{"id":"https://openalex.org/W2066902831","doi":"https://doi.org/10.1109/iros.2005.1545473","title":"Development of higher order autocorrelation vision chip","display_name":"Development of higher order autocorrelation vision chip","publication_year":2005,"publication_date":"2005-01-01","ids":{"openalex":"https://openalex.org/W2066902831","doi":"https://doi.org/10.1109/iros.2005.1545473","mag":"2066902831"},"language":"en","primary_location":{"id":"doi:10.1109/iros.2005.1545473","is_oa":false,"landing_page_url":"https://doi.org/10.1109/iros.2005.1545473","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2005 IEEE/RSJ International Conference on Intelligent Robots and Systems","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/A5110502000","display_name":"Kenkichi Yamamoto","orcid":null},"institutions":[{"id":"https://openalex.org/I113306721","display_name":"Hiroshima University","ror":"https://ror.org/03t78wx29","country_code":"JP","type":"education","lineage":["https://openalex.org/I113306721"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"K. Yamamoto","raw_affiliation_strings":["Graduate School of Engineering, Department of Artificial Complex System Engineering, Hiroshima University, Higashihiroshima, Hiroshima, Japan","Dept. of Artificial Complex Syst. Eng., Hiroshima Univ., Japan#TAB#"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Graduate School of Engineering, Department of Artificial Complex System Engineering, Hiroshima University, Higashihiroshima, Hiroshima, Japan","institution_ids":["https://openalex.org/I113306721"]},{"raw_affiliation_string":"Dept. of Artificial Complex Syst. Eng., Hiroshima Univ., Japan#TAB#","institution_ids":["https://openalex.org/I113306721"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5065986834","display_name":"M. Kubozono","orcid":null},"institutions":[{"id":"https://openalex.org/I113306721","display_name":"Hiroshima University","ror":"https://ror.org/03t78wx29","country_code":"JP","type":"education","lineage":["https://openalex.org/I113306721"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"M. Kubozono","raw_affiliation_strings":["Graduate School of Engineering, Department of Artificial Complex System Engineering, Hiroshima University, Higashihiroshima, Hiroshima, Japan","Dept. of Artificial Complex Syst. Eng., Hiroshima Univ., Japan#TAB#"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Graduate School of Engineering, Department of Artificial Complex System Engineering, Hiroshima University, Higashihiroshima, Hiroshima, Japan","institution_ids":["https://openalex.org/I113306721"]},{"raw_affiliation_string":"Dept. of Artificial Complex Syst. Eng., Hiroshima Univ., Japan#TAB#","institution_ids":["https://openalex.org/I113306721"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5060719224","display_name":"Idaku Ishii","orcid":"https://orcid.org/0000-0002-7728-2363"},"institutions":[{"id":"https://openalex.org/I113306721","display_name":"Hiroshima University","ror":"https://ror.org/03t78wx29","country_code":"JP","type":"education","lineage":["https://openalex.org/I113306721"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"I. Ishii","raw_affiliation_strings":["Graduate School of Engineering, Department of Artificial Complex System Engineering, Hiroshima University, Higashihiroshima, Hiroshima, Japan","Dept. of Artificial Complex Syst. Eng., Hiroshima Univ., Japan#TAB#"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Graduate School of Engineering, Department of Artificial Complex System Engineering, Hiroshima University, Higashihiroshima, Hiroshima, Japan","institution_ids":["https://openalex.org/I113306721"]},{"raw_affiliation_string":"Dept. of Artificial Complex Syst. Eng., Hiroshima Univ., Japan#TAB#","institution_ids":["https://openalex.org/I113306721"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I113306721"],"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":"12","issue":null,"first_page":"2675","last_page":"2680"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11992","display_name":"CCD and CMOS Imaging Sensors","score":0.9998999834060669,"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"}},"topics":[{"id":"https://openalex.org/T11992","display_name":"CCD and CMOS Imaging Sensors","score":0.9998999834060669,"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"}},{"id":"https://openalex.org/T12389","display_name":"Infrared Target Detection Methodologies","score":0.9958999752998352,"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/T12236","display_name":"Photoreceptor and optogenetics research","score":0.9934999942779541,"subfield":{"id":"https://openalex.org/subfields/2804","display_name":"Cellular and Molecular Neuroscience"},"field":{"id":"https://openalex.org/fields/28","display_name":"Neuroscience"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/autocorrelation","display_name":"Autocorrelation","score":0.7527559399604797},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7276912927627563},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6145451068878174},{"id":"https://openalex.org/keywords/architecture","display_name":"Architecture","score":0.6121251583099365},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.5971165299415588},{"id":"https://openalex.org/keywords/chip","display_name":"Chip","score":0.5874832272529602},{"id":"https://openalex.org/keywords/pixel","display_name":"Pixel","score":0.5485180616378784},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.48125144839286804},{"id":"https://openalex.org/keywords/moment","display_name":"Moment (physics)","score":0.434886634349823},{"id":"https://openalex.org/keywords/image-processing","display_name":"Image processing","score":0.4289565086364746},{"id":"https://openalex.org/keywords/machine-vision","display_name":"Machine vision","score":0.42440688610076904},{"id":"https://openalex.org/keywords/tracking","display_name":"Tracking (education)","score":0.41087818145751953},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.330422043800354},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.32753807306289673},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.10442200303077698},{"id":"https://openalex.org/keywords/telecommunications","display_name":"Telecommunications","score":0.08880683779716492},{"id":"https://openalex.org/keywords/geography","display_name":"Geography","score":0.06702518463134766}],"concepts":[{"id":"https://openalex.org/C5297727","wikidata":"https://www.wikidata.org/wiki/Q786970","display_name":"Autocorrelation","level":2,"score":0.7527559399604797},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7276912927627563},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6145451068878174},{"id":"https://openalex.org/C123657996","wikidata":"https://www.wikidata.org/wiki/Q12271","display_name":"Architecture","level":2,"score":0.6121251583099365},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.5971165299415588},{"id":"https://openalex.org/C165005293","wikidata":"https://www.wikidata.org/wiki/Q1074500","display_name":"Chip","level":2,"score":0.5874832272529602},{"id":"https://openalex.org/C160633673","wikidata":"https://www.wikidata.org/wiki/Q355198","display_name":"Pixel","level":2,"score":0.5485180616378784},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.48125144839286804},{"id":"https://openalex.org/C179254644","wikidata":"https://www.wikidata.org/wiki/Q13222844","display_name":"Moment (physics)","level":2,"score":0.434886634349823},{"id":"https://openalex.org/C9417928","wikidata":"https://www.wikidata.org/wiki/Q1070689","display_name":"Image processing","level":3,"score":0.4289565086364746},{"id":"https://openalex.org/C5339829","wikidata":"https://www.wikidata.org/wiki/Q1425977","display_name":"Machine vision","level":2,"score":0.42440688610076904},{"id":"https://openalex.org/C2775936607","wikidata":"https://www.wikidata.org/wiki/Q466845","display_name":"Tracking (education)","level":2,"score":0.41087818145751953},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.330422043800354},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.32753807306289673},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.10442200303077698},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.08880683779716492},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.06702518463134766},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.0},{"id":"https://openalex.org/C74650414","wikidata":"https://www.wikidata.org/wiki/Q11397","display_name":"Classical mechanics","level":1,"score":0.0},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C166957645","wikidata":"https://www.wikidata.org/wiki/Q23498","display_name":"Archaeology","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},{"id":"https://openalex.org/C19417346","wikidata":"https://www.wikidata.org/wiki/Q7922","display_name":"Pedagogy","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/iros.2005.1545473","is_oa":false,"landing_page_url":"https://doi.org/10.1109/iros.2005.1545473","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2005 IEEE/RSJ International Conference on Intelligent Robots and Systems","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.5199999809265137,"display_name":"Industry, innovation and infrastructure","id":"https://metadata.un.org/sdg/9"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":14,"referenced_works":["https://openalex.org/W117943111","https://openalex.org/W1967591226","https://openalex.org/W2022060843","https://openalex.org/W2028931872","https://openalex.org/W2095976476","https://openalex.org/W2104839467","https://openalex.org/W2127968420","https://openalex.org/W2139886987","https://openalex.org/W2145879814","https://openalex.org/W2177690825","https://openalex.org/W2584840801","https://openalex.org/W2610639187","https://openalex.org/W4205749273","https://openalex.org/W6604815279"],"related_works":["https://openalex.org/W747394405","https://openalex.org/W1987236514","https://openalex.org/W174653542","https://openalex.org/W2381153750","https://openalex.org/W2041235277","https://openalex.org/W2088220880","https://openalex.org/W2022021973","https://openalex.org/W3121354342","https://openalex.org/W2566290947","https://openalex.org/W4296160109"],"abstract_inverted_index":{"In":[0],"this":[1],"paper,":[2],"we":[3],"propose":[4],"a":[5,18],"new":[6],"vision":[7,20],"chip":[8],"architecture":[9,37],"specialized":[10],"for":[11],"target":[12],"tracking":[13],"and":[14,16,27,45],"recognition,":[15],"describe":[17],"prototype":[19],"chip.":[21],"Both":[22],"higher":[23],"order":[24,39],"correlation":[25],"features":[26,29],"moment":[28],"extraction":[30],"algorithms":[31],"are":[32],"implemented":[33],"in":[34,38],"the":[35],"proposed":[36],"to":[40],"achieve":[41],"highspeed":[42],"image":[43],"processing":[44],"enhanced":[46],"pixel":[47],"integration.":[48]},"counts_by_year":[],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}