{"id":"https://openalex.org/W2793351177","doi":"https://doi.org/10.1145/3175603.3175620","title":"Small Object Detection Based on RVR","display_name":"Small Object Detection Based on RVR","publication_year":2017,"publication_date":"2017-12-29","ids":{"openalex":"https://openalex.org/W2793351177","doi":"https://doi.org/10.1145/3175603.3175620","mag":"2793351177"},"language":"en","primary_location":{"id":"doi:10.1145/3175603.3175620","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3175603.3175620","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2017 International Conference on Robotics and Artificial Intelligence","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/A5060328978","display_name":"Ruiming Liu","orcid":"https://orcid.org/0000-0001-6208-0059"},"institutions":[{"id":"https://openalex.org/I2801481043","display_name":"Jiangsu Ocean University","ror":"https://ror.org/031zps173","country_code":"CN","type":"education","lineage":["https://openalex.org/I2801481043"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Ruiming Liu","raw_affiliation_strings":["School of Electronic Engineering, Huaihai Institute of Technology, Lianyungang, P.R. China"],"affiliations":[{"raw_affiliation_string":"School of Electronic Engineering, Huaihai Institute of Technology, Lianyungang, P.R. China","institution_ids":["https://openalex.org/I2801481043"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100724297","display_name":"Yong Liu","orcid":"https://orcid.org/0000-0003-4822-8939"},"institutions":[{"id":"https://openalex.org/I2801481043","display_name":"Jiangsu Ocean University","ror":"https://ror.org/031zps173","country_code":"CN","type":"education","lineage":["https://openalex.org/I2801481043"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yong Liu","raw_affiliation_strings":["School of Mechanical Engineering, Huaihai Institute of Technology, Lianyungang, P.R. China"],"affiliations":[{"raw_affiliation_string":"School of Mechanical Engineering, Huaihai Institute of Technology, Lianyungang, P.R. China","institution_ids":["https://openalex.org/I2801481043"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100601282","display_name":"Jiawei Huang","orcid":"https://orcid.org/0000-0001-7670-2971"},"institutions":[{"id":"https://openalex.org/I2801481043","display_name":"Jiangsu Ocean University","ror":"https://ror.org/031zps173","country_code":"CN","type":"education","lineage":["https://openalex.org/I2801481043"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jiawei Huang","raw_affiliation_strings":["School of Mechanical Engineering, Huaihai Institute of Technology, Lianyungang, P.R. China"],"affiliations":[{"raw_affiliation_string":"School of Mechanical Engineering, Huaihai Institute of Technology, Lianyungang, P.R. China","institution_ids":["https://openalex.org/I2801481043"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5060328978"],"corresponding_institution_ids":["https://openalex.org/I2801481043"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.22559359,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"51","last_page":"55"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10331","display_name":"Video Surveillance and Tracking Methods","score":0.998199999332428,"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/T10331","display_name":"Video Surveillance and Tracking Methods","score":0.998199999332428,"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/T12389","display_name":"Infrared Target Detection Methodologies","score":0.9980999827384949,"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"}},{"id":"https://openalex.org/T10057","display_name":"Face and Expression Recognition","score":0.9904000163078308,"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/support-vector-machine","display_name":"Support vector machine","score":0.6913101077079773},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6736113429069519},{"id":"https://openalex.org/keywords/correlation-coefficient","display_name":"Correlation coefficient","score":0.6493280529975891},{"id":"https://openalex.org/keywords/clutter","display_name":"Clutter","score":0.6391467452049255},{"id":"https://openalex.org/keywords/kernel","display_name":"Kernel (algebra)","score":0.6329860687255859},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6119132041931152},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.5511997938156128},{"id":"https://openalex.org/keywords/object-detection","display_name":"Object detection","score":0.5027456283569336},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.4553970396518707},{"id":"https://openalex.org/keywords/filter","display_name":"Filter (signal processing)","score":0.43200233578681946},{"id":"https://openalex.org/keywords/regression","display_name":"Regression","score":0.42621129751205444},{"id":"https://openalex.org/keywords/process","display_name":"Process (computing)","score":0.4136779308319092},{"id":"https://openalex.org/keywords/nonlinear-system","display_name":"Nonlinear