{"id":"https://openalex.org/W2995151965","doi":"https://doi.org/10.1109/wcsp.2019.8927923","title":"Privacy-Preserving Pedestrian Detection for Smart City with Edge Computing","display_name":"Privacy-Preserving Pedestrian Detection for Smart City with Edge Computing","publication_year":2019,"publication_date":"2019-10-01","ids":{"openalex":"https://openalex.org/W2995151965","doi":"https://doi.org/10.1109/wcsp.2019.8927923","mag":"2995151965"},"language":"en","primary_location":{"id":"doi:10.1109/wcsp.2019.8927923","is_oa":false,"landing_page_url":"https://doi.org/10.1109/wcsp.2019.8927923","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2019 11th International Conference on Wireless Communications and Signal Processing (WCSP)","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/A5029265001","display_name":"Danni Yuan","orcid":null},"institutions":[{"id":"https://openalex.org/I149594827","display_name":"Xidian University","ror":"https://ror.org/05s92vm98","country_code":"CN","type":"education","lineage":["https://openalex.org/I149594827"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Danni Yuan","raw_affiliation_strings":["State Key Laboratory of Integrated Services Networks, Xidian University, Xi'an, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"State Key Laboratory of Integrated Services Networks, Xidian University, Xi'an, China","institution_ids":["https://openalex.org/I149594827"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100522587","display_name":"Xiaoyan Zhu","orcid":null},"institutions":[{"id":"https://openalex.org/I149594827","display_name":"Xidian University","ror":"https://ror.org/05s92vm98","country_code":"CN","type":"education","lineage":["https://openalex.org/I149594827"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xiaoyan Zhu","raw_affiliation_strings":["State Key Laboratory of Integrated Services Networks, Xidian University, Xi'an, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"State Key Laboratory of Integrated Services Networks, Xidian University, Xi'an, China","institution_ids":["https://openalex.org/I149594827"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5005881942","display_name":"Yaoru Mao","orcid":null},"institutions":[{"id":"https://openalex.org/I149594827","display_name":"Xidian University","ror":"https://ror.org/05s92vm98","country_code":"CN","type":"education","lineage":["https://openalex.org/I149594827"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yaoru Mao","raw_affiliation_strings":["State Key Laboratory of Integrated Services Networks, Xidian University, Xi'an, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"State Key Laboratory of Integrated Services Networks, Xidian University, Xi'an, China","institution_ids":["https://openalex.org/I149594827"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5065257538","display_name":"Binwen Zheng","orcid":null},"institutions":[{"id":"https://openalex.org/I149594827","display_name":"Xidian University","ror":"https://ror.org/05s92vm98","country_code":"CN","type":"education","lineage":["https://openalex.org/I149594827"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Binwen Zheng","raw_affiliation_strings":["State Key Laboratory of Integrated Services Networks, Xidian University, Xi'an, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"State Key Laboratory of Integrated Services Networks, Xidian University, Xi'an, China","institution_ids":["https://openalex.org/I149594827"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5011438608","display_name":"Tao Wu","orcid":"https://orcid.org/0000-0003-1344-835X"},"institutions":[{"id":"https://openalex.org/I149594827","display_name":"Xidian University","ror":"https://ror.org/05s92vm98","country_code":"CN","type":"education","lineage":["https://openalex.org/I149594827"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Tao Wu","raw_affiliation_strings":["State Key Laboratory of Integrated Services Networks, Xidian University, Xi'an, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"State Key Laboratory of Integrated Services Networks, Xidian University, Xi'an, China","institution_ids":["https://openalex.org/I149594827"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I149594827"],"apc_list":null,"apc_paid":null,"fwci":0.4339,"has_fulltext":false,"cited_by_count":7,"citation_normalized_percentile":{"value":0.73225755,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":96},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"6"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10764","display_name":"Privacy-Preserving Technologies in Data","score":0.9995999932289124,"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/T10764","display_name":"Privacy-Preserving