{"id":"https://openalex.org/W2515630407","doi":"https://doi.org/10.1109/icip.2016.7532940","title":"Gait recognition based on 3D skeleton joints captured by kinect","display_name":"Gait recognition based on 3D skeleton joints captured by kinect","publication_year":2016,"publication_date":"2016-08-17","ids":{"openalex":"https://openalex.org/W2515630407","doi":"https://doi.org/10.1109/icip.2016.7532940","mag":"2515630407"},"language":"en","primary_location":{"id":"doi:10.1109/icip.2016.7532940","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icip.2016.7532940","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2016 IEEE International Conference on Image Processing (ICIP)","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/A5100374825","display_name":"Yufei Wang","orcid":"https://orcid.org/0000-0002-4281-4673"},"institutions":[{"id":"https://openalex.org/I154099455","display_name":"Shandong University","ror":"https://ror.org/0207yh398","country_code":"CN","type":"education","lineage":["https://openalex.org/I154099455"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Yufei Wang","raw_affiliation_strings":["School of Information Science and Engineering, Shandong University, Jinan, China"],"affiliations":[{"raw_affiliation_string":"School of Information Science and Engineering, Shandong University, Jinan, China","institution_ids":["https://openalex.org/I154099455"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5080244427","display_name":"Jiande Sun","orcid":"https://orcid.org/0000-0001-6157-2051"},"institutions":[{"id":"https://openalex.org/I28006308","display_name":"Shandong Normal University","ror":"https://ror.org/01wy3h363","country_code":"CN","type":"education","lineage":["https://openalex.org/I28006308"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jiande Sun","raw_affiliation_strings":["School of Information Science and Engineering, Shandong Normal University, Jinan, China"],"affiliations":[{"raw_affiliation_string":"School of Information Science and Engineering, Shandong Normal University, Jinan, China","institution_ids":["https://openalex.org/I28006308"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100337019","display_name":"Jing Li","orcid":"https://orcid.org/0000-0002-9132-6684"},"institutions":[{"id":"https://openalex.org/I4210097214","display_name":"Shandong Management University","ror":"https://ror.org/00vzprm14","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210097214"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jing Li","raw_affiliation_strings":["School of Mechanical and Electrical Engineering, Shandong Management University, Jinan, China"],"affiliations":[{"raw_affiliation_string":"School of Mechanical and Electrical Engineering, Shandong Management University, Jinan, China","institution_ids":["https://openalex.org/I4210097214"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5101979974","display_name":"Dong Zhao","orcid":"https://orcid.org/0000-0002-3991-9570"},"institutions":[{"id":"https://openalex.org/I154099455","display_name":"Shandong University","ror":"https://ror.org/0207yh398","country_code":"CN","type":"education","lineage":["https://openalex.org/I154099455"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Dong Zhao","raw_affiliation_strings":["School of Information Science and Engineering, Shandong University, Jinan, China"],"affiliations":[{"raw_affiliation_string":"School of Information Science and Engineering, Shandong University, Jinan, China","institution_ids":["https://openalex.org/I154099455"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5100374825"],"corresponding_institution_ids":["https://openalex.org/I154099455"],"apc_list":null,"apc_paid":null,"fwci":1.8804,"has_fulltext":false,"cited_by_count":55,"citation_normalized_percentile":{"value":0.85127622,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":96,"max":99},"biblio":{"volume":null,"issue":null,"first_page":"3151","last_page":"3155"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12740","display_name":"Gait Recognition and Analysis","score":1.0,"subfield":{"id":"https://openalex.org/subfields/2204","display_name":"Biomedical Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T12740","display_name":"Gait Recognition and Analysis","score":1.0,"subfield":{"id":"https://openalex.org/subfields/2204","display_name":"Biomedical 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/T10812","display_name":"Human Pose and Action Recognition","score":0.9891999959945679,"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":0.9846000075340271,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/silhouette","display_name":"Silhouette","score":0.9154371023178101},{"id":"https://openalex.org/keywords/gait","display_name":"Gait","score":0.7489900588989258},{"id":"https://openalex.org/keywords/robustness","display_name":"Robustness (evolution)","score":0.7388045191764832},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.7205647230148315},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7007880210876465},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.6693612337112427},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.4712189733982086},{"id":"https://openalex.org/keywords/gait-analysis","display_name":"Gait analysis","score":0.46873149275779724},{"id":"https://openalex.org/keywords/matching","display_name":"Matching (statistics)","score":0.46854910254478455},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.1131257712841034}],"concepts":[{"id":"https://openalex.org/C58103923","wikidata":"https://www.wikidata.org/wiki/Q2286025","display_name":"Silhouette","level":2,"score":0.9154371023178101},{"id":"https://openalex.org/C151800584","wikidata":"https://www.wikidata.org/wiki/Q2370000","display_name":"Gait","level":2,"score":0.7489900588989258},{"id":"https://openalex.org/C63479239","wikidata":"https://www.wikidata.org/wiki/Q7353546","display_name":"Robustness (evolution)","level":3,"score":0.7388045191764832},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7205647230148315},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7007880210876465},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.6693612337112427},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.4712189733982086},{"id":"https://openalex.org/C173906292","wikidata":"https://www.wikidata.org/wiki/Q1493441","display_name":"Gait analysis","level":3,"score":0.46873149275779724},{"id":"https://openalex.org/C165064840","wikidata":"https://www.wikidata.org/wiki/Q1321061","display_name":"Matching (statistics)","level":2,"score":0.46854910254478455},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.1131257712841034},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.0},{"id":"https://openalex.org/C42407357","wikidata":"https://www.wikidata.org/wiki/Q521","display_name":"Physiology","level":1,"score":0.0},{"id":"https://openalex.org/C55493867","wikidata":"https://www.wikidata.org/wiki/Q7094","display_name":"Biochemistry","level":1,"score":0.0},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.0},{"id":"https://openalex.org/C104317684","wikidata":"https://www.wikidata.org/wiki/Q7187","display_name":"Gene","level":2,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icip.2016.7532940","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icip.2016.7532940","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2016 IEEE International Conference on Image Processing (ICIP)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":22,"referenced_works":["https://openalex.org/W90353859","https://openalex.org/W1570350587","https://openalex.org/W1979856851","https://openalex.org/W1980105143","https://openalex.org/W1982278701","https://openalex.org/W1984031350","https://openalex.org/W1986044032","https://openalex.org/W2018331988","https://openalex.org/W2062313828","https://openalex.org/W2092549804","https://openalex.org/W2103453807","https://openalex.org/W2104335344","https://openalex.org/W2104475159","https://openalex.org/W2115203491","https://openalex.org/W2148568366","https://openalex.org/W2151458682","https://openalex.org/W2154171558","https://openalex.org/W2165744315","https://openalex.org/W4285719527","https://openalex.org/W6603697666","https://openalex.org/W6634278545","https://openalex.org/W6675575696"],"related_works":["https://openalex.org/W120096811","https://openalex.org/W2923160319","https://openalex.org/W2945912943","https://openalex.org/W4254098118","https://openalex.org/W2587763979","https://openalex.org/W2133973503","https://openalex.org/W2471060339","https://openalex.org/W2111603423","https://openalex.org/W2148547327","https://openalex.org/W2125892956"],"abstract_inverted_index":{"2D-video-based":[0],"gait":[1,45,91,99,113],"recognition":[2,100,114,131,148],"techniques":[3],"have":[4],"been":[5],"studied":[6],"for":[7,90,102],"decades,":[8],"but":[9],"there":[10],"are":[11,82,85,108],"still":[12],"many":[13],"challenges,":[14],"one":[15],"of":[16,24,52,120,153],"which":[17,47,84,129],"is":[18,36,74,126,132],"the":[19,22,30,53,57,77,95,98,103,118,121,130,135,143,151],"robustness":[20],"against":[21,150],"variation":[23,152],"view":[25,154],"angle.":[26,155],"In":[27],"this":[28,68],"paper,":[29],"second":[31],"generation":[32],"Kinect":[33,64],"(Kinect":[34],"V2)":[35],"used":[37],"as":[38],"a":[39,43,70,112],"tool":[40],"to":[41,87,94],"establish":[42],"3D-skeleton-based":[44],"database,":[46],"includes":[48],"both":[49],"3D":[50],"information":[51],"skeleton":[54],"joints":[55],"and":[56,76,79,105,111,123],"corresponding":[58],"2D":[59],"silhouette":[60],"images":[61],"captured":[62],"by":[63,134],"V2.":[65],"Based":[66],"on":[67,117],"dataset,":[69],"human":[71],"walking":[72,96],"model":[73],"built,":[75],"static":[78,104,122],"dynamic":[80,106,124],"features":[81,107,125],"extracted,":[83],"verified":[86],"be":[88],"view-invariant":[89],"recognition.":[92],"Referring":[93],"model,":[97],"abilities":[101],"investigated":[109],"respectively":[110],"scheme":[115,145],"based":[116],"matching-level-fusion":[119],"proposed,":[127],"in":[128],"achieved":[133],"nearest":[136],"neighbor":[137],"classification":[138],"method.":[139],"Experiments":[140],"show":[141],"that":[142],"proposed":[144],"has":[146],"robust":[147],"performance":[149]},"counts_by_year":[{"year":2025,"cited_by_count":9},{"year":2024,"cited_by_count":5},{"year":2023,"cited_by_count":6},{"year":2022,"cited_by_count":8},{"year":2021,"cited_by_count":12},{"year":2020,"cited_by_count":4},{"year":2019,"cited_by_count":5},{"year":2018,"cited_by_count":3},{"year":2017,"cited_by_count":3}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
