{"id":"https://openalex.org/W2754369779","doi":"https://doi.org/10.1109/tii.2017.2751072","title":"On Multiscale Self-Similarities Description for Effective Three-Dimensional/Six-Dimensional Motion Trajectory Recognition","display_name":"On Multiscale Self-Similarities Description for Effective Three-Dimensional/Six-Dimensional Motion Trajectory Recognition","publication_year":2017,"publication_date":"2017-09-11","ids":{"openalex":"https://openalex.org/W2754369779","doi":"https://doi.org/10.1109/tii.2017.2751072","mag":"2754369779"},"language":"en","primary_location":{"id":"doi:10.1109/tii.2017.2751072","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tii.2017.2751072","pdf_url":null,"source":{"id":"https://openalex.org/S184777250","display_name":"IEEE Transactions on Industrial Informatics","issn_l":"1551-3203","issn":["1551-3203","1941-0050"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Industrial Informatics","raw_type":"journal-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/A5018695663","display_name":"Yao Guo","orcid":"https://orcid.org/0000-0001-8041-1245"},"institutions":[{"id":"https://openalex.org/I168719708","display_name":"City University of Hong Kong","ror":"https://ror.org/03q8dnn23","country_code":"HK","type":"education","lineage":["https://openalex.org/I168719708"]}],"countries":["HK"],"is_corresponding":false,"raw_author_name":"Yao Guo","raw_affiliation_strings":["Department of Mechanical and Biomedical Engineering, City University of Hong Kong, Hong Kong"],"raw_orcid":"https://orcid.org/0000-0001-8041-1245","affiliations":[{"raw_affiliation_string":"Department of Mechanical and Biomedical Engineering, City University of Hong Kong, Hong Kong","institution_ids":["https://openalex.org/I168719708"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100642147","display_name":"Youfu Li","orcid":"https://orcid.org/0000-0002-5227-1326"},"institutions":[{"id":"https://openalex.org/I168719708","display_name":"City University of Hong Kong","ror":"https://ror.org/03q8dnn23","country_code":"HK","type":"education","lineage":["https://openalex.org/I168719708"]}],"countries":["HK"],"is_corresponding":false,"raw_author_name":"You-Fu Li","raw_affiliation_strings":["Department of Mechanical and Biomedical Engineering, City University of Hong Kong, Hong Kong"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Mechanical and Biomedical Engineering, City University of Hong Kong, Hong Kong","institution_ids":["https://openalex.org/I168719708"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5003260829","display_name":"Zhanpeng Shao","orcid":"https://orcid.org/0000-0002-8130-5230"},"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":"Zhanpeng Shao","raw_affiliation_strings":["College of Computer Science and Technology, Zhejiang University of Technology, Hangzhou, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"College of Computer Science and Technology, Zhejiang University of Technology, Hangzhou, China","institution_ids":["https://openalex.org/I55712492"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.3608,"has_fulltext":false,"cited_by_count":6,"citation_normalized_percentile":{"value":0.68753555,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":97},"biblio":{"volume":"13","issue":"6","first_page":"3017","last_page":"3026"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10812","display_name":"Human Pose and Action Recognition","score":0.9997000098228455,"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/T10812","display_name":"Human Pose and Action Recognition","score":0.9997000098228455,"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/T11512","display_name":"Anomaly Detection Techniques and Applications","score":0.9933000206947327,"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/T12740","display_name":"Gait Recognition and Analysis","score":0.9927999973297119,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.7689143419265747},{"id":"https://openalex.org/keywords/trajectory","display_name":"Trajectory","score":0.6260440349578857},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.6015270352363586},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.5468437671661377},{"id":"https://openalex.org/keywords/kernel","display_name":"Kernel (algebra)","score":0.5355021953582764},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5296599268913269},{"id":"https://openalex.org/keywords/motion-estimation","display_name":"Motion estimation","score":0.47421932220458984},{"id":"https://openalex.org/keywords/motion","display_name":"Motion (physics)","score":0.46633386611938477},{"id":"https://openalex.org/keywords/motion-field","display_name":"Motion field","score":0.46448856592178345},{"id":"https://openalex.org/keywords/euclidean-distance","display_name":"Euclidean distance","score":0.4574228525161743},{"id":"https://openalex.org/keywords/invariant","display_name":"Invariant (physics)","score":0.44330644607543945},{"id":"https://openalex.org/keywords/similarity","display_name":"Similarity (geometry)","score":0.4249418377876282},{"id":"https://openalex.org/keywords/histogram","display_name":"Histogram","score":0.42008817195892334},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.40693289041519165},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.13576114177703857}],"concepts":[{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7689143419265747},{"id":"https://openalex.org/C13662910","wikidata":"https://www.wikidata.org/wiki/Q193139","display_name":"Trajectory","level":2,"score":0.6260440349578857},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.6015270352363586},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5468437671661377},{"id":"https://openalex.org/C74193536","wikidata":"https://www.wikidata.org/wiki/Q574844","display_name":"Kernel (algebra)","level":2,"score":0.5355021953582764},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5296599268913269},{"id":"https://openalex.org/C10161872","wikidata":"https://www.wikidata.org/wiki/Q557891","display_name":"Motion