{"id":"https://openalex.org/W2904671383","doi":"https://doi.org/10.1109/gcce.2018.8574660","title":"Anomaly detection using local regions in road images acquired from a hand-held camera","display_name":"Anomaly detection using local regions in road images acquired from a hand-held camera","publication_year":2018,"publication_date":"2018-10-01","ids":{"openalex":"https://openalex.org/W2904671383","doi":"https://doi.org/10.1109/gcce.2018.8574660","mag":"2904671383"},"language":"en","primary_location":{"id":"doi:10.1109/gcce.2018.8574660","is_oa":false,"landing_page_url":"https://doi.org/10.1109/gcce.2018.8574660","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2018 IEEE 7th Global Conference on Consumer Electronics (GCCE)","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/A5114376400","display_name":"T. Kamitani","orcid":"https://orcid.org/0000-0002-0247-0060"},"institutions":[{"id":"https://openalex.org/I4588055","display_name":"Tottori University","ror":"https://ror.org/024yc3q36","country_code":"JP","type":"education","lineage":["https://openalex.org/I4588055"]}],"countries":["JP"],"is_corresponding":true,"raw_author_name":"Takuya Kamitani","raw_affiliation_strings":["Graduate School of Engineering, Tottori University, Japan"],"affiliations":[{"raw_affiliation_string":"Graduate School of Engineering, Tottori University, Japan","institution_ids":["https://openalex.org/I4588055"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5112403788","display_name":"Syoji Fujimoto","orcid":null},"institutions":[{"id":"https://openalex.org/I4588055","display_name":"Tottori University","ror":"https://ror.org/024yc3q36","country_code":"JP","type":"education","lineage":["https://openalex.org/I4588055"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Syoji Fujimoto","raw_affiliation_strings":["Graduate School of Engineering, Tottori University, Japan"],"affiliations":[{"raw_affiliation_string":"Graduate School of Engineering, Tottori University, Japan","institution_ids":["https://openalex.org/I4588055"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5102257024","display_name":"Hiroki Yoshimura","orcid":null},"institutions":[{"id":"https://openalex.org/I4588055","display_name":"Tottori University","ror":"https://ror.org/024yc3q36","country_code":"JP","type":"education","lineage":["https://openalex.org/I4588055"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Hiroki Yoshimura","raw_affiliation_strings":["Cross-informatics Research Center, Tottori University, Japan"],"affiliations":[{"raw_affiliation_string":"Cross-informatics Research Center, Tottori University, Japan","institution_ids":["https://openalex.org/I4588055"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5054129619","display_name":"Masashi Nishiyama","orcid":"https://orcid.org/0000-0002-5964-3209"},"institutions":[{"id":"https://openalex.org/I4588055","display_name":"Tottori University","ror":"https://ror.org/024yc3q36","country_code":"JP","type":"education","lineage":["https://openalex.org/I4588055"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Masashi Nishiyama","raw_affiliation_strings":["Cross-informatics Research Center, Tottori University, Japan"],"affiliations":[{"raw_affiliation_string":"Cross-informatics Research Center, Tottori University, Japan","institution_ids":["https://openalex.org/I4588055"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5059654927","display_name":"Yoshio Iwai","orcid":"https://orcid.org/0000-0003-2248-4563"},"institutions":[{"id":"https://openalex.org/I4588055","display_name":"Tottori University","ror":"https://ror.org/024yc3q36","country_code":"JP","type":"education","lineage":["https://openalex.org/I4588055"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Yoshio Iwai","raw_affiliation_strings":["Cross-informatics Research Center, Tottori University, Japan"],"affiliations":[{"raw_affiliation_string":"Cross-informatics Research Center, Tottori University, Japan","institution_ids":["https://openalex.org/I4588055"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5114376400"],"corresponding_institution_ids":["https://openalex.org/I4588055"],"apc_list":null,"apc_paid":null,"fwci":0.3258,"has_fulltext":false,"cited_by_count":3,"citation_normalized_percentile":{"value":0.68958006,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":94},"biblio":{"volume":null,"issue":null,"first_page":"375","last_page":"378"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11512","display_name":"Anomaly Detection Techniques and Applications","score":0.9987000226974487,"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/T11512","display_name":"Anomaly Detection Techniques and Applications","score":0.9987000226974487,"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/T11606","display_name":"Infrastructure Maintenance and