{"id":"https://openalex.org/W4385948706","doi":"https://doi.org/10.1117/1.jei.32.4.043030","title":"Spatiotemporal fusion target detection and location based on depth optical flow and YOLOv3","display_name":"Spatiotemporal fusion target detection and location based on depth optical flow and YOLOv3","publication_year":2023,"publication_date":"2023-08-17","ids":{"openalex":"https://openalex.org/W4385948706","doi":"https://doi.org/10.1117/1.jei.32.4.043030"},"language":"en","primary_location":{"id":"doi:10.1117/1.jei.32.4.043030","is_oa":false,"landing_page_url":"https://doi.org/10.1117/1.jei.32.4.043030","pdf_url":null,"source":{"id":"https://openalex.org/S158511090","display_name":"Journal of Electronic Imaging","issn_l":"1017-9909","issn":["1017-9909","1560-229X"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310315543","host_organization_name":"SPIE","host_organization_lineage":["https://openalex.org/P4310315543"],"host_organization_lineage_names":["SPIE"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Journal of Electronic Imaging","raw_type":"journal-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/A5100444003","display_name":"Dan Chen","orcid":"https://orcid.org/0000-0002-7055-141X"},"institutions":[{"id":"https://openalex.org/I4210131919","display_name":"Xi'an University of Technology","ror":"https://ror.org/038avdt50","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210131919"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Dan Chen","raw_affiliation_strings":["Xi\u2019an University of Technology, School of Automation and Information Engineering, Shaanxi, China"],"affiliations":[{"raw_affiliation_string":"Xi\u2019an University of Technology, School of Automation and Information Engineering, Shaanxi, China","institution_ids":["https://openalex.org/I4210131919"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100373145","display_name":"Heng Zhang","orcid":"https://orcid.org/0000-0002-9003-9624"},"institutions":[{"id":"https://openalex.org/I4210131919","display_name":"Xi'an University of Technology","ror":"https://ror.org/038avdt50","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210131919"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Heng Zhang","raw_affiliation_strings":["Xi\u2019an University of Technology, School of Automation and Information Engineering, Shaanxi, China"],"affiliations":[{"raw_affiliation_string":"Xi\u2019an University of Technology, School of Automation and Information Engineering, Shaanxi, China","institution_ids":["https://openalex.org/I4210131919"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5061603155","display_name":"Le Liu","orcid":"https://orcid.org/0000-0001-6344-3528"},"institutions":[{"id":"https://openalex.org/I4210131919","display_name":"Xi'an University of Technology","ror":"https://ror.org/038avdt50","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210131919"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Le Liu","raw_affiliation_strings":["Xi\u2019an University of Technology, School of Automation and Information Engineering, Shaanxi, China"],"affiliations":[{"raw_affiliation_string":"Xi\u2019an University of Technology, School of Automation and Information Engineering, Shaanxi, China","institution_ids":["https://openalex.org/I4210131919"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100513698","display_name":"Linhai Tang","orcid":null},"institutions":[{"id":"https://openalex.org/I4210131919","display_name":"Xi'an University of Technology","ror":"https://ror.org/038avdt50","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210131919"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Linhai Tang","raw_affiliation_strings":["Xi\u2019an University of Technology, School of Automation and Information Engineering, Shaanxi, China"],"affiliations":[{"raw_affiliation_string":"Xi\u2019an University of Technology, School of Automation and Information Engineering, Shaanxi, China","institution_ids":["https://openalex.org/I4210131919"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100353597","display_name":"Hao Chen","orcid":"https://orcid.org/0000-0002-8470-5467"},"institutions":[{"id":"https://openalex.org/I4210131919","display_name":"Xi'an University of Technology","ror":"https://ror.org/038avdt50","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210131919"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Hao Chen","raw_affiliation_strings":["Xi\u2019an University of Technology, School of Automation and Information Engineering, Shaanxi, China"],"affiliations":[{"raw_affiliation_string":"Xi\u2019an University of Technology, School of Automation and Information Engineering, Shaanxi, China","institution_ids":["https://openalex.org/I4210131919"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5100444003"],"corresponding_institution_ids":["https://openalex.org/I4210131919"],"apc_list":null,"apc_paid":null,"fwci":0.4147,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.66792322,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":95,"max":96},"biblio":{"volume":"32","issue":"04","first_page":null,"last_page":null},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11227","display_name":"Diabetic Foot Ulcer Assessment and Management","score":0.9879999756813049,"subfield":{"id":"https://openalex.org/subfields/2712","display_name":"Endocrinology, Diabetes and Metabolism"},"field":{"id":"https://openalex.org/fields/27","display_name":"Medicine"},"domain":{"id":"https://openalex.org/domains/4","display_name":"Health Sciences"}},"topics":[{"id":"https://openalex.org/T11227","display_name":"Diabetic Foot Ulcer Assessment and Management","score":0.9879999756813049,"subfield":{"id":"https://openalex.org/subfields/2712","display_name":"Endocrinology, Diabetes and