{"id":"https://openalex.org/W3011362041","doi":"https://doi.org/10.1109/cdc40024.2019.9029862","title":"Structure and Velocity Estimation of a Moving Object via Synthetic Persistence by a Network of Stationary Cameras","display_name":"Structure and Velocity Estimation of a Moving Object via Synthetic Persistence by a Network of Stationary Cameras","publication_year":2019,"publication_date":"2019-12-01","ids":{"openalex":"https://openalex.org/W3011362041","doi":"https://doi.org/10.1109/cdc40024.2019.9029862","mag":"3011362041"},"language":"en","primary_location":{"id":"doi:10.1109/cdc40024.2019.9029862","is_oa":false,"landing_page_url":"https://doi.org/10.1109/cdc40024.2019.9029862","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2019 IEEE 58th Conference on Decision and Control (CDC)","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/A5017779570","display_name":"Zachary I. Bell","orcid":"https://orcid.org/0000-0002-9574-8104"},"institutions":[{"id":"https://openalex.org/I33213144","display_name":"University of Florida","ror":"https://ror.org/02y3ad647","country_code":"US","type":"education","lineage":["https://openalex.org/I33213144"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Zachary I. Bell","raw_affiliation_strings":["Department of Mechanical and Aerospace Engineering, University of Florida, Gainesville, FL, USA"],"affiliations":[{"raw_affiliation_string":"Department of Mechanical and Aerospace Engineering, University of Florida, Gainesville, FL, USA","institution_ids":["https://openalex.org/I33213144"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5067672340","display_name":"Christian G. Harris","orcid":null},"institutions":[{"id":"https://openalex.org/I33213144","display_name":"University of Florida","ror":"https://ror.org/02y3ad647","country_code":"US","type":"education","lineage":["https://openalex.org/I33213144"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Christian Harris","raw_affiliation_strings":["Department of Mechanical and Aerospace Engineering, University of Florida, Gainesville, FL, USA"],"affiliations":[{"raw_affiliation_string":"Department of Mechanical and Aerospace Engineering, University of Florida, Gainesville, FL, USA","institution_ids":["https://openalex.org/I33213144"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5037909773","display_name":"Runhan Sun","orcid":"https://orcid.org/0000-0003-2015-4595"},"institutions":[{"id":"https://openalex.org/I33213144","display_name":"University of Florida","ror":"https://ror.org/02y3ad647","country_code":"US","type":"education","lineage":["https://openalex.org/I33213144"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Runhan Sun","raw_affiliation_strings":["Department of Mechanical and Aerospace Engineering, University of Florida, Gainesville, FL, USA"],"affiliations":[{"raw_affiliation_string":"Department of Mechanical and Aerospace Engineering, University of Florida, Gainesville, FL, USA","institution_ids":["https://openalex.org/I33213144"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5032651215","display_name":"Warren E. Dixon","orcid":"https://orcid.org/0000-0002-5091-181X"},"institutions":[{"id":"https://openalex.org/I33213144","display_name":"University of Florida","ror":"https://ror.org/02y3ad647","country_code":"US","type":"education","lineage":["https://openalex.org/I33213144"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Warren E. Dixon","raw_affiliation_strings":["Department of Mechanical and Aerospace Engineering, University of Florida, Gainesville, FL, USA"],"affiliations":[{"raw_affiliation_string":"Department of Mechanical and Aerospace Engineering, University of Florida, Gainesville, FL, USA","institution_ids":["https://openalex.org/I33213144"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5017779570"],"corresponding_institution_ids":["https://openalex.org/I33213144"],"apc_list":null,"apc_paid":null,"fwci":0.2024,"has_fulltext":false,"cited_by_count":3,"citation_normalized_percentile":{"value":0.56937256,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":96},"biblio":{"volume":"5","issue":null,"first_page":"1601","last_page":"1606"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10531","display_name":"Advanced Vision and Imaging","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/T10531","display_name":"Advanced Vision and Imaging","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":0.9991000294685364,"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/T12153","display_name":"Advanced Optical Sensing Technologies","score":0.9986000061035156,"subfield":{"id":"https://openalex.org/subfields/3105","display_name":"Instrumentation"},"field":{"id":"https://openalex.org/fields/31","display_name":"Physics and Astronomy"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.7255481481552124},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.7129968404769897},{"id":"https://openalex.org/keywords/object","display_name":"Object (grammar)","score":0.6501959562301636},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5679209232330322},{"id":"https://openalex.org/keywords/constraint","display_name":"Constraint (computer-aided design)","score":0.5165938138961792},{"id":"https://openalex.org/keywords/euclidean-distance","display_name":"Euclidean