system","score":0.4124659299850464},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.3650529682636261},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.2923662066459656},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.2565075755119324},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.1402803361415863},{"id":"https://openalex.org/keywords/radar","display_name":"Radar","score":0.08567196130752563}],"concepts":[{"id":"https://openalex.org/C12267149","wikidata":"https://www.wikidata.org/wiki/Q282453","display_name":"Support vector machine","level":2,"score":0.6913101077079773},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6736113429069519},{"id":"https://openalex.org/C2780092901","wikidata":"https://www.wikidata.org/wiki/Q3433612","display_name":"Correlation coefficient","level":2,"score":0.6493280529975891},{"id":"https://openalex.org/C132094186","wikidata":"https://www.wikidata.org/wiki/Q641585","display_name":"Clutter","level":3,"score":0.6391467452049255},{"id":"https://openalex.org/C74193536","wikidata":"https://www.wikidata.org/wiki/Q574844","display_name":"Kernel (algebra)","level":2,"score":0.6329860687255859},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6119132041931152},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5511997938156128},{"id":"https://openalex.org/C2776151529","wikidata":"https://www.wikidata.org/wiki/Q3045304","display_name":"Object detection","level":3,"score":0.5027456283569336},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.4553970396518707},{"id":"https://openalex.org/C106131492","wikidata":"https://www.wikidata.org/wiki/Q3072260","display_name":"Filter (signal processing)","level":2,"score":0.43200233578681946},{"id":"https://openalex.org/C83546350","wikidata":"https://www.wikidata.org/wiki/Q1139051","display_name":"Regression","level":2,"score":0.42621129751205444},{"id":"https://openalex.org/C98045186","wikidata":"https://www.wikidata.org/wiki/Q205663","display_name":"Process (computing)","level":2,"score":0.4136779308319092},{"id":"https://openalex.org/C158622935","wikidata":"https://www.wikidata.org/wiki/Q660848","display_name":"Nonlinear system","level":2,"score":0.4124659299850464},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.3650529682636261},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.2923662066459656},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.2565075755119324},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.1402803361415863},{"id":"https://openalex.org/C554190296","wikidata":"https://www.wikidata.org/wiki/Q47528","display_name":"Radar","level":2,"score":0.08567196130752563},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0},{"id":"https://openalex.org/C114614502","wikidata":"https://www.wikidata.org/wiki/Q76592","display_name":"Combinatorics","level":1,"score":0.0},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"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/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3175603.3175620","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3175603.3175620","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2017 International Conference on Robotics and Artificial Intelligence","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":12,"referenced_works":["https://openalex.org/W1570069132","https://openalex.org/W1648445109","https://openalex.org/W1984550953","https://openalex.org/W1989733178","https://openalex.org/W2045352990","https://openalex.org/W2075517252","https://openalex.org/W2121060726","https://openalex.org/W2137512539","https://openalex.org/W2209115968","https://openalex.org/W2371633741","https://openalex.org/W2373438396","https://openalex.org/W4285719527"],"related_works":["https://openalex.org/W2130674020","https://openalex.org/W2093748878","https://openalex.org/W2333771223","https://openalex.org/W2120056845","https://openalex.org/W1981531423","https://openalex.org/W4394861761","https://openalex.org/W1977371217","https://openalex.org/W2035264131","https://openalex.org/W1679012645","https://openalex.org/W1925461966"],"abstract_inverted_index":{"In":[0,28],"the":[1,38,47,54,67,75,81,85,94,106,112],"visual":[2],"robotics":[3],"area,":[4],"we":[5],"should":[6],"dope":[7],"out":[8],"a":[9,31],"solution":[10],"to":[11,17,24,46,73],"detect":[12],"small":[13,32],"objects.":[14],"We":[15],"need":[16],"explore":[18],"much":[19],"more":[20],"precise":[21],"detection":[22,34,82],"methods":[23,115],"achieve":[25],"better":[26,109],"performance.":[27],"this":[29],"paper,":[30],"object":[33],"method":[35,87,104],"based":[36,116],"on":[37,117],"Relevance":[39],"Vector":[40,49],"Regression":[41,50],"(RVR)":[42],"is":[43,71,88],"proposed.":[44],"Compared":[45],"Support":[48],"(SVR),":[51],"it":[52],"avoids":[53],"set":[55],"of":[56],"free":[57],"parameters":[58],"and":[59,92,108],"Mercer":[60],"kernels.":[61],"After":[62],"regression":[63],"process":[64],"by":[65],"RVR,":[66],"kernel":[68],"correlation":[69,96],"coefficient":[70],"used":[72],"increase":[74],"signal-to-clutter":[76],"ratio":[77],"(SCR).":[78],"For":[79],"improving":[80],"performance":[83,110],"further,":[84],"post-processing":[86],"applied":[89],"after":[90],"RVR":[91],"getting":[93],"nonlinear":[95],"coefficient.":[97],"The":[98],"experiment":[99],"results":[100],"prove":[101],"that":[102],"our":[103],"has":[105],"validity":[107],"than":[111],"other":[113],"two":[114],"filter-based":[118],"methods.":[119]},"counts_by_year":[],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}