{"id":"https://openalex.org/W2914522934","doi":"https://doi.org/10.1145/3302425.3302463","title":"Target Detection Technology Based on Object Model Optimization Neural Network Learning","display_name":"Target Detection Technology Based on Object Model Optimization Neural Network Learning","publication_year":2018,"publication_date":"2018-12-21","ids":{"openalex":"https://openalex.org/W2914522934","doi":"https://doi.org/10.1145/3302425.3302463","mag":"2914522934"},"language":"en","primary_location":{"id":"doi:10.1145/3302425.3302463","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3302425.3302463","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2018 International Conference on Algorithms, Computing and Artificial Intelligence","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/A5109416022","display_name":"De Jin Tang","orcid":null},"institutions":[{"id":"https://openalex.org/I4210141849","display_name":"National Administration of Surveying, Mapping and Geoinformation of China","ror":"https://ror.org/04z3map19","country_code":"CN","type":"government","lineage":["https://openalex.org/I4210141849"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"De Jin Tang","raw_affiliation_strings":["National Geomatics Center of China, Beijing China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"National Geomatics Center of China, Beijing China","institution_ids":["https://openalex.org/I4210141849"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5113692732","display_name":"Xiao Ming Zhou","orcid":null},"institutions":[{"id":"https://openalex.org/I4210166112","display_name":"State Key Laboratory of Remote Sensing Science","ror":"https://ror.org/05wzjqa24","country_code":"CN","type":"facility","lineage":["https://openalex.org/I4210166112"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xiao Ming Zhou","raw_affiliation_strings":["Beijing Institute of Remote Sensing Information, Beijing China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Beijing Institute of Remote Sensing Information, Beijing China","institution_ids":["https://openalex.org/I4210166112"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5031611791","display_name":"Cai Ping Li","orcid":null},"institutions":[{"id":"https://openalex.org/I4210166112","display_name":"State Key Laboratory of Remote Sensing Science","ror":"https://ror.org/05wzjqa24","country_code":"CN","type":"facility","lineage":["https://openalex.org/I4210166112"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Cai Ping Li","raw_affiliation_strings":["Beijing Institute of Remote Sensing Information, Beijing China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Beijing Institute of Remote Sensing Information, Beijing China","institution_ids":["https://openalex.org/I4210166112"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.0761,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.43512945,"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":"1","last_page":"5"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10444","display_name":"Context-Aware Activity Recognition Systems","score":0.9937999844551086,"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/T10444","display_name":"Context-Aware Activity Recognition Systems","score":0.9937999844551086,"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/T13382","display_name":"Robotics and Automated Systems","score":0.9886000156402588,"subfield":{"id":"https://openalex.org/subfields/2207","display_name":"Control and Systems 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/T11398","display_name":"Hand Gesture Recognition Systems","score":0.9782000184059143,"subfield":{"id":"https://openalex.org/subfields/1709","display_name":"Human-Computer Interaction"},"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/computer-science","display_name":"Computer science","score":0.770376443862915},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.7656075954437256},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.6954091191291809},{"id":"https://openalex.org/keywords/sliding-window-protocol","display_name":"Sliding window protocol","score":0.6853408217430115},{"id":"https://openalex.org/keywords/object-detection","display_name":"Object detection","score":0.6829463839530945},{"id":"https://openalex.org/keywords/frame","display_name":"Frame (networking)","score":0.575440526008606},{"id":"https://openalex.org/keywords/position","display_name":"Position (finance)","score":0.5249367356300354},{"id":"https://openalex.org/keywords/transformation","display_name":"Transformation (genetics)","score":0.49380454421043396},{"id":"https://openalex.org/keywords/window","display_name":"Window (computing)","score":0.4908240735530853},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.4445200264453888},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.43104758858680725}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.770376443862915},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7656075954437256},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.6954091191291809},{"id":"https://openalex.org/C102392041","wikidata":"https://www.wikidata.org/wiki/Q592860","display_name":"Sliding window protocol","level":3,"score":0.6853408217430115},{"id":"https://openalex.org/C2776151529","wikidata":"https://www.wikidata.org/wiki/Q3045304","display_name":"Object detection","level":3,"score":0.6829463839530945},{"id":"https://openalex.org/C126042441","wikidata":"https://www.wikidata.org/wiki/Q1324888","display_name":"Frame (networking)","level":2,"score":0.575440526008606},{"id":"https://openalex.org/C198082294","wikidata":"https://www.wikidata.org/wiki/Q3399648","display_name":"Position (finance)","level":2,"score":0.5249367356300354},{"id":"https://openalex.org/C204241405","wikidata":"https://www.wikidata.org/wiki/Q461499","display_name":"Transformation (genetics)","level":3,"score":0.49380454421043396},{"id":"https://openalex.org/C2778751112","wikidata":"https://www.wikidata.org/wiki/Q835016","display_name":"Window (computing)","level":2,"score":0.4908240735530853},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.4445200264453888},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.43104758858680725},{"id":"https://openalex.org/C10138342","wikidata":"https://www.wikidata.org/wiki/Q43015","display_name":"Finance","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/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.0},{"id":"https://openalex.org/C55493867","wikidata":"https://www.wikidata.org/wiki/Q7094","display_name":"Biochemistry","level":1,"score":0.0},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.0},{"id":"https://openalex.org/C104317684","wikidata":"https://www.wikidata.org/wiki/Q7187","display_name":"Gene","level":2,"score":0.0},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3302425.3302463","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3302425.3302463","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2018 International Conference on Algorithms, Computing and Artificial Intelligence","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.6700000166893005,"id":"https://metadata.un.org/sdg/16","display_name":"Peace, Justice and strong institutions"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":1,"referenced_works":["https://openalex.org/W2902134262"],"related_works":["https://openalex.org/W2922421953","https://openalex.org/W3002270006","https://openalex.org/W2360764675","https://openalex.org/W2782964878","https://openalex.org/W43236265","https://openalex.org/W2783980107","https://openalex.org/W2909609266","https://openalex.org/W3157384330","https://openalex.org/W1967456564","https://openalex.org/W1583524169"],"abstract_inverted_index":{"Remote":[0],"sensing":[1],"images":[2,120],"often":[3],"contain":[4],"large":[5,9,17,127],"ground":[6],"range.":[7],"A":[8],"number":[10,128],"of":[11,36,62,72,81,93,117,129],"targets,":[12],"irregular":[13],"distribution":[14],"rules":[15],"and":[16,31,60,115,131],"scale":[18],"transformation":[19],"are":[20],"included":[21],"in":[22,48,96,107,125],"an":[23],"image,":[24],"so":[25],"the":[26,46,49,56,63,69,73,79,82,91,97,100,108,118],"target":[27,42,47,74,83],"detection":[28,43],"is":[29,99],"difficult":[30],"it":[32,103],"takes":[33],"a":[34,111,126],"lot":[35],"time":[37,70],"to":[38],"calculate.":[39],"The":[40,85],"traditional":[41],"can":[44],"locate":[45],"image":[50,98,109],"by":[51],"multi-scale":[52],"sliding":[53,86],"window,":[54,114],"but":[55,76],"selection":[57],"speed,":[58],"quantity":[59],"quality":[61,133],"candidate":[64,112],"frame":[65,113],"not":[66],"only":[67],"affect":[68,78],"efficiency":[71],"detection,":[75],"also":[77],"accuracy":[80],"detection.":[84],"window":[87],"method":[88],"thinks":[89],"that":[90],"possibility":[92],"each":[94],"position":[95,106],"same.":[101],"Therefore,":[102],"traverses":[104],"every":[105],"into":[110],"exhaustion":[116],"search":[119],"with":[121],"violent":[122],"exhaustion,":[123],"resulting":[124],"redundant":[130,134],"low":[132],"windows.":[135]},"counts_by_year":[{"year":2022,"cited_by_count":1},{"year":2020,"cited_by_count":1}],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2025-10-10T00:00:00"}