{"id":"https://openalex.org/W4317384068","doi":"https://doi.org/10.1109/robio55434.2022.10011783","title":"Continuous Perception Garment Classification Based on Optical Flow Variation","display_name":"Continuous Perception Garment Classification Based on Optical Flow Variation","publication_year":2022,"publication_date":"2022-12-05","ids":{"openalex":"https://openalex.org/W4317384068","doi":"https://doi.org/10.1109/robio55434.2022.10011783"},"language":"en","primary_location":{"id":"doi:10.1109/robio55434.2022.10011783","is_oa":false,"landing_page_url":"http://dx.doi.org/10.1109/robio55434.2022.10011783","pdf_url":null,"source":{"id":"https://openalex.org/S4363607789","display_name":"2022 IEEE International Conference on Robotics and Biomimetics (ROBIO)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2022 IEEE International Conference on Robotics and Biomimetics (ROBIO)","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/A5101455255","display_name":"Li Huang","orcid":"https://orcid.org/0000-0002-0980-2179"},"institutions":[{"id":"https://openalex.org/I76130692","display_name":"Zhejiang University","ror":"https://ror.org/00a2xv884","country_code":"CN","type":"education","lineage":["https://openalex.org/I76130692"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Li Huang","raw_affiliation_strings":["Zhejiang University,Institute of Advanced Digital Technologies and Instrumentation,Hangzhou,China,310027"],"affiliations":[{"raw_affiliation_string":"Zhejiang University,Institute of Advanced Digital Technologies and Instrumentation,Hangzhou,China,310027","institution_ids":["https://openalex.org/I76130692"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5103090984","display_name":"Tong Yang","orcid":"https://orcid.org/0000-0002-2276-8534"},"institutions":[{"id":"https://openalex.org/I55712492","display_name":"Zhejiang University of Technology","ror":"https://ror.org/02djqfd08","country_code":"CN","type":"education","lineage":["https://openalex.org/I55712492"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Tong Yang","raw_affiliation_strings":["Zhejiang University,State Key Laboratory of Industrial Control and Technology,China,310027"],"affiliations":[{"raw_affiliation_string":"Zhejiang University,State Key Laboratory of Industrial Control and Technology,China,310027","institution_ids":["https://openalex.org/I55712492"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100433609","display_name":"Yu Zhang","orcid":"https://orcid.org/0000-0002-7140-5414"},"institutions":[{"id":"https://openalex.org/I76130692","display_name":"Zhejiang University","ror":"https://ror.org/00a2xv884","country_code":"CN","type":"education","lineage":["https://openalex.org/I76130692"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yu Zhang","raw_affiliation_strings":["Zhejiang University,Institute of Advanced Digital Technologies and Instrumentation,Hangzhou,China,310027"],"affiliations":[{"raw_affiliation_string":"Zhejiang University,Institute of Advanced Digital Technologies and Instrumentation,Hangzhou,China,310027","institution_ids":["https://openalex.org/I76130692"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5028024624","display_name":"Rongxin Jiang","orcid":"https://orcid.org/0000-0001-7901-3047"},"institutions":[{"id":"https://openalex.org/I76130692","display_name":"Zhejiang University","ror":"https://ror.org/00a2xv884","country_code":"CN","type":"education","lineage":["https://openalex.org/I76130692"]},{"id":"https://openalex.org/I4210141176","display_name":"Communication University of Zhejiang","ror":"https://ror.org/04t7gxr16","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210141176"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Rongxin Jiang-","raw_affiliation_strings":["Zhejiang University,Institute of Advanced Digital Technologies and Instrumentation,Hangzhou,China,310027","Zhejiang Provincial Key Laboratory for Network Multimedia Technology, Hangzhou, China"],"affiliations":[{"raw_affiliation_string":"Zhejiang University,Institute of Advanced Digital Technologies and Instrumentation,Hangzhou,China,310027","institution_ids":["https://openalex.org/I76130692"]},{"raw_affiliation_string":"Zhejiang Provincial Key Laboratory for Network Multimedia Technology, Hangzhou, China","institution_ids":["https://openalex.org/I4210141176"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5102008887","display_name":"Xiang Tian","orcid":"https://orcid.org/0000-0003-0735-8454"},"institutions":[{"id":"https://openalex.org/I4210141176","display_name":"Communication University of Zhejiang","ror":"https://ror.org/04t7gxr16","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210141176"]},{"id":"https://openalex.org/I76130692","display_name":"Zhejiang University","ror":"https://ror.org/00a2xv884","country_code":"CN","type":"education","lineage":["https://openalex.org/I76130692"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xiang Tian","raw_affiliation_strings":["Zhejiang University,Institute of Advanced Digital