{"id":"https://openalex.org/W4405937568","doi":"https://doi.org/10.1109/iccais63750.2024.10814540","title":"On Time-varying Size Estimation of Visual Target by State Estimation via Particle Filter","display_name":"On Time-varying Size Estimation of Visual Target by State Estimation via Particle Filter","publication_year":2024,"publication_date":"2024-11-26","ids":{"openalex":"https://openalex.org/W4405937568","doi":"https://doi.org/10.1109/iccais63750.2024.10814540"},"language":"en","primary_location":{"id":"doi:10.1109/iccais63750.2024.10814540","is_oa":false,"landing_page_url":"https://doi.org/10.1109/iccais63750.2024.10814540","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 13th International Conference on Control, Automation and Information Sciences (ICCAIS)","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/A5067764774","display_name":"Norikazu Ikoma","orcid":null},"institutions":[{"id":"https://openalex.org/I95053508","display_name":"Nippon Institute of Technology","ror":"https://ror.org/05h68bp56","country_code":"JP","type":"education","lineage":["https://openalex.org/I95053508"]}],"countries":["JP"],"is_corresponding":true,"raw_author_name":"Norikazu Ikoma","raw_affiliation_strings":["Electronics, and Communication Engineering, Nippon Institute of Technology,Dept. of Electrical,Minami-Saitama-Gun,Saitama,JAPAN,345\u20138501"],"affiliations":[{"raw_affiliation_string":"Electronics, and Communication Engineering, Nippon Institute of Technology,Dept. of Electrical,Minami-Saitama-Gun,Saitama,JAPAN,345\u20138501","institution_ids":["https://openalex.org/I95053508"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":["https://openalex.org/A5067764774"],"corresponding_institution_ids":["https://openalex.org/I95053508"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.13679063,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"8"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12389","display_name":"Infrared Target Detection Methodologies","score":0.9869999885559082,"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"}},"topics":[{"id":"https://openalex.org/T12389","display_name":"Infrared Target Detection Methodologies","score":0.9869999885559082,"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/T14257","display_name":"Advanced Measurement and Detection Methods","score":0.9384999871253967,"subfield":{"id":"https://openalex.org/subfields/2208","display_name":"Electrical and Electronic 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/particle-filter","display_name":"Particle filter","score":0.7817510366439819},{"id":"https://openalex.org/keywords/estimation","display_name":"Estimation","score":0.7583264112472534},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5642992258071899},{"id":"https://openalex.org/keywords/state","display_name":"State (computer science)","score":0.43438631296157837},{"id":"https://openalex.org/keywords/filter","display_name":"Filter (signal processing)","score":0.40937528014183044},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.3581300675868988},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.35766589641571045},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.1889573335647583},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.11035919189453125}],"concepts":[{"id":"https://openalex.org/C52421305","wikidata":"https://www.wikidata.org/wiki/Q1151499","display_name":"Particle filter","level":3,"score":0.7817510366439819},{"id":"https://openalex.org/C96250715","wikidata":"https://www.wikidata.org/wiki/Q965330","display_name":"Estimation","level":2,"score":0.7583264112472534},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5642992258071899},{"id":"https://openalex.org/C48103436","wikidata":"https://www.wikidata.org/wiki/Q599031","display_name":"State (computer science)","level":2,"score":0.43438631296157837},{"id":"https://openalex.org/C106131492","wikidata":"https://www.wikidata.org/wiki/Q3072260","display_name":"Filter (signal processing)","level":2,"score":0.40937528014183044},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.3581300675868988},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.35766589641571045},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.1889573335647583},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.11035919189453125},{"id":"https://openalex.org/C201995342","wikidata":"https://www.wikidata.org/wiki/Q682496","display_name":"Systems engineering","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/iccais63750.2024.10814540","is_oa":false,"landing_page_url":"https://doi.org/10.1109/iccais63750.2024.10814540","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 13th International Conference on Control, Automation and Information Sciences (ICCAIS)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/13","score":0.44999998807907104,"display_name":"Climate action"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":9,"referenced_works":["https://openalex.org/W2123378338","https://openalex.org/W2887263092","https://openalex.org/W2990307629","https://openalex.org/W3012271043","https://openalex.org/W4384916595","https://openalex.org/W4388145630","https://openalex.org/W6610139577","https://openalex.org/W6630950561","https://openalex.org/W6633359097"],"related_works":["https://openalex.org/W2015530857","https://openalex.org/W1991846142","https://openalex.org/W2556064263","https://openalex.org/W1583020711","https://openalex.org/W1521151968","https://openalex.org/W2128655648","https://openalex.org/W2900672867","https://openalex.org/W1690802106","https://openalex.org/W2033368883","https://openalex.org/W2282975717"],"abstract_inverted_index":{"Likelihood":[0],"design":[1],"in":[2,10,96,147],"state":[3],"space":[4],"modeling":[5],"for":[6,21,54],"visual":[7],"target":[8,26,134,149],"tracking":[9,49,150],"a":[11,35,65],"manner":[12],"of":[13,24,38,89,122,130,132,161],"track-before-detect":[14],"via":[15],"particle":[16],"filter":[17],"may":[18,94],"cause":[19],"problem":[20],"estimating":[22],"size":[23,76],"the":[25,39,48,67,97,110,120,128,133,138,155,162],"to":[27,78,118],"be":[28],"tracked.":[29],"Specifically,":[30],"color":[31,81],"histogram":[32,45,53,82],"matching":[33,83],"is":[34,84],"typical":[36],"case":[37],"likelihood":[40,68,145,171],"where":[41],"two":[42],"histograms,":[43],"memorized":[44],"beforehand":[46],"applying":[47],"procedure":[50],"and":[51,105,124],"captured":[52],"each":[55],"particle,":[56],"are":[57],"compared":[58],"based":[59,100],"on":[60,91,101,170],"Bhattacharyya":[61],"distance.":[62],"In":[63],"such":[64],"case,":[66],"has":[69,140],"scale":[70,92],"invariant":[71,93],"characteristic,":[72],"so":[73,106],"it":[74],"causes":[75],"estimation":[77],"fail.":[79],"Although":[80],"old-fashioned":[85],"method,":[86],"this":[87,113],"kind":[88],"phenomena":[90],"occur":[95],"recent":[98],"methods":[99],"deep":[102],"neural":[103],"networks,":[104],"on.":[107],"To":[108],"circumvent":[109],"above":[111],"difficulty,":[112],"paper":[114],"proposes":[115],"an":[116],"idea":[117,139,164],"incorporate":[119],"ratio":[121],"target-likelihood":[123],"background-likelihood":[125],"powered":[126],"by":[127,143],"number":[129],"pixels":[131],"region.":[135],"Note":[136],"that":[137],"been":[141],"inspired":[142],"separable":[144],"appeared":[146],"multiple":[148],"scenarios.":[151],"Simulation":[152],"experiments":[153],"over":[154],"synthetic":[156],"video":[157],"images":[158],"demonstrate":[159],"performance":[160],"proposed":[163],"with":[165],"comparison":[166],"among":[167],"some":[168],"variants":[169],"designs.":[172]},"counts_by_year":[],"updated_date":"2025-12-27T23:08:20.325037","created_date":"2025-10-10T00:00:00"}