{"id":"https://openalex.org/W3093483113","doi":"https://doi.org/10.1109/cacre50138.2020.9229964","title":"An Approach on Visual Detecting Multi-Targets in the Unstructured and Complex Scenes Based on RGB-D Images","display_name":"An Approach on Visual Detecting Multi-Targets in the Unstructured and Complex Scenes Based on RGB-D Images","publication_year":2020,"publication_date":"2020-09-01","ids":{"openalex":"https://openalex.org/W3093483113","doi":"https://doi.org/10.1109/cacre50138.2020.9229964","mag":"3093483113"},"language":"en","primary_location":{"id":"doi:10.1109/cacre50138.2020.9229964","is_oa":false,"landing_page_url":"https://doi.org/10.1109/cacre50138.2020.9229964","pdf_url":null,"source":{"id":"https://openalex.org/S4306498616","display_name":"2020 5th International Conference on Automation, Control and Robotics Engineering (CACRE)","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":"2020 5th International Conference on Automation, Control and Robotics Engineering (CACRE)","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/A5016641861","display_name":"Qimeng Tan","orcid":"https://orcid.org/0000-0002-0648-3416"},"institutions":[{"id":"https://openalex.org/I194716290","display_name":"China Academy of Space Technology","ror":"https://ror.org/025397a59","country_code":"CN","type":"government","lineage":["https://openalex.org/I194716290","https://openalex.org/I2802615301"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Qimeng Tan","raw_affiliation_strings":["Beijing Key Laboratory of Intelligent Space Robotic Systems Technology and Applications, Beijing Institute of Spacecraft System Engineering, Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Beijing Key Laboratory of Intelligent Space Robotic Systems Technology and Applications, Beijing Institute of Spacecraft System Engineering, Beijing, China","institution_ids":["https://openalex.org/I194716290"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100297707","display_name":"Yikun Sun","orcid":null},"institutions":[{"id":"https://openalex.org/I4210144889","display_name":"Beijing Municipal Engineering Design and Research Institute (China)","ror":"https://ror.org/03x92hw77","country_code":"CN","type":"company","lineage":["https://openalex.org/I4210144889"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yikun Sun","raw_affiliation_strings":["Propellant Injection Laboratory, Beijing Special Engineering Design and Research Institute, Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Propellant Injection Laboratory, Beijing Special Engineering Design and Research Institute, Beijing, China","institution_ids":["https://openalex.org/I4210144889"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5103016361","display_name":"Pengfei Xin","orcid":"https://orcid.org/0000-0003-0933-4130"},"institutions":[{"id":"https://openalex.org/I194716290","display_name":"China Academy of Space Technology","ror":"https://ror.org/025397a59","country_code":"CN","type":"government","lineage":["https://openalex.org/I194716290","https://openalex.org/I2802615301"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Pengfei Xin","raw_affiliation_strings":["Beijing Key Laboratory of Intelligent Space Robotic Systems Technology and Applications, Beijing Institute of Spacecraft System Engineering, Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Beijing Key Laboratory of Intelligent Space Robotic Systems Technology and Applications, Beijing Institute of Spacecraft System Engineering, Beijing, China","institution_ids":["https://openalex.org/I194716290"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5103234012","display_name":"Yimin Lin","orcid":"https://orcid.org/0000-0001-8096-4819"},"institutions":[{"id":"https://openalex.org/I139759216","display_name":"Beijing University of Posts and Telecommunications","ror":"https://ror.org/04w9fbh59","country_code":"CN","type":"education","lineage":["https://openalex.org/I139759216"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yimin Lin","raw_affiliation_strings":["Institute of Optical Communication & Optoelectronics, Beijing University of Posts & Telecommunications, Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Institute of Optical Communication & Optoelectronics, Beijing University of Posts & Telecommunications, Beijing, China","institution_ids":["https://openalex.org/I139759216"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100704679","display_name":"Chao