Technologies and Instrumentation,Hangzhou,China,310027","Zhejiang Provincial Key Laboratory for Network Multimedia Technology, Hangzhou, China"],"affiliations":[{"raw_affiliation_string":"Zhejiang University,Institute of Advanced Digital Technologies and Instrumentation,Hangzhou,China,310027","institution_ids":["https://openalex.org/I76130692"]},{"raw_affiliation_string":"Zhejiang Provincial Key Laboratory for Network Multimedia Technology, Hangzhou, China","institution_ids":["https://openalex.org/I4210141176"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5101455174","display_name":"Yaowu Chen","orcid":"https://orcid.org/0000-0001-7266-1535"},"institutions":[{"id":"https://openalex.org/I76130692","display_name":"Zhejiang University","ror":"https://ror.org/00a2xv884","country_code":"CN","type":"education","lineage":["https://openalex.org/I76130692"]},{"id":"https://openalex.org/I1327237609","display_name":"Ministry of Education of the People's Republic of China","ror":"https://ror.org/01mv9t934","country_code":"CN","type":"funder","lineage":["https://openalex.org/I1327237609","https://openalex.org/I4210127390"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yaowu Chen","raw_affiliation_strings":["Zhejiang University,Institute of Advanced Digital Technologies and Instrumentation,Hangzhou,China,310027","Ministry of Education of China, Embedded System Engineering Research Center, Hangzhou, China"],"affiliations":[{"raw_affiliation_string":"Zhejiang University,Institute of Advanced Digital Technologies and Instrumentation,Hangzhou,China,310027","institution_ids":["https://openalex.org/I76130692"]},{"raw_affiliation_string":"Ministry of Education of China, Embedded System Engineering Research Center, Hangzhou, China","institution_ids":["https://openalex.org/I1327237609"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":6,"corresponding_author_ids":["https://openalex.org/A5101455255"],"corresponding_institution_ids":["https://openalex.org/I76130692"],"apc_list":null,"apc_paid":null,"fwci":0.0598,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.34594906,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":94},"biblio":{"volume":null,"issue":null,"first_page":"391","last_page":"396"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10531","display_name":"Advanced Vision and Imaging","score":0.9958999752998352,"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/T10531","display_name":"Advanced Vision and Imaging","score":0.9958999752998352,"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/T11019","display_name":"Image Enhancement Techniques","score":0.9787999987602234,"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/T10775","display_name":"Generative Adversarial Networks and Image Synthesis","score":0.9758999943733215,"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/artificial-intelligence","display_name":"Artificial intelligence","score":0.7044024467468262},{"id":"https://openalex.org/keywords/classifier","display_name":"Classifier (UML)","score":0.6697389483451843},{"id":"https://openalex.org/keywords/optical-flow","display_name":"Optical flow","score":0.6608656644821167},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6154226064682007},{"id":"https://openalex.org/keywords/traverse","display_name":"Traverse","score":0.521734356880188},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.5093163251876831},{"id":"https://openalex.org/keywords/contextual-image-classification","display_name":"Contextual image classification","score":0.47090959548950195},{"id":"https://openalex.org/keywords/perception","display_name":"Perception","score":0.4640926718711853},{"id":"https://openalex.org/keywords/support-vector-machine","display_name":"Support vector machine","score":0.4124450981616974},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.40229442715644836},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.3510231673717499}],"concepts":[{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7044024467468262},{"id":"https://openalex.org/C95623464","wikidata":"https://www.wikidata.org/wiki/Q1096149","display_name":"Classifier (UML)","level":2,"score":0.6697389483451843},{"id":"https://openalex.org/C155542232","wikidata":"https://www.wikidata.org/wiki/Q736111","display_name":"Optical flow","level":3,"score":0.6608656644821167},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6154226064682007},{"id":"https://openalex.org/C176809094","wikidata":"https://www.wikidata.org/wiki/Q15401496","display_name":"Traverse","level":2,"score":0.521734356880188},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5093163251876831},{"id":"https://openalex.org/C75294576","wikidata":"https://www.wikidata.org/wiki/Q5165192","display_name":"Contextual image classification","level":3,"score":0.47090959548950195},{"id":"https://openalex.org/C26760741","wikidata":"https://www.wikidata.org/wiki/Q160402","display_name":"Perception","level":2,"score":0.4640926718711853},{"id":"https://openalex.org/C12267149","wikidata":"https://www.wikidata.org/wiki/Q282453","display_name":"Support