{"id":"https://openalex.org/W3094027734","doi":"https://doi.org/10.1109/seeda-cecnsm49515.2020.9221806","title":"Comparison of Algorithms and Action Coordinates Sets in Detection of Slight Differences in Motions like Lock-Picking","display_name":"Comparison of Algorithms and Action Coordinates Sets in Detection of Slight Differences in Motions like Lock-Picking","publication_year":2020,"publication_date":"2020-09-01","ids":{"openalex":"https://openalex.org/W3094027734","doi":"https://doi.org/10.1109/seeda-cecnsm49515.2020.9221806","mag":"3094027734"},"language":"en","primary_location":{"id":"doi:10.1109/seeda-cecnsm49515.2020.9221806","is_oa":false,"landing_page_url":"https://doi.org/10.1109/seeda-cecnsm49515.2020.9221806","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2020 5th South-East Europe Design Automation, Computer Engineering, Computer Networks and Social Media Conference (SEEDA-CECNSM)","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/A5015146279","display_name":"Masaki Shiraishi","orcid":null},"institutions":[{"id":"https://openalex.org/I148798404","display_name":"Tokyo University of Technology","ror":"https://ror.org/021a26605","country_code":"JP","type":"education","lineage":["https://openalex.org/I148798404"]}],"countries":["JP"],"is_corresponding":true,"raw_author_name":"Masaki Shiraishi","raw_affiliation_strings":["Graduate School of Bionics, Computer and Media Sciences Tokyo University of Technology Graduate School Hachioji, Tokyo, Japan"],"affiliations":[{"raw_affiliation_string":"Graduate School of Bionics, Computer and Media Sciences Tokyo University of Technology Graduate School Hachioji, Tokyo, Japan","institution_ids":["https://openalex.org/I148798404"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5108726661","display_name":"Ryuya Uda","orcid":null},"institutions":[{"id":"https://openalex.org/I148798404","display_name":"Tokyo University of Technology","ror":"https://ror.org/021a26605","country_code":"JP","type":"education","lineage":["https://openalex.org/I148798404"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Ryuya Uda","raw_affiliation_strings":["Graduate School of Bionics, Computer and Media Sciences Tokyo University of Technology Graduate School Hachioji, Tokyo, Japan"],"affiliations":[{"raw_affiliation_string":"Graduate School of Bionics, Computer and Media Sciences Tokyo University of Technology Graduate School Hachioji, Tokyo, Japan","institution_ids":["https://openalex.org/I148798404"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5015146279"],"corresponding_institution_ids":["https://openalex.org/I148798404"],"apc_list":null,"apc_paid":null,"fwci":0.0977,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.41108758,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":94},"biblio":{"volume":"2017 cvim 209","issue":null,"first_page":"1","last_page":"8"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10331","display_name":"Video Surveillance and Tracking Methods","score":0.9988999962806702,"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":0.9988999962806702,"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/T11398","display_name":"Hand Gesture Recognition Systems","score":0.9988999962806702,"subfield":{"id":"https://openalex.org/subfields/1709","display_name":"Human-Computer Interaction"},"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/T10812","display_name":"Human Pose and Action Recognition","score":0.996399998664856,"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/guard","display_name":"Guard (computer science)","score":0.8011565208435059},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.739370584487915},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6523532271385193},{"id":"https://openalex.org/keywords/support-vector-machine","display_name":"Support vector machine","score":0.5737467408180237},{"id":"https://openalex.org/keywords/action","display_name":"Action (physics)","score":0.5402749180793762},{"id":"https://openalex.org/keywords/lock","display_name":"Lock (firearm)","score":0.5122901201248169},{"id":"https://openalex.org/keywords/measure","display_name":"Measure (data warehouse)","score":0.488770455121994},{"id":"https://openalex.org/keywords/key","display_name":"Key (lock)","score":0.4806336462497711},{"id":"https://openalex.org/keywords/security-guard","display_name":"Security guard","score":0.45731374621391296},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.44725966453552246},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.43089908361434937},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.417235791683197},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.25106269121170044},{"id":"https://openalex.org/keywords/computer-security","display_name":"Computer security","score":0.13545048236846924},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.07847738265991211}],"concepts":[{"id":"https://openalex.org/C141141315","wikidata":"https://www.wikidata.org/wiki/Q2379942","display_name":"Guard (computer