{"id":"https://openalex.org/W2290156049","doi":"https://doi.org/10.1109/acssc.2015.7421409","title":"Algorithms for tracking with a foveal sensor","display_name":"Algorithms for tracking with a foveal sensor","publication_year":2015,"publication_date":"2015-11-01","ids":{"openalex":"https://openalex.org/W2290156049","doi":"https://doi.org/10.1109/acssc.2015.7421409","mag":"2290156049"},"language":"en","primary_location":{"id":"doi:10.1109/acssc.2015.7421409","is_oa":false,"landing_page_url":"https://doi.org/10.1109/acssc.2015.7421409","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2015 49th Asilomar Conference on Signals, Systems and Computers","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/A5072522626","display_name":"Gregory P. Spell","orcid":null},"institutions":[{"id":"https://openalex.org/I170897317","display_name":"Duke University","ror":"https://ror.org/00py81415","country_code":"US","type":"education","lineage":["https://openalex.org/I170897317"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Gregory Spell","raw_affiliation_strings":["Pratt School of Engineering, Duke University, Durham, NC, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Pratt School of Engineering, Duke University, Durham, NC, USA","institution_ids":["https://openalex.org/I170897317"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5112661161","display_name":"Douglas Cochran","orcid":null},"institutions":[{"id":"https://openalex.org/I55732556","display_name":"Arizona State University","ror":"https://ror.org/03efmqc40","country_code":"US","type":"education","lineage":["https://openalex.org/I55732556"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Douglas Cochran","raw_affiliation_strings":["School of Mathematical & Statistical Sciences, Arizona State University, Tempe, AZ, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Mathematical & Statistical Sciences, Arizona State University, Tempe, AZ, USA","institution_ids":["https://openalex.org/I55732556"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"1563","last_page":"1565"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10711","display_name":"Target Tracking and Data Fusion in Sensor Networks","score":0.996399998664856,"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"}},"topics":[{"id":"https://openalex.org/T10711","display_name":"Target Tracking and Data Fusion in Sensor Networks","score":0.996399998664856,"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"}},{"id":"https://openalex.org/T12321","display_name":"Insect Pheromone Research and Control","score":0.9110999703407288,"subfield":{"id":"https://openalex.org/subfields/1109","display_name":"Insect Science"},"field":{"id":"https://openalex.org/fields/11","display_name":"Agricultural and Biological Sciences"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/foveal","display_name":"Foveal","score":0.8457064032554626},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7450391054153442},{"id":"https://openalex.org/keywords/kalman-filter","display_name":"Kalman filter","score":0.7297133803367615},{"id":"https://openalex.org/keywords/tracking","display_name":"Tracking (education)","score":0.701776921749115},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.6763886213302612},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6107255816459656},{"id":"https://openalex.org/keywords/position","display_name":"Position (finance)","score":0.5372322797775269},{"id":"https://openalex.org/keywords/extended-kalman-filter","display_name":"Extended Kalman filter","score":0.4305284321308136},{"id":"https://openalex.org/keywords/trajectory","display_name":"Trajectory","score":0.4244658052921295},{"id":"https://openalex.org/keywords/scheme","display_name":"Scheme (mathematics)","score":0.42200466990470886},{"id":"https://openalex.org/keywords/position-sensor","display_name":"Position sensor","score":0.41950976848602295},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.11054888367652893},{"id":"https://openalex.org/keywords/physics","display_name":"Physics","score":0.08417034149169922},{"id":"https://openalex.org/keywords/acoustics","display_name":"Acoustics","score":0.07652401924133301}],"concepts":[{"id":"https://openalex.org/C30181142","wikidata":"https://www.wikidata.org/wiki/Q865103","display_name":"Foveal","level":3,"score":0.8457064032554626},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7450391054153442},{"id":"https://openalex.org/C157286648","wikidata":"https://www.wikidata.org/wiki/Q846780","display_name":"Kalman