estimation","level":2,"score":0.47421932220458984},{"id":"https://openalex.org/C104114177","wikidata":"https://www.wikidata.org/wiki/Q79782","display_name":"Motion (physics)","level":2,"score":0.46633386611938477},{"id":"https://openalex.org/C124774092","wikidata":"https://www.wikidata.org/wiki/Q6917782","display_name":"Motion field","level":3,"score":0.46448856592178345},{"id":"https://openalex.org/C120174047","wikidata":"https://www.wikidata.org/wiki/Q847073","display_name":"Euclidean distance","level":2,"score":0.4574228525161743},{"id":"https://openalex.org/C190470478","wikidata":"https://www.wikidata.org/wiki/Q2370229","display_name":"Invariant (physics)","level":2,"score":0.44330644607543945},{"id":"https://openalex.org/C103278499","wikidata":"https://www.wikidata.org/wiki/Q254465","display_name":"Similarity (geometry)","level":3,"score":0.4249418377876282},{"id":"https://openalex.org/C53533937","wikidata":"https://www.wikidata.org/wiki/Q185020","display_name":"Histogram","level":3,"score":0.42008817195892334},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.40693289041519165},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.13576114177703857},{"id":"https://openalex.org/C1276947","wikidata":"https://www.wikidata.org/wiki/Q333","display_name":"Astronomy","level":1,"score":0.0},{"id":"https://openalex.org/C114614502","wikidata":"https://www.wikidata.org/wiki/Q76592","display_name":"Combinatorics","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/C37914503","wikidata":"https://www.wikidata.org/wiki/Q156495","display_name":"Mathematical physics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/tii.2017.2751072","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tii.2017.2751072","pdf_url":null,"source":{"id":"https://openalex.org/S184777250","display_name":"IEEE Transactions on Industrial Informatics","issn_l":"1551-3203","issn":["1551-3203","1941-0050"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Industrial Informatics","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G1383979613","display_name":null,"funder_award_id":"61673329","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":38,"referenced_works":["https://openalex.org/W1542199798","https://openalex.org/W1595823061","https://openalex.org/W1823409095","https://openalex.org/W1965425958","https://openalex.org/W1971745161","https://openalex.org/W1985323353","https://openalex.org/W2022851344","https://openalex.org/W2025632878","https://openalex.org/W2029651301","https://openalex.org/W2054661770","https://openalex.org/W2056402417","https://openalex.org/W2070439088","https://openalex.org/W2081681829","https://openalex.org/W2086441628","https://openalex.org/W2087736088","https://openalex.org/W2092272787","https://openalex.org/W2098231892","https://openalex.org/W2098368939","https://openalex.org/W2100968369","https://openalex.org/W2102162967","https://openalex.org/W2141057577","https://openalex.org/W2145221867","https://openalex.org/W2149377129","https://openalex.org/W2155557617","https://openalex.org/W2156001766","https://openalex.org/W2161969291","https://openalex.org/W2165168736","https://openalex.org/W2290656916","https://openalex.org/W2294043544","https://openalex.org/W2295959708","https://openalex.org/W2313507061","https://openalex.org/W2321079037","https://openalex.org/W2395151488","https://openalex.org/W2521191701","https://openalex.org/W4247728098","https://openalex.org/W4249625263","https://openalex.org/W6638489661","https://openalex.org/W6682241156"],"related_works":["https://openalex.org/W2095989223","https://openalex.org/W2144043954","https://openalex.org/W2029249305","https://openalex.org/W1562288862","https://openalex.org/W2115571026","https://openalex.org/W2687972263","https://openalex.org/W2511137960","https://openalex.org/W2278250695","https://openalex.org/W2610014769","https://openalex.org/W2000407620"],"abstract_inverted_index":{"Motion":[0],"trajectories":[1,29],"provide":[2],"compact":[3],"informative":[4],"clues":[5],"in":[6,37,57,70],"characterizing":[7],"motion":[8,28,35,45,55,117],"behaviors":[9],"of":[10,63,84,140],"human":[11],"bodies,":[12],"robots,":[13],"and":[14,22,47,66,138],"moving":[15],"objects.":[16],"This":[17],"paper":[18],"devises":[19],"an":[20,102],"invariant":[21],"unified":[23],"descriptor":[24],"for":[25],"three-dimensional/six-dimensional":[26],"(3-D/6-D)":[27],"recognition":[30,119],"by":[31,108],"exploring":[32],"the":[33,38,82,90,96,110,136,141],"latent":[34],"patterns":[36],"multiscale":[39],"self-similarity":[40],"matrices":[41,65],"(MSM)":[42],"within":[43],"a":[44,54,61,78,126],"trajectory":[46,56,98,118],"its":[48],"components.":[49],"The":[50],"MSM":[51,91,105],"approach":[52],"transforms":[53],"Euclidean":[58],"space":[59],"into":[60],"set":[62],"similarity":[64],"exhibits":[67],"strong":[68],"invariances,":[69],"which":[71],"each":[72],"matrix":[73],"can":[74],"be":[75],"regarded":[76],"as":[77,95],"grayscale":[79],"image.":[80],"Next,":[81],"histograms":[83],"oriented":[85],"gradients":[86],"features":[87],"extracted":[88],"from":[89],"representation":[92],"are":[93,132],"concatenated":[94],"final":[97],"descriptor.":[99],"In":[100],"addition,":[101],"improved":[103],"kernel":[104,112],"is":[106],"raised":[107],"calculating":[109],"pairwise":[111],"distances.":[113],"Finally,":[114],"extensive":[115],"3-D/6-D":[116],"experiments":[120],"on":[121],"three":[122],"public":[123],"datasets":[124],"with":[125],"linear":[127],"support":[128],"vector":[129],"machine":[130],"classifier":[131],"conducted":[133],"to":[134],"verify":[135],"effectiveness":[137],"efficiency":[139],"proposed":[142],"approach.":[143]},"counts_by_year":[{"year":2024,"cited_by_count":1},{"year":2022,"cited_by_count":1},{"year":2019,"cited_by_count":3},{"year":2018,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
