{"id":"https://openalex.org/W2051243987","doi":"https://doi.org/10.1109/icassp.2014.6854931","title":"Low-cost multi-camera object matching","display_name":"Low-cost multi-camera object matching","publication_year":2014,"publication_date":"2014-05-01","ids":{"openalex":"https://openalex.org/W2051243987","doi":"https://doi.org/10.1109/icassp.2014.6854931","mag":"2051243987"},"language":"en","primary_location":{"id":"doi:10.1109/icassp.2014.6854931","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icassp.2014.6854931","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2014 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)","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","Centre for Intell. Sensing, Queen Mary Univ. of London, London, UK"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Centre for Intelligent Sensing, Queen Mary University of London","institution_ids":["https://openalex.org/I166337079"]},{"raw_affiliation_string":"Centre for Intell. Sensing, Queen Mary Univ. of London, London, UK","institution_ids":["https://openalex.org/I166337079"]}]},{"author_position":"last","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","Centre for Intell. Sensing, Queen Mary Univ. of London, London, UK"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Centre for Intelligent Sensing, Queen Mary University of London","institution_ids":["https://openalex.org/I166337079"]},{"raw_affiliation_string":"Centre for Intell. Sensing, Queen Mary Univ. of London, London, UK","institution_ids":["https://openalex.org/I166337079"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I166337079"],"apc_list":null,"apc_paid":null,"fwci":0.3596,"has_fulltext":false,"cited_by_count":6,"citation_normalized_percentile":{"value":0.59626443,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":95},"biblio":{"volume":"19","issue":null,"first_page":"6869","last_page":"6873"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10627","display_name":"Advanced Image and Video Retrieval Techniques","score":0.9998000264167786,"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/T10627","display_name":"Advanced Image and Video Retrieval Techniques","score":0.9998000264167786,"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/T10331","display_name":"Video Surveillance and Tracking Methods","score":0.9995999932289124,"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/T10191","display_name":"Robotics and Sensor-Based Localization","score":0.9986000061035156,"subfield":{"id":"https://openalex.org/subfields/2202","display_name":"Aerospace 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/computer-science","display_name":"Computer science","score":0.8061544895172119},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.7508852481842041},{"id":"https://openalex.org/keywords/object","display_name":"Object (grammar)","score":0.7420809268951416},{"id":"https://openalex.org/keywords/matching","display_name":"Matching (statistics)","score":0.7241846323013306},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.7227296233177185},{"id":"https://openalex.org/keywords/exploit","display_name":"Exploit","score":0.6612094640731812},{"id":"https://openalex.org/keywords/representation","display_name":"Representation (politics)","score":0.5841314792633057},{"id":"https://openalex.org/keywords/object-detection","display_name":"Object detection","score":0.5009019374847412},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.3383219838142395},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.10133910179138184}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8061544895172119},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7508852481842041},{"id":"https://openalex.org/C2781238097","wikidata":"https://www.wikidata.org/wiki/Q175026","display_name":"Object (grammar)","level":2,"score":0.7420809268951416},{"id":"https://openalex.org/C165064840","wikidata":"https://www.wikidata.org/wiki/Q1321061","display_name":"Matching (statistics)","level":2,"score":0.7241846323013306},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.7227296233177185},{"id":"https://openalex.org/C165696696","wikidata":"https://www.wikidata.org/wiki/Q11287","display_name":"Exploit","level":2,"score":0.6612094640731812},{"id":"https://openalex.org/C2776359362","wikidata":"https://www.wikidata.org/wiki/Q2145286","display_name":"Representation (politics)","level":3,"score":0.5841314792633057},{"id":"https://openalex.org/C2776151529","wikidata":"https://www.wikidata.org/wiki/Q3045304","display_name":"Object detection","level":3,"score":0.5009019374847412},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3383219838142395},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.10133910179138184},{"id":"https://openalex.org/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","level":1,"score":0.0},{"id":"https://openalex.org/C17744445","wikidata":"https://www.wikidata.org/wiki/Q36442","display_name":"Political science","level":0,"score":0.0},{"id":"https://openalex.org/C199539241","wikidata":"https://www.wikidata.org/wiki/Q7748","display_name":"Law","level":1,"score":0.0},{"id":"https://openalex.org/C94625758","wikidata":"https://www.wikidata.org/wiki/Q7163","display_name":"Politics","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}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icassp.2014.6854931","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icassp.2014.6854931","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2014 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)","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":31,"referenced_works":["https://openalex.org/W1518138188","https://openalex.org/W1887734902","https://openalex.org/W1968381457","https://openalex.org/W1991452654","https://openalex.org/W2013978178","https://openalex.org/W2014850105","https://openalex.org/W2023629896","https://openalex.org/W2025247481","https://openalex.org/W2037837622","https://openalex.org/W2059412355","https://openalex.org/W2078917276","https://openalex.org/W2088310025","https://openalex.org/W2098807270","https://openalex.org/W2136940668","https://openalex.org/W2147212561","https://openalex.org/W2148114917","https://openalex.org/W2150133810","https://openalex.org/W2150593711","https://openalex.org/W2150692043","https://openalex.org/W2155729921","https://openalex.org/W2167747244","https://openalex.org/W2171635144","https://openalex.org/W2222512263","https://openalex.org/W2537458280","https://openalex.org/W3021282624","https://openalex.org/W4244789953","https://openalex.org/W4247086295","https://openalex.org/W6631178364","https://openalex.org/W6639269566","https://openalex.org/W6681592174","https://openalex.org/W6728575326"],"related_works":["https://openalex.org/W17155033","https://openalex.org/W3207760230","https://openalex.org/W1496222301","https://openalex.org/W4312814274","https://openalex.org/W1590307681","https://openalex.org/W2536018345","https://openalex.org/W4285370786","https://openalex.org/W1834370135","https://openalex.org/W4292830139","https://openalex.org/W4319309705"],"abstract_inverted_index":{"We":[0,23,70],"propose":[1],"an":[2],"object":[3,21],"matching":[4,65],"approach":[5,55],"aimed":[6],"at":[7],"smartphone":[8],"cameras":[9,30],"that":[10,82],"exploits":[11],"the":[12,26,33,43,48,78,83,90],"well-known":[13],"concept":[14],"of":[15,18,29,35,92],"local":[16],"sets":[17],"features":[19],"for":[20,47,64,77],"representation.":[22],"also":[24],"enable":[25],"temporal":[27,68],"alignment":[28],"by":[31],"exploiting":[32],"frames":[34],"detected":[36],"objects":[37,40],"to":[38,88,94],"group":[39],"appeared":[41],"in":[42],"same":[44],"time":[45],"interval":[46],"assignment":[49],"within":[50],"each":[51],"camera.":[52],"The":[53],"proposed":[54,84],"does":[56],"not":[57],"need":[58],"training":[59],"thus":[60],"making":[61],"it":[62],"suitable":[63],"during":[66],"short":[67],"intervals.":[69],"use":[71],"both":[72],"outdoor":[73],"and":[74,80,97],"indoor":[75],"datasets":[76],"evaluation,":[79],"show":[81],"method":[85],"reduces":[86],"up":[87],"95%":[89],"amount":[91],"information":[93],"be":[95],"stored":[96],"communicated.":[98]},"counts_by_year":[{"year":2022,"cited_by_count":1},{"year":2021,"cited_by_count":2},{"year":2019,"cited_by_count":1},{"year":2016,"cited_by_count":1},{"year":2015,"cited_by_count":1}],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2025-10-10T00:00:00"}
