids":{"openalex":"https://openalex.org/W4385719911","doi":"https://doi.org/10.1145/3614441"},"language":"en","primary_location":{"is_oa":true,"landing_page_url":"https://doi.org/10.1145/3614441","pdf_url":null,"source":{"id":"https://openalex.org/S4210175912","display_name":"ACM Transactions on Internet of Things","issn_l":"2577-6207","issn":["2577-6207","2691-1914"],"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},"type":"article","type_crossref":"journal-article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"bronze","oa_url":"https://doi.org/10.1145/3614441","any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5023462911","display_name":"Fang\u2010Jing Wu","orcid":"https://orcid.org/0000-0003-4443-3353"},"institutions":[{"id":"https://openalex.org/I16733864","display_name":"National Taiwan University","ror":"https://ror.org/05bqach95","country_code":"TW","type":"education","lineage":["https://openalex.org/I16733864"]},{"id":"https://openalex.org/I200332995","display_name":"TU Dortmund University","ror":"https://ror.org/01k97gp34","country_code":"DE","type":"education","lineage":["https://openalex.org/I200332995"]}],"countries":["DE","TW"],"is_corresponding":false,"raw_author_name":"Fang-Jing Wu","raw_affiliation_strings":["TU Dortmund University, Germany and National Taiwan University, Taiwan"],"affiliations":[{"raw_affiliation_string":"TU Dortmund University, Germany and National Taiwan University, Taiwan","institution_ids":["https://openalex.org/I16733864","https://openalex.org/I200332995"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5047816068","display_name":"Sheng-Wun Lai","orcid":"https://orcid.org/0009-0000-4795-4301"},"institutions":[{"id":"https://openalex.org/I91807558","display_name":"National Cheng Kung University","ror":"https://ror.org/01b8kcc49","country_code":"TW","type":"education","lineage":["https://openalex.org/I91807558"]}],"countries":["TW"],"is_corresponding":false,"raw_author_name":"Sheng-Wun Lai","raw_affiliation_strings":["National Cheng Kung University, Taiwan"],"affiliations":[{"raw_affiliation_string":"National Cheng Kung University, Taiwan","institution_ids":["https://openalex.org/I91807558"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5034471100","display_name":"Sok\u2010Ian Sou","orcid":"https://orcid.org/0000-0002-1103-9504"},"institutions":[{"id":"https://openalex.org/I91807558","display_name":"National Cheng Kung University","ror":"https://ror.org/01b8kcc49","country_code":"TW","type":"education","lineage":["https://openalex.org/I91807558"]}],"countries":["TW"],"is_corresponding":false,"raw_author_name":"Sok-Ian Sou","raw_affiliation_strings":["National Cheng Kung University, Taiwan"],"affiliations":[{"raw_affiliation_string":"National Cheng Kung University, Taiwan","institution_ids":["https://openalex.org/I91807558"]}]}],"institution_assertions":[],"countries_distinct_count":2,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.651,"has_fulltext":true,"fulltext_origin":"pdf","cited_by_count":2,"citation_normalized_percentile":{"value":0.588886,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":79,"max":85},"biblio":{"volume":"4","issue":"4","first_page":"1","last_page":"29"},"is_retracted":false,"is_paratext":false,"primary_topic":{"id":"https://openalex.org/T10331","display_name":"Video Surveillance and Tracking Methods","score":0.9997,"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/T10331","display_name":"Video Surveillance and Tracking Methods","score":0.9997,"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/T10326","display_name":"Indoor and Outdoor Localization Technologies","score":0.9979,"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"}},{"id":"https://openalex.org/T11512","display_name":"Anomaly Detection Techniques and Applications","score":0.9951,"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/similarity","display_name":"Similarity (geometry)","score":0.45662487}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.74842644},{"id":"https://openalex.org/C555944384","wikidata":"https://www.wikidata.org/wiki/Q249","display_name":"Wireless","level":2,"score":0.6804078},{"id":"https://openalex.org/C13662910","wikidata":"https://www.wikidata.org/wiki/Q193139","display_name":"Trajectory","level":2,"score":0.66386855},{"id":"https://openalex.org/C108037233","wikidata":"https://www.wikidata.org/wiki/Q11375","display_name":"Wireless network","level":3,"score":0.6059247},{"id":"https://openalex.org/C158379750","wikidata":"https://www.wikidata.org/wiki/Q214111","display_name":"Network packet","level":2,"score":0.5283295},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.527939},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.51290274},{"id":"https://openalex.org/C24590314","wikidata":"https://www.wikidata.org/wiki/Q336038","display_name":"Wireless sensor network","level":2,"score":0.51068074},{"id":"https://openalex.org/C103278499","wikidata":"https://www.wikidata.org/wiki/Q254465","display_name":"Similarity (geometry)","level":3,"score":0.45662487},{"id":"https://openalex.org/C2779343474","wikidata":"https://www.wikidata.org/wiki/Q3109175","display_name":"Context (archaeology)","level":2,"score":0.45007706},{"id":"https://openalex.org/C150594956","wikidata":"https://www.wikidata.org/wiki/Q1334829","display_name":"Wearable computer","level":2,"score":0.44344178},{"id":"https://openalex.org/C31258907","wikidata":"https://www.wikidata.org/wiki/Q1301371","display_name":"Computer network","level":1,"score":0.21572036},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.1183607},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.1087887},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.10689157},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C166957645","wikidata":"https://www.wikidata.org/wiki/Q23498","display_name":"Archaeology","level":1,"score":0.0},{"id":"https://openalex.org/C1276947","wikidata":"https://www.wikidata.org/wiki/Q333","display_name":"Astronomy","level":1,"score":0.0},{"id":"https://openalex.org/C149635348","wikidata":"https://www.wikidata.org/wiki/Q193040","display_name":"Embedded system","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"is_oa":true,"landing_page_url":"https://doi.org/10.1145/3614441","pdf_url":null,"source":{"id":"https://openalex.org/S4210175912","display_name":"ACM Transactions on Internet of Things","issn_l":"2577-6207","issn":["2577-6207","2691-1914"],"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}],"best_oa_location":{"is_oa":true,"landing_page_url":"https://doi.org/10.1145/3614441","pdf_url":null,"source":{"id":"https://openalex.org/S4210175912","display_name":"ACM Transactions on Internet of Things","issn_l":"2577-6207","issn":["2577-6207","2691-1914"],"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},"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/10","display_name":"Reduced inequalities","score":0.65}],"grants":[{"funder":"https://openalex.org/F4320320879","funder_display_name":"Deutsche Forschungsgemeinschaft","award_id":"511568981"}],"datasets":[],"versions":[],"referenced_works_count":39,"referenced_works":["https://openalex.org/W106528892","https://openalex.org/W1999547171","https://openalex.org/W2141540608","https://openalex.org/W2165780722","https://openalex.org/W2167563176","https://openalex.org/W2461087667","https://openalex.org/W2512465678","https://openalex.org/W2606987052","https://openalex.org/W2747681861","https://openalex.org/W2804504693","https://openalex.org/W2865103122","https://openalex.org/W2895292469","https://openalex.org/W2897819140","https://openalex.org/W2913526742","https://openalex.org/W2914625699","https://openalex.org/W2920133319","https://openalex.org/W2962794823","https://openalex.org/W2981847000","https://openalex.org/W2982288489","https://openalex.org/W2998370018","https://openalex.org/W3004077959","https://openalex.org/W3024190281","