{"id":"https://openalex.org/W2085484873","doi":"https://doi.org/10.1109/icip.2013.6738458","title":"Robust human appearance matching across multi-cameras","display_name":"Robust human appearance matching across multi-cameras","publication_year":2013,"publication_date":"2013-09-01","ids":{"openalex":"https://openalex.org/W2085484873","doi":"https://doi.org/10.1109/icip.2013.6738458","mag":"2085484873"},"language":"en","primary_location":{"id":"doi:10.1109/icip.2013.6738458","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icip.2013.6738458","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2013 IEEE International Conference on Image Processing","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/A5077496821","display_name":"Beihua Zhang","orcid":"https://orcid.org/0000-0001-8874-8328"},"institutions":[{"id":"https://openalex.org/I31746571","display_name":"UNSW Sydney","ror":"https://ror.org/03r8z3t63","country_code":"AU","type":"education","lineage":["https://openalex.org/I31746571"]}],"countries":["AU"],"is_corresponding":true,"raw_author_name":"Beihua Zhang","raw_affiliation_strings":["School of Computer Science and Engineering The University of New South Wales, Sydney 2052, Australia","[School of Computer Science and Engineering University of New South Wales, Sydney, NSW, Australia]"],"affiliations":[{"raw_affiliation_string":"School of Computer Science and Engineering The University of New South Wales, Sydney 2052, Australia","institution_ids":["https://openalex.org/I31746571"]},{"raw_affiliation_string":"[School of Computer Science and Engineering University of New South Wales, Sydney, NSW, Australia]","institution_ids":["https://openalex.org/I31746571"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5062598553","display_name":"Xiongcai Cai","orcid":null},"institutions":[{"id":"https://openalex.org/I31746571","display_name":"UNSW Sydney","ror":"https://ror.org/03r8z3t63","country_code":"AU","type":"education","lineage":["https://openalex.org/I31746571"]}],"countries":["AU"],"is_corresponding":false,"raw_author_name":"Xiongcai Cai","raw_affiliation_strings":["School of Computer Science and Engineering The University of New South Wales, Sydney 2052, Australia","[School of Computer Science and Engineering University of New South Wales, Sydney, NSW, Australia]"],"affiliations":[{"raw_affiliation_string":"School of Computer Science and Engineering The University of New South Wales, Sydney 2052, Australia","institution_ids":["https://openalex.org/I31746571"]},{"raw_affiliation_string":"[School of Computer Science and Engineering University of New South Wales, Sydney, NSW, Australia]","institution_ids":["https://openalex.org/I31746571"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5055952724","display_name":"Arcot Sowmya","orcid":"https://orcid.org/0000-0001-9236-5063"},"institutions":[{"id":"https://openalex.org/I31746571","display_name":"UNSW Sydney","ror":"https://ror.org/03r8z3t63","country_code":"AU","type":"education","lineage":["https://openalex.org/I31746571"]}],"countries":["AU"],"is_corresponding":false,"raw_author_name":"Arcot Sowmya","raw_affiliation_strings":["School of Computer Science and Engineering The University of New South Wales, Sydney 2052, Australia","[School of Computer Science and Engineering University of New South Wales, Sydney, NSW, Australia]"],"affiliations":[{"raw_affiliation_string":"School of Computer Science and Engineering The University of New South Wales, Sydney 2052, Australia","institution_ids":["https://openalex.org/I31746571"]},{"raw_affiliation_string":"[School of Computer Science and Engineering University of New South Wales, Sydney, NSW, Australia]","institution_ids":["https://openalex.org/I31746571"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5077496821"],"corresponding_institution_ids":["https://openalex.org/I31746571"],"apc_list":null,"apc_paid":null,"fwci":0.2722,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.61794921,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":94},"biblio":{"volume":null,"issue":null,"first_page":"2222","last_page":"2226"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10331","display_name":"Video Surveillance and Tracking Methods","score":0.9984999895095825,"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":0.9984999895095825,"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/T10627","display_name":"Advanced Image and Video Retrieval Techniques","score":0.9983000159263611,"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/T10812","display_name":"Human Pose and Action Recognition","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"}}],"keywords":[{"id":"https://openalex.org/keywords/cluster-analysis","display_name":"Cluster analysis","score":0.6621185541152954},{"id":"https://openalex.org/keywords/matching","display_name":"Matching (statistics)","score":0.6554846167564392},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6522777676582336},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.6276871562004089},{"id":"https://openalex.org/keywords/outlier","display_name":"Outlier","score":0.6162465810775757},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.562560498714447},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.5137723684310913},{"id":"https://openalex.org/keywords/constraint","display_name":"Constraint (computer-aided design)","score":0.5010731220245361},{"id":"https://openalex.org/keywords/point-set-registration","display_name":"Point set registration","score":0.44842156767845154},{"id":"https://openalex.org/keywords/invariant","display_name":"Invariant (physics)","score":0.4416447877883911},{"id":"https://openalex.org/keywords/hierarchical-clustering","display_name":"Hierarchical