{“id”:“https://openalex.org/W4213210762“,”doi“:”https://doi.org/10.1142/s0218001422550126“,”title“:”人体姿势距离图像分析用于动作识别“,”display_name“:”用于动作识别的人体姿态距离图像分析“,”publication_year“:2022,”publiation_date“:”2022-04-13“,”ids“:{”openalex“:”https://openalex.org/W4213210762“,”doi“:”https://doi.org/10.1142/s0218001422550126“},”language“:”en“,”primary_location“:{”is_oa“:false,”landing_page_url“:”https://doi.org/10.1142/s0218001422550126“,”pdf_url“:空,”源“:{”id“:”https://openalex.org/S41486457“,”display_name“:”国际模式识别与人工智能杂志“,”issn_l“:”0218-0014“,”isn“:[”0218-014“,”1793-6381“],”is_oa“:false,”is-in_doaj“:false,”is_core“:true,”host_organization“:”https://openalex.org/P4310318815“,”host_organization_name“:”World Scientific“,”host_organization _lineage“:[”https://openalex.org/P4310318815“],”host_organization_lineage_names“:[”World Scientific“],“type”:“journal”},“license”:null,“licence_id”:null,“version”:null,“is_accepted”:false,“is_published”:false},”type“:”article“,”type_crossref“:“jornal-article”,“indexed_in”:[”crossref“],_has_fulltext“:false},”authorships“:[{”author_position“:”first“,”author“:{”id“:”https://openalex.org/A5013789759“,”display_name“:”Amit Verma“,”orcid“:”https://orcid.org/0000-0002-3210-5144},“机构”:[{“id”:https://openalex.org/I38335241“,”display_name“:”国家理工学院Raipur“,”ror“:”https://ror.org/02y553197“,”country_code“:”IN“,”type“:“教育”,”世系“:[”https://openalex.org/I38335241“]}],”国家“:[”IN“],”is_corresponding“:true,”raw_author_name“:”Amit Verma“,”raw _affiliation_strings“:[“印度国家理工学院电子与通信工程系,Raipur 492010”],”affiliations“:”印度国家理工学院电子与通信工程系,Raipur 492010”,“institution_ids”:[“https://openalex.org/I38335241“]}]},{”author_position“:”middle“,”author“:{”id“:”https://openalex.org/A5018445114“,”display_name“:”Toshanlal Meenpal“,”orcid“:”https://orcid.org/0000-0003-2809-075X},“机构”:[{“id”:https://openalex.org/I38335241“,”display_name“:”国家理工学院Raipur“,”ror“:”https://ror.org/02y553197“,”country_code“:”IN“,”type“:“教育”,”世系“:[”https://openalex.org/I38335241“]}],”国家“:[”IN“],”is_corresponding“:false,”raw_author_name“:”Toshanlal Meenpal“,”raw_affiation_string“:[”印度赖布尔国家理工学院电子与通信工程系“],”附属“:[{”raw_affiation_string“:”印度国家理工学院电子与通信工程系,赖布尔492010”,“机构ID”:[”https://openalex.org/I38335241“]}]},{”author_position“:”last“,”author“:{”id“:”https://openalex.org/A5086005942“,”display_name“:”Pulkit Singh“,”orcid“:”https://orcid.org/0000-0001-8196-5768},“机构”:[{“id”:https://openalex.org/I38335241“,”display_name“:”国家理工学院Raipur“,”ror“:”https://ror.org/02y553197“,”country_code“:”IN“,”type“:“教育”,”世系“:[”https://openalex.org/I38335241“]}],”国家“:[”IN“],”is_corresponding“:false,”raw_author_name“:”Bibhudendra Acharya“,”raw _ afiliation_strings“:[“印度国家理工学院电子与通信工程系,Raipur 492010”],”affiliations“:”印度国家理工学院电子与通信工程系,Raipur 492010”,“institution_ids”:[“https://openalex.org/I38335241“]}]}],”countries_disticont_count“:1,”institutions_disticent_count”:1,“corresponding_author_ids”:[“https://openalex.org/A5013789759“],”对应的机构ID“:[”https://openalex.org/I38335241“],”apc_list“:null,”apc _ paid“:null,”fwci“:0.511,”has_fulltext“:false,”cited_by_count“:3,”cited_by_percentile_year“:{”min“:81,”max“:84},”biblio“:{volume“:”36“,”issue“:”07“,”first_page“:null',”last_page“:null},“is_retracted”:false“,”is_paratext“:false,”primary_topic“:{”id“:”https://openalex.org/T10812“,”display_name“:”人类动作识别和姿势估计“,”score“:1.0,”subfield“:{”id“:”https://openalex.org/subfields/1707“,”display_name“:”计算机视觉和模式识别“},”字段“:{”id“:”https://openalex.org/fields/17“,”display_name“:”Computer Science“},”domain“:{”id“:”https://openalex.org/domains/3“,”display_name“:”物理科学“}},”主题“:[{”id“:”https://openalex.org/T10812“,”display_name“:”人类动作识别和姿势估计“,”score“:1.0,”subfield“:{”id“:”https://openalex.org/subfields/1707“,”display_name“:”计算机视觉和模式识别“},”字段“:{”id“:”https://openalex.org/fields/17“,”display_name“:”Computer Science“},”domain“:{”id“:”https://openalex.org/domains/3“,”display_name“:”物理科学“}},{”id“:”https://openalex.org/T11398“,”display_name“:”人机交互中的手势识别“,”score“:0.9977,”subfield“:{”id“:”https://openalex.org/subfields/1709“,”display_name“:”人机交互“},”字段“:{”id“:”https://openalex.org/fields/17“,”display_name“:”Computer Science“},”domain“:{”id“:”https://openalex.org/domains/3“,”display_name“:”物理科学“}},{”id“:”https://openalex.org/T12740“,”“display_name”:“步态识别用于人类识别”,“score”:0.9954,“subfield”:{“id”:“https://openalex.org/subfields/2204“,”display_name“:”生物医学工程“},”字段“:{”id“:”https://openalex.org/fields/22“,”display_name“:”Engineering“},”domain“:{”id“:”https://openalex.org/domains/3“,”display_name“:”物理科学“}}],”关键词“:[{”id“:”https://openalex.org/keywords/gesture-recognization网站“,”display_name“:”手势识别“,”score“:0.617387},{”id“:”https://openalex.org/keywords/action-recognization网站“,”display_name“:”动作识别“,”score“:0.611324},{”id“:”https://openalex.org/keywords/pose-estimation网站“,”display_name“:”姿势估计“,”score“:0.588701},{”id“:”https://openalex.org/关键词/3d-human-pose“,”display_name“:”3D人体姿势“,”score“:0.572083},{”id“:”https://openalex.org/keywords/continuous-re认知“,”display_name“:”Continuous Recognition“,”score“:0.563297}],”concepts“:[{”id“:”https://openalex.org/C154945302,“wikidata”:https://www.wikidata.org/wiki/Q11660“,”display_name“:”人工智能“,”level“:1,”score“:0.8221817},{”id“:”https://openalex.org/C41008148,“wikidata”:https://www.wikidata.org/wiki/Q21198“,”display_name“:”计算机科学“,”level“:0,”score“:0.7518002},{”id“:”https://openalex.org/C153180895,“wikidata”:https://www.wikidata.org/wiki/Q7148389“,”display_name“:”模式识别(心理学)“,”level“:2,”score“:0.6786525},{”id“:”https://openalex.org/C97931131,“wikidata”:https://www.wikidata.org/wiki/Q5282087“,”display_name“:”鉴别模型“,”level“:2,”score“:0.6729356},{”id“:”https://openalex.org/C81363708,“wikidata”:https://www.wikidata.org/wiki/Q17084460“,”display_name“:”卷积神经网络“,”level“:2,”score“:0.64369726},{”id“:”https://openalex.org/C78201319,“wikidata”:https://www.wikidata.org/wiki/Q685727“,”display_name“:”灰度“,”level“:3,”score“:0.5965835},{”id“:”https://openalex.org/C115961682,“wikidata”:https://www.wikidata.org/wiki/Q860623“,”display_name“:”图像(数学)“,”level“:2,”score“:0.5529049},{”id“:”https://openalex.org/C2776359362,“wikidata”:https://www.wikidata.org/wiki/Q2145286“,”display_name“:”Representation(politics)“,”level“:3,”score“:0.5218207},{”id“:”https://openalex.org/C160633673,“wikidata”:https://www.wikidata.org/wiki/Q355198“,”display_name“:”像素“,”级别“:2,”分数“:0.4818917},{”id“:”https://openalex.org/C25343380,“wikidata”:https://www.wikidata.org/wiki/Q277521“,”display_name“:”关系(数据库)“,”级别“:2,”分数“:0.4723167},{”id“:”https://openalex.org/C50644808,“wikidata”:https://www.wikidata.org/wiki/Q192776“,”display_name“:”人工神经网络“,”level“:2,”score“:0.43722904},{”id“:”https://openalex.org/C108583219,“wikidata”:https://www.wikidata.org/wiki/Q197536网址“,”display_name“:”深度学习“,”level“:2,”score“:0.42702663},{”id“:”https://openalex.org/C31972630,“wikidata”:https://www.wikidata.org/wiki/Q844240“,”display_name“:”计算机视觉“,”level“:1,”score“:0.42540917},{”id“:”https://openalex.org/C177264268,“wikidata”:https://www.wikidata.org/wiki/Q1514741“,”display_name“:”Set(abstract data type)“,”level“:2,”score“:0.41260183},{”id“:”https://openalex.org/C124101348,“wikidata”:https://www.wikidata.org/wiki/Q172491“,”display_name“:”数据挖掘“,”level“:1,”score“:0.07907128},{”id“:”https://openalex.org/C94625758,“wikidata”:https://www.wikidata.org/wiki/Q7163“,”display_name“:”政治“,”级别“:2,”分数“:0.0},{”id“:”https://openalex.org/C17744445,“wikidata”:https://www.wikidata.org/wiki/Q36442“,”display_name“:”政治学“,”level“:0,”score“:0.0},{”id“:”https://openalex.org/C199539241,“wikidata”:https://www.wikidata.org/wiki/Q7748“,”display_name“:”Law“,”level“:1,”score“:0.0},{”id“:”https://openalex.org/C199360897,“wikidata”:https://www.wikidata.org/wiki/Q9143“,”display_name“:”编程语言“,”level“:1,”score“:0.0}],”mesh“:[],”locations_count“:1.”locations“:[{”is_oa“:false,”landing_page_url“:”https://doi.org/10.1142/s0218001422550126“,”pdf_url“:空,”源“:{”id“:”https://openalex.org/S41486457“,”display_name“:”国际模式识别与人工智能杂志“,”issn_l“:”0218-0014“,”isn“:[”0218-014“,”1793-6381“],”is_oa“:false,”is-in_doaj“:false,”is_core“:true,”host_organization“:”https://openalex.org/P4310318815“,”host_organization_name“:”World Scientific“,”host_organization _lineage“:[”https://openalex.org/P4310318815“],”host_organization_lineage_names“:[”World Scientific“],“type”:“journal”},“license”:null,“licence_id”:null,“version”:null,“is_accepted”:false,“is_published”:false}],“best_oa_location”:nul,“sustainable_development_goals”:[{“id”:“https://metadata.un.org/sdg/10“,”display_name“:”Reduced不等式“,”score“:0.74}],”grants“:[],”datasets“:[],”versions“:[】,”referenced_works_count“:43,”referrenced_works“:【”https://openalex.org/W1522734439","https://openalex.org/W1861492603","https://openalex.org/W1923404803","https://openalex.org/W1936750108","https://openalex.org/W1983705368","https://openalex.org/W1988115241","https://openalex.org/W1997691213","https://openalex.org/W2007307031","https://openalex.org/W2022633861","https://openalex.org/W2031489346","https://openalex.org/W2041557010","https://openalex.org/W2048821851","https://openalex.org/W2058256495","https://openalex.org/W2106425441","https://openalex.org/W2112796928","https://openalex.org/W2117539524","https://openalex.org/W2175012183","https://openalex.org/W2307770531","https://openalex.org/W2342662179","https://openalex.org/W2382036597","https://openalex.org/W2413641397","https://openalex.org/W2462996230","https://openalex.org/W2508429489","https://openalex.org/W2510185399","https://openalex.org/W2510392475","https://openalex.org/W2554082109","https://openalex.org/W2559085405","https://openalex.org/W2606294640","https://openalex.org/W2618530766","https://openalex.org/W2620105270","https://openalex.org/W2728972335","https://openalex.org/W2747474452","https://openalex.org/W2798721181","https://openalex.org/W2886960402","https://openalex.org/W2948246283","https://openalex.org/W2963405520","https://openalex.org/W2998086661","https://openalex.org/W3008798487","https://openalex.org/W3016369555","https://openalex.org/W3036218864","https://openalex.org/W3098538019","https://openalex.org/W3123784868","https://openalex.org/W4386207016“],”related_works“:[”https://openalex.org/W4319994054","https://openalex.org/W2914959431","https://openalex.org/W2738221750","https://openalex.org/W2546871836","https://openalex.org/W2433461236","https://openalex.org/W2184652563","https://openalex.org/W2136485282","https://openalex.org/W2131104905","https://openalex.org/W2107877995","https://openalex.org/W2039904248“],”ngrams_url“:”https://api.openalex.org/works/W4213210762/ngrams网站“,”“abstract_inverted_index”:{“Body”:[0],“pose”:[1],“analysis”:[2],“is”:[3],“an”:[4],“important”:[5],“factor”:【6],“of”:[7,51,75,91],“human”:【8】,“action”:【9,63】,“recognition”:【10】,“Recent”:【11】,“the”:【12125168】,“proposed”:【13161】,“Reverrent”:【14】,“Neural”:【15,59,99],“网络”:[16],“(RNN)”:[17],“和”:[18,83153],“深度”:[19,45],“ConvNets-based“:[20],”methods“:[21],”are“:[22110],”showing“:[23],”good“:[24,32],”performances“:[25],”in“:[26,65112],”learning“:[27],”sequential“:[28],”information。“:[29],“尽管”:[30],“这些”:[31],“性能”,:[33],“RNN”:[34],“缺少”:[35],“到”:[36,85,87102127138167],“高效”:[37],“学习”:[38,88103128],“空间”:[39],“关系”:[40],“介于”:[41,72132],“正文”:[42,76140],“部分”:[43],“while”:[44],“ConvNets”:[46],”要求“:[47],”a“:[48,57,73,80118],”巨大“:[49],”金额“:[50],”数据“:[52],”用于“:[53,62,79]”培训。“:[54],”我们“:[55,68,94143],”提议“:[56,96],”基于距离“:[58,97],”网络“:[60100],”(DNN)“:[61],”识别“:[64],”静态“:[66],”图像。“:[67107],”计算“:[69],”有效“:[70,89],”距离“:[71109],”集合“:[74],”部分“:[77141],”对“:[78],”给定“:[81],”图像“:[82115],”馈送“:[84],”DNN“:[86],”表示“:[90123],”复杂“:[92],”动作。“:[93],”也“:[95],”卷积“:[98],”(DCNN)“:[101],”表示“:[104],”from“:[105],”2D“:[106113122],”The“:[108],”重排“:[111],”灰度“:[114],”称为“:[116],”如“:[117],”距离“:[119],”图像“。“:[120],”This“:[121],”allows“:[124],”network“:[126],”specific“:[129],”discriminative“:[130],”information“:[131],”neighbor“:[133],”pixel“:[134],”distance“:[135],”values“:[136],”对应“:[137],”different“:[139],”对。“:[142],”evaluate“:[144],”our“:[145160],”method“:[146162],”on“:[147],”two“:[148],”really“:[149],”dataset“:[150],”即“:[151],”UT-Interaction“:[152],”SBU“:[154],”Kinect“:%155],”Interaction“。“:[156],“结果”:[157],“显示”:[158],“那”:[159],“实现”:[163],“更好”:[164],“性能”:[165],“比较”:[166],“最先进”:[169],“方法。“:[170]},”cited_by_api_url“:”https://api.openalex.org/works?filter=cites:W4213210762“,”counts_by_year“:[{”年份“:2024,”cited_by_count“:1},{”年“:2022,”cited_by_count”:2}],”更新日期“:“2024-06-30T04:37:31.468966”,”创建日期“:”2022-02-24“}