{"id":"https://openalex.org/W2049504268","doi":"https://doi.org/10.1109/roman.2013.6628512","title":"Matching heads of multiple people in multiple camera networks","display_name":"Matching heads of multiple people in multiple camera networks","publication_year":2013,"publication_date":"2013-08-01","ids":{"openalex":"https://openalex.org/W2049504268","doi":"https://doi.org/10.1109/roman.2013.6628512","mag":"2049504268"},"language":"en","primary_location":{"id":"doi:10.1109/roman.2013.6628512","is_oa":false,"landing_page_url":"https://doi.org/10.1109/roman.2013.6628512","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2013 IEEE RO-MAN","raw_type":"proceedings-article"},"type":"conference-paper","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/A5044484868","display_name":"Moonsub Byeon","orcid":null},"institutions":[{"id":"https://openalex.org/I139264467","display_name":"Seoul National University","ror":"https://ror.org/04h9pn542","country_code":"KR","type":"education","lineage":["https://openalex.org/I139264467"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Moonsub Byeon","raw_affiliation_strings":["Department of Electronic Engineering and Computer Science, ASRI, Seoul National University, South Korea","Dept. of Electron. Eng. & Comput. Sci., Seoul Nat. Univ., Seoul, South Korea"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Electronic Engineering and Computer Science, ASRI, Seoul National University, South Korea","institution_ids":["https://openalex.org/I139264467"]},{"raw_affiliation_string":"Dept. of Electron. Eng. & Comput. Sci., Seoul Nat. Univ., Seoul, South Korea","institution_ids":["https://openalex.org/I139264467"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5049703409","display_name":"Soo Wan Kim","orcid":"https://orcid.org/0000-0002-3540-9004"},"institutions":[{"id":"https://openalex.org/I139264467","display_name":"Seoul National University","ror":"https://ror.org/04h9pn542","country_code":"KR","type":"education","lineage":["https://openalex.org/I139264467"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Soo Wan Kim","raw_affiliation_strings":["Department of Electronic Engineering and Computer Science, ASRI, Seoul National University, South Korea","Dept. of Electron. Eng. & Comput. Sci., Seoul Nat. Univ., Seoul, South Korea"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Electronic Engineering and Computer Science, ASRI, Seoul National University, South Korea","institution_ids":["https://openalex.org/I139264467"]},{"raw_affiliation_string":"Dept. of Electron. Eng. & Comput. Sci., Seoul Nat. Univ., Seoul, South Korea","institution_ids":["https://openalex.org/I139264467"]}]},{"author_position":"middle","author":{"id":null,"display_name":"Haan-Ju Yoo","orcid":null},"institutions":[{"id":"https://openalex.org/I139264467","display_name":"Seoul National University","ror":"https://ror.org/04h9pn542","country_code":"KR","type":"education","lineage":["https://openalex.org/I139264467"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Haan-Ju Yoo","raw_affiliation_strings":["Department of Electronic Engineering and Computer Science, ASRI, Seoul National University, South Korea","Dept. of Electron. Eng. & Comput. Sci., Seoul Nat. Univ., Seoul, South Korea"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Electronic Engineering and Computer Science, ASRI, Seoul National University, South Korea","institution_ids":["https://openalex.org/I139264467"]},{"raw_affiliation_string":"Dept. of Electron. Eng. & Comput. Sci., Seoul Nat. Univ., Seoul, South Korea","institution_ids":["https://openalex.org/I139264467"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5088891890","display_name":"Jin Young Choi","orcid":"https://orcid.org/0000-0003-3891-5815"},"institutions":[{"id":"https://openalex.org/I139264467","display_name":"Seoul National University","ror":"https://ror.org/04h9pn542","country_code":"KR","type":"education","lineage":["https://openalex.org/I139264467"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Jin Young Choi","raw_affiliation_strings":["Department of Electronic Engineering and Computer Science, ASRI, Seoul National University, South Korea","Dept. of Electron. Eng. & Comput. Sci., Seoul Nat. Univ., Seoul, South Korea"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Electronic Engineering and Computer Science, ASRI, Seoul National University, South Korea","institution_ids":["https://openalex.org/I139264467"]},{"raw_affiliation_string":"Dept. of Electron. Eng. & Comput. Sci., Seoul Nat. Univ., Seoul, South Korea","institution_ids":["https://openalex.org/I139264467"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I139264467"],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":"3954","issue":null,"first_page":"400","last_page":"405"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10331","display_name":"Video Surveillance and Tracking Methods","score":0.9998999834060669,"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":0.9998999834060669,"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/T12740","display_name":"Gait Recognition and Analysis","score":0.9984999895095825,"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/T11448","display_name":"Face recognition and