{"id":"https://openalex.org/W4308822498","doi":"https://doi.org/10.1109/sdf55338.2022.9931699","title":"Multi-Target Multi-Camera Aerial Re-identification by Convex Hull Topology","display_name":"Multi-Target Multi-Camera Aerial Re-identification by Convex Hull Topology","publication_year":2022,"publication_date":"2022-10-12","ids":{"openalex":"https://openalex.org/W4308822498","doi":"https://doi.org/10.1109/sdf55338.2022.9931699"},"language":"en","primary_location":{"id":"doi:10.1109/sdf55338.2022.9931699","is_oa":false,"landing_page_url":"https://doi.org/10.1109/sdf55338.2022.9931699","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2022 Sensor Data Fusion: Trends, Solutions, Applications (SDF)","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/A5006244730","display_name":"Chong Ghee Lua","orcid":null},"institutions":[{"id":"https://openalex.org/I165932596","display_name":"National University of Singapore","ror":"https://ror.org/01tgyzw49","country_code":"SG","type":"education","lineage":["https://openalex.org/I165932596"]}],"countries":["SG"],"is_corresponding":false,"raw_author_name":"Chong Ghee Lua","raw_affiliation_strings":["National University of Singapore,Department of Mechanical Engineering","Department of Mechanical Engineering, National University of Singapore"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"National University of Singapore,Department of Mechanical Engineering","institution_ids":["https://openalex.org/I165932596"]},{"raw_affiliation_string":"Department of Mechanical Engineering, National University of Singapore","institution_ids":["https://openalex.org/I165932596"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5005138528","display_name":"Yan Han Lau","orcid":"https://orcid.org/0000-0002-2402-1282"},"institutions":[{"id":"https://openalex.org/I165932596","display_name":"National University of Singapore","ror":"https://ror.org/01tgyzw49","country_code":"SG","type":"education","lineage":["https://openalex.org/I165932596"]}],"countries":["SG"],"is_corresponding":false,"raw_author_name":"Yan Han Lau","raw_affiliation_strings":["National University of Singapore,Electrical and Computer Engineering","Electrical and Computer Engineering, National University of Singapore"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"National University of Singapore,Electrical and Computer Engineering","institution_ids":["https://openalex.org/I165932596"]},{"raw_affiliation_string":"Electrical and Computer Engineering, National University of Singapore","institution_ids":["https://openalex.org/I165932596"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5043423490","display_name":"Dominik Heimsch","orcid":"https://orcid.org/0009-0005-8945-7799"},"institutions":[{"id":"https://openalex.org/I4210110041","display_name":"Systems Dynamics (United States)","ror":"https://ror.org/01z7k2z53","country_code":"US","type":"company","lineage":["https://openalex.org/I4210110041"]},{"id":"https://openalex.org/I4210116919","display_name":"Institute of Flight","ror":"https://ror.org/02cx1m445","country_code":"US","type":"nonprofit","lineage":["https://openalex.org/I4210116919"]},{"id":"https://openalex.org/I62916508","display_name":"Technical University of Munich","ror":"https://ror.org/02kkvpp62","country_code":"DE","type":"education","lineage":["https://openalex.org/I62916508"]}],"countries":["DE","US"],"is_corresponding":false,"raw_author_name":"Dominik Heimsch","raw_affiliation_strings":["Institute of Flight Systems Dynamics, Technical University of Munich,Germany","Institute of Flight Systems Dynamics, Technical University of Munich, Germany"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Institute of Flight Systems Dynamics, Technical University of Munich,Germany","institution_ids":["https://openalex.org/I4210116919","https://openalex.org/I4210110041"]},{"raw_affiliation_string":"Institute of Flight Systems Dynamics, Technical University of Munich, Germany","institution_ids":["https://openalex.org/I62916508"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5073126434","display_name":"Sutthiphong Srigrarom","orcid":"https://orcid.org/0000-0002-0239-183X"},"institutions":[{"id":"https://openalex.org/I165932596","display_name":"National University of Singapore","ror":"https://ror.org/01tgyzw49","country_code":"SG","type":"education","lineage":["https://openalex.org/I165932596"]}],"countries":["SG"],"is_corresponding":false,"raw_author_name":"Sutthiphong Srigrarom","raw_affiliation_strings":["National University of Singapore,Department of Mechanical Engineering","Department of Mechanical Engineering, National University of Singapore"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"National University of Singapore,Department of Mechanical Engineering","institution_ids":["https://openalex.org/I165932596"]},{"raw_affiliation_string":"Department of Mechanical Engineering, National University of Singapore","institution_ids":["https://openalex.org/I165932596"]}]}],"institutions":[],"countries_distinct_count":3,"institutions_distinct_count":4,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.5077,"has_fulltext":false,"cited_by_count":6,"citation_normalized_percentile":{"value":0.64576157,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":98},"biblio":{"volume":null,"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":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/T10191","display_name":"Robotics and Sensor-Based Localization","score":0.9988999962806702,"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"}},{"id":"https://openalex.org/T10627","display_name":"Advanced Image and Video Retrieval Techniques","score":0.9987999796867371,"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":0.7773675918579102},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.7182955741882324},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.636426568031311},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6297218799591064},{"id":"https://openalex.org/keywords/collinearity","display_name":"Collinearity","score":0.5037986636161804},{"id":"https://openalex.org/keywords/invariant","display_name":"Invariant (physics)","score":0.4738388657569885},{"id":"https://openalex.org/keywords/cross-ratio","display_name":"Cross-ratio","score":0.45990607142448425},{"id":"https://openalex.org/keywords/topology","display_name":"Topology (electrical circuits)","score":0.44423040747642517},{"id":"https://openalex.org/keywords/object","display_name":"Object (grammar)","score":0.4375641345977783},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.29162663221359253},{"id":"https://openalex.org/keywords/geometry","display_name":"Geometry","score":0.1418091356754303}],"concepts":[{"id":"https://openalex.org/C28751775","wikidata":"https://www.wikidata.org/wiki/Q2112539","display_name":"Homography","level":4,"score":0.7773675918579102},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.7182955741882324},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.636426568031311},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6297218799591064},{"id":"https://openalex.org/C106192678","wikidata":"https://www.wikidata.org/wiki/Q1419761","display_name":"Collinearity","level":2,"score":0.5037986636161804},{"id":"https://openalex.org/C190470478","wikidata":"https://www.wikidata.org/wiki/Q2370229","display_name":"Invariant (physics)","level":2,"score":0.4738388657569885},{"id":"https://openalex.org/C101586328","wikidata":"https://www.wikidata.org/wiki/Q899539","display_name":"Cross-ratio","level":2,"score":0.45990607142448425},{"id":"https://openalex.org/C184720557","wikidata":"https://www.wikidata.org/wiki/Q7825049","display_name":"Topology (electrical circuits)","level":2,"score":0.44423040747642517},{"id":"https://openalex.org/C2781238097","wikidata":"https://www.wikidata.org/wiki/Q175026","display_name":"Object (grammar)","level":2,"score":0.4375641345977783},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.29162663221359253},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.1418091356754303},{"id":"https://openalex.org/C75280867","wikidata":"https://www.wikidata.org/wiki/Q877775","display_name":"Projective space","level":3,"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/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","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/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/sdf55338.2022.9931699","is_oa":false,"landing_page_url":"https://doi.org/10.1109/sdf55338.2022.9931699","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2022 Sensor Data Fusion: Trends, Solutions, Applications (SDF)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/11","score":0.5899999737739563,"display_name":"Sustainable cities and communities"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":18,"referenced_works":["https://openalex.org/W1991744645","https://openalex.org/W2033819227","https://openalex.org/W2113845377","https://openalex.org/W2153504150","https://openalex.org/W2157598322","https://openalex.org/W2167536584","https://openalex.org/W2511791013","https://openalex.org/W2735383472","https://openalex.org/W2902175566","https://openalex.org/W2962923976","https://openalex.org/W3016047071","https://openalex.org/W3128925541","https://openalex.org/W3205527893","https://openalex.org/W4214533250","https://openalex.org/W4214552489","https://openalex.org/W4229334925","https://openalex.org/W4308822492","https://openalex.org/W6845984791"],"related_works":["https://openalex.org/W1992896963","https://openalex.org/W11665857","https://openalex.org/W2107971017","https://openalex.org/W2103357324","https://openalex.org/W2162929075","https://openalex.org/W2064581565","https://openalex.org/W2182991573","https://openalex.org/W2100933403","https://openalex.org/W2293293371","https://openalex.org/W1556704309"],"abstract_inverted_index":{"This":[0,52],"paper":[1],"discusses":[2],"the":[3,15,41,56,81,104,108,114,138,143,155],"re-identification":[4,92,131],"(Re-ID)":[5],"of":[6,8,18,45,59,65,140,146,160],"objects":[7,30,47,72,161],"interest":[9],"(OOI)":[10],"across":[11,35,93,96],"multiple":[12,32],"cameras.":[13,164],"In":[14],"first":[16],"part":[17],"this":[19],"paper,":[20],"we":[21],"propose":[22],"a":[23,36],"novel":[24,115],"technique":[25,102],"to":[26,79],"associate":[27],"and":[28,67,95,117],"re-identify":[29],"between":[31,88],"aerial":[33],"cameras":[34,94,151],"corresponding":[37],"frame":[38],"by":[39],"considering":[40],"topological":[42],"(layout)":[43],"sequence":[44,53],"ground":[46],"calculated":[48],"using":[49,98],"computational":[50],"geometry.":[51],"relied":[54],"on":[55],"invariant":[57],"properties":[58],"projective":[60],"transformation,":[61],"i.e.":[62],"collinearity,":[63],"point":[64],"intersection,":[66],"cross":[68],"ratio.":[69],"The":[70],"associated":[71],"are":[73],"then":[74],"used":[75],"for":[76,85,91,149,157,162],"homography":[77,82,120],"estimation":[78],"generate":[80],"matrix":[83],"needed":[84],"subsequent":[86],"comparison":[87],"object":[89,130,147],"trajectories":[90],"time":[97],"an":[99],"earlier":[100],"developed":[101],"with":[103,132,137],"results":[105],"shown":[106],"in":[107],"second":[109],"part.":[110],"By":[111],"applying":[112],"both":[113,141],"topology-based":[116],"our":[118,124],"previous":[119],"trajectory":[121],"matching":[122],"approaches,":[123],"initial":[125],"field":[126],"test":[127],"shows":[128],"successful":[129],"Precision":[133],"around":[134],"90-95%.":[135],"Additionally,":[136],"combination":[139],"techniques,":[142],"full":[144],"pipeline":[145],"Re-ID":[148,159],"different":[150],"is":[152],"completed,":[153],"allowing":[154],"potential":[156],"automated":[158],"moving":[163]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":3}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}
