{"id":"https://openalex.org/W4200533001","doi":"https://doi.org/10.1109/iccais52680.2021.9624658","title":"A closed-loop FDSST algorithm based on SVM","display_name":"A closed-loop FDSST algorithm based on SVM","publication_year":2021,"publication_date":"2021-10-14","ids":{"openalex":"https://openalex.org/W4200533001","doi":"https://doi.org/10.1109/iccais52680.2021.9624658"},"language":"en","primary_location":{"id":"doi:10.1109/iccais52680.2021.9624658","is_oa":false,"landing_page_url":"https://doi.org/10.1109/iccais52680.2021.9624658","pdf_url":null,"source":{"id":"https://openalex.org/S4363608071","display_name":"2021 International Conference on Control, Automation and Information Sciences (ICCAIS)","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":"2021 International Conference on Control, Automation and Information Sciences (ICCAIS)","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/A5070249253","display_name":"Sirui Tan","orcid":"https://orcid.org/0000-0002-8150-3261"},"institutions":[{"id":"https://openalex.org/I170215575","display_name":"National University of Defense Technology","ror":"https://ror.org/05d2yfz11","country_code":"CN","type":"education","lineage":["https://openalex.org/I170215575"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Sirui Tan","raw_affiliation_strings":["National Key Laboratory of Science and Technology on ATR, National University of Defense Technology, Changsha, China"],"affiliations":[{"raw_affiliation_string":"National Key Laboratory of Science and Technology on ATR, National University of Defense Technology, Changsha, China","institution_ids":["https://openalex.org/I170215575"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101876956","display_name":"Weihua Wang","orcid":"https://orcid.org/0000-0002-6026-0942"},"institutions":[{"id":"https://openalex.org/I170215575","display_name":"National University of Defense Technology","ror":"https://ror.org/05d2yfz11","country_code":"CN","type":"education","lineage":["https://openalex.org/I170215575"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Weihua Wang","raw_affiliation_strings":["National Key Laboratory of Science and Technology on ATR, National University of Defense Technology, Changsha, China"],"affiliations":[{"raw_affiliation_string":"National Key Laboratory of Science and Technology on ATR, National University of Defense Technology, Changsha, China","institution_ids":["https://openalex.org/I170215575"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5005759434","display_name":"Chen Gao","orcid":"https://orcid.org/0000-0001-8700-1409"},"institutions":[{"id":"https://openalex.org/I170215575","display_name":"National University of Defense Technology","ror":"https://ror.org/05d2yfz11","country_code":"CN","type":"education","lineage":["https://openalex.org/I170215575"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Gao Chen","raw_affiliation_strings":["National Key Laboratory of Science and Technology on ATR, National University of Defense Technology, Changsha, China"],"affiliations":[{"raw_affiliation_string":"National Key Laboratory of Science and Technology on ATR, National University of Defense Technology, Changsha, China","institution_ids":["https://openalex.org/I170215575"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5108207876","display_name":"Cheng Liao","orcid":null},"institutions":[{"id":"https://openalex.org/I170215575","display_name":"National University of Defense Technology","ror":"https://ror.org/05d2yfz11","country_code":"CN","type":"education","lineage":["https://openalex.org/I170215575"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Cheng Liao","raw_affiliation_strings":["National Key Laboratory of Science and Technology on ATR, National University of Defense Technology, Changsha, China"],"affiliations":[{"raw_affiliation_string":"National Key Laboratory of Science and Technology on ATR, National University of Defense Technology, Changsha, China","institution_ids":["https://openalex.org/I170215575"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5070249253"],"corresponding_institution_ids":["https://openalex.org/I170215575"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.14760945,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"39 8","issue":null,"first_page":"457","last_page":"462"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10331","display_name":"Video Surveillance and Tracking Methods","score":0.9998999834060669,"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":0.9998999834060669,"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":0.9732999801635742,"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":0.972000002861023,"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/computer-science","display_name":"Computer science","score":0.7061136364936829},{"id":"https://openalex.org/keywords/discriminative-model","display_name":"Discriminative model","score":0.6571298241615295},{"id":"https://openalex.org/keywords/bittorrent-tracker","display_name":"BitTorrent tracker","score":0.6534092426300049},{"id":"https://openalex.org/keywords/support-vector-machine","display_name":"Support vector machine","score":0.6429070234298706},{"id":"https://openalex.org/keywords/tracking","display_name":"Tracking (education)","score":0.5548221468925476},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.5138869285583496},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.46791747212409973},{"id":"https://openalex.org/keywords/loop","display_name":"Loop (graph theory)","score":0.4403517544269562},{"id":"https://openalex.org/keywords/eye-tracking","display_name":"Eye tracking","score":0.14724716544151306},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.12883278727531433}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7061136364936829},{"id":"https://openalex.org/C97931131","wikidata":"https://www.wikidata.org/wiki/Q5282087","display_name":"Discriminative model","level":2,"score":0.6571298241615295},{"id":"https://openalex.org/C57501372","wikidata":"https://www.wikidata.org/wiki/Q2021268","display_name":"BitTorrent tracker","level":3,"score":0.6534092426300049},{"id":"https://openalex.org/C12267149","wikidata":"https://www.wikidata.org/wiki/Q282453","display_name":"Support vector machine","level":2,"score":0.6429070234298706},{"id":"https://openalex.org/C2775936607","wikidata":"https://www.wikidata.org/wiki/Q466845","display_name":"Tracking (education)","level":2,"score":0.5548221468925476},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.5138869285583496},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.46791747212409973},{"id":"https://openalex.org/C184670325","wikidata":"https://www.wikidata.org/wiki/Q512604","display_name":"Loop (graph theory)","level":2,"score":0.4403517544269562},{"id":"https://openalex.org/C56461940","wikidata":"https://www.wikidata.org/wiki/Q970687","display_name":"Eye tracking","level":2,"score":0.14724716544151306},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.12883278727531433},{"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/C114614502","wikidata":"https://www.wikidata.org/wiki/Q76592","display_name":"Combinatorics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/iccais52680.2021.9624658","is_oa":false,"landing_page_url":"https://doi.org/10.1109/iccais52680.2021.9624658","pdf_url":null,"source":{"id":"https://openalex.org/S4363608071","display_name":"2021 International Conference on Control, Automation and Information Sciences (ICCAIS)","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":"2021 International Conference on Control, Automation and Information Sciences (ICCAIS)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Reduced inequalities","id":"https://metadata.un.org/sdg/10","score":0.7400000095367432}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":16,"referenced_works":["https://openalex.org/W1955514522","https://openalex.org/W1964846093","https://openalex.org/W1997121481","https://openalex.org/W2044986361","https://openalex.org/W2118097920","https://openalex.org/W2124211486","https://openalex.org/W2154889144","https://openalex.org/W2470394683","https://openalex.org/W2520477759","https://openalex.org/W2557641257","https://openalex.org/W2799058067","https://openalex.org/W2964253307","https://openalex.org/W6677907805","https://openalex.org/W6678512814","https://openalex.org/W6703518758","https://openalex.org/W6720898849"],"related_works":["https://openalex.org/W2803618243","https://openalex.org/W3020706491","https://openalex.org/W256589335","https://openalex.org/W2804764393","https://openalex.org/W4385454113","https://openalex.org/W4386114301","https://openalex.org/W4386158955","https://openalex.org/W2914048681","https://openalex.org/W2806679586","https://openalex.org/W1984282557"],"abstract_inverted_index":{"The":[0,41,64,104,131],"open-loop":[1],"nature":[2],"of":[3,79],"target":[4,17,86],"trackers":[5],"makes":[6],"them":[7],"susceptible":[8],"to":[9,45,50,75,129],"degradation":[10],"caused":[11],"by":[12],"background":[13,80],"interference":[14],"and":[15,55,122,125],"hence":[16],"loss.":[18],"To":[19],"solve":[20],"this":[21,39],"problem,":[22],"an":[23],"improved":[24],"closed-loop":[25,102],"tracking":[26,53,57],"algorithm":[27,42,113,140],"based":[28],"on":[29,81,106,133],"Fast":[30],"Discriminative":[31],"Scale":[32],"Space":[33],"Tracker":[34],"(FDSST)":[35],"is":[36,87,96],"proposed":[37],"in":[38,118],"paper.":[40],"uses":[43,66],"SVM":[44,95],"build":[46],"a":[47,61],"verification":[48],"module":[49,91],"verify":[51],"the":[52,77,82,85,89,94,99,107,112,134,139],"results,":[54],"outputs":[56],"state":[58,62],"information":[59],"with":[60],"machine.":[63],"system":[65,100],"different":[67,73],"update":[68],"rate":[69,121],"adjustment":[70],"strategies":[71],"for":[72],"states":[74],"reduce":[76],"impact":[78],"tracker.":[83],"When":[84],"lost":[88],"re-detection":[90],"built":[92],"from":[93],"activated,":[97],"thus":[98],"has":[101,126,141],"characteristics.":[103],"results":[105],"OTB50":[108],"dataset":[109],"show":[110,137],"that":[111,138],"outperforms":[114],"some":[115],"mainstream":[116],"algorithms":[117],"both":[119],"success":[120],"distance":[123],"accuracy,":[124],"strong":[127],"resistance":[128],"occlusion.":[130],"tests":[132],"Hi3559A":[135],"platform":[136],"great":[142],"real-time":[143],"performance.":[144]},"counts_by_year":[],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
