{"id":"https://openalex.org/W4405490874","doi":"https://doi.org/10.1109/sensors60989.2024.10784814","title":"Lightweight Object Detection Model for a CMOS Image Sensor with Binary Feature Extraction","display_name":"Lightweight Object Detection Model for a CMOS Image Sensor with Binary Feature Extraction","publication_year":2024,"publication_date":"2024-10-20","ids":{"openalex":"https://openalex.org/W4405490874","doi":"https://doi.org/10.1109/sensors60989.2024.10784814"},"language":"en","primary_location":{"id":"doi:10.1109/sensors60989.2024.10784814","is_oa":false,"landing_page_url":"https://doi.org/10.1109/sensors60989.2024.10784814","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 IEEE SENSORS","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/A5024949762","display_name":"K Kuroda","orcid":null},"institutions":[{"id":"https://openalex.org/I135768898","display_name":"Ritsumeikan University","ror":"https://ror.org/0197nmd03","country_code":"JP","type":"education","lineage":["https://openalex.org/I135768898","https://openalex.org/I4390039241"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Keiichiro Kuroda","raw_affiliation_strings":["Research Organization of Science and Engineering Ritsumeikan University,Shiga,Japan,528-8577"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Research Organization of Science and Engineering Ritsumeikan University,Shiga,Japan,528-8577","institution_ids":["https://openalex.org/I135768898"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5093577014","display_name":"Yudai Morikaku","orcid":null},"institutions":[{"id":"https://openalex.org/I135768898","display_name":"Ritsumeikan University","ror":"https://ror.org/0197nmd03","country_code":"JP","type":"education","lineage":["https://openalex.org/I135768898","https://openalex.org/I4390039241"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Yudai Morikaku","raw_affiliation_strings":["Research Organization of Science and Engineering Ritsumeikan University,Shiga,Japan,528-8577"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Research Organization of Science and Engineering Ritsumeikan University,Shiga,Japan,528-8577","institution_ids":["https://openalex.org/I135768898"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5093577015","display_name":"Yu Osuka","orcid":null},"institutions":[{"id":"https://openalex.org/I135768898","display_name":"Ritsumeikan University","ror":"https://ror.org/0197nmd03","country_code":"JP","type":"education","lineage":["https://openalex.org/I135768898","https://openalex.org/I4390039241"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Yu Osuka","raw_affiliation_strings":["Research Organization of Science and Engineering Ritsumeikan University,Shiga,Japan,528-8577"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Research Organization of Science and Engineering Ritsumeikan University,Shiga,Japan,528-8577","institution_ids":["https://openalex.org/I135768898"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5115513815","display_name":"Ryoya Iegaki","orcid":null},"institutions":[{"id":"https://openalex.org/I135768898","display_name":"Ritsumeikan University","ror":"https://ror.org/0197nmd03","country_code":"JP","type":"education","lineage":["https://openalex.org/I135768898","https://openalex.org/I4390039241"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Ryoya Iegaki","raw_affiliation_strings":["Research Organization of Science and Engineering Ritsumeikan University,Shiga,Japan,528-8577"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Research Organization of Science and Engineering Ritsumeikan University,Shiga,Japan,528-8577","institution_ids":["https://openalex.org/I135768898"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5063582139","display_name":"Kota Yoshida","orcid":"https://orcid.org/0000-0003-1293-6415"},"institutions":[{"id":"https://openalex.org/I135768898","display_name":"Ritsumeikan University","ror":"https://ror.org/0197nmd03","country_code":"JP","type":"education","lineage":["https://openalex.org/I135768898","https://openalex.org/I4390039241"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Kota Yoshida","raw_affiliation_strings":["Research Organization of Science and Engineering Ritsumeikan University,Shiga,Japan,528-8577"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Research Organization of Science and Engineering Ritsumeikan University,Shiga,Japan,528-8577","institution_ids":["https://openalex.org/I135768898"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5049285154","display_name":"Shunsuke Okura","orcid":"https://orcid.org/0000-0001-6422-3703"},"institutions":[{"id":"https://openalex.org/I135768898","display_name":"Ritsumeikan University","ror":"https://ror.org/0197nmd03","country_code":"JP","type":"education","lineage":["https://openalex.org/I135768898","https://openalex.org/I4390039241"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Shunsuke Okura","raw_affiliation_strings":["Research Organization of Science and Engineering Ritsumeikan University,Shiga,Japan,528-8577"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Research Organization of Science and Engineering Ritsumeikan University,Shiga,Japan,528-8577","institution_ids":["https://openalex.org/I135768898"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I135768898"],"apc_list":null,"apc_paid":null,"fwci":4.6355,"has_fulltext":false,"cited_by_count":5,"citation_normalized_percentile":{"value":0.96086854,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":97,"max":98},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"4"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11992","display_name":"CCD and CMOS Imaging Sensors","score":0.9990000128746033,"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":0.9990000128746033,"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/T13114","display_name":"Image Processing Techniques and Applications","score":0.989300012588501,"subfield":{"id":"https://openalex.org/subfields/2214","display_name":"Media Technology"},"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":0.9760000109672546,"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/feature-extraction","display_name":"Feature extraction","score":0.7075998783111572},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6663483381271362},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6629669666290283},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.5663092136383057},{"id":"https://openalex.org/keywords/image-sensor","display_name":"Image