clustering","score":0.4342820644378662},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.4212232828140259},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.4112759828567505},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.39518797397613525},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.3794401288032532},{"id":"https://openalex.org/keywords/point","display_name":"Point (geometry)","score":0.35569751262664795}],"concepts":[{"id":"https://openalex.org/C73555534","wikidata":"https://www.wikidata.org/wiki/Q622825","display_name":"Cluster analysis","level":2,"score":0.6621185541152954},{"id":"https://openalex.org/C165064840","wikidata":"https://www.wikidata.org/wiki/Q1321061","display_name":"Matching (statistics)","level":2,"score":0.6554846167564392},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6522777676582336},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.6276871562004089},{"id":"https://openalex.org/C79337645","wikidata":"https://www.wikidata.org/wiki/Q779824","display_name":"Outlier","level":2,"score":0.6162465810775757},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.562560498714447},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.5137723684310913},{"id":"https://openalex.org/C2776036281","wikidata":"https://www.wikidata.org/wiki/Q48769818","display_name":"Constraint (computer-aided design)","level":2,"score":0.5010731220245361},{"id":"https://openalex.org/C200336642","wikidata":"https://www.wikidata.org/wiki/Q15058706","display_name":"Point set registration","level":3,"score":0.44842156767845154},{"id":"https://openalex.org/C190470478","wikidata":"https://www.wikidata.org/wiki/Q2370229","display_name":"Invariant (physics)","level":2,"score":0.4416447877883911},{"id":"https://openalex.org/C92835128","wikidata":"https://www.wikidata.org/wiki/Q1277447","display_name":"Hierarchical clustering","level":3,"score":0.4342820644378662},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.4212232828140259},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.4112759828567505},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.39518797397613525},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.3794401288032532},{"id":"https://openalex.org/C28719098","wikidata":"https://www.wikidata.org/wiki/Q44946","display_name":"Point (geometry)","level":2,"score":0.35569751262664795},{"id":"https://openalex.org/C37914503","wikidata":"https://www.wikidata.org/wiki/Q156495","display_name":"Mathematical physics","level":1,"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/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"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/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icip.2013.6738458","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icip.2013.6738458","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2013 IEEE International Conference on Image Processing","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":20,"referenced_works":["https://openalex.org/W1539154803","https://openalex.org/W1598872560","https://openalex.org/W2025883551","https://openalex.org/W2028855965","https://openalex.org/W2058507708","https://openalex.org/W2083323780","https://openalex.org/W2096342372","https://openalex.org/W2101639445","https://openalex.org/W2106309274","https://openalex.org/W2111198174","https://openalex.org/W2118540220","https://openalex.org/W2120735681","https://openalex.org/W2124386111","https://openalex.org/W2151634982","https://openalex.org/W2154560423","https://openalex.org/W2166820607","https://openalex.org/W6632268950","https://openalex.org/W6675328369","https://openalex.org/W6677820011","https://openalex.org/W6682564807"],"related_works":["https://openalex.org/W3006513224","https://openalex.org/W2046456988","https://openalex.org/W2357409937","https://openalex.org/W2510582230","https://openalex.org/W2978674666","https://openalex.org/W2074430941","https://openalex.org/W2113096305","https://openalex.org/W1977636359","https://openalex.org/W2772305933","https://openalex.org/W2580722822"],"abstract_inverted_index":{"In":[0],"this":[1],"paper,":[2],"we":[3,71,98],"present":[4],"a":[5,22,108],"novel":[6],"solution":[7],"to":[8,76,121,133],"the":[9,78,81,86,100,123,139],"problem":[10,32],"of":[11,24,33,55,68,103,126],"human":[12],"appearance":[13,34],"matching":[14,35,144],"across":[15,36],"multiple":[16,37,147],"cameras.":[17,148],"Humans":[18],"are":[19],"represented":[20],"by":[21],"set":[23],"feature":[25,64,82,104],"points":[26,44,105],"sampled":[27],"from":[28,49],"upper":[29,47],"bodies.":[30],"The":[31],"cameras":[38],"is":[39,119,131],"formulated":[40],"as":[41,58,60],"finding":[42],"corresponding":[43],"in":[45],"two":[46],"bodies":[48],"different":[50,89],"views":[51],"based":[52,106],"on":[53,107,146],"dissimilarity":[54,67,87],"region":[56,69,79],"signatures":[57],"well":[59],"geometric":[61,96],"constraints":[62],"between":[63,88],"points.":[65],"For":[66,95],"signatures,":[70],"first":[72],"use":[73],"k-means":[74],"clustering":[75,117],"describe":[77],"around":[80],"point,":[83],"then":[84],"estimate":[85],"regions":[90],"under":[91],"integer":[92],"optimization":[93],"framework.":[94],"constraints,":[97],"get":[99],"spatial":[101],"information":[102],"scale":[109],"and":[110,136,138],"rotation":[111],"invariant":[112],"constraint":[113],"method.":[114],"Lastly,":[115],"agglomerative":[116],"algorithm":[118],"used":[120],"find":[122],"correct":[124],"cluster":[125],"candidate":[127],"pairs.":[128],"Our":[129],"method":[130],"robust":[132],"both":[134],"outliers":[135],"deformation,":[137],"experimental":[140],"results":[141,145],"show":[142],"promising":[143]},"counts_by_year":[{"year":2016,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
