iBet uBet web content aggregator. Adding the entire web to your favor.
iBet uBet web content aggregator. Adding the entire web to your favor.



Link to original content: https://api.openalex.org/works/doi:10.3390/INFO8040122
{"id":"https://openalex.org/W2763050509","doi":"https://doi.org/10.3390/info8040122","title":"Neutrosophic Similarity Score Based Weighted Histogram for Robust Mean-Shift Tracking","display_name":"Neutrosophic Similarity Score Based Weighted Histogram for Robust Mean-Shift Tracking","publication_year":2017,"publication_date":"2017-10-02","ids":{"openalex":"https://openalex.org/W2763050509","doi":"https://doi.org/10.3390/info8040122","mag":"2763050509"},"language":"en","primary_location":{"is_oa":true,"landing_page_url":"https://doi.org/10.3390/info8040122","pdf_url":"https://www.mdpi.com/2078-2489/8/4/122/pdf?version=1507540738","source":{"id":"https://openalex.org/S4210219776","display_name":"Information","issn_l":"2078-2489","issn":["2078-2489"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true},"type":"article","type_crossref":"journal-article","indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://www.mdpi.com/2078-2489/8/4/122/pdf?version=1507540738","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5064423778","display_name":"Ke\u2010Li Hu","orcid":"https://orcid.org/0000-0002-5628-7640"},"institutions":[{"id":"https://openalex.org/I192209268","display_name":"Shaoxing University","ror":"https://ror.org/0435tej63","country_code":"CN","type":"education","lineage":["https://openalex.org/I192209268"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Keli Hu","raw_affiliation_strings":["Department of Computer Science and Engineering, Shaoxing University, Shaoxing 312000, China"],"affiliations":[{"raw_affiliation_string":"Department of Computer Science and Engineering, Shaoxing University, Shaoxing 312000, China","institution_ids":["https://openalex.org/I192209268"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5068354785","display_name":"En Fan","orcid":"https://orcid.org/0000-0002-1354-1354"},"institutions":[{"id":"https://openalex.org/I192209268","display_name":"Shaoxing University","ror":"https://ror.org/0435tej63","country_code":"CN","type":"education","lineage":["https://openalex.org/I192209268"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"En Fan","raw_affiliation_strings":["Department of Computer Science and Engineering, Shaoxing University, Shaoxing 312000, China"],"affiliations":[{"raw_affiliation_string":"Department of Computer Science and Engineering, Shaoxing University, Shaoxing 312000, China","institution_ids":["https://openalex.org/I192209268"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100382930","display_name":"Jun Ye","orcid":"https://orcid.org/0000-0003-2841-6529"},"institutions":[{"id":"https://openalex.org/I192209268","display_name":"Shaoxing University","ror":"https://ror.org/0435tej63","country_code":"CN","type":"education","lineage":["https://openalex.org/I192209268"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jun Ye","raw_affiliation_strings":["Department of Electrical and Information Engineering, Shaoxing University, Shaoxing 312000, China"],"affiliations":[{"raw_affiliation_string":"Department of Electrical and Information Engineering, Shaoxing University, Shaoxing 312000, China","institution_ids":["https://openalex.org/I192209268"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5061992351","display_name":"Changxing Fan","orcid":"https://orcid.org/0000-0001-5542-9590"},"institutions":[{"id":"https://openalex.org/I192209268","display_name":"Shaoxing University","ror":"https://ror.org/0435tej63","country_code":"CN","type":"education","lineage":["https://openalex.org/I192209268"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Changxing Fan","raw_affiliation_strings":["Department of Computer Science and Engineering, Shaoxing University, Shaoxing 312000, China"],"affiliations":[{"raw_affiliation_string":"Department of Computer Science and Engineering, Shaoxing University, Shaoxing 312000, China","institution_ids":["https://openalex.org/I192209268"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5030903260","display_name":"Shigen Shen","orcid":"https://orcid.org/0000-0002-7558-5379"},"institutions":[{"id":"https://openalex.org/I192209268","display_name":"Shaoxing University","ror":"https://ror.org/0435tej63","country_code":"CN","type":"education","lineage":["https://openalex.org/I192209268"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Shigen Shen","raw_affiliation_strings":["Department of Computer Science and Engineering, Shaoxing University, Shaoxing 312000, China"],"affiliations":[{"raw_affiliation_string":"Department of Computer Science and Engineering, Shaoxing University, Shaoxing 312000, China","institution_ids":["https://openalex.org/I192209268"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5080641766","display_name":"Yuzhang Gu","orcid":"https://orcid.org/0000-0002-9935-5156"},"institutions":[{"id":"https://openalex.org/I4210147322","display_name":"Shanghai Institute of Microsystem and Information