Technologies in Data","score":0.9995999932289124,"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/T11980","display_name":"Human Mobility and Location-Based Analysis","score":0.9976000189781189,"subfield":{"id":"https://openalex.org/subfields/3313","display_name":"Transportation"},"field":{"id":"https://openalex.org/fields/33","display_name":"Social Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},{"id":"https://openalex.org/T10331","display_name":"Video Surveillance and Tracking Methods","score":0.9969000220298767,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/server","display_name":"Server","score":0.8672468662261963},{"id":"https://openalex.org/keywords/cloud-computing","display_name":"Cloud computing","score":0.8042808771133423},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.785206139087677},{"id":"https://openalex.org/keywords/edge-computing","display_name":"Edge computing","score":0.7517011761665344},{"id":"https://openalex.org/keywords/differential-privacy","display_name":"Differential privacy","score":0.6755265593528748},{"id":"https://openalex.org/keywords/enhanced-data-rates-for-gsm-evolution","display_name":"Enhanced Data Rates for GSM Evolution","score":0.6462027430534363},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.5095992088317871},{"id":"https://openalex.org/keywords/internet-of-things","display_name":"Internet of Things","score":0.4425508677959442},{"id":"https://openalex.org/keywords/smart-city","display_name":"Smart city","score":0.4311888515949249},{"id":"https://openalex.org/keywords/information-privacy","display_name":"Information privacy","score":0.42808839678764343},{"id":"https://openalex.org/keywords/edge-device","display_name":"Edge device","score":0.42353230714797974},{"id":"https://openalex.org/keywords/pedestrian","display_name":"Pedestrian","score":0.42147183418273926},{"id":"https://openalex.org/keywords/computer-security","display_name":"Computer security","score":0.4114149808883667},{"id":"https://openalex.org/keywords/computer-network","display_name":"Computer network","score":0.39341211318969727},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.33418720960617065},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.14272940158843994},{"id":"https://openalex.org/keywords/operating-system","display_name":"Operating system","score":0.10129544138908386},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.10078361630439758}],"concepts":[{"id":"https://openalex.org/C93996380","wikidata":"https://www.wikidata.org/wiki/Q44127","display_name":"Server","level":2,"score":0.8672468662261963},{"id":"https://openalex.org/C79974875","wikidata":"https://www.wikidata.org/wiki/Q483639","display_name":"Cloud computing","level":2,"score":0.8042808771133423},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.785206139087677},{"id":"https://openalex.org/C2778456923","wikidata":"https://www.wikidata.org/wiki/Q5337692","display_name":"Edge computing","level":3,"score":0.7517011761665344},{"id":"https://openalex.org/C23130292","wikidata":"https://www.wikidata.org/wiki/Q5275358","display_name":"Differential privacy","level":2,"score":0.6755265593528748},{"id":"https://openalex.org/C162307627","wikidata":"https://www.wikidata.org/wiki/Q204833","display_name":"Enhanced Data Rates for GSM Evolution","level":2,"score":0.6462027430534363},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.5095992088317871},{"id":"https://openalex.org/C81860439","wikidata":"https://www.wikidata.org/wiki/Q251212","display_name":"Internet of Things","level":2,"score":0.4425508677959442},{"id":"https://openalex.org/C2777103469","wikidata":"https://www.wikidata.org/wiki/Q1231558","display_name":"Smart city","level":3,"score":0.4311888515949249},{"id":"https://openalex.org/C123201435","wikidata":"https://www.wikidata.org/wiki/Q456632","display_name":"Information privacy","level":2,"score":0.42808839678764343},{"id":"https://openalex.org/C138236772","wikidata":"https://www.wikidata.org/wiki/Q25098575","display_name":"Edge device","level":3,"score":0.42353230714797974},{"id":"https://openalex.org/C2777113093","wikidata":"https://www.wikidata.org/wiki/Q221488","display_name":"Pedestrian","level":2,"score":0.42147183418273926},{"id":"https://openalex.org/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","level":1,"score":0.4114149808883667},{"id":"https://openalex.org/C31258907","wikidata":"https://www.wikidata.org/wiki/Q1301371","display_name":"Computer