{"id":"https://openalex.org/W1510554230","doi":"https://doi.org/10.1109/issnip.2015.7106959","title":"Re-identification with multiple source-cameras","display_name":"Re-identification with multiple source-cameras","publication_year":2015,"publication_date":"2015-04-01","ids":{"openalex":"https://openalex.org/W1510554230","doi":"https://doi.org/10.1109/issnip.2015.7106959","mag":"1510554230"},"language":"en","primary_location":{"id":"doi:10.1109/issnip.2015.7106959","is_oa":false,"landing_page_url":"https://doi.org/10.1109/issnip.2015.7106959","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2015 IEEE Tenth International Conference on Intelligent Sensors, Sensor Networks and Information Processing (ISSNIP)","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/A5108749093","display_name":"Syed Fahad Tahir","orcid":"https://orcid.org/0000-0001-8444-4300"},"institutions":[{"id":"https://openalex.org/I166337079","display_name":"Queen Mary University of London","ror":"https://ror.org/026zzn846","country_code":"GB","type":"education","lineage":["https://openalex.org/I124357947","https://openalex.org/I166337079"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Syed Fahad Tahir","raw_affiliation_strings":["Centre for Intelligent Sensing, Queen Mary University of London, UK, London","Centre for Intelligent Sensing Queen Mary University of London, UK"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Centre for Intelligent Sensing, Queen Mary University of London, UK, London","institution_ids":["https://openalex.org/I166337079"]},{"raw_affiliation_string":"Centre for Intelligent Sensing Queen Mary University of London, UK","institution_ids":["https://openalex.org/I166337079"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5004087827","display_name":"Andrea Cavallaro","orcid":"https://orcid.org/0000-0001-5086-7858"},"institutions":[{"id":"https://openalex.org/I166337079","display_name":"Queen Mary University of London","ror":"https://ror.org/026zzn846","country_code":"GB","type":"education","lineage":["https://openalex.org/I124357947","https://openalex.org/I166337079"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Andrea Cavallaro","raw_affiliation_strings":["Centre for Intelligent Sensing, Queen Mary University of London, UK, London","Centre for Intelligent Sensing Queen Mary University of London, UK"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Centre for Intelligent Sensing, Queen Mary University of London, UK, London","institution_ids":["https://openalex.org/I166337079"]},{"raw_affiliation_string":"Centre for Intelligent Sensing Queen Mary University of London, UK","institution_ids":["https://openalex.org/I166337079"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5024032794","display_name":"Bernhard Rinner","orcid":"https://orcid.org/0000-0002-8793-3828"},"institutions":[{"id":"https://openalex.org/I4210166741","display_name":"University of Klagenfurt","ror":"https://ror.org/05q9m0937","country_code":"AT","type":"education","lineage":["https://openalex.org/I4210166741"]}],"countries":["AT"],"is_corresponding":false,"raw_author_name":"Bernhard Rinner","raw_affiliation_strings":["Institute of Networked and Embedded Systems, Alpen-Adria-Universit\u00e4t, Klagenfurt, Austria","Institute of Networked and Embedded Systems, Alpen-Adria Universit\u00e4t, Klagenfurt, Austria"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Institute of Networked and Embedded Systems, Alpen-Adria-Universit\u00e4t, Klagenfurt, Austria","institution_ids":["https://openalex.org/I4210166741"]},{"raw_affiliation_string":"Institute of Networked and Embedded Systems, Alpen-Adria Universit\u00e4t, Klagenfurt, Austria","institution_ids":["https://openalex.org/I4210166741"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.1352,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.37343872,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":94},"biblio":{"volume":"19","issue":null,"first_page":"1","last_page":"6"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10331","display_name":"Video Surveillance and Tracking Methods","score":1.0,"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":1.0,"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"}},{"id":"https://openalex.org/T11512","display_name":"Anomaly Detection Techniques and Applications","score":0.9950000047683716,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7424927949905396},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.732994794845581},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.6493156552314758},{"id":"https://openalex.org/keywords/camera-auto-calibration","display_name":"Camera auto-calibration","score":0.6243062615394592},{"id":"https://openalex.org/keywords/identification","display_name":"Identification (biology)","score":0.5864865183830261},{"id":"https://openalex.org/keywords/matching","display_name":"Matching (statistics)","score":0.5724634528160095},{"id":"https://openalex.org/keywords/pairwise-comparison","display_name":"Pairwise comparison","score":0.5609832406044006},{"id":"https://openalex.org/keywords/invariant","display_name":"Invariant (physics)","score":0.5025901794433594},{"id":"https://openalex.org/keywords/camera-resectioning","display_name":"Camera