{"id":"https://openalex.org/W1941749344","doi":"https://doi.org/10.1109/cvprw.2015.7301362","title":"Retrieving gray-level information from a Binary Sensor and its application to gesture detection","display_name":"Retrieving gray-level information from a Binary Sensor and its application to gesture detection","publication_year":2015,"publication_date":"2015-06-01","ids":{"openalex":"https://openalex.org/W1941749344","doi":"https://doi.org/10.1109/cvprw.2015.7301362","mag":"1941749344"},"language":"en","primary_location":{"id":"doi:10.1109/cvprw.2015.7301362","is_oa":false,"landing_page_url":"https://doi.org/10.1109/cvprw.2015.7301362","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2015 IEEE Conference on Computer Vision and Pattern Recognition Workshops (CVPRW)","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/A5023093138","display_name":"Orazio Gallo","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Orazio Gallo","raw_affiliation_strings":["NVIDIA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"NVIDIA","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5057943799","display_name":"Iuri Frosio","orcid":"https://orcid.org/0000-0002-7230-4287"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Iuri Frosio","raw_affiliation_strings":["NVIDIA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"NVIDIA","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5018998302","display_name":"Leonardo Gasparini","orcid":"https://orcid.org/0000-0003-2622-1488"},"institutions":[{"id":"https://openalex.org/I2277624104","display_name":"Fondazione Bruno Kessler","ror":"https://ror.org/01j33xk10","country_code":"IT","type":"facility","lineage":["https://openalex.org/I2277624104"]}],"countries":["IT"],"is_corresponding":false,"raw_author_name":"Leonardo Gasparini","raw_affiliation_strings":["Fondazione Bruno Kessler, Center for Materials & Microsystems"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Fondazione Bruno Kessler, Center for Materials & Microsystems","institution_ids":["https://openalex.org/I2277624104"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5110266324","display_name":"Kari Pulli","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Kari Pulli","raw_affiliation_strings":["Light","NVIDIA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Light","institution_ids":[]},{"raw_affiliation_string":"NVIDIA","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5032034155","display_name":"M. Gottardi","orcid":"https://orcid.org/0000-0003-0742-4642"},"institutions":[{"id":"https://openalex.org/I2277624104","display_name":"Fondazione Bruno Kessler","ror":"https://ror.org/01j33xk10","country_code":"IT","type":"facility","lineage":["https://openalex.org/I2277624104"]}],"countries":["IT"],"is_corresponding":false,"raw_author_name":"Massimo Gottardi","raw_affiliation_strings":["Fondazione Bruno Kessler, Center for Materials & Microsystems"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Fondazione Bruno Kessler, Center for Materials & Microsystems","institution_ids":["https://openalex.org/I2277624104"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":4,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":"1","issue":null,"first_page":"21","last_page":"26"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11992","display_name":"CCD and CMOS Imaging Sensors","score":1.0,"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":1.0,"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/T10502","display_name":"Advanced Memory and Neural Computing","score":0.9959999918937683,"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":0.9937000274658203,"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/pixel","display_name":"Pixel","score":0.8027452826499939},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7730770111083984},{"id":"https://openalex.org/keywords/gesture","display_name":"Gesture","score":0.6988611817359924},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6699461936950684},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.6602816581726074},{"id":"https://openalex.org/keywords/leverage","display_name":"Leverage (statistics)","score":0.6313945651054382},{"id":"https://openalex.org/keywords/image-sensor","display_name":"Image sensor","score":0.5845977663993835},{"id":"https://openalex.org/keywords/binary-number","display_name":"Binary number","score":0.568892776966095},{"id":"https://openalex.org/keywords/contrast","display_name":"Contrast (vision)","score":0.46568670868873596},{"id":"https://openalex.org/keywords/dynamic-range","display_name":"Dynamic