science)","level":2,"score":0.8011565208435059},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.739370584487915},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6523532271385193},{"id":"https://openalex.org/C12267149","wikidata":"https://www.wikidata.org/wiki/Q282453","display_name":"Support vector machine","level":2,"score":0.5737467408180237},{"id":"https://openalex.org/C2780791683","wikidata":"https://www.wikidata.org/wiki/Q846785","display_name":"Action (physics)","level":2,"score":0.5402749180793762},{"id":"https://openalex.org/C174839445","wikidata":"https://www.wikidata.org/wiki/Q1134386","display_name":"Lock (firearm)","level":2,"score":0.5122901201248169},{"id":"https://openalex.org/C2780009758","wikidata":"https://www.wikidata.org/wiki/Q6804172","display_name":"Measure (data warehouse)","level":2,"score":0.488770455121994},{"id":"https://openalex.org/C26517878","wikidata":"https://www.wikidata.org/wiki/Q228039","display_name":"Key (lock)","level":2,"score":0.4806336462497711},{"id":"https://openalex.org/C2992838255","wikidata":"https://www.wikidata.org/wiki/Q856887","display_name":"Security guard","level":2,"score":0.45731374621391296},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.44725966453552246},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.43089908361434937},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.417235791683197},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.25106269121170044},{"id":"https://openalex.org/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","level":1,"score":0.13545048236846924},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.07847738265991211},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0},{"id":"https://openalex.org/C78519656","wikidata":"https://www.wikidata.org/wiki/Q101333","display_name":"Mechanical engineering","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/seeda-cecnsm49515.2020.9221806","is_oa":false,"landing_page_url":"https://doi.org/10.1109/seeda-cecnsm49515.2020.9221806","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2020 5th South-East Europe Design Automation, Computer Engineering, Computer Networks and Social Media Conference (SEEDA-CECNSM)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Peace, Justice and strong institutions","id":"https://metadata.un.org/sdg/16","score":0.6899999976158142}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":7,"referenced_works":["https://openalex.org/W1493709601","https://openalex.org/W1986472721","https://openalex.org/W2285917757","https://openalex.org/W2518588955","https://openalex.org/W2636752160","https://openalex.org/W2762273490","https://openalex.org/W2798810963"],"related_works":["https://openalex.org/W2379568912","https://openalex.org/W2379651719","https://openalex.org/W2505999637","https://openalex.org/W2383607474","https://openalex.org/W2514694821","https://openalex.org/W2432628879","https://openalex.org/W3016806905","https://openalex.org/W2990841437","https://openalex.org/W2911038896","https://openalex.org/W3838057"],"abstract_inverted_index":{"A":[0],"security":[1,173],"guard":[2,174],"must":[3],"always":[4],"watch":[5],"all":[6,177],"monitors":[7,178],"when":[8,144],"he":[9],"manually":[10],"detects":[11],"a":[12,51,65,124,172],"malicious":[13],"person":[14],"by":[15,26,50,53,105],"surveillance":[16],"cameras.":[17],"Actions":[18],"with":[19,103],"big":[20],"motions":[21,39],"can":[22],"be":[23,161],"automatically":[24],"classified":[25],"machine":[27,54,80],"learning":[28,55,81],"in":[29,38],"some":[30],"researches":[31],"but":[32],"the":[33,62,70,95,115,129,140,150],"detection":[34],"of":[35,79,90,126,132],"slight":[36],"differences":[37],"is":[40],"difficult.":[41],"Therefore,":[42],"we":[43,67,100,113],"tried":[44],"to":[45,108,149,160],"distinguish":[46],"lock-picking":[47],"from":[48,175],"unlocking":[49],"key":[52],"and":[56,119,166],"evaluated":[57],"what":[58],"data":[59,71],"augmentation":[60,72],"increased":[61],"accuracy.":[63,96],"As":[64],"result,":[66],"found":[68],"that":[69,88],"was":[73,135,142],"not":[74,158],"so":[75],"effective":[76],"while":[77],"algorithms":[78],"were":[82,147],"more":[83],"important.":[84],"We":[85],"also":[86],"considered":[87],"selection":[89],"action":[91,121,145],"coordinates":[92,146],"might":[93],"influence":[94],"In":[97,111,123],"this":[98],"paper,":[99],"compare":[101],"CNN":[102],"SVM":[104],"applying":[106],"them":[107],"our":[109],"method.":[110],"addition,":[112],"evaluate":[114],"relation":[116],"between":[117],"F-measure":[118,131],"selected":[120],"coordinates.":[122],"result":[125],"an":[127],"experiment,":[128],"average":[130],"two":[133],"examinees":[134],"higher":[136],"than":[137],"90%.":[138],"Moreover,":[139],"score":[141],"kept":[143],"limited":[148,162],"right":[151],"arm.":[152],"That":[153],"is,":[154],"actual":[155],"users":[156],"are":[157],"forced":[159],"their":[163,167],"standing":[164],"position":[165],"posture.":[168],"Our":[169],"method":[170],"releases":[171],"watching":[176],"every":[179],"time.":[180]},"counts_by_year":[{"year":2022,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