Ma","orcid":"https://orcid.org/0000-0002-8675-3737"},"institutions":[{"id":"https://openalex.org/I194716290","display_name":"China Academy of Space Technology","ror":"https://ror.org/025397a59","country_code":"CN","type":"government","lineage":["https://openalex.org/I194716290","https://openalex.org/I2802615301"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Chao Ma","raw_affiliation_strings":["Beijing Key Laboratory of Intelligent Space Robotic Systems Technology and Applications, Beijing Institute of Spacecraft System Engineering, Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Beijing Key Laboratory of Intelligent Space Robotic Systems Technology and Applications, Beijing Institute of Spacecraft System Engineering, Beijing, China","institution_ids":["https://openalex.org/I194716290"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100326162","display_name":"Xinyu Wang","orcid":"https://orcid.org/0009-0003-3655-1429"},"institutions":[{"id":"https://openalex.org/I78675632","display_name":"Beijing Information Science & Technology University","ror":"https://ror.org/04xnqep60","country_code":"CN","type":"education","lineage":["https://openalex.org/I78675632"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xinyu Wang","raw_affiliation_strings":["School of Instrument Science and Optoelectronic Engineering, Beijing Information Science and Technology University, Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Instrument Science and Optoelectronic Engineering, Beijing Information Science and Technology University, Beijing, China","institution_ids":["https://openalex.org/I78675632"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":6,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.11875,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"591","last_page":"596"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10627","display_name":"Advanced Image and Video Retrieval Techniques","score":0.9968000054359436,"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/T10627","display_name":"Advanced Image and Video Retrieval Techniques","score":0.9968000054359436,"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/T10191","display_name":"Robotics and Sensor-Based Localization","score":0.996399998664856,"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/T14257","display_name":"Advanced Measurement and Detection Methods","score":0.9915000200271606,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.8388962745666504},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7764846086502075},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.7458106279373169},{"id":"https://openalex.org/keywords/scale-invariant-feature-transform","display_name":"Scale-invariant feature transform","score":0.558571994304657},{"id":"https://openalex.org/keywords/rgb-color-model","display_name":"RGB color model","score":0.4749222695827484},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.47264331579208374},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.4638422131538391},{"id":"https://openalex.org/keywords/mobile-robot","display_name":"Mobile robot","score":0.4333497881889343},{"id":"https://openalex.org/keywords/feature-matching","display_name":"Feature matching","score":0.4305485486984253},{"id":"https://openalex.org/keywords/classifier","display_name":"Classifier (UML)","score":0.42646971344947815},{"id":"https://openalex.org/keywords/hough-transform","display_name":"Hough transform","score":0.4161219894886017},{"id":"https://openalex.org/keywords/robot","display_name":"Robot","score":0.32681167125701904},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.2032811939716339}],"concepts":[{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.8388962745666504},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7764846086502075},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.7458106279373169},{"id":"https://openalex.org/C61265191","wikidata":"https://www.wikidata.org/wiki/Q767770","display_name":"Scale-invariant feature transform","level":3,"score":0.558571994304657},{"id":"https://openalex.org/C82990744","wikidata":"https://www.wikidata.org/wiki/Q166194","display_name":"RGB color model","level":2,"score":0.4749222695827484},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.47264331579208374},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.4638422131538391},{"id":"https://openalex.org/C19966478","wikidata":"https://www.wikidata.org/wiki/Q4810574","display_name":"Mobile