Metabolism"},"field":{"id":"https://openalex.org/fields/27","display_name":"Medicine"},"domain":{"id":"https://openalex.org/domains/4","display_name":"Health Sciences"}},{"id":"https://openalex.org/T12994","display_name":"Infrared Thermography in Medicine","score":0.9538999795913696,"subfield":{"id":"https://openalex.org/subfields/2741","display_name":"Radiology, Nuclear Medicine and Imaging"},"field":{"id":"https://openalex.org/fields/27","display_name":"Medicine"},"domain":{"id":"https://openalex.org/domains/4","display_name":"Health Sciences"}},{"id":"https://openalex.org/T12153","display_name":"Advanced Optical Sensing Technologies","score":0.9235000014305115,"subfield":{"id":"https://openalex.org/subfields/3105","display_name":"Instrumentation"},"field":{"id":"https://openalex.org/fields/31","display_name":"Physics and Astronomy"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.824033260345459},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.7995643019676208},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7358806133270264},{"id":"https://openalex.org/keywords/optical-flow","display_name":"Optical flow","score":0.5294123888015747},{"id":"https://openalex.org/keywords/tracking","display_name":"Tracking (education)","score":0.47251424193382263},{"id":"https://openalex.org/keywords/robot","display_name":"Robot","score":0.4362662136554718},{"id":"https://openalex.org/keywords/foot","display_name":"Foot (prosody)","score":0.4262462556362152},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.2461186945438385}],"concepts":[{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.824033260345459},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.7995643019676208},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7358806133270264},{"id":"https://openalex.org/C155542232","wikidata":"https://www.wikidata.org/wiki/Q736111","display_name":"Optical flow","level":3,"score":0.5294123888015747},{"id":"https://openalex.org/C2775936607","wikidata":"https://www.wikidata.org/wiki/Q466845","display_name":"Tracking (education)","level":2,"score":0.47251424193382263},{"id":"https://openalex.org/C90509273","wikidata":"https://www.wikidata.org/wiki/Q11012","display_name":"Robot","level":2,"score":0.4362662136554718},{"id":"https://openalex.org/C115076146","wikidata":"https://www.wikidata.org/wiki/Q1651051","display_name":"Foot (prosody)","level":2,"score":0.4262462556362152},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.2461186945438385},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.0},{"id":"https://openalex.org/C19417346","wikidata":"https://www.wikidata.org/wiki/Q7922","display_name":"Pedagogy","level":1,"score":0.0},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1117/1.jei.32.4.043030","is_oa":false,"landing_page_url":"https://doi.org/10.1117/1.jei.32.4.043030","pdf_url":null,"source":{"id":"https://openalex.org/S158511090","display_name":"Journal of Electronic Imaging","issn_l":"1017-9909","issn":["1017-9909","1560-229X"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310315543","host_organization_name":"SPIE","host_organization_lineage":["https://openalex.org/P4310315543"],"host_organization_lineage_names":["SPIE"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Journal of Electronic Imaging","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":["https://openalex.org/W1593608146","https://openalex.org/W2118728139","https://openalex.org/W3082611418","https://openalex.org/W2565579042","https://openalex.org/W2121966738","https://openalex.org/W4238796277","https://openalex.org/W2982970440","https://openalex.org/W2158788032","https://openalex.org/W1501270482","https://openalex.org/W2168286373"],"abstract_inverted_index":{"The":[0,53,140],"accurate":[1],"detection":[2,134,146,207],"and":[3,36,46,68,84,100,135,162,165,205,208],"location":[4,136],"of":[5,23,59,72,103,122,126,137,148,158,213],"a":[6,15,159],"human":[7,24,61,74,123,160,214],"foot":[8,48,62,75,89,105,117,138,163,206],"moving":[9,25,49],"target":[10,63,76,106,118,145],"is":[11,51,112,153,186,199],"the":[12,56,60,65,69,73,78,82,94,98,104,109,116,133,144,149,156,168,176,179,192,196,202,211],"prerequisite":[13],"for":[14,88],"small":[16],"robot":[17,193],"to":[18,93,114,131,201],"realize":[19,115],"short-range":[20],"robust":[21],"tracking":[22],"targets.":[26,139],"An":[27],"F-YOLOv3":[28,150,185,197],"(FlowNet2-YOLOv3)":[29],"algorithm":[30,54,152,198],"based":[31],"on":[32],"deep":[33],"optical":[34],"flow":[35],"neural":[37],"network":[38],"spatiotemporal":[39],"information":[40,58,71,102],"fusion":[41,96,151],"that":[42,143],"can":[43],"accurately":[44],"detect":[45],"locate":[47],"targets":[50],"proposed.":[52],"extracts":[55],"motion":[57],"in":[64,77,155,167,210],"time":[66],"domain":[67,80],"position":[70],"space":[79],"through":[81],"FlowNet2":[83],"YOLOv3":[85,177],"networks,":[86],"respectively,":[87],"detection.":[90],"Then,":[91],"according":[92],"established":[95],"strategy,":[97],"temporal":[99],"spatial":[101],"extracted":[107],"by":[108,184,188],"two":[110],"networks":[111],"fused":[113],"location.":[119],"Five":[120],"groups":[121],"walking":[124,215],"videos":[125],"typical":[127],"scenes":[128],"are":[129,216],"used":[130],"simulate":[132],"results":[141],"show":[142],"precision":[147],"85%":[154],"scene":[157,169],"turning":[161],"occlusion":[164],"90%":[166],"with":[170,175],"drastic":[171],"illumination":[172],"change.":[173],"Compared":[174],"algorithm,":[178],"average":[180],"mAP":[181],"value":[182],"obtained":[183],"increased":[187],"3.89%.":[189],"Finally,":[190],"under":[191],"operating":[194],"system,":[195],"applied":[200],"turtlebot":[203],"robot,":[204],"positioning":[209],"process":[212],"successfully":[217],"completed.":[218]},"counts_by_year":[{"year":2025,"cited_by_count":2}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