sensor","score":0.5424762964248657},{"id":"https://openalex.org/keywords/extraction","display_name":"Extraction (chemistry)","score":0.5330967307090759},{"id":"https://openalex.org/keywords/object-detection","display_name":"Object detection","score":0.530364990234375},{"id":"https://openalex.org/keywords/binary-number","display_name":"Binary number","score":0.5236546397209167},{"id":"https://openalex.org/keywords/cmos","display_name":"CMOS","score":0.52323979139328},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.516414225101471},{"id":"https://openalex.org/keywords/object","display_name":"Object (grammar)","score":0.4948696494102478},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.49418357014656067},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.4200059175491333},{"id":"https://openalex.org/keywords/binary-image","display_name":"Binary image","score":0.41343945264816284},{"id":"https://openalex.org/keywords/image-processing","display_name":"Image processing","score":0.273451566696167},{"id":"https://openalex.org/keywords/electronic-engineering","display_name":"Electronic engineering","score":0.14997774362564087},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.1281397044658661},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.08616963028907776}],"concepts":[{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.7075998783111572},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6663483381271362},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6629669666290283},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.5663092136383057},{"id":"https://openalex.org/C76935873","wikidata":"https://www.wikidata.org/wiki/Q209121","display_name":"Image sensor","level":2,"score":0.5424762964248657},{"id":"https://openalex.org/C4725764","wikidata":"https://www.wikidata.org/wiki/Q844704","display_name":"Extraction (chemistry)","level":2,"score":0.5330967307090759},{"id":"https://openalex.org/C2776151529","wikidata":"https://www.wikidata.org/wiki/Q3045304","display_name":"Object detection","level":3,"score":0.530364990234375},{"id":"https://openalex.org/C48372109","wikidata":"https://www.wikidata.org/wiki/Q3913","display_name":"Binary number","level":2,"score":0.5236546397209167},{"id":"https://openalex.org/C46362747","wikidata":"https://www.wikidata.org/wiki/Q173431","display_name":"CMOS","level":2,"score":0.52323979139328},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.516414225101471},{"id":"https://openalex.org/C2781238097","wikidata":"https://www.wikidata.org/wiki/Q175026","display_name":"Object (grammar)","level":2,"score":0.4948696494102478},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.49418357014656067},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.4200059175491333},{"id":"https://openalex.org/C193828747","wikidata":"https://www.wikidata.org/wiki/Q864118","display_name":"Binary image","level":4,"score":0.41343945264816284},{"id":"https://openalex.org/C9417928","wikidata":"https://www.wikidata.org/wiki/Q1070689","display_name":"Image processing","level":3,"score":0.273451566696167},{"id":"https://openalex.org/C24326235","wikidata":"https://www.wikidata.org/wiki/Q126095","display_name":"Electronic engineering","level":1,"score":0.14997774362564087},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.1281397044658661},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.08616963028907776},{"id":"https://openalex.org/C43617362","wikidata":"https://www.wikidata.org/wiki/Q170050","display_name":"Chromatography","level":1,"score":0.0},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0},{"id":"https://openalex.org/C94375191","wikidata":"https://www.wikidata.org/wiki/Q11205","display_name":"Arithmetic","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/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/sensors60989.2024.10784814","is_oa":false,"landing_page_url":"https://doi.org/10.1109/sensors60989.2024.10784814","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 IEEE SENSORS","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":7,"referenced_works":["https://openalex.org/W1861492603","https://openalex.org/W2974134299","https://openalex.org/W3015932348","https://openalex.org/W4386076325","https://openalex.org/W4390187965","https://openalex.org/W6902579297","https://openalex.org/W6959056007"],"related_works":["https://openalex.org/W3014521742","https://openalex.org/W2349576212","https://openalex.org/W1981776476","https://openalex.org/W2352535872","https://openalex.org/W1590693222","https://openalex.org/W2382967348","https://openalex.org/W2334823507","https://openalex.org/W2107073676","https://openalex.org/W2565551736","https://openalex.org/W2542675020"],"abstract_inverted_index":{"For":[0],"the":[1,26,53,56,64,75,79,90,105,121,132,144],"coming":[2],"IoT":[3],"age,":[4],"we":[5],"propose":[6],"an":[7,99],"object":[8,65],"detection":[9],"system":[10],"using":[11],"a":[12,33,135],"CMOS":[13,106],"image":[14,107,136],"sensor":[15,108],"capable":[16],"of":[17,29,58,68,123,134,140],"extracting":[18],"binary":[19,113],"feature":[20,40,80,114,125],"data":[21,41,81,126],"in":[22,55],"order":[23],"to":[24,52,89,111,143],"reduce":[25],"power":[27,84],"consumption":[28,85],"recognition":[30,66],"systems.":[31],"First,":[32],"lightweight":[34],"deep":[35],"neural":[36],"network":[37],"(DNN)":[38],"for":[39,78,104],"is":[42,50,109,127],"verified":[43],"based":[44],"on":[45],"YOLOv7.":[46],"The":[47,116],"presented":[48,76],"model":[49,77],"comparable":[51],"YOLOv7-tiny":[54],"number":[57],"parameters":[59],"and":[60],"FLOPs,":[61],"but":[62],"improves":[63],"accuracy":[67,138],"large":[69],"objects":[70],"APL50":[71],"by":[72,86,129],"6.6%.":[73],"Additionally,":[74],"reduces":[82],"GPU":[83],"39.2%":[87],"compared":[88,142],"original":[91],"YOLOv7":[92],"that":[93,120],"processes":[94],"RGB":[95,146],"color":[96,147],"images.":[97],"Secondly,":[98],"on-chip":[100],"signal":[101],"processing":[102],"technique":[103],"proposed":[110],"extract":[112],"data.":[115],"simulation":[117],"results":[118],"demonstrate":[119],"size":[122],"1-bit":[124,145],"reduced":[128],"96.0%":[130],"at":[131],"cost":[133],"classification":[137],"degradation":[139],"8.3%":[141],"image.":[148]},"counts_by_year":[{"year":2025,"cited_by_count":5}],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2025-10-10T00:00:00"}