vector machine","level":2,"score":0.4124450981616974},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.40229442715644836},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.3510231673717499},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.0},{"id":"https://openalex.org/C169760540","wikidata":"https://www.wikidata.org/wiki/Q207011","display_name":"Neuroscience","level":1,"score":0.0},{"id":"https://openalex.org/C13280743","wikidata":"https://www.wikidata.org/wiki/Q131089","display_name":"Geodesy","level":1,"score":0.0},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/robio55434.2022.10011783","is_oa":false,"landing_page_url":"http://dx.doi.org/10.1109/robio55434.2022.10011783","pdf_url":null,"source":{"id":"https://openalex.org/S4363607789","display_name":"2022 IEEE International Conference on Robotics and Biomimetics (ROBIO)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2022 IEEE International Conference on Robotics and Biomimetics (ROBIO)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/16","display_name":"Peace, Justice and strong institutions","score":0.8100000023841858}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":26,"referenced_works":["https://openalex.org/W566166310","https://openalex.org/W971672672","https://openalex.org/W1578285471","https://openalex.org/W1581896395","https://openalex.org/W1595452285","https://openalex.org/W1608488458","https://openalex.org/W2032200462","https://openalex.org/W2047444538","https://openalex.org/W2086139208","https://openalex.org/W2105537999","https://openalex.org/W2133353747","https://openalex.org/W2141793005","https://openalex.org/W2142697602","https://openalex.org/W2405770708","https://openalex.org/W2409850953","https://openalex.org/W2418298700","https://openalex.org/W2530616813","https://openalex.org/W2612742916","https://openalex.org/W2903126422","https://openalex.org/W2909498462","https://openalex.org/W2946970867","https://openalex.org/W2963622343","https://openalex.org/W3015685710","https://openalex.org/W3138963505","https://openalex.org/W4226284630","https://openalex.org/W4289950803"],"related_works":["https://openalex.org/W2377402383","https://openalex.org/W2380835401","https://openalex.org/W2381912691","https://openalex.org/W2350381577","https://openalex.org/W2353618196","https://openalex.org/W2348074676","https://openalex.org/W2385033175","https://openalex.org/W2374043190","https://openalex.org/W2005234362","https://openalex.org/W1997235926"],"abstract_inverted_index":{"A":[0],"novel":[1],"continuous":[2,49],"perception":[3],"garment":[4,22,73,148,163,175,200],"classification":[5,67,85],"mechanism":[6],"is":[7,118,132,201],"proposed":[8,212,227],"in":[9,214],"this":[10,98],"paper,":[11,99],"with":[12],"the":[13,17,21,36,48,84,94,102,121,125,134,140,147,154,160,174,180,184,188,195,199,207,211,223,226],"aim":[14],"to":[15,35,65],"identify":[16],"correct":[18],"category":[19,156,182],"of":[20,26,42,47,51,56,87,106,115,124,136,142,146,162,173,225],"from":[23],"a":[24,45,54,77,113,215],"set":[25,55],"known":[27],"categories.":[28],"It":[29],"has":[30],"been":[31,219],"observed":[32],"that":[33,82,130,158,191,198],"due":[34],"severe":[37],"folding":[38],"and":[39,210],"overlapped":[40],"texture":[41],"garments,":[43],"treating":[44],"video":[46,137],"deformation":[50],"cloth":[52,108],"as":[53,112,179],"disordered":[57],"static":[58],"figures":[59],"would":[60,91],"be":[61,177],"ineffective":[62],"which":[63,221],"leads":[64],"low":[66],"precision":[68],"performed":[69],"by":[70,183],"an":[71],"image-based":[72,126,185],"classifier.":[74,127],"In":[75,97,165],"contrast,":[76],"high-level":[78],"decision":[79],"making":[80],"module":[81],"leverages":[83],"results":[86],"each":[88],"single":[89],"image":[90],"significantly":[92],"increase":[93],"algorithm":[95,209,213],"performance.":[96],"we":[100],"incorporate":[101],"optical":[103,143],"flow":[104,144],"variation":[105,145],"deformable":[107],"between":[109,150,206],"consecutive":[110,151,170],"configurations":[111,193],"representative":[114],"how":[116],"it":[117,131],"traversing":[119],"within":[120],"confidence":[122],"interval":[123],"We":[128],"claim":[129],"not":[133],"number":[135],"frames":[138,152],"but":[139],"sum":[141],"configuration":[149],"having":[153],"same":[155,181],"label":[157],"constitutes":[159],"belief":[161],"classification.":[164],"other":[166],"words,":[167],"if":[168],"two":[169,192],"visual":[171],"appearances":[172],"could":[176],"identified":[178],"classifier,":[186],"then":[187],"more":[189,196],"diverged":[190],"are,":[194],"confident":[197],"correctly":[202],"identified.":[203],"Experimental":[204],"comparisons":[205],"state-of-the-art":[208],"public":[216],"dataset":[217],"have":[218],"provided":[220],"prove":[222],"validity":[224],"algorithm.":[228]},"counts_by_year":[{"year":2023,"cited_by_count":1}],"updated_date":"2025-12-24T23:09:58.560324","created_date":"2025-10-10T00:00:00"}
