{"id":"https://openalex.org/W4312095848","doi":"https://doi.org/10.1109/cisp-bmei56279.2022.9979877","title":"Small Object Detection for Intelligent Abnormal Event Detection in Power Distribution Networks","display_name":"Small Object Detection for Intelligent Abnormal Event Detection in Power Distribution Networks","publication_year":2022,"publication_date":"2022-11-05","ids":{"openalex":"https://openalex.org/W4312095848","doi":"https://doi.org/10.1109/cisp-bmei56279.2022.9979877"},"language":"en","primary_location":{"id":"doi:10.1109/cisp-bmei56279.2022.9979877","is_oa":false,"landing_page_url":"https://doi.org/10.1109/cisp-bmei56279.2022.9979877","pdf_url":null,"source":{"id":"https://openalex.org/S4363605502","display_name":"2022 15th International Congress on Image and Signal Processing, BioMedical Engineering and Informatics (CISP-BMEI)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2022 15th International Congress on Image and Signal Processing, BioMedical Engineering and Informatics (CISP-BMEI)","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/A5102456919","display_name":"Yize Tang","orcid":null},"institutions":[],"countries":[],"is_corresponding":true,"raw_author_name":"Yize Tang","raw_affiliation_strings":["Information &#x0026; Telecommunication Branch, State Grid Zhejiang Electric Power Co. Ltd.,Hangzhou,China"],"affiliations":[{"raw_affiliation_string":"Information &#x0026; Telecommunication Branch, State Grid Zhejiang Electric Power Co. Ltd.,Hangzhou,China","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100336524","display_name":"Zhang Yi","orcid":"https://orcid.org/0000-0002-2139-8551"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Yi Zhang","raw_affiliation_strings":["Information &#x0026; Telecommunication Branch, State Grid Zhejiang Electric Power Co. Ltd.,Hangzhou,China"],"affiliations":[{"raw_affiliation_string":"Information &#x0026; Telecommunication Branch, State Grid Zhejiang Electric Power Co. Ltd.,Hangzhou,China","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5102135767","display_name":"W. J. Kong","orcid":"https://orcid.org/0009-0004-3237-0177"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Wenjie Kong","raw_affiliation_strings":["Information &#x0026; Telecommunication Branch, State Grid Zhejiang Electric Power Co. Ltd.,Hangzhou,China"],"affiliations":[{"raw_affiliation_string":"Information &#x0026; Telecommunication Branch, State Grid Zhejiang Electric Power Co. Ltd.,Hangzhou,China","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5068021829","display_name":"Lanxin Qiu","orcid":"https://orcid.org/0000-0002-3379-018X"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Lanxin Qiu","raw_affiliation_strings":["Information &#x0026; Telecommunication Branch, State Grid Zhejiang Electric Power Co. Ltd.,Hangzhou,China"],"affiliations":[{"raw_affiliation_string":"Information &#x0026; Telecommunication Branch, State Grid Zhejiang Electric Power Co. Ltd.,Hangzhou,China","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5011859799","display_name":"Yuxiang Lv","orcid":null},"institutions":[{"id":"https://openalex.org/I4387152632","display_name":"Anhui Jiyuan Software","ror":"https://ror.org/05hn3g777","country_code":null,"type":"company","lineage":["https://openalex.org/I4387152632"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yuxiang Lv","raw_affiliation_strings":["Anhui Jiyuan Software Co. Ltd., State Grid Info. &#x0026; Telecom. Group Co. Ltd.,Hefei,China"],"affiliations":[{"raw_affiliation_string":"Anhui Jiyuan Software Co. Ltd., State Grid Info. &#x0026; Telecom. Group Co. Ltd.,Hefei,China","institution_ids":["https://openalex.org/I4387152632"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100620230","display_name":"Hao Wu","orcid":"https://orcid.org/0000-0002-8285-2113"},"institutions":[{"id":"https://openalex.org/I4387152632","display_name":"Anhui Jiyuan Software","ror":"https://ror.org/05hn3g777","country_code":null,"type":"company","lineage":["https://openalex.org/I4387152632"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Hao Wu","raw_affiliation_strings":["Anhui Jiyuan Software Co. Ltd., State Grid Info. &#x0026; Telecom. Group Co. Ltd.,Hefei,China"],"affiliations":[{"raw_affiliation_string":"Anhui Jiyuan Software Co. Ltd., State Grid Info. &#x0026; Telecom. Group Co. Ltd.,Hefei,China","institution_ids":["https://openalex.org/I4387152632"]}]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":6,"corresponding_author_ids":["https://openalex.org/A5102456919"],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.0602,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.30250962,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":91,"max":95},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"5"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10036","display_name":"Advanced Neural Network Applications","score":0.9977999925613403,"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"}},"topics":[{"id":"https://openalex.org/T10036","display_name":"Advanced Neural Network Applications","score":0.9977999925613403,"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"}},{"id":"https://openalex.org/T10331","display_name":"Video Surveillance and Tracking Methods","score":0.9934999942779541,"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"}},{"id":"https://openalex.org/T12597","display_name":"Fire Detection and Safety Systems","score":0.9922000169754028,"subfield":{"id":"https://openalex.org/subfields/2213","display_name":"Safety, Risk, Reliability and Quality"},"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/object-detection","display_name":"Object detection","score":0.8034796714782715},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7323883175849915},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.620702862739563},{"id":"https://openalex.org/keywords/object","display_name":"Object (grammar)","score":0.553484320640564},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.539211630821228},{"id":"https://openalex.org/keywords/event","display_name":"Event (particle physics)","score":0.5090079307556152},{"id":"https://openalex.org/keywords/key","display_name":"Key (lock)","score":0.49666696786880493},{"id":"https://openalex.org/keywords/field","display_name":"Field (mathematics)","score":0.4848145544528961},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.4789334237575531},{"id":"https://openalex.org/keywords/real-time-computing","display_name":"Real-time computing","score":0.43062499165534973},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.3056854009628296},{"id":"https://openalex.org/keywords/computer-security","display_name":"Computer security","score":0.11174163222312927}],"concepts":[{"id":"https://openalex.org/C2776151529","wikidata":"https://www.wikidata.org/wiki/Q3045304","display_name":"Object detection","level":3,"score":0.8034796714782715},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7323883175849915},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.620702862739563},{"id":"https://openalex.org/C2781238097","wikidata":"https://www.wikidata.org/wiki/Q175026","display_name":"Object (grammar)","level":2,"score":0.553484320640564},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.539211630821228},{"id":"https://openalex.org/C2779662365","wikidata":"https://www.wikidata.org/wiki/Q5416694","display_name":"Event (particle physics)","level":2,"score":0.5090079307556152},{"id":"https://openalex.org/C26517878","wikidata":"https://www.wikidata.org/wiki/Q228039","display_name":"Key (lock)","level":2,"score":0.49666696786880493},{"id":"https://openalex.org/C9652623","wikidata":"https://www.wikidata.org/wiki/Q190109","display_name":"Field (mathematics)","level":2,"score":0.4848145544528961},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.4789334237575531},{"id":"https://openalex.org/C79403827","wikidata":"https://www.wikidata.org/wiki/Q3988","display_name":"Real-time computing","level":1,"score":0.43062499165534973},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3056854009628296},{"id":"https://openalex.org/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","level":1,"score":0.11174163222312927},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0},{"id":"https://openalex.org/C202444582","wikidata":"https://www.wikidata.org/wiki/Q837863","display_name":"Pure mathematics","level":1,"score":0.0},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/cisp-bmei56279.2022.9979877","is_oa":false,"landing_page_url":"https://doi.org/10.1109/cisp-bmei56279.2022.9979877","pdf_url":null,"source":{"id":"https://openalex.org/S4363605502","display_name":"2022 15th International Congress on Image and Signal Processing, BioMedical Engineering and Informatics (CISP-BMEI)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2022 15th International Congress on Image and Signal Processing, BioMedical Engineering and Informatics (CISP-BMEI)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.8600000143051147,"id":"https://metadata.un.org/sdg/3","display_name":"Good health and well-being"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":11,"referenced_works":["https://openalex.org/W1536680647","https://openalex.org/W1861492603","https://openalex.org/W2102605133","https://openalex.org/W2193145675","https://openalex.org/W2884561390","https://openalex.org/W2903831537","https://openalex.org/W2963037989","https://openalex.org/W3018757597","https://openalex.org/W3106250896","https://openalex.org/W4293584584","https://openalex.org/W4299545679"],"related_works":["https://openalex.org/W2737719445","https://openalex.org/W4239098401","https://openalex.org/W2391251536","https://openalex.org/W2362198218","https://openalex.org/W2898210368","https://openalex.org/W1982750869","https://openalex.org/W2019521278","https://openalex.org/W1984922432","https://openalex.org/W4292830139","https://openalex.org/W4319309705"],"abstract_inverted_index":{"With":[0,138],"the":[1,8,18,28,36,56,115,145,147,167],"development":[2],"of":[3,31,38,49,78,141,166],"intelligent":[4,24,68],"object":[5,92,130,143],"detection":[6,93,131],"technology,":[7],"traditional":[9],"artificial":[10],"monitoring":[11,20,34,37],"system":[12,21],"has":[13],"been":[14],"gradually":[15],"replaced":[16],"by":[17],"automatic":[19],"based":[22],"on":[23,111],"video":[25,50],"analysis.":[26,51],"In":[27],"daily":[29],"operation":[30],"distribution":[32,70],"network":[33,71,104],"system,":[35],"abnormal":[39,65],"events":[40,66],"associated":[41],"with":[42],"patrol":[43],"inspectors":[44],"is":[45,83],"an":[46],"important":[47],"part":[48,122],"Safety":[52],"helmet":[53,79,135],"compliance":[54],"and":[55,80,136,155,159],"smoking":[57],"behavior":[58],"are":[59],"key":[60],"inspection":[61],"points":[62],"in":[63,67,144],"these":[64,87],"power":[69],"monitor":[72],"scenario.":[73],"Due":[74],"to":[75,85,106,133],"small":[76,88,108,142,152],"size":[77],"cigarette,":[81],"it":[82],"hard":[84],"detect":[86,107,134,151],"objects":[89,109,153],"under":[90],"standard":[91,129],"framework.":[94],"To":[95],"solve":[96],"this":[97],"problem,":[98],"we":[99,118,127],"designed":[100],"a":[101],"two-stage":[102],"neural":[103],"framework":[105,132,149],"attached":[110],"human":[112,120],"body.":[113],"At":[114],"first":[116],"stage,":[117],"extract":[119],"body":[121],"from":[123],"original":[124],"image.":[125],"Then,":[126],"use":[128],"cigarette.":[137],"increased":[139],"proportion":[140],"image,":[146],"proposed":[148,168],"can":[150],"accurately":[154],"effectively.":[156],"Experiment":[157],"results":[158],"field":[160],"test":[161],"both":[162],"demonstrated":[163],"its":[164],"effectiveness":[165],"algorithm.":[169]},"counts_by_year":[{"year":2025,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