range","score":0.42173904180526733},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.07606607675552368}],"concepts":[{"id":"https://openalex.org/C160633673","wikidata":"https://www.wikidata.org/wiki/Q355198","display_name":"Pixel","level":2,"score":0.8027452826499939},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7730770111083984},{"id":"https://openalex.org/C207347870","wikidata":"https://www.wikidata.org/wiki/Q371174","display_name":"Gesture","level":2,"score":0.6988611817359924},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6699461936950684},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.6602816581726074},{"id":"https://openalex.org/C153083717","wikidata":"https://www.wikidata.org/wiki/Q6535263","display_name":"Leverage (statistics)","level":2,"score":0.6313945651054382},{"id":"https://openalex.org/C76935873","wikidata":"https://www.wikidata.org/wiki/Q209121","display_name":"Image sensor","level":2,"score":0.5845977663993835},{"id":"https://openalex.org/C48372109","wikidata":"https://www.wikidata.org/wiki/Q3913","display_name":"Binary number","level":2,"score":0.568892776966095},{"id":"https://openalex.org/C2776502983","wikidata":"https://www.wikidata.org/wiki/Q690182","display_name":"Contrast (vision)","level":2,"score":0.46568670868873596},{"id":"https://openalex.org/C87133666","wikidata":"https://www.wikidata.org/wiki/Q1161699","display_name":"Dynamic range","level":2,"score":0.42173904180526733},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.07606607675552368},{"id":"https://openalex.org/C94375191","wikidata":"https://www.wikidata.org/wiki/Q11205","display_name":"Arithmetic","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/cvprw.2015.7301362","is_oa":false,"landing_page_url":"https://doi.org/10.1109/cvprw.2015.7301362","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2015 IEEE Conference on Computer Vision and Pattern Recognition Workshops (CVPRW)","raw_type":"proceedings-article"},{"id":"pmh:oai:CiteSeerX.psu:10.1.1.1012.5278","is_oa":false,"landing_page_url":"http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.1012.5278","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"http://www.cv-foundation.org/openaccess/content_cvpr_workshops_2015/W12/papers/Gallo_Retrieving_Gray-Level_Information_2015_CVPR_paper.pdf","raw_type":"text"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[{"id":"https://openalex.org/F4320322253","display_name":"Fondazione Bruno Kessler","ror":"https://ror.org/01j33xk10"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":17,"referenced_works":["https://openalex.org/W2061745545","https://openalex.org/W2069363022","https://openalex.org/W2076496703","https://openalex.org/W2078804196","https://openalex.org/W2097988027","https://openalex.org/W2110526812","https://openalex.org/W2114245607","https://openalex.org/W2117650935","https://openalex.org/W2139336997","https://openalex.org/W2141840773","https://openalex.org/W2155529599","https://openalex.org/W2156571376","https://openalex.org/W2162910395","https://openalex.org/W2172704881","https://openalex.org/W2396233508","https://openalex.org/W4237960886","https://openalex.org/W6680823361"],"related_works":["https://openalex.org/W2152888801","https://openalex.org/W4385733096","https://openalex.org/W2160828022","https://openalex.org/W2944239605","https://openalex.org/W1873415836","https://openalex.org/W1966415111","https://openalex.org/W2093540298","https://openalex.org/W2742371893","https://openalex.org/W4200290804","https://openalex.org/W2139783875"],"abstract_inverted_index":{"We":[0,67],"report":[1],"on":[2],"the":[3,55,60,69,91],"use":[4,97],"of":[5,24,35],"a":[6,32,40,58,63,80,96],"CMOS":[7],"Contrast-based":[8],"Binary":[9],"Vision":[10],"Sensor":[11],"(CBVS),":[12],"with":[13],"embedded":[14],"contrast":[15],"extraction,":[16],"for":[17,99,109],"gesture":[18,107],"detection":[19],"applications.":[20],"The":[21],"first":[22],"advantage":[23],"using":[25],"this":[26,83,100],"sensor":[27,61],"over":[28],"commercial":[29],"imagers":[30],"is":[31,50],"dynamic":[33],"range":[34],"120dB,":[36],"made":[37],"possible":[38],"by":[39,52],"pixel":[41],"design":[42],"that":[43],"effectively":[44],"performs":[45],"auto-exposure":[46],"control.":[47],"Another":[48],"benefit":[49],"that,":[51],"only":[53],"delivering":[54],"pixels":[56],"detecting":[57],"contrast,":[59],"requires":[62],"very":[64],"limited":[65],"bandwidth.":[66],"leverage":[68],"sensor's":[70],"fast":[71],"150\u03bcs":[72],"readout":[73,102],"speed,":[74],"to":[75,86],"perform":[76],"multiple":[77],"reads":[78],"during":[79],"single":[81],"exposure;":[82],"allows":[84],"us":[85],"estimate":[87],"gray-level":[88],"information":[89],"from":[90],"otherwise":[92],"binary":[93],"pixels.":[94],"As":[95],"case":[98],"novel":[101],"strategy,":[103],"we":[104,111],"selected":[105],"in-car":[106],"detection,":[108],"which":[110],"carried":[112],"out":[113],"preliminary":[114],"tests":[115],"showing":[116],"encouraging":[117],"results.":[118]},"counts_by_year":[{"year":2017,"cited_by_count":2},{"year":2016,"cited_by_count":2}],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}
