{"id":"https://openalex.org/W1673651863","doi":"https://doi.org/10.1109/icpr.2002.1048224","title":"Tracking objects using recovered physical motion parameters","display_name":"Tracking objects using recovered physical motion parameters","publication_year":2003,"publication_date":"2003-06-25","ids":{"openalex":"https://openalex.org/W1673651863","doi":"https://doi.org/10.1109/icpr.2002.1048224","mag":"1673651863"},"language":"en","primary_location":{"id":"doi:10.1109/icpr.2002.1048224","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icpr.2002.1048224","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Object recognition supported by user interaction for service robots","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/A5100419830","display_name":"Yong Zhang","orcid":"https://orcid.org/0000-0002-9587-4039"},"institutions":[{"id":"https://openalex.org/I2613432","display_name":"University of South Florida","ror":"https://ror.org/032db5x82","country_code":"US","type":"education","lineage":["https://openalex.org/I2613432"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Yong Zhang","raw_affiliation_strings":["Department of Computer Science & Engineering, University of South Florida, Tampa, FL, USA"],"affiliations":[{"raw_affiliation_string":"Department of Computer Science & Engineering, University of South Florida, Tampa, FL, USA","institution_ids":["https://openalex.org/I2613432"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5053211631","display_name":"Dmitry B. Goldgof","orcid":"https://orcid.org/0000-0001-5461-863X"},"institutions":[{"id":"https://openalex.org/I2613432","display_name":"University of South Florida","ror":"https://ror.org/032db5x82","country_code":"US","type":"education","lineage":["https://openalex.org/I2613432"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"D.B. Goldgof","raw_affiliation_strings":["Department of Computer Science & Engineering, University of South Florida, Tampa, FL, USA"],"affiliations":[{"raw_affiliation_string":"Department of Computer Science & Engineering, University of South Florida, Tampa, FL, USA","institution_ids":["https://openalex.org/I2613432"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5020674314","display_name":"Sudeep Sarkar","orcid":"https://orcid.org/0000-0001-7332-4207"},"institutions":[{"id":"https://openalex.org/I2613432","display_name":"University of South Florida","ror":"https://ror.org/032db5x82","country_code":"US","type":"education","lineage":["https://openalex.org/I2613432"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"S. Sarkar","raw_affiliation_strings":["Department of Computer Science & Engineering, University of South Florida, Tampa, FL, USA"],"affiliations":[{"raw_affiliation_string":"Department of Computer Science & Engineering, University of South Florida, Tampa, FL, USA","institution_ids":["https://openalex.org/I2613432"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5079180276","display_name":"L.V. Tsap","orcid":null},"institutions":[{"id":"https://openalex.org/I1282311441","display_name":"Lawrence Livermore National Laboratory","ror":"https://ror.org/041nk4h53","country_code":"US","type":"facility","lineage":["https://openalex.org/I1282311441","https://openalex.org/I1330989302","https://openalex.org/I198811213","https://openalex.org/I4210138311"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"L.V. Tsap","raw_affiliation_strings":["Center for Applied Scientific Computing, Lawrence Livemore National Laboratory, Livermore, CA, USA"],"affiliations":[{"raw_affiliation_string":"Center for Applied Scientific Computing, Lawrence Livemore National Laboratory, Livermore, CA, USA","institution_ids":["https://openalex.org/I1282311441"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5100419830"],"corresponding_institution_ids":["https://openalex.org/I2613432"],"apc_list":null,"apc_paid":null,"fwci":0.5384,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.65836682,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"2","issue":null,"first_page":"10","last_page":"13"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10531","display_name":"Advanced Vision and Imaging","score":0.9994999766349792,"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":0.9994999766349792,"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/T10638","display_name":"Optical measurement and interference techniques","score":0.9987000226974487,"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":0.9973999857902527,"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/tracking","display_name":"Tracking (education)","score":0.8351726531982422},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.7144265174865723},{"id":"https://openalex.org/keywords/motion","display_name":"Motion (physics)","score":0.67453932762146},{"id":"https://openalex.org/keywords/match-moving","display_name":"Match