filter","level":2,"score":0.7297133803367615},{"id":"https://openalex.org/C2775936607","wikidata":"https://www.wikidata.org/wiki/Q466845","display_name":"Tracking (education)","level":2,"score":0.701776921749115},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.6763886213302612},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6107255816459656},{"id":"https://openalex.org/C198082294","wikidata":"https://www.wikidata.org/wiki/Q3399648","display_name":"Position (finance)","level":2,"score":0.5372322797775269},{"id":"https://openalex.org/C206833254","wikidata":"https://www.wikidata.org/wiki/Q5421817","display_name":"Extended Kalman filter","level":3,"score":0.4305284321308136},{"id":"https://openalex.org/C13662910","wikidata":"https://www.wikidata.org/wiki/Q193139","display_name":"Trajectory","level":2,"score":0.4244658052921295},{"id":"https://openalex.org/C77618280","wikidata":"https://www.wikidata.org/wiki/Q1155772","display_name":"Scheme (mathematics)","level":2,"score":0.42200466990470886},{"id":"https://openalex.org/C29258643","wikidata":"https://www.wikidata.org/wiki/Q2937669","display_name":"Position sensor","level":3,"score":0.41950976848602295},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.11054888367652893},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.08417034149169922},{"id":"https://openalex.org/C24890656","wikidata":"https://www.wikidata.org/wiki/Q82811","display_name":"Acoustics","level":1,"score":0.07652401924133301},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.0},{"id":"https://openalex.org/C1276947","wikidata":"https://www.wikidata.org/wiki/Q333","display_name":"Astronomy","level":1,"score":0.0},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.0},{"id":"https://openalex.org/C19417346","wikidata":"https://www.wikidata.org/wiki/Q7922","display_name":"Pedagogy","level":1,"score":0.0},{"id":"https://openalex.org/C108439606","wikidata":"https://www.wikidata.org/wiki/Q3305038","display_name":"Angular displacement","level":2,"score":0.0},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.0},{"id":"https://openalex.org/C10138342","wikidata":"https://www.wikidata.org/wiki/Q43015","display_name":"Finance","level":1,"score":0.0},{"id":"https://openalex.org/C55493867","wikidata":"https://www.wikidata.org/wiki/Q7094","display_name":"Biochemistry","level":1,"score":0.0},{"id":"https://openalex.org/C2780827179","wikidata":"https://www.wikidata.org/wiki/Q422001","display_name":"Retinal","level":2,"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":1,"locations":[{"id":"doi:10.1109/acssc.2015.7421409","is_oa":false,"landing_page_url":"https://doi.org/10.1109/acssc.2015.7421409","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2015 49th Asilomar Conference on Signals, Systems and Computers","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":7,"referenced_works":["https://openalex.org/W1578285058","https://openalex.org/W1903279326","https://openalex.org/W2036047243","https://openalex.org/W2041899875","https://openalex.org/W2161248904","https://openalex.org/W2164918837","https://openalex.org/W6684264860"],"related_works":["https://openalex.org/W4392163599","https://openalex.org/W2283340763","https://openalex.org/W3097691005","https://openalex.org/W4244194911","https://openalex.org/W2095328482","https://openalex.org/W3170699495","https://openalex.org/W2527310254","https://openalex.org/W1985942700","https://openalex.org/W2103062922","https://openalex.org/W2162299404"],"abstract_inverted_index":{"A":[0],"foveal":[1],"sensor":[2,26,43],"employs":[3],"a":[4,12,25,29,56,78],"small":[5],"region":[6,40],"of":[7,14,41,69],"high":[8],"acuity":[9],"surrounded":[10],"by":[11],"periphery":[13],"lesser":[15],"acuity.":[16],"This":[17,32,51],"paper":[18],"describes":[19],"an":[20],"approach":[21,33],"for":[22,27,63],"managing":[23],"such":[24],"tracking":[28,81],"single":[30],"target.":[31,50],"seeks":[34],"to":[35,44,61],"adaptively":[36],"position":[37],"the":[38,42,49,64,70],"high-acuity":[39],"keep":[45],"it":[46],"centered":[47],"on":[48],"scheme":[52],"is":[53,73],"incorporated":[54],"into":[55],"Kalman":[57],"filter,":[58],"suitably":[59],"modified":[60],"account":[62],"nonlinearity":[65],"and":[66],"spatial":[67],"agility":[68],"sensor.":[71],"It":[72],"evaluated":[74],"using":[75],"simulations":[76],"in":[77],"two-dimensional":[79],"target":[80],"scenario.":[82]},"counts_by_year":[{"year":2019,"cited_by_count":2}],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}