analysis","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"}}],"keywords":[{"id":"https://openalex.org/keywords/homography","display_name":"Homography","score":0.8723751306533813},{"id":"https://openalex.org/keywords/epipolar-geometry","display_name":"Epipolar geometry","score":0.8429208993911743},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.7814143896102905},{"id":"https://openalex.org/keywords/similarity","display_name":"Similarity (geometry)","score":0.7602875828742981},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.7354251146316528},{"id":"https://openalex.org/keywords/matching","display_name":"Matching (statistics)","score":0.7102171182632446},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6543750762939453},{"id":"https://openalex.org/keywords/fundamental-matrix","display_name":"Fundamental matrix (linear differential equation)","score":0.6258180141448975},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.4135655164718628},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.31253695487976074},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.25727057456970215}],"concepts":[{"id":"https://openalex.org/C28751775","wikidata":"https://www.wikidata.org/wiki/Q2112539","display_name":"Homography","level":4,"score":0.8723751306533813},{"id":"https://openalex.org/C23379248","wikidata":"https://www.wikidata.org/wiki/Q200904","display_name":"Epipolar geometry","level":3,"score":0.8429208993911743},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7814143896102905},{"id":"https://openalex.org/C103278499","wikidata":"https://www.wikidata.org/wiki/Q254465","display_name":"Similarity (geometry)","level":3,"score":0.7602875828742981},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.7354251146316528},{"id":"https://openalex.org/C165064840","wikidata":"https://www.wikidata.org/wiki/Q1321061","display_name":"Matching (statistics)","level":2,"score":0.7102171182632446},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6543750762939453},{"id":"https://openalex.org/C2780427248","wikidata":"https://www.wikidata.org/wiki/Q17014996","display_name":"Fundamental matrix (linear differential equation)","level":2,"score":0.6258180141448975},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.4135655164718628},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.31253695487976074},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.25727057456970215},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.0},{"id":"https://openalex.org/C177846678","wikidata":"https://www.wikidata.org/wiki/Q1501864","display_name":"Projective test","level":2,"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/C75280867","wikidata":"https://www.wikidata.org/wiki/Q877775","display_name":"Projective space","level":3,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/roman.2013.6628512","is_oa":false,"landing_page_url":"https://doi.org/10.1109/roman.2013.6628512","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2013 IEEE RO-MAN","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":14,"referenced_works":["https://openalex.org/W1539154803","https://openalex.org/W2035153336","https://openalex.org/W2037285517","https://openalex.org/W2061773916","https://openalex.org/W2073220190","https://openalex.org/W2074553446","https://openalex.org/W2148958980","https://openalex.org/W2158634074","https://openalex.org/W2170296202","https://openalex.org/W2271683078","https://openalex.org/W3021282624","https://openalex.org/W6632268950","https://openalex.org/W6659566489","https://openalex.org/W6694351997"],"related_works":["https://openalex.org/W2170198060","https://openalex.org/W2365196554","https://openalex.org/W2356063813","https://openalex.org/W2061723032","https://openalex.org/W2096798195","https://openalex.org/W2047311859","https://openalex.org/W1986525613","https://openalex.org/W1499216665","https://openalex.org/W2170176665","https://openalex.org/W2532862220"],"abstract_inverted_index":{"In":[0],"this":[1],"paper,":[2],"we":[3],"aim":[4],"to":[5,27,40,103],"find":[6],"the":[7,24,28,35,42,56],"matches":[8],"of":[9,16,119],"head":[10,73,107],"detections":[11],"from":[12,34],"different":[13,20],"cameras.":[14],"Matching":[15],"heads":[17],"detected":[18],"in":[19,45,63],"cameras":[21],"and":[22,81,90,114],"assigning":[23],"same":[25,36],"label":[26],"detection":[29],"results":[30,95],"which":[31],"are":[32],"actually":[33],"person":[37,43,58],"can":[38,51],"help":[39],"track":[41],"robustly":[44],"severe":[46],"occlusion":[47],"because":[48],"matching":[49,74,106],"process":[50],"give":[52],"more":[53],"clues":[54],"when":[55],"tracked":[57],"is":[59,86],"even":[60],"totally":[61],"occluded":[62],"one":[64],"camera.":[65],"We":[66,109],"present":[67],"two":[68,112],"similarity":[69,80,85,99],"measurement":[70],"methods":[71],"for":[72,105],"based":[75,87],"on":[76,88],"geometry":[77],"information:":[78],"homography":[79,89],"epipolar":[82],"similarity.":[83],"Each":[84],"fundamental":[91],"matrix":[92],"respectively.":[93],"Experimental":[94],"show":[96],"that":[97],"our":[98],"measures":[100],"have":[101],"validity":[102],"use":[104],"detections.":[108],"also":[110],"compare":[111],"similarities":[113],"analyze":[115],"what":[116],"strong":[117],"point":[118],"each":[120],"method":[121],"is.":[122]},"counts_by_year":[{"year":2017,"cited_by_count":1}],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}