Technology","ror":"https://ror.org/04nytyj38","country_code":"CN","type":"facility","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210147322"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yuzhang Gu","raw_affiliation_strings":["Key Laboratory of Wireless Sensor Network & Communication, Shanghai Institute of Microsystem andInformation Technology, Chinese Academy of Sciences, Shanghai 200050, China"],"affiliations":[{"raw_affiliation_string":"Key Laboratory of Wireless Sensor Network & Communication, Shanghai Institute of Microsystem andInformation Technology, Chinese Academy of Sciences, Shanghai 200050, China","institution_ids":["https://openalex.org/I4210147322"]}]}],"institution_assertions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5064423778"],"corresponding_institution_ids":["https://openalex.org/I192209268"],"apc_list":{"value":1400,"currency":"CHF","value_usd":1515,"provenance":"doaj"},"apc_paid":{"value":1400,"currency":"CHF","value_usd":1515,"provenance":"doaj"},"fwci":0.606,"has_fulltext":true,"fulltext_origin":"ngrams","cited_by_count":6,"citation_normalized_percentile":{"value":0.605742,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":81,"max":82},"biblio":{"volume":"8","issue":"4","first_page":"122","last_page":"122"},"is_retracted":false,"is_paratext":false,"primary_topic":{"id":"https://openalex.org/T10331","display_name":"Video Surveillance and Tracking Methods","score":0.9919,"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":0.9919,"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/T10689","display_name":"Remote-Sensing Image Classification","score":0.9776,"subfield":{"id":"https://openalex.org/subfields/2214","display_name":"Media Technology"},"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":0.9557,"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/mean-shift","display_name":"Mean-shift","score":0.6466173},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.53257567},{"id":"https://openalex.org/keywords/similarity","display_name":"Similarity (geometry)","score":0.5266495},{"id":"https://openalex.org/keywords/bittorrent-tracker","display_name":"BitTorrent tracker","score":0.44897264}],"concepts":[{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.71864873},{"id":"https://openalex.org/C53533937","wikidata":"https://www.wikidata.org/wiki/Q185020","display_name":"Histogram","level":3,"score":0.67935836},{"id":"https://openalex.org/C132094186","wikidata":"https://www.wikidata.org/wiki/Q641585","display_name":"Clutter","level":3,"score":0.64723706},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.64691234},{"id":"https://openalex.org/C48548287","wikidata":"https://www.wikidata.org/wiki/Q6803557","display_name":"Mean-shift","level":3,"score":0.6466173},{"id":"https://openalex.org/C202474056","wikidata":"https://www.wikidata.org/wiki/Q1931635","display_name":"Video tracking","level":3,"score":0.5377346},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.53257567},{"id":"https://openalex.org/C103278499","wikidata":"https://www.wikidata.org/wiki/Q254465","display_name":"Similarity (geometry)","level":3,"score":0.5266495},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5218298},{"id":"https://openalex.org/C57501372","wikidata":"https://www.wikidata.org/wiki/Q2021268","display_name":"BitTorrent tracker","level":3,"score":0.44897264},{"id":"https://openalex.org/C2781238097","wikidata":"https://www.wikidata.org/wiki/Q175026","display_name":"Object (grammar)","level":2,"score":0.41794318},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.39950985},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.3780603},{"id":"https://openalex.org/C56461940","wikidata":"https://www.wikidata.org/wiki/Q970687","display_name":"Eye tracking","level":2,"score":0.30491477},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.11878309},{"id":"https://openalex.org/C554190296","wikidata":"https://www.wikidata.org/wiki/Q47528","display_name":"Radar","level":2,"score":0.09425706},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","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":3,"locations":[{"is_oa":true,"landing_page_url":"https://doi.org/10.3390/info8040122","pdf_url":"https://www.mdpi.com/2078-2489/8/4/122/pdf?version=1507540738","source":{"id":"https://openalex.org/S4210219776","display_name":"Information","issn_l":"2078-2489","issn":["2078-2489"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true},{"is_oa":false,"landing_page_url":"https://doaj.org/article/1523867d9a344cfb957e312d4345450a","pdf_url":null,"source":{"id":"https://openalex.org/S4306401280","display_name":"DOAJ (DOAJ: Directory of Open Access Journals)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":false},{"is_oa":true,"landing_page_url":"https://zenodo.org/record/1041629","pdf_url":"https://zenodo.org/records/1041629/files/NeutrosophicSimilarityScore.pdf","source":{"id":"https://openalex.org/S4306400562","display_name":"Zenodo (CERN European Organization for Nuclear Research)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I67311998","host_organization_name":"European Organization for Nuclear