moving","score":0.6728208065032959},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6425181031227112},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6416453719139099},{"id":"https://openalex.org/keywords/boundary","display_name":"Boundary (topology)","score":0.610196053981781},{"id":"https://openalex.org/keywords/object","display_name":"Object (grammar)","score":0.5812923908233643},{"id":"https://openalex.org/keywords/motion-estimation","display_name":"Motion estimation","score":0.5260897874832153},{"id":"https://openalex.org/keywords/motion-analysis","display_name":"Motion analysis","score":0.4255506992340088},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.25075453519821167},{"id":"https://openalex.org/keywords/mathematical-analysis","display_name":"Mathematical analysis","score":0.10529732704162598}],"concepts":[{"id":"https://openalex.org/C2775936607","wikidata":"https://www.wikidata.org/wiki/Q466845","display_name":"Tracking (education)","level":2,"score":0.8351726531982422},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.7144265174865723},{"id":"https://openalex.org/C104114177","wikidata":"https://www.wikidata.org/wiki/Q79782","display_name":"Motion (physics)","level":2,"score":0.67453932762146},{"id":"https://openalex.org/C95020103","wikidata":"https://www.wikidata.org/wiki/Q1813492","display_name":"Match moving","level":3,"score":0.6728208065032959},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6425181031227112},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6416453719139099},{"id":"https://openalex.org/C62354387","wikidata":"https://www.wikidata.org/wiki/Q875399","display_name":"Boundary (topology)","level":2,"score":0.610196053981781},{"id":"https://openalex.org/C2781238097","wikidata":"https://www.wikidata.org/wiki/Q175026","display_name":"Object (grammar)","level":2,"score":0.5812923908233643},{"id":"https://openalex.org/C10161872","wikidata":"https://www.wikidata.org/wiki/Q557891","display_name":"Motion estimation","level":2,"score":0.5260897874832153},{"id":"https://openalex.org/C2777036941","wikidata":"https://www.wikidata.org/wiki/Q6917771","display_name":"Motion analysis","level":2,"score":0.4255506992340088},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.25075453519821167},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.10529732704162598},{"id":"https://openalex.org/C19417346","wikidata":"https://www.wikidata.org/wiki/Q7922","display_name":"Pedagogy","level":1,"score":0.0},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/icpr.2002.1048224","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icpr.2002.1048224","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Object recognition supported by user interaction for service robots","raw_type":"proceedings-article"},{"id":"pmh:oai:CiteSeerX.psu:10.1.1.19.8852","is_oa":false,"landing_page_url":"http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.19.8852","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"http://marathon.csee.usf.edu/~tsap/papers/icpr02.pdf","raw_type":"text"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":17,"referenced_works":["https://openalex.org/W25917992","https://openalex.org/W124426911","https://openalex.org/W1570089119","https://openalex.org/W2025934818","https://openalex.org/W2043811824","https://openalex.org/W2067358306","https://openalex.org/W2098916810","https://openalex.org/W2139760675","https://openalex.org/W2139762693","https://openalex.org/W2143107221","https://openalex.org/W2145150138","https://openalex.org/W2159082724","https://openalex.org/W2160225702","https://openalex.org/W2169045386","https://openalex.org/W2178278515","https://openalex.org/W2567286562","https://openalex.org/W6601075997"],"related_works":["https://openalex.org/W2055991023","https://openalex.org/W2104332279","https://openalex.org/W1978569796","https://openalex.org/W4281846896","https://openalex.org/W2089042722","https://openalex.org/W1673651863","https://openalex.org/W176798505","https://openalex.org/W2182037499","https://openalex.org/W2046491844","https://openalex.org/W2144481990"],"abstract_inverted_index":{"This":[0],"paper":[1],"presents":[2],"a":[3],"physical":[4,26,56,68],"model-based":[5],"method":[6,18],"for":[7],"recovering":[8],"and":[9],"tracking":[10,38,76],"nonrigid":[11],"motion":[12,21,42],"of":[13,24,34,43],"elastic":[14],"objects.":[15,36],"The":[16,37],"proposed":[17],"recovers":[19],"the":[20,32,35,41,44,47,50,55,66,75],"in":[22],"terms":[23],"actual":[25],"parameters":[27,69],"(Young's":[28],"modulus)":[29],"that":[30,64],"characterize":[31],"dynamics":[33],"scheme":[39],"synthesizes":[40],"points":[45],"inside":[46],"object":[48],"from":[49],"boundary":[51],"observations,":[52],"constrained":[53],"by":[54],"parameters.":[57],"Experiments":[58],"on":[59],"three":[60],"image":[61],"sequences":[62],"show":[63],"using":[65],"recovered":[67],"as":[70],"constraints":[71],"can":[72],"greatly":[73],"improve":[74],"quality.":[77]},"counts_by_year":[],"updated_date":"2026-04-04T16:13:02.066488","created_date":"2025-10-10T00:00:00"}