network","level":1,"score":0.39341211318969727},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.33418720960617065},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.14272940158843994},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.10129544138908386},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.10078361630439758},{"id":"https://openalex.org/C22212356","wikidata":"https://www.wikidata.org/wiki/Q775325","display_name":"Transport engineering","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/wcsp.2019.8927923","is_oa":false,"landing_page_url":"https://doi.org/10.1109/wcsp.2019.8927923","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2019 11th International Conference on Wireless Communications and Signal Processing (WCSP)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Sustainable cities and communities","score":0.699999988079071,"id":"https://metadata.un.org/sdg/11"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":35,"referenced_works":["https://openalex.org/W1557833142","https://openalex.org/W1873763122","https://openalex.org/W1918915976","https://openalex.org/W1993116423","https://openalex.org/W1997690112","https://openalex.org/W2027595342","https://openalex.org/W2053637704","https://openalex.org/W2061860832","https://openalex.org/W2079841778","https://openalex.org/W2097117768","https://openalex.org/W2123820077","https://openalex.org/W2160815625","https://openalex.org/W2161969291","https://openalex.org/W2163605009","https://openalex.org/W2184045248","https://openalex.org/W2416799949","https://openalex.org/W2585425668","https://openalex.org/W2618530766","https://openalex.org/W2739959530","https://openalex.org/W2761901817","https://openalex.org/W2762026494","https://openalex.org/W2786070938","https://openalex.org/W2788633781","https://openalex.org/W2795342689","https://openalex.org/W2797917356","https://openalex.org/W2887817291","https://openalex.org/W2889452663","https://openalex.org/W2904086225","https://openalex.org/W2963313259","https://openalex.org/W2963351448","https://openalex.org/W4205228770","https://openalex.org/W4235152108","https://openalex.org/W6633508582","https://openalex.org/W6639246211","https://openalex.org/W6663928093"],"related_works":["https://openalex.org/W4322761281","https://openalex.org/W4238233472","https://openalex.org/W4313526662","https://openalex.org/W3111395152","https://openalex.org/W4312996489","https://openalex.org/W3106131444","https://openalex.org/W3216099748","https://openalex.org/W4205963435","https://openalex.org/W4313463379","https://openalex.org/W3214037210"],"abstract_inverted_index":{"Edge":[0],"computing":[1,44],"is":[2,87],"an":[3],"ideal":[4],"platform":[5],"for":[6,89],"pedestrian":[7],"detection":[8],"in":[9,60,180],"smart":[10],"city":[11],"because":[12],"of":[13,49,63,80,100],"low":[14],"latency":[15],"and":[16,153],"location":[17],"awareness.":[18],"In":[19],"edge":[20,30,43,66,175],"computing,":[21,42],"data":[22,121],"collected":[23,111,122,144],"by":[24,112,123],"IoT":[25,113,124],"devices":[26,125],"are":[27,68,75,83],"processed":[28],"on":[29,148,174],"servers":[31,67,176],"rather":[32],"than":[33],"being":[34,52,58],"transported":[35],"to":[36,91,107,141],"cloud":[37,41,55],"server.":[38],"Compared":[39],"with":[40,183],"could":[45,126],"avoid":[46],"the":[47,61,101,120,128,143,149,170,181],"possibility":[48],"pedestrians'":[50],"privacy":[51,140,166],"leaked":[53],"from":[54,109],"server":[56],"or":[57],"stolen":[59],"process":[62],"transmission.":[64],"However,":[65],"not":[69],"always":[70],"safe.":[71],"For":[72],"instance,":[73],"there":[74],"researches":[76],"show":[77,160],"that":[78,137,161],"89%":[79],"WiFi":[81],"hotspots":[82],"unsecured.":[84],"Hence,":[85],"it":[86],"possible":[88],"attackers":[90],"know":[92],"where":[93],"you":[94,105],"go":[95],"at":[96],"a":[97,135],"given":[98],"time":[99],"day,":[102],"which":[103],"places":[104],"prefer":[106],"visit":[108],"images":[110,168,182],"devices,":[114],"such":[115],"as":[116,185,187],"camera,":[117],"UAVs.":[118],"Considering":[119],"include":[127],"sensitive":[129],"information":[130],"about":[131],"users,":[132],"we":[133],"propose":[134],"scheme":[136],"applies":[138],"differential":[139,165],"protect":[142],"data.":[145],"We":[146],"experiment":[147],"INRIA":[150],"Person":[151],"Dataset":[152],"use":[154],"three":[155],"deep":[156,171],"learning":[157,172],"networks.":[158],"Results":[159],"even":[162],"though":[163],"adding":[164],"makes":[167],"blurred,":[169],"network":[173],"can":[177],"detect":[178],"pedestrians":[179],"accuracy":[184],"high":[186],"97.3%.":[188]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":2},{"year":2023,"cited_by_count":1},{"year":2022,"cited_by_count":1},{"year":2021,"cited_by_count":1},{"year":2020,"cited_by_count":1}],"updated_date":"2026-06-26T08:34:08.712188","created_date":"2025-10-10T00:00:00"}