Monitoring","score":0.9987000226974487,"subfield":{"id":"https://openalex.org/subfields/2205","display_name":"Civil and Structural 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/T10036","display_name":"Advanced Neural Network Applications","score":0.9952999949455261,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6958836317062378},{"id":"https://openalex.org/keywords/detector","display_name":"Detector","score":0.6928007006645203},{"id":"https://openalex.org/keywords/anomaly-detection","display_name":"Anomaly detection","score":0.6374979019165039},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6338133811950684},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.6223398447036743},{"id":"https://openalex.org/keywords/anomaly","display_name":"Anomaly (physics)","score":0.605785608291626},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.3528737723827362},{"id":"https://openalex.org/keywords/telecommunications","display_name":"Telecommunications","score":0.07269373536109924},{"id":"https://openalex.org/keywords/physics","display_name":"Physics","score":0.06941956281661987}],"concepts":[{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6958836317062378},{"id":"https://openalex.org/C94915269","wikidata":"https://www.wikidata.org/wiki/Q1834857","display_name":"Detector","level":2,"score":0.6928007006645203},{"id":"https://openalex.org/C739882","wikidata":"https://www.wikidata.org/wiki/Q3560506","display_name":"Anomaly detection","level":2,"score":0.6374979019165039},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6338133811950684},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.6223398447036743},{"id":"https://openalex.org/C12997251","wikidata":"https://www.wikidata.org/wiki/Q567560","display_name":"Anomaly (physics)","level":2,"score":0.605785608291626},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3528737723827362},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.07269373536109924},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.06941956281661987},{"id":"https://openalex.org/C26873012","wikidata":"https://www.wikidata.org/wiki/Q214781","display_name":"Condensed matter physics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/gcce.2018.8574660","is_oa":false,"landing_page_url":"https://doi.org/10.1109/gcce.2018.8574660","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2018 IEEE 7th Global Conference on Consumer Electronics (GCCE)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Sustainable cities and communities","id":"https://metadata.un.org/sdg/11","score":0.5899999737739563}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":20,"referenced_works":["https://openalex.org/W33116912","https://openalex.org/W639708223","https://openalex.org/W2019496031","https://openalex.org/W2088049833","https://openalex.org/W2103394661","https://openalex.org/W2167222293","https://openalex.org/W2171896402","https://openalex.org/W2172941934","https://openalex.org/W2413473068","https://openalex.org/W2523358814","https://openalex.org/W2560550165","https://openalex.org/W2570343428","https://openalex.org/W2758574519","https://openalex.org/W2787765665","https://openalex.org/W2963881378","https://openalex.org/W3106250896","https://openalex.org/W6601344910","https://openalex.org/W6731892127","https://openalex.org/W6748134320","https://openalex.org/W6785652829"],"related_works":["https://openalex.org/W2806741695","https://openalex.org/W4290647774","https://openalex.org/W3189286258","https://openalex.org/W3207797160","https://openalex.org/W3210364259","https://openalex.org/W4300558037","https://openalex.org/W2912112202","https://openalex.org/W2667207928","https://openalex.org/W4377864969","https://openalex.org/W2972971679"],"abstract_inverted_index":{"We":[0,46],"investigate":[1],"a":[2,17,60,87],"method":[3],"to":[4,41],"accurately":[5],"detect":[6],"road":[7,28,52,88],"images":[8,29,65,81],"with":[9,30],"anomalies":[10,32],"using":[11,55],"the":[12,73,92],"local":[13,56,76,93],"regions":[14,57,77],"generated":[15],"from":[16],"small":[18,61],"number":[19],"of":[20,27,63,75,79,95],"reference":[21,64],"images.":[22],"There":[23],"are":[24,38],"few":[25],"datasets":[26],"labeled":[31],"acquired":[33],"by":[34,91],"hand-held":[35],"cameras":[36],"that":[37,72],"large":[39],"enough":[40],"train":[42],"an":[43,50],"accurate":[44],"detector.":[45],"hence":[47],"evaluated":[48],"whether":[49],"anomaly":[51],"image":[53],"detector":[54],"trained":[58],"on":[59,86],"dataset":[62,89],"can":[66],"increase":[67],"performance.":[68],"Experimental":[69],"results":[70],"show":[71],"use":[74],"instead":[78],"whole":[80],"significantly":[82],"improves":[83],"detection":[84],"performance":[85],"collected":[90],"government":[94],"Tottori":[96],"prefecture.":[97]},"counts_by_year":[{"year":2023,"cited_by_count":1},{"year":2021,"cited_by_count":1},{"year":2020,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}