resectioning","score":0.437055379152298},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.39264926314353943},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.1791057288646698},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.09198975563049316}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7424927949905396},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.732994794845581},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.6493156552314758},{"id":"https://openalex.org/C94816000","wikidata":"https://www.wikidata.org/wiki/Q5026006","display_name":"Camera auto-calibration","level":3,"score":0.6243062615394592},{"id":"https://openalex.org/C116834253","wikidata":"https://www.wikidata.org/wiki/Q2039217","display_name":"Identification (biology)","level":2,"score":0.5864865183830261},{"id":"https://openalex.org/C165064840","wikidata":"https://www.wikidata.org/wiki/Q1321061","display_name":"Matching (statistics)","level":2,"score":0.5724634528160095},{"id":"https://openalex.org/C184898388","wikidata":"https://www.wikidata.org/wiki/Q1435712","display_name":"Pairwise comparison","level":2,"score":0.5609832406044006},{"id":"https://openalex.org/C190470478","wikidata":"https://www.wikidata.org/wiki/Q2370229","display_name":"Invariant (physics)","level":2,"score":0.5025901794433594},{"id":"https://openalex.org/C110898773","wikidata":"https://www.wikidata.org/wiki/Q2933935","display_name":"Camera resectioning","level":2,"score":0.437055379152298},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.39264926314353943},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.1791057288646698},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.09198975563049316},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0},{"id":"https://openalex.org/C59822182","wikidata":"https://www.wikidata.org/wiki/Q441","display_name":"Botany","level":1,"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/issnip.2015.7106959","is_oa":false,"landing_page_url":"https://doi.org/10.1109/issnip.2015.7106959","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2015 IEEE Tenth International Conference on Intelligent Sensors, Sensor Networks and Information Processing (ISSNIP)","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":35,"referenced_works":["https://openalex.org/W1518138188","https://openalex.org/W1532970499","https://openalex.org/W1549083695","https://openalex.org/W1814707006","https://openalex.org/W1887734902","https://openalex.org/W1968381457","https://openalex.org/W1974904344","https://openalex.org/W1979260620","https://openalex.org/W2005220741","https://openalex.org/W2013978178","https://openalex.org/W2025247481","https://openalex.org/W2037837622","https://openalex.org/W2044228764","https://openalex.org/W2051243987","https://openalex.org/W2070536799","https://openalex.org/W2089074647","https://openalex.org/W2098807270","https://openalex.org/W2107475454","https://openalex.org/W2113096851","https://openalex.org/W2134804664","https://openalex.org/W2139479830","https://openalex.org/W2148143831","https://openalex.org/W2167292325","https://openalex.org/W2168175751","https://openalex.org/W2169055090","https://openalex.org/W2537458280","https://openalex.org/W2568852200","https://openalex.org/W6631178364","https://openalex.org/W6631755788","https://openalex.org/W6632640995","https://openalex.org/W6639269566","https://openalex.org/W6656580953","https://openalex.org/W6674809736","https://openalex.org/W6676817587","https://openalex.org/W6728575326"],"related_works":["https://openalex.org/W2785097492","https://openalex.org/W2118427684","https://openalex.org/W2378222798","https://openalex.org/W2052984831","https://openalex.org/W2010725720","https://openalex.org/W2061162617","https://openalex.org/W4310066305","https://openalex.org/W2391933270","https://openalex.org/W227461850","https://openalex.org/W1503004767"],"abstract_inverted_index":{"Target":[0],"re-identification":[1,37,49,112],"approaches":[2,118],"generally":[3],"perform":[4],"association":[5],"between":[6,90],"camera":[7,16,54,57],"pairs":[8],"only.":[9],"However,":[10],"in":[11,52,94,99,106],"a":[12,27,35,87,91],"multi-camera":[13],"system":[14],"many-to-one":[15],"associations":[17],"are":[18,46,80],"needed":[19],"when":[20],"targets":[21],"transit":[22],"from":[23],"multiple":[24,53],"source-cameras":[25],"to":[26,82,115],"destination-camera.":[28],"To":[29],"address":[30],"this":[31],"problem,":[32],"we":[33],"propose":[34],"person":[36],"approach":[38,113],"that":[39],"generates":[40],"camera-invariant":[41],"object":[42],"matching":[43,75],"scores,":[44],"which":[45],"based":[47],"on":[48,70,119],"score":[50],"variations":[51],"pairs.":[55],"Each":[56],"pair":[58],"is":[59],"represented":[60],"with":[61],"two":[62,78,120],"parametric":[63],"distribution":[64],"models":[65,79],"obtained":[66],"by":[67],"curve":[68],"fitting":[69],"intra-class":[71],"and":[72,97],"inter-class":[73],"target":[74,93],"scores.":[76],"These":[77],"combined":[81],"generate":[83],"the":[84,95,104,107,110],"likelihood":[85],"of":[86,109],"correct":[88],"match":[89],"new":[92],"destination-camera":[96],"those":[98],"all":[100],"source-cameras.":[101],"We":[102],"show":[103],"improvement":[105],"performance":[108],"proposed":[111],"compared":[114],"existing":[116],"pairwise":[117],"publicly":[121],"available":[122],"datasets.":[123]},"counts_by_year":[{"year":2017,"cited_by_count":1}],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2025-10-10T00:00:00"}