robot","level":3,"score":0.4333497881889343},{"id":"https://openalex.org/C2983787585","wikidata":"https://www.wikidata.org/wiki/Q93586","display_name":"Feature matching","level":3,"score":0.4305485486984253},{"id":"https://openalex.org/C95623464","wikidata":"https://www.wikidata.org/wiki/Q1096149","display_name":"Classifier (UML)","level":2,"score":0.42646971344947815},{"id":"https://openalex.org/C200518788","wikidata":"https://www.wikidata.org/wiki/Q195076","display_name":"Hough transform","level":3,"score":0.4161219894886017},{"id":"https://openalex.org/C90509273","wikidata":"https://www.wikidata.org/wiki/Q11012","display_name":"Robot","level":2,"score":0.32681167125701904},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.2032811939716339}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/cacre50138.2020.9229964","is_oa":false,"landing_page_url":"https://doi.org/10.1109/cacre50138.2020.9229964","pdf_url":null,"source":{"id":"https://openalex.org/S4306498616","display_name":"2020 5th International Conference on Automation, Control and Robotics Engineering (CACRE)","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":"2020 5th International Conference on Automation, Control and Robotics Engineering (CACRE)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Sustainable cities and communities","score":0.6899999976158142,"id":"https://metadata.un.org/sdg/11"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":15,"referenced_works":["https://openalex.org/W1571998429","https://openalex.org/W1573897183","https://openalex.org/W2032642207","https://openalex.org/W2034785770","https://openalex.org/W2074142320","https://openalex.org/W2085411191","https://openalex.org/W2097222246","https://openalex.org/W2098205880","https://openalex.org/W2098883970","https://openalex.org/W2101886560","https://openalex.org/W2156175024","https://openalex.org/W2156222070","https://openalex.org/W2161308290","https://openalex.org/W4253363118","https://openalex.org/W4254546655"],"related_works":["https://openalex.org/W2077501173","https://openalex.org/W2163812102","https://openalex.org/W1942234010","https://openalex.org/W4206457185","https://openalex.org/W2086830044","https://openalex.org/W2089698752","https://openalex.org/W4308703308","https://openalex.org/W1965745851","https://openalex.org/W2060133567","https://openalex.org/W2795227877"],"abstract_inverted_index":{"The":[0],"technology":[1],"of":[2,8,28,40,73,95,98,106,134,143,154],"detecting":[3,71],"and":[4,32,63,75,100,119,136,146,166],"identifying":[5],"multitarget":[6],"is":[7,54,82,93],"significance":[9],"for":[10,35],"robotic":[11],"visual":[12,70],"navigation":[13],"within":[14],"the":[15,89,128,132,141],"unknown,":[16],"unstructured,":[17],"complex":[18,76,150],"scenes,":[19],"whose":[20],"result":[21],"could":[22],"be":[23,44,152],"considered":[24],"as":[25,60],"important":[26],"references":[27],"3D":[29],"map":[30,113],"building":[31],"path":[33],"planning":[34],"mobile":[36],"robot.":[37],"Traditional":[38],"algorithms":[39],"target":[41],"detection":[42,147],"can":[43],"applied":[45],"to":[46,87],"2D":[47],"images":[48,81],"without":[49],"depth":[50],"information":[51],"generally,":[52],"which":[53,92],"disturbed":[55],"by":[56],"few":[57,158],"factors":[58,160],"such":[59],"illumination,":[61,164],"view":[62],"scale":[64,101],"easily.":[65],"Therefore,":[66],"an":[67],"approach":[68,130],"on":[69,79],"multi-target":[72],"unstructured":[74],"scenes":[77],"based":[78],"RGBD":[80],"proposed":[83,129],"in":[84,148],"this":[85],"article":[86],"solve":[88],"above":[90],"problem,":[91],"composed":[94],"extracting":[96,135],"descriptor":[97],"rotation":[99],"invariance":[102],"feature,":[103,139],"local":[104,120,138],"encoding":[105],"targets,":[107],"random":[108],"ferns":[109],"classifier":[110],"training,":[111],"Hough":[112,115],"generation,":[114],"voting":[116],"theoretical":[117],"model":[118],"maximum":[121],"search.":[122],"Experimental":[123],"results":[124],"have":[125],"shown":[126],"that":[127],"reduce":[131],"calculation":[133],"matching":[137],"improve":[140],"accuracy":[142],"object":[144],"recognition":[145],"unknown":[149],"environments,":[151],"capable":[153],"well":[155],"robust":[156],"against":[157],"disturbing":[159],"i.e.":[161],"rotation,":[162],"scale,":[163],"occlusion":[165],"non-rigid":[167],"body":[168],"deformation.":[169]},"counts_by_year":[],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}