distance","score":0.4525716006755829},{"id":"https://openalex.org/keywords/euclidean-geometry","display_name":"Euclidean geometry","score":0.4476024806499481},{"id":"https://openalex.org/keywords/stability","display_name":"Stability (learning theory)","score":0.4388476610183716},{"id":"https://openalex.org/keywords/object-detection","display_name":"Object detection","score":0.4223708510398865},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.3450630307197571},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.1962304413318634},{"id":"https://openalex.org/keywords/geometry","display_name":"Geometry","score":0.07257229089736938}],"concepts":[{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.7255481481552124},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7129968404769897},{"id":"https://openalex.org/C2781238097","wikidata":"https://www.wikidata.org/wiki/Q175026","display_name":"Object (grammar)","level":2,"score":0.6501959562301636},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5679209232330322},{"id":"https://openalex.org/C2776036281","wikidata":"https://www.wikidata.org/wiki/Q48769818","display_name":"Constraint (computer-aided design)","level":2,"score":0.5165938138961792},{"id":"https://openalex.org/C120174047","wikidata":"https://www.wikidata.org/wiki/Q847073","display_name":"Euclidean distance","level":2,"score":0.4525716006755829},{"id":"https://openalex.org/C129782007","wikidata":"https://www.wikidata.org/wiki/Q162886","display_name":"Euclidean geometry","level":2,"score":0.4476024806499481},{"id":"https://openalex.org/C112972136","wikidata":"https://www.wikidata.org/wiki/Q7595718","display_name":"Stability (learning theory)","level":2,"score":0.4388476610183716},{"id":"https://openalex.org/C2776151529","wikidata":"https://www.wikidata.org/wiki/Q3045304","display_name":"Object detection","level":3,"score":0.4223708510398865},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.3450630307197571},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.1962304413318634},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.07257229089736938},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/cdc40024.2019.9029862","is_oa":false,"landing_page_url":"https://doi.org/10.1109/cdc40024.2019.9029862","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2019 IEEE 58th Conference on Decision and Control (CDC)","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":35,"referenced_works":["https://openalex.org/W297039922","https://openalex.org/W1990931149","https://openalex.org/W1992227190","https://openalex.org/W1992989752","https://openalex.org/W1995984472","https://openalex.org/W2009684199","https://openalex.org/W2017492978","https://openalex.org/W2034583847","https://openalex.org/W2036520023","https://openalex.org/W2057488855","https://openalex.org/W2059255398","https://openalex.org/W2060660113","https://openalex.org/W2091179168","https://openalex.org/W2098504982","https://openalex.org/W2100140380","https://openalex.org/W2104340364","https://openalex.org/W2118877769","https://openalex.org/W2127900929","https://openalex.org/W2128203070","https://openalex.org/W2161604192","https://openalex.org/W2171846155","https://openalex.org/W2273466378","https://openalex.org/W2344363180","https://openalex.org/W2613201842","https://openalex.org/W2762061748","https://openalex.org/W2782694651","https://openalex.org/W2804792778","https://openalex.org/W2886934024","https://openalex.org/W3103551169","https://openalex.org/W3106071648","https://openalex.org/W3143191607","https://openalex.org/W6675018092","https://openalex.org/W6677548441","https://openalex.org/W6679388247","https://openalex.org/W6682187423"],"related_works":["https://openalex.org/W2090152127","https://openalex.org/W1965169884","https://openalex.org/W4292830139","https://openalex.org/W3125580510","https://openalex.org/W4319309705","https://openalex.org/W2008939113","https://openalex.org/W2033213447","https://openalex.org/W14679004","https://openalex.org/W1566651525","https://openalex.org/W2977652649"],"abstract_inverted_index":{"Data-based,":[0],"exponentially":[1,89],"converging":[2],"observers":[3,50,84],"are":[4],"developed":[5,49,77,82],"for":[6,85],"a":[7,20,53],"network":[8],"of":[9,57,95],"stationary":[10],"cooperative":[11],"cameras":[12],"estimating":[13],"the":[14,25,32,40,58,76,81,92,96],"Euclidean":[15],"distance":[16,68,83],"to":[17,42,61,66,88],"features":[18,98],"on":[19],"moving":[21],"object":[22,41,59,97],"(and":[23],"hence,":[24],"objects'":[26],"accurately":[27],"scaled":[28],"structure),":[29],"without":[30],"requiring":[31,39],"typical":[33],"positive":[34],"depth":[35],"constraint":[36],"and":[37],"only":[38],"remain":[43],"in":[44],"one":[45],"camera's":[46],"field-of-view.":[47],"The":[48],"demonstrate":[51],"that":[52,75],"synthetic":[54,93],"persistent":[55],"view":[56],"relative":[60],"each":[62,86],"camera":[63,87],"is":[64],"sufficient":[65],"maintain":[67],"estimates.":[69],"A":[70],"Lyapunov-based":[71],"stability":[72],"analysis":[73],"demonstrates":[74],"geometric":[78],"approach":[79],"enables":[80],"converge":[90],"using":[91],"image":[94],"generated":[99],"by":[100],"neighboring":[101],"cameras.":[102]},"counts_by_year":[{"year":2024,"cited_by_count":1},{"year":2020,"cited_by_count":2}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}