Research","host_organization_lineage":["https://openalex.org/I67311998"],"host_organization_lineage_names":["European Organization for Nuclear Research"],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true}],"best_oa_location":{"is_oa":true,"landing_page_url":"https://doi.org/10.3390/info8040122","pdf_url":"https://www.mdpi.com/2078-2489/8/4/122/pdf?version=1507540738","source":{"id":"https://openalex.org/S4210219776","display_name":"Information","issn_l":"2078-2489","issn":["2078-2489"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true},"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/10","display_name":"Reduced inequalities","score":0.68}],"grants":[{"funder":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China","award_id":"61772018"},{"funder":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China","award_id":"61603258"},{"funder":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China","award_id":"61703280"}],"datasets":[],"versions":[],"referenced_works_count":31,"referenced_works":["https://openalex.org/W172821394","https://openalex.org/W1807914171","https://openalex.org/W1963974799","https://openalex.org/W1989675337","https://openalex.org/W1995903777","https://openalex.org/W2024657922","https://openalex.org/W2027714080","https://openalex.org/W2045613518","https://openalex.org/W2057222675","https://openalex.org/W2060175823","https://openalex.org/W2089961441","https://openalex.org/W2102788021","https://openalex.org/W2109579504","https://openalex.org/W2110116545","https://openalex.org/W2112328181","https://openalex.org/W2126302311","https://openalex.org/W2132103241","https://openalex.org/W2135547413","https://openalex.org/W2137330118","https://openalex.org/W2140930947","https://openalex.org/W2149346582","https://openalex.org/W2153696615","https://openalex.org/W2159128898","https://openalex.org/W2170865122","https://openalex.org/W2469460131","https://openalex.org/W2589765509","https://openalex.org/W27604306","https://openalex.org/W4238307586","https://openalex.org/W58991120","https://openalex.org/W962500137","https://openalex.org/W981644709"],"related_works":["https://openalex.org/W4384788979","https://openalex.org/W3104472694","https://openalex.org/W2954509079","https://openalex.org/W2909390414","https://openalex.org/W2753886513","https://openalex.org/W2511178891","https://openalex.org/W2141888607","https://openalex.org/W2126676984","https://openalex.org/W178060743","https://openalex.org/W1487824918"],"abstract_inverted_index":{"Visual":[0],"object":[1,16,132],"tracking":[2],"is":[3,25,35,87,113,147,167,188,193],"a":[4,45,64,88,114,182,201],"critical":[5],"task":[6],"in":[7,44,149],"computer":[8],"vision.":[9],"Challenging":[10],"things":[11],"always":[12],"exist":[13],"when":[14,217],"an":[15],"needs":[17],"to":[18,73,118,169,175],"be":[19],"tracked.":[20],"For":[21],"instance,":[22],"background":[23,53,137,219],"clutter":[24,54],"one":[26],"of":[27,39,47,52,91,116,126,143,203],"the":[28,50,75,79,82,106,120,131,136,144,150,162,177],"most":[29],"challenging":[30],"problems.":[31],"The":[32,190,207],"mean-shift":[33,76,121,186,197],"tracker":[34,77,187,192],"quite":[36],"popular":[37],"because":[38],"its":[40,57],"efficiency":[41],"and":[42,98,135,140,159,174],"performance":[43],"range":[46],"conditions.":[48],"However,":[49],"challenge":[51],"also":[55],"disturbs":[56],"performance.":[58],"In":[59,101],"this":[60,102],"article,":[61],"we":[62,104],"propose":[63],"novel":[65,183],"weighted":[66,185],"histogram":[67,146],"based":[68,198],"on":[69,200],"neutrosophic":[70,109,163,184],"similarity":[71,134,164],"score":[72,165],"help":[74],"discriminate":[78],"target":[80],"from":[81],"background.":[83],"Neutrosophic":[84],"set":[85,110],"(NS)":[86],"new":[89],"branch":[90],"philosophy":[92],"for":[93],"dealing":[94],"with":[95,195],"incomplete,":[96],"indeterminate,":[97],"inconsistent":[99],"information.":[100],"paper,":[103],"utilize":[105],"single":[107],"valued":[108],"(SVNS),":[111],"which":[112],"subclass":[115],"NS":[117],"improve":[119],"tracker.":[122],"First,":[123],"two":[124,172],"kinds":[125],"criteria":[127,173],"are":[128],"considered":[129],"as":[130],"feature":[133,138],"similarity,":[139],"each":[141],"bin":[142],"weight":[145,179],"represented":[148],"SVNS":[151],"domain":[152],"via":[153],"three":[154],"membership":[155],"functions":[156],"T(Truth),":[157],"I(indeterminacy),":[158],"F(Falsity).":[160],"Second,":[161],"function":[166],"introduced":[168],"fuse":[170],"those":[171],"build":[176],"final":[178],"histogram.":[180],"Finally,":[181],"proposed.":[189],"proposed":[191],"compared":[194],"several":[196],"trackers":[199],"dataset":[202],"61":[204],"public":[205],"sequences.":[206],"results":[208],"revealed":[209],"that":[210],"our":[211],"method":[212],"outperforms":[213],"other":[214],"trackers,":[215],"especially":[216],"confronting":[218],"clutter.":[220]},"cited_by_api_url":"https://api.openalex.org/works?filter=cites:W2763050509","counts_by_year":[{"year":2022,"cited_by_count":1},{"year":2019,"cited_by_count":2},{"year":2018,"cited_by_count":3}],"updated_date":"2024-12-08T16:25:42.234526","created_date":"2017-10-20"}