https://openalex.org/W3031707003","https://openalex.org/W3033626666","https://openalex.org/W3035706453","https://openalex.org/W3037399222","https://openalex.org/W3040199298","https://openalex.org/W3040999331","https://openalex.org/W3118648637","https://openalex.org/W3155593643","https://openalex.org/W3172835673","https://openalex.org/W3178125252","https://openalex.org/W3186472775","https://openalex.org/W3195362170","https://openalex.org/W3207447090","https://openalex.org/W4206441430","https://openalex.org/W4283654353","https://openalex.org/W4290996395","https://openalex.org/W4307266367"],"related_works":["https://openalex.org/W4360995134","https://openalex.org/W4323768008","https://openalex.org/W4248382324","https://openalex.org/W3186928667","https://openalex.org/W3131574667","https://openalex.org/W3023605104","https://openalex.org/W2987583674","https://openalex.org/W2387529410","https://openalex.org/W2383578611","https://openalex.org/W2039473718"],"abstract_inverted_index":{"People":[0],"usually":[1,111,131],"form":[2],"a":[3,7,59,65,82,92,102,145],"social":[4,220],"structure":[5,152,221],"(e.g.,":[6],"leader-follower,":[8],"companion,":[9],"or":[10],"independent":[11],"group)":[12],"for":[13,96],"better":[14],"interactions":[15],"among":[16,44],"them":[17],"and":[18,26,50,67,86,156,189,230],"thus":[19],"share":[20,112],"similar":[21,108,113,133],"perceptions":[22],"of":[23,61,140,164,247],"visible":[24,186],"scenes":[25],"invisible":[27,190],"wireless":[28,51,68,88,117,122,126,165,171,191],"signals":[29],"encountered":[30,170],"while":[31],"moving.":[32],"Many":[33],"mobility-driven":[34],"applications":[35],"have":[36],"paid":[37],"much":[38],"attention":[39],"to":[40,53,196,217],"recognizing":[41,97],"trajectory":[42,56,99,182,241],"relationships":[43,100],"people.":[45],"This":[46],"work":[47],"models":[48],"visual":[49,66,84,114,138],"data":[52,200,215],"quantify":[54],"the":[55,76,87,137,169,174,185,198,204,219,235],"similarity":[57,201,216],"between":[58,206],"pair":[60],"users.":[62],"We":[63,135,211],"design":[64],"sensor":[69],"fusion":[70],"system,":[71],"called":[72],"ViWise,":[73],"which":[74],"incorporates":[75],"first-person":[77],"video":[78,187],"frames":[79,188],"collected":[80],"by":[81,91,120,144,209],"wearable":[83],"device":[85,95],"packets":[89,118,166,192],"broadcast":[90],"personal":[93],"mobile":[94],"finer-grained":[98],"within":[101,222],"mobility":[103],"group.":[104],"When":[105],"people":[106],"take":[107],"trajectories,":[109,180],"they":[110],"scenes.":[115],"Their":[116],"observed":[119],"ambient":[121],"base":[123],"stations":[124],"(called":[125],"scanners":[127,172],"in":[128,228,240],"this":[129],"work)":[130],"contain":[132],"patterns.":[134],"model":[136,162],"characteristics":[139,163,183],"physical":[141],"objects":[142],"seen":[143],"user":[146,223],"from":[147],"two":[148,178],"perspectives:":[149],"micro-scale":[150],"image":[151],"with":[153,244],"pixel-wise":[154],"features":[155],"macro-scale":[157],"semantic":[158],"context.":[159],"However,":[160],"we":[161],"based":[167],"on":[168],"along":[173],"user\u2019s":[175],"trajectory.":[176],"Given":[177],"users\u2019":[179],"their":[181],"behind":[184],"are":[193],"fused":[194],"together":[195],"compute":[197],"visual-wireless":[199,214],"that":[202,234],"quantifies":[203],"correlation":[205],"trajectories":[207],"taken":[208],"them.":[210],"exploit":[212],"modeled":[213],"recognize":[218],"trajectories.":[224],"Comprehensive":[225],"experimental":[226],"results":[227],"indoor":[229],"outdoor":[231],"environments":[232],"show":[233],"proposed":[236],"ViWise":[237],"is":[238],"robust":[239],"relationship":[242],"recognition":[243],"an":[245],"accuracy":[246],"above":[248],"90%.":[249]},"cited_by_api_url":"https://api.openalex.org/works?filter=cites:W4385719911","counts_by_year":[{"year":2024,"cited_by_count":2}],"updated_date":"2024-12-07T03:19:00.494